Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. IOE 899 Seminar: Peter Frazier, Cornell University and Uber (September 12, 2018 4:00pm) https://events.umich.edu/event/54693 54693-13636286@events.umich.edu Event Begins: Wednesday, September 12, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Abstract: We discuss Bayesian optimization, a class of methods for optimizing expensive or slow-to-evaluate objective functions. We describe optimization as a decision-making task ("where should I sample next?"), and show how guidance from decision theory can reduce the number of function evaluations required to find approximate optima. We discuss these methods in the context of applications from the tech sector: optimizing e-commerce systems, real-time economic markets, mobile apps, and hyperparameters in machine learning algorithms. Motivated by these applications, we present a new Bayesian optimization method designed for parallel noisy function evaluations, the parallel knowledge gradient method. This method makes use of infinitessimal perturbation analysis within a stochastic approximation framework to find a one-step average-case optimal set of points at which to evaluate the objective function. We conclude with examples of how this and other closely-related methods are used in practice, based on the speaker's experiences working with Yelp, Uber, and the Bayesian Optimization startup company, SigOpt.

This talk is based on https://arxiv.org/abs/1807.02811 and https://arxiv.org/abs/1606.04414.

Bio: Peter Frazier is an Associate Professor in the School of Operations Research and Information Engineering at Cornell University. He works on learning and decision-making, including Bayesian optimization, multi-armed bandits, optimization via simulation, and incentivized exploration. He is also a Staff Data Scientist at Uber, where he works on pricing and marketplace design. He received a Ph.D. in Operations Research and Financial Engineering from Princeton University in 2009. He is the recipient of an AFOSR Young Investigator Award and an NSF CAREER Award, and is an associate editor for Operations Research, ACM TOMACS, and IISE Transactions.

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Lecture / Discussion Tue, 04 Sep 2018 13:28:20 -0400 2018-09-12T16:00:00-04:00 2018-09-12T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Yafeng Yin, U-M CEE (September 19, 2018 4:00pm) https://events.umich.edu/event/54403 54403-13581104@events.umich.edu Event Begins: Wednesday, September 19, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Abstract: Ride-sourcing companies such as Uber, Lyft and Didi Chuxing are transforming the way people travel in cities. These companies provide ride-hailing applications that intelligently match riders to drivers; drivers are private car owners who drive their own vehicles to provide ride-for-hire services for profit. Since their advent in 2009, ride-sourcing companies have enjoyed huge success, but also created many controversies. One of them centered on surge pricing, which algorithmically varies price across different geographic areas and periods. In this talk, we present an equilibrium modeling framework for analyzing ride-sourcing systems to estimate the impacts of surge pricing on the overall system performance. We will discuss critical ingredients of the modeling framework, including capturing drivers’ labor supply decision, and approximating the market frictions due to the matching technology adopted by a ride-sourcing platform to match riders and drivers. We will then configure the framework to develop various models to investigate the pricing of the ride-sourcing markets and its welfare impacts. Potential regulatory policies are subsequently discussed.

Bio: Dr. Yafeng Yin is a Professor at Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor. He works in the area of transportation systems analysis and modeling, and has published approximately 100 refereed papers in leading academic journals. Dr. Yin is the Editor-in-Chief of Transportation Research Part C: Emerging Technologies. He is also an Associate Editor of Transportation Science, and serves on the editorial boards for another four transportation journals such as Transportation Research Part B: Methodological. Dr. Yin received his Ph.D. from the University of Tokyo, Japan in 2002, his master’s and bachelor’s degrees from Tsinghua University, Beijing, China in 1996 and 1994 respectively. Prior to his current appointment at the University of Michigan, he was a faculty member at University of Florida between 2005 and 2016. He worked as a postdoctoral researcher and then assistant research engineer at University of California at Berkeley between 2002 and 2005. Between 1996 and 1999, he was a lecturer at Tsinghua University. Dr. Yin has received recognition from different institutions. He was one of the five recipients of the 2012 Doctoral Mentoring Award from University of Florida in recognition of his outstanding graduate student advising and mentoring. One of his papers won the 2016 Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award from Transportation Research Board. He was recently elected to serve on the International Advisory Committee of the International Symposium of Transportation and Traffic Theory (ISTTT).

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Lecture / Discussion Wed, 19 Sep 2018 14:30:45 -0400 2018-09-19T16:00:00-04:00 2018-09-19T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 836 Seminar: Matthew P. Reed, PhD (September 21, 2018 12:00pm) https://events.umich.edu/event/55486 55486-13747854@events.umich.edu Event Begins: Friday, September 21, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: The Meaning is the Variance: Population Heterogeneity Should be the Focus of Ergonomics and Biomechanics Research

Bio: Matthew P. Reed, PhD., is the Don B. Chaffin Collegiate Research Professor and head of the Biosciences Group of the University of Michigan Transportation Research Institute. He also has appointments in Integrative Systems and Design, where he is Chair of the interdisciplinary Design Science program, and Industrial and Operations Engineering, where he leads the Human Motion Simulation Laboratory in the Center for Ergonomics. Dr. Reed’s research focuses on vehicle safety, engineering anthropometry, and ergonomics. He is an author of more than 250 publications relating to humans in engineered systems. Dr. Reed is a Fellow in SAE International and a member of the SAE Human Accommodation and Design Devices Committee, Driver Vision Standards Committee, and Truck and Bus Human Factors Committee. He has received outstanding paper awards from SAE, including the Arch T. Colwell Merit Award, the Myers Award, and the Isbrandt Award for crash safety research. He currently serves as vice-president of the International Research Council on the Biomechanics of Injury.

Abstract: The “50th-percentile” male is never the limiting case, and the “5th-percentile female” and “95th-percentile male” don’t exist. Why do people keep talking about them? I will discuss why mean and univariate effects in ergonomics and biomechanics often leave out most of the interesting phenomena and why we should focus our efforts in education and research on rigorous, multivariate consideration of population heterogeneity with examples from industrial ergonomics, product design, and crash safety.

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Lecture / Discussion Mon, 17 Sep 2018 13:33:25 -0400 2018-09-21T12:00:00-04:00 2018-09-21T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Gian-Gabriel Garcia, University of Michigan (September 26, 2018 4:00pm) https://events.umich.edu/event/55683 55683-13768280@events.umich.edu Event Begins: Wednesday, September 26, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Data-driven Optimization Models for Concussion Management Decisions

Abstract: Concussion, the most common type of traumatic brain injury, is an emerging public health issue. It is characterized by an alteration of neurologic function and wide-ranging symptoms including memory loss and confusion. Furthermore, recent research has begun to shed light on the relationship between concussion and long-term health consequences including cognitive impairment, neurodegenerative disease, increased risk for depression, and early onset dementia. Concussion management plays a critical role in long and short-term health outcomes for those with concussion. A major challenge in concussion management is using large observational data sets to design guidelines for concussion diagnosis decisions. We address this challenge by formulating a data- driven framework which combines predictive modeling and stochastic programming to guide diagnosis decisions. We show that for concussion, our framework can accurately identify those with and without concussion while limiting misdiagnoses. Furthermore, our framework facilitates the identification of key characteristics shared by patients who are the most difficult to diagnose accurately. Finally, we discuss ongoing extensions to this work. The models developed in this research provide valuable insights to clinicians and can be extended to application in other disease areas.

Bio: Gian-Gabriel Garcia is a PhD Candidate in the Industrial and Operations Engineering Department at the University of Michigan. He holds a Bachelor’s degree in Industrial Engineering from the University of Pittsburgh and a Master’s degree in Industrial and Operations Engineering from the University of Michigan. His primary research interest is in improving medical decision making through the development and analysis of models which incorporate optimization under uncertainty, stochastic modeling, game theory, and predictive modeling. His most recent work includes applications to concussion, glaucoma, and cardiovascular disease. Among others, Gian is the recipient of the National Science Foundation Graduate Research Fellowship, the INFORMS Bonder Scholarship for Applied Operations Research in Health Services, the Rackham Merit Fellowship, and first prize at the INFORMS Minority Issues Forum Poster Competition. He has also received honorable mention for the Ford Foundation Pre-doctoral Fellowship.

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Lecture / Discussion Wed, 19 Sep 2018 15:32:14 -0400 2018-09-26T16:00:00-04:00 2018-09-26T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Photo of Gian-Gabriel Garcia
International Movie Night Series (September 27, 2018 7:00pm) https://events.umich.edu/event/55895 55895-13802790@events.umich.edu Event Begins: Thursday, September 27, 2018 7:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Office of Student Affairs

Event: International Movie Night Series

Let’s watch a movie together! A movie that tells a story that you have never heard…We will watch four international movies from four different countries during the Fall term. The first movie is “3 Idiots”. Two friends embark on a quest for a lost buddy. On this journey, they encounter a long forgotten bet, a wedding they must crash, and a funeral that goes, ridiculously out of control. As they make their way through the perilous landscape, another journey begins: their inner journey through memory lane and the story of their friend -- the impressible free-thinker Rancho, who is in unique way, touched and changed their lives. It's a story of their hostel days that swings between Rancho's romance with the spirited Pia, and his clash with an oppressive mentor, Viru Sahastrabudhhe. And then one day, suddenly, Rancho vanished. Who was he? Where did he come from? Why did he leave? The friend who influenced and inspired them to think creatively and independently, even as the conformist world called them "three idiots." Where is the original idiot now? Finally, in misty mountains of unparalleled beauty, the friends find the key to the secret. -Rotten Tomatoes

*This event is funded by the College of Engineering Diversity, Equity & Inclusion Committee and the Office of Student Affairs. For more information, contact Ece Sanci, ecesanci@umich.edu.

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Film Screening Mon, 24 Sep 2018 11:27:46 -0400 2018-09-27T19:00:00-04:00 2018-09-27T21:00:00-04:00 Industrial and Operations Engineering Building Engineering Office of Student Affairs Film Screening Industrial and Operations Engineering Building
IOE 836 Seminar: Albert Fu and HFES Chapter (September 28, 2018 12:00pm) https://events.umich.edu/event/55925 55925-13805094@events.umich.edu Event Begins: Friday, September 28, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Lumped Parameter Modeling of Human Gait for Predicting and Evaluating Drop Foot Patient’s Gait

Bio: The University of Michigan Human Factors and Ergonomics Society Student Chapter is organized to serve the needs of the human factors profession at the University of Michigan. Its purpose is to promote and advance the understanding of human factors involved in the design, manufacture, and use of machines, systems, environments, and devices of all kinds through the interchange of knowledge and methodology in the behavioral, biological, and physical sciences and in industrial and operations engineering, design science, computer science, information, psychology, and other relevant disciplines.

Abstract: There will be two parts of this talk. The first part, will be about the University of Michigan HFES Student Chapter, including goals, events, and membership benefits. The second part, will cover Albert's own research. The research focuses on human gait modeling which is motivated by the demands of a decision support system in orthotic clinics. This system aims at using AFO designs and patient's individual parameters as inputs, to predict and evaluate the gait pattern, and then to guide the AFO designs. The current gait model utilizes pendulum and inverted pendulum movements to approach the human gait.

Refreshments Provided!

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Lecture / Discussion Mon, 24 Sep 2018 16:15:12 -0400 2018-09-28T12:00:00-04:00 2018-09-28T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Anna Nagurney, Isenberg School of Management, University of Massachusetts (October 5, 2018 10:00am) https://events.umich.edu/event/54404 54404-13581105@events.umich.edu Event Begins: Friday, October 5, 2018 10:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Note: As part of the IOE Diversity Series there will be a Diversity Breakfast in Room 2869 IOE at 9:00AM, followed by seminar in 2717 IOE at 10:00AM

Abstract: The number of disasters is growing as well as the number of people affected by them with 2017 being the most costly year for the US in terms of natural disasters. In this presentation, I will describe our research on the development of game theory network models for disaster relief that integrate financial flows from donors as well as the logistics associated with relief item deliveries. Both Generalized Nash Equilibrium as well as Nash Equilibrium constructs will be given and the associated methodologies for the formulation, analysis, and computation to the models outlined. Case studies on Hurricane Katrina as well as the tornados that hit western Massachusetts in 2011 will be presented, which provide surprising insights of relevance to policymakers.


Bio: Anna Nagurney is the John F. Smith Memorial Professor at the Isenberg School of Management at the University of Massachusetts Amherst and the Director of the Virtual Center for Supernetworks, which she founded in 2001. She holds ScB, AB, ScM and PhD degrees from Brown University in Providence, RI. She is the author of 14 books, more than 190 refereed journal articles, and over 50 book chapters. She presently serves on the editorial boards of a dozen journals and two book series and is the editor of another book series. Professor Nagurney has been a Fulbrighter twice (in Austria and Italy), was a Visiting Professor at the School of Business, Economics and Law at the University of Gothenburg in Sweden and was a Distinguished Guest Visiting Professor at the Royal Institute of Technology (KTH) in Stockholm. She was a Visiting Fellow at All Souls College at Oxford University during the 2016 Trinity Term and a Summer Fellow at the Radcliffe Institute for Advanced Study at Harvard in 2017 and 2018. Anna has held visiting appointments at MIT and at Brown University and was a Science Fellow at the Radcliffe Institute for Advanced Study at Harvard University in 2005-2006. She has been recognized for her research on networks with the Kempe prize from the University of Umea, the Faculty Award for Women from the US National Science Foundation, the University Medal from the University of Catania in Italy, and was elected a Fellow of the RSAI (Regional Science Association International) as well as INFORMS (Institute for Operations Research and the Management Sciences) among other awards. She has also been recognized with several awards for her mentorship of students and her female leadership with the WORMS Award, for example. Her research has garnered support from the AT&T Foundation, the Rockefeller Foundation through its Bellagio Center programs, the Institute for International Education, and the National Science Foundation. She has given plenary/keynote talks and tutorials on 5 continents. She is an active member of professional societies, including INFORMS, POMS, and RSAI.

Anna's research focuses on network systems from transportation and logistical ones, including supply chains, to financial, economic, social networks and their integration, along with the Internet. She studies and models complex behaviors on networks with a goal towards providing frameworks and tools for understanding their structure, performance, and resilience and has contributed also to the understanding of the Braess paradox in transportation networks and the Internet. She has also been researching sustainability and quality issues with applications ranging from pharmaceutical and blood supply chains to perishable food products and fast fashion to humanitarian logistics. She has advanced methodological tools used in game theory, network theory, equilibrium analysis, and dynamical systems. She was a Co-PI on a multi-university NSF grant with UMass Amherst as the lead: Network Innovation Through Choice, which was part of the Future Internet Architecture (FIA) program and is presently a Co-PI on an NSF EAGER grant.

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Lecture / Discussion Wed, 29 Aug 2018 10:57:25 -0400 2018-10-05T10:00:00-04:00 2018-10-05T11:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
2018 IOE Alumni Merit Award Recipient: Robert G. Sargent (October 5, 2018 12:00pm) https://events.umich.edu/event/55624 55624-13765964@events.umich.edu Event Begins: Friday, October 5, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Please join us for a lunch and seminar with the 2018 IOE Alumni Merit Award Recipient, Robert G. Sargent

Title: My Journey in Simulation

Abstract:
A leading figure in the simulation community, Robert G. Sargent will discuss his life prior to learning about discrete-event simulation, a brief history of simulation, his professional life observations which span decades of service and how he fostered significant contributions to the field throughout his career.

Bio:
Robert G. Sargent is a Professor Emeritus of Syracuse University. At Syracuse, Dr. Sargent held appointments in different departments and interdisciplinary programs in the L. C. Smith College of Engineering and Computer Science and was Director of the Simulation Research Group. Professor Sargent received his education at University of Michigan, earning a BSE(EE) in 1959, MS in Industrial Administration in 1963, and a Ph.D. in Industrial Engineering in 1966. A simulation scientist and former President of The Institute of Management Sciences (TIMS) College of Simulation and Gaming (now the INFORMS Simulation Society) his work in simulation created an environment and relationship in which he could foster significant contributions to the field throughout his career.

Dr. Sargent’s current research interests include the methodology areas of modeling and discrete event simulation, model validation, and performance evaluation. Professor Sargent has made numerous research contributions in his career. He was one of the first individuals to initiate the modeling of computer systems for performance evaluation and this work included the analysis of system data. Most of his research contributions have been in the methodology areas of simulation including the modeling area, computational speedup, statistical output analysis, verification and validation, visual interactive simulation systems, and the theory of simulation.

Dr. Sargent is especially well known for his work in validation of simulation models. He has developed numerous validation techniques, approaches, and methodologies and also graphical views of how Verification and Validation (V&V) relate to the modeling process. His paper “Verification and Validation of Simulation Models” received one of the Winter Simulation Conference 40th anniversary landmark paper awards in 2007. For over twenty-five years the U.S. Air Force supported Dr. Sargent’s academic research and applied work on military problems. Professor Sargent has performed considerable professional service and he has received several awards and honors for his professional contributions including the INFORMS Simulation Society Lifetime Professional Achievement Award, INFORMS Simulation Society Distinguished Service Award, ACM SIGSIM Distinguished Contributions Award, service awards from ACM and IIE, and selection as a Fellow of INFORMS.


RSVP at: https://goo.gl/forms/rwvhBd6kGjVwOyEy2

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Lecture / Discussion Mon, 24 Sep 2018 12:29:06 -0400 2018-10-05T12:00:00-04:00 2018-10-05T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion photo of Robert Sargent
IOE 899 Seminar: Hiba Baroud, Vanderbilt University (October 10, 2018 4:00pm) https://events.umich.edu/event/56108 56108-13832579@events.umich.edu Event Begins: Wednesday, October 10, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: "Bayesian Methods for Achieving a Sustainable Resilience of Infrastructure and Communities"

Abstract
The protection of critical infrastructure has recently garnered attention with an emphasis on analyzing the risk, improving the resilience, and planning for the sustainability of such networks. Critical infrastructure systems are essential to our economy and society, however, they frequently face disruptions leading to cascading failures across other systems. One challenge is the ability to make accurate predictions of post-disruption systems behavior that capture time and uncertainty dynamics. This talk will cover Bayesian methods developed to address challenges in risk-based predictive analytics. The methods integrate hierarchical Bayesian models with kernel functions to account for uncertainty, prior knowledge, and systems information. In addition, Bayesian updating of infrastructure network response under multiple hazard scenarios is discussed. Case studies to illustrate these methods include resilience modeling of power and water systems.

Bio
Hiba Baroud is an assistant professor in the Departments of Civil and Environmental Engineering and Earth and Environmental Sciences, and the Littlejohn Dean’s Faculty Fellow. Her work explores data and decision analytics to model the resilience and sustainability of critical infrastructure systems and communities. Her research applications are focused on smart cities as well as developing countries. Hiba’s prior experience includes a summer research with IBM at the Watson Research Center, a fellowship at George Washington University Center for International Business Education and Research, and a visiting position in the Department of Geography and Environmental Engineering at Johns Hopkins University.

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Lecture / Discussion Mon, 08 Oct 2018 13:14:16 -0400 2018-10-10T16:00:00-04:00 2018-10-10T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 836 Seminar: Bernard Martin, PhD (October 12, 2018 12:00pm) https://events.umich.edu/event/56460 56460-13906089@events.umich.edu Event Begins: Friday, October 12, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Bio: Bernard J. Martin received an Engineering degree in applied physics from the Ecole Nationale Supérieure de Physique de Marseille, France; Ph.D. (biomedical engineering) and Dr.Sci. (Neuroscience) degrees from the Université de Provence, Marseille, France, in 1980 and 1989, respectively. He is currently an Associate Professor in the Department of Industrial and Operations Engineering and Adjunct Research Scientist in the School of Kinesiology, University of Michigan. His research interests are in human motor control, sensorimotor systems, muscle fatigue, biomechanics, motion simulation, human vibration, and stroke rehabilitation.

Abstract: Work-related neck and shoulder pains are highly prevalent in jobs with low physical exposure. Myalgia of the trapezius muscle is one of the most prevalent work-related neck-shoulder disorders and muscle fatigue is widely considered a precursor of such disorders. There is evidence that long-lasting low-level activity of the trapezius muscle appears as a crucial link in the pathway from workplace physiological and psychological demands to the development of work related neck pain. A possible approach to reduce the risks associated with muscle fatigue is to disrupt the monotonous muscle activity by adding frequent, active breaks during the working task. In the first phase of our investigation the long lasting component of trapezius muscle fatigue resulting from low-level, sustained working task and spatio-temporal distribution of EMG activity are investigated in two conditions including passive break or active disruption of muscle contraction. Muscle fatigue develops and persists after the end of the workday. It appears that the alteration of force control may be associated with the corresponding fatigue. However, these phenomena seem to be counteracted by disruption of muscle contraction monotony by active interventions during the workday. Indeed, the presence of active disruptions also induces changes in the timing and degree of EMG activity as well as features of trapezius active areas. The extent of these adaptations appears to be subject and work task dependent but seem to be beneficial for the reduction of muscle fatigue.

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Lecture / Discussion Fri, 05 Oct 2018 15:01:24 -0400 2018-10-12T12:00:00-04:00 2018-10-12T13:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Christopher Ryan, Booth School of Business, University of Chicago (October 17, 2018 4:00pm) https://events.umich.edu/event/56290 56290-13876219@events.umich.edu Event Begins: Wednesday, October 17, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Monotonicity of optimal contracts without the first-order approach

Abstract: We develop a simple sufficient condition for an optimal contract of a moral hazard problem to be monotone in the output signal. Existing results on monotonicity require conditions on the output distribution (namely, the monotone likelihood ratio property (MLRP)) and additional conditions to guarantee that agent’s decision is approachable via the first-order approach of replacing that problem with its first-order conditions. We know of no positive monotonicity results in the setting where the first-order approach does not apply. Indeed, it is well documented that when there are finitely many possible outputs, and the first-order approach does not apply, the MLRP alone is insufficient to guarantee monotonicity. However, we show that when there is an interval of possible output signals, the MLRP does suffice to establish monotonicity under additional technical assumptions that do not guarantee the validity of the first-order approach. To establish this result we examine necessary optimality conditions for moral hazard problems using a novel penalty function approach. We then manipulate these conditions and provide sufficient conditions for when they coincide with a simple version of the moral hazard problem with only two constraints. In this two-constraint problem, monotonicity is established directly via a strong characterization of its optimal solutions.

Bio: Chris is an Associate Professor of Operations Management at the University of Chicago Booth School of Business and studies the theory of optimization (including infinite-dimensional, discrete, and stochastic) with applications to theoretical economics (contract theory, game theory, and mechanism design), decision problems in the digital economy (particularly video games and apps), and healthcare operations management.

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Lecture / Discussion Tue, 02 Oct 2018 11:06:12 -0400 2018-10-17T16:00:00-04:00 2018-10-17T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
International Movie Night Series (October 18, 2018 7:00pm) https://events.umich.edu/event/56612 56612-13958273@events.umich.edu Event Begins: Thursday, October 18, 2018 7:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Office of Student Affairs

Let’s watch a movie together! A movie that tells a story that you have never heard…
We will watch four international movies from four different countries during the Fall term. The second movie is “A Taxi Driver”.

In this powerful true story set in 1980, a down-on-his-luck taxi driver from Seoul is hired by a foreign journalist who wants to go to the town of Gwangju for the day. They arrive to find a city under siege by the military government, with the citizens, led by a determined group of college students, rising up to demand freedom. What began as an easy fare becomes a life-or-death struggle in the midst of the Gwangju Uprising, a critical event in modern South Korea. -Rotten Tomatoes

*This event is funded by Diversity, Equity & Inclusion and Office of Student Affairs.

**Dinner will be provided.

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Film Screening Thu, 11 Oct 2018 08:09:52 -0400 2018-10-18T19:00:00-04:00 2018-10-18T21:00:00-04:00 Industrial and Operations Engineering Building Engineering Office of Student Affairs Film Screening Industrial and Operations Engineering Building
IOE 899 and MICDE Seminar series: Juan Pablo Vielma, MIT Sloan School of Management (October 24, 2018 4:00pm) https://events.umich.edu/event/55686 55686-13768286@events.umich.edu Event Begins: Wednesday, October 24, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Modeling power of mixed integer convex optimization problems and their effective solution with Julia and JuMP

Abstract:
More than 50 years of development have made mixed integer linear programming (MILP) an extremely successful tool. MILP's modeling flexibility allows it describe a wide range of business, engineering and scientific problems, and, while MILP is NP-hard, many of these problems are routinely solved in practice thanks to state-of-the- art solvers that nearly double their machine-independent speeds every year. Inspired by this success, the last decade has seen a surge of activity on the solution and application of mixed integer convex programming (MICP), which extends MILP's versatility by allowing the use of convex constraints in addition to linear inequalities. In this talk we cover various recent developments concerning theory, algorithms and computation for MICP. Solvers for MICP can be significantly more effective than those for more general non-convex optimization, so one of the questions we cover in this talk is what classes of non-convex constraints can be modeled through MICP. We also cover the solution of MICP problems through polyhedral approximation algorithms that exploit the power of extended formulations. Finally, we cover various topics concerning the modeling and computational solution of MICP problems using the Julia programming language and the JuMP modeling language for optimization. In Particular, we show how mixed integer optimal control problems where the variables are polynomials can be easily modeled and solved by seamlessly combining several Julia packages and JuMP extensions with the Julia-written MICP solver Pajarito.

Bio:
Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Associate Professor at MIT Sloan School of Management and is affiliated to MIT’s Operations Research Center. Dr. Vielma has a B.S. in Mathematical Engineering from University of Chile and a Ph.D. in Industrial Engineering from the Georgia Institute of Technology. His current research interests include the theory and practice of mixed-integer mathematical optimization and applications in natural resource management, marketing and statistics. In January of 2017 he was named by President Obama as one of the recipients of the Presidential Early Career Award for Scientists and Engineers (PECASE). Some of his other recognitions include the NSF CAREER Award, the INFORMS Computing Society Prize and a first prize in the INFORMS Junior Faculty Interest Group Paper Competition. He served as vice-chair of Integer and Discrete Optimization for the INFORMS Optimization Society and as chair of the INFORMS Section on Energy, Natural Resources, and the Environment. He is currently an associate editor for Operations Research and Operations Research Letters, a member of the NumFocus steering committee for JuMP, and the Faculty Director for the MIT-Chile program of MIT's International Science and Technology Initiatives (MISTI).

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Lecture / Discussion Tue, 25 Sep 2018 13:37:33 -0400 2018-10-24T16:00:00-04:00 2018-10-24T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
Juan Pablo Vielma: Modeling Power of Mixed Integer Convex Optimization Problems And Their Effective Solution with Julia and Jump (October 24, 2018 4:00pm) https://events.umich.edu/event/55828 55828-13779929@events.umich.edu Event Begins: Wednesday, October 24, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: Michigan Institute for Computational Discovery and Engineering

More than 50 years of development have made mixed integer linear programming (MILP) an extremely successful tool. MILP’s modeling flexibility allows it describe a wide range of business, engineering and scientific problems, and, while MILP is NP-hard, many of these problems are routinely solved in practice thanks to state-of-the-art solvers that nearly double their machine-independent speeds every year. Inspired by this success, the last decade has seen a surge of activity on the solution and application of mixed integer convex programming (MICP), which extends MILP’s versatility by allowing the use of convex constraints in addition to linear inequalities. In this talk we cover various recent developments concerning theory, algorithms and computation for MICP. Solvers for MICP can be significantly more effective than those for more general non-convex optimization, so one of the questions we cover in this talk is what classes of non-convex constraints can be modeled through MICP. We also cover the solution of MICP problems through polyhedral approximation algorithms that exploit the power of extended formulations. Finally, we cover various topics concerning the modeling and computational solution of MICP problems using the Julia programming language and the JuMP modeling language for optimization. In Particular, we show how mixed integer optimal control problems where the variables are polynomials can be easily modeled and solved by seamlessly combining several Julia packages and JuMP extensions with the Julia-written MICP solver Pajarito.

Juan Pablo Vielma is the Richard S. Leghorn (1939) Career Development Associate Professor at MIT Sloan School of Management and is affiliated to MIT’s Operations Research Center. Dr. Vielma has a B.S. in Mathematical Engineering from University of Chile and a Ph.D. in Industrial Engineering from the Georgia Institute of Technology. His current research interests include the theory and practice of mixed-integer mathematical optimization and applications in natural resource management, marketing and statistics.

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Workshop / Seminar Fri, 21 Sep 2018 12:43:34 -0400 2018-10-24T16:00:00-04:00 2018-10-24T17:00:00-04:00 Industrial and Operations Engineering Building Michigan Institute for Computational Discovery and Engineering Workshop / Seminar Industrial and Operations Engineering Building
IOE 899 Seminar: Rachel Cummings, Georgia Institute of Technology (October 31, 2018 4:00pm) https://events.umich.edu/event/56593 56593-13951428@events.umich.edu Event Begins: Wednesday, October 31, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: "Differential Privacy for Growing Databases"

Abstract:
We study the design of differentially private algorithms for adaptive analysis of dynamically growing databases, where a database accumulates new data entries while the analysis is ongoing. We provide a collection of tools for machine learning and other types of data analysis that guarantee differential privacy and accuracy as the underlying databases grow arbitrarily large. We give both a general technique and a specific algorithm for adaptive analysis of dynamically growing databases. Our general technique is illustrated by two algorithms that schedule black box access to some algorithm that operates on a fixed database to generically transform private and accurate algorithms for static databases into private and accurate algorithms for dynamically growing databases. These results show that almost any private and accurate algorithm can be rerun at appropriate points of data growth with minimal loss of accuracy, even when data growth is unbounded. Our specific algorithm directly adapts the private multiplicative weights algorithm to the dynamic setting, maintaining the accuracy guarantee of the static setting through unbounded data growth. Along the way, we develop extensions of several other differentially private algorithms to the dynamic setting, which may be of independent interest for future work on the design of differentially private algorithms for growing databases. (Joint work with Sara Krehbiel, Kevin Lai, and Uthaipon Tantipongpipat.)

Bio:
Dr. Rachel Cummings is an Assistant Professor of Industrial and Systems Engineering and Computer Science (by courtesy) at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. Dr. Cummings received her PhD. in Computing and Mathematical Sciences from the California Institute of Technology, her M.S. in Computer Science from Northwestern University, and her B.A. in Mathematics and Economics from the University of Southern California. She is the recipient of a Simons-Berkeley Research Fellowship in Data Privacy, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, and the Best Paper Award at the 2014 International Symposium on Distributed Computing

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Lecture / Discussion Wed, 10 Oct 2018 14:40:48 -0400 2018-10-31T16:00:00-04:00 2018-10-31T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion photo of Rachel Cummings
IOE 836 Seminar: John W. Gosbee, MD, MS (November 2, 2018 12:00pm) https://events.umich.edu/event/57161 57161-14121963@events.umich.edu Event Begins: Friday, November 2, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Bio: John Gosbee, MD, MS teaches human factors engineering (HFE) and patient safety at the University of Michigan Departments of Internal Medicine and Biomedical Engineering. He leads development of patient safety curriculum for several medical and surgical residencies. He teaches HFE for several BME design courses, including capstone design courses, observation course, and regulatory science. He also provides HFE consultation to UM research projects that involve new device design (e.g., teleophthalmology). He has been visiting professor at dozens of universities, including Penn, Johns Hopkins, and Yale University. He has received two national awards for patient safety design (ISMP’s “Cheers Award” and AAMI’s “Career Achievement Award”. Among dozens of other publications, he edited and co-wrote the book, Using Human Factors Engineering to Improve Patient Safety. Previously, Dr Gosbee worked at Department of Veterans Affairs - National Center for Patient Safety, Assistant Professor at Michigan State University, and NASA on development of space-based medical facilities.

Abstract: Dr. Gosbee will present the theory and method behind teaching human factors engineering to learners at University of Michigan (and other venues). FDA and the marketplace expect that medical device design process will include human factors engineering (HFE). He will share lessons learned when teaching BME students about HFE, including usability testing and IEC standards during their capstone design project.

ACGME (residency program oversight group) now requires all residency programs will teach analysis of actual safety events to all residents. Many of these safety events involve devices and software - which require application of HFE concepts, standards, or methods. He will share lessons of teaching residents about using usability testing to analyze the safety issue (e.g., ultrasound machine design) and evaluate proposed redesigns (e.g., ECG machine interface).

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Lecture / Discussion Mon, 29 Oct 2018 14:44:28 -0400 2018-11-02T12:00:00-04:00 2018-11-02T12:50:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
ECRC Cookies & Careers : Industrial & Operations Engineering (November 6, 2018 11:00am) https://events.umich.edu/event/57217 57217-14130942@events.umich.edu Event Begins: Tuesday, November 6, 2018 11:00am
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

Industrial & Operations Engineering students, stop by for a cookie and talk with an ECRC Adviser about your job search, bring your resume along for a quick review!

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Careers / Jobs Tue, 30 Oct 2018 13:08:11 -0400 2018-11-06T11:00:00-05:00 2018-11-06T13:00:00-05:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
PhD Defense Announcement: Yanxuan Mao (November 8, 2018 9:30am) https://events.umich.edu/event/56663 56663-13960624@events.umich.edu Event Begins: Thursday, November 8, 2018 9:30am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Yanxuan Mao

TITLE OF DISSERTATION: User Interface Evaluation with Machine Learning Methods

CHAIR: Yili Liu

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Lecture / Discussion Thu, 11 Oct 2018 14:30:58 -0400 2018-11-08T09:30:00-05:00 2018-11-08T11:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
International Movie Night Series: MNL 143 (November 8, 2018 7:00pm) https://events.umich.edu/event/57185 57185-14128647@events.umich.edu Event Begins: Thursday, November 8, 2018 7:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Office of Student Affairs

Let’s watch a movie together! A movie that tells a story that you have never heard…
We will watch four international movies from four different countries during the Fall term. The third movie is “MNL 143”.
3rd Movie: “MNL 143”
A snapshot of the random experiences and encounters of Ramil, a minivan driver on his final trip before leaving Manila to become one of the millions of overseas workers in the Middle East. Every day for five years, Ramil has plied the Buendia-Fairview route in hopes of encountering Mila, the woman he left behind to make his fortune abroad. Hardly the most efficient way to search for someone - especially in Manila - but we nevertheless believe Ramil is the kind of guy who would actually try. -IMDb

*This event is funded by Diversity, Equity & Inclusion and Office of Student Affairs.
**Jerusalem Garden will be served.

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Film Screening Tue, 30 Oct 2018 07:59:41 -0400 2018-11-08T19:00:00-05:00 2018-11-08T21:30:00-05:00 Industrial and Operations Engineering Building Engineering Office of Student Affairs Film Screening Industrial and Operations Engineering Building
IOE 899 and IOE 836 Seminar: Xi Jessie Yang, University of Michigan (November 14, 2018 4:00pm) https://events.umich.edu/event/56940 56940-14032736@events.umich.edu Event Begins: Wednesday, November 14, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Trust in and reliance on imperfect automation

Abstract:
The use of automation to assist human performance is growing rapidly. Ideally, with the assistance of automation, task performance of a human should increase. Unfortunately, performance gains are not always achieved, one of the reasons being the human’s inappropriate trust in and dependence on automated technologies. In this seminar, I will present several studies conducted in the Interaction and Collaboration Research Lab to examine human operators' trust in and dependence on automation.

Short bio:
X. Jessie Yang is an Assistant professor at the Industrial and Operations Engineering Department, University of Michigan. She directs the Interaction and Collaboration Research Lab (ICRL). Jessie obtained her Ph.D. in Mechanical and Aerospace Engineering (Human Factors) from Nanyang Technological University in 2014. Her research interests include human-autonomy/robot interaction, human factors in high-risk industries and user experience design.

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Lecture / Discussion Wed, 07 Nov 2018 16:24:35 -0500 2018-11-14T16:00:00-05:00 2018-11-14T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Royce Francis, George Washington University (November 28, 2018 4:00pm) https://events.umich.edu/event/57738 57738-14280607@events.umich.edu Event Begins: Wednesday, November 28, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Abstract: Lifeline infrastructure systems have always been crucial to the social, economic, and military security of societies. Because lifeline systems are critical to societal coherence and economic operations, assessing and mitigating risks to lifeline system operations is crucial. However, attention has shifted from risk assessment to resilience assessment due to the exceptionally large adaptation and mitigation needs implied by the geographic and temporal scope of natural and man-made hazards. In resilience assessment, most research efforts have focused on defining and measuring resilience quantitatively. However, could it be possible that infrastructure resilience is driven by the properties of the networks of human relationships, operating protocols, evolving objectives and information sharing processes within infrastructure systems? In response to this question, the goal of this talk is to introduce the concept of protocol-driven resilience. Protocol-driven resilience refers to the way in which these networks interact to support system- level macro-cognitive functions and produce resilient system behavior. In this talk, I describe preliminary results from ongoing research we are conducting in order to investigate how the concept of protocol-driven resilience enhances our understanding of lifeline infrastructure system resilience.

Bio: Dr. Royce Francis is an associate professor in the Department of Engineering Management and Systems Engineering. His work is at the intersection of the application of statistical methods to infrastructure and environmental risk problems, decision analytic research, and policy-focused research. Dr. Francis has conducted sponsored research in the areas of drinking water system asset management, decision structuring for low impact development investments, and resilience analysis of infrastructure systems. Dr. Francis’s research has been sponsored by the National Science Foundation (NSF), the National Institute of Standards and Technology (NIST), the DC Water Resources Research Institute [a United States Geological Survey sponsored Institute], and DC Water.

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Lecture / Discussion Mon, 26 Nov 2018 15:55:45 -0500 2018-11-28T16:00:00-05:00 2018-11-28T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
International Movie Night Series: "In a Better World" (November 29, 2018 7:00pm) https://events.umich.edu/event/57853 57853-14363802@events.umich.edu Event Begins: Thursday, November 29, 2018 7:00pm
Location: Industrial and Operations Engineering Building
Organized By: Engineering Office of Student Affairs

Let’s watch a movie together! A movie that tells a story that you have never heard…

“In a Better World”

Anton is a doctor who commutes between his home in an idyllic town in Denmark, and his work at an African refugee camp. In these two very different worlds, he and his family are faced with conflicts that lead them to difficult choices between revenge and forgiveness. Anton and his wife Marianne, who have two young sons, are separated and struggling with the possibility of divorce. Their older, ten-year-old son Elias is being bullied at school, until he is defended by Christian, a new boy who has just moved from London with his father, Claus. Christian’s mother recently lost her battle with cancer, and Christian is greatly troubled by her death. Elias and Christian quickly form a strong bond, but when Christian involves Elias in a dangerous act of revenge with potentially tragic consequences, their friendship is tested and lives are put in danger. Ultimately, it is their parents who are left to help them come to terms with the complexity of human emotions, pain and empathy. – Rotten Tomatoes

*This event is funded by Diversity, Equity & Inclusion and Office of Student Affairs.

**Dinner will be served.

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Film Screening Mon, 26 Nov 2018 09:15:19 -0500 2018-11-29T19:00:00-05:00 2018-11-29T21:00:00-05:00 Industrial and Operations Engineering Building Engineering Office of Student Affairs Film Screening Industrial and Operations Engineering Building
IOE 836 Seminar: Brian C. Grieser, PE, CPSM, CSP, CPE, Thomas Logue, and Alex Rosaen (November 30, 2018 12:00pm) https://events.umich.edu/event/57918 57918-14373152@events.umich.edu Event Begins: Friday, November 30, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Additionally, recent research regarding how local governments are addressing human factors and safety issues related to electric scooter sharing systems will be presented.

Abstract: Industrial engineers have been timing workers for decades to set work standards and measure performance. Lean manufacturing, as well as wage and hour litigation, has renewed interest in time study and work sampling. This presentation will describe examples of time study questions that have emerged as workplace issues and conditions have evolved. In light of these questions, the long-standing issue of the potential for observer effects on the validity of time study and work sampling data will be addressed. In this presentation, the speakers will share
strategies, techniques, equipment, and software that can be used to address potential observer effects.

Bio: Brian C. Grieser is a Senior Consultant and Director of Technology and Instrumentation. He holds master’s and bachelor’s degrees from the University of Michigan in Industrial and Operations Engineering and Naval Architecture & Marine Engineering, respectively. He is a licensed Professional Engineer (P.E.), a Certified Product Safety Manager (C.P.S.M.), a Certified Safety Professional (CSP), a Certified Professional Ergonomist (CPE), and a Certified XL Tribometrist (CXLT). His recent professional activities include studies on floor slip resistance measurement; human vibration and acceleration exposure measurement and analysis; time and motion; product, occupational, and premises safety assessments; accident investigation; warnings design and evaluation; and human movement, climbing, and stability analysis.

Thomas Logue is a recent University of Michigan IOE graduate working as a project analyst in the Human Factors and Product Safety Group at Applied Safety and Ergonomics. His current work includes product safety consultations and occupational time study and work sampling projects.

Alex Rosaen is a Managing Consultant at Applied Safety and Ergonomics. His professional activities include research and analysis of standards and regulations for risk communication and product and occupational safety. Mr. Rosaen is an experienced analyst, manager, and consultant, having worked in fields such as aerospace manufacturing, public policy and economic analysis, and workforce development. He holds B.S.E (Summa Cum Laude) and M.S.E. degrees in Mechanical Engineering from the University of Michigan, and a Master of Public Policy from the Gerald R. Ford School of Public Policy.

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Lecture / Discussion Tue, 27 Nov 2018 11:34:33 -0500 2018-11-30T12:00:00-05:00 2018-11-30T12:50:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE PhD Seminar Series - Lauren Steimle (November 30, 2018 12:00pm) https://events.umich.edu/event/57945 57945-14375318@events.umich.edu Event Begins: Friday, November 30, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by the end of the day on Wednesday, November 28.

Abstract:
Optimization of sequential decision-making under uncertainty is important in many contexts, including chronic diseases, but ambiguity in the underlying models introduces significant challenges. In the context of chronic disease management, Markov decision processes (MDPs) have been used to optimize the delivery of medical interventions in a way that balances the immediate harms and costs with the uncertain future health benefits associated with these interventions. Unfortunately, treatment recommendations that result from MDPs can depend heavily on the model of the chronic disease, and there are often multiple plausible models due to conflicting data sources or differing opinions among medical experts. To address this problem, we introduce a new framework in which a decision-maker can consider multiple models of the MDP’s ambiguous parameters and seeks to find a strategy that maximizes the weighted performance with respect to each of these models of the MDP. We establish connections to other models in the stochastic optimization literature, derive complexity results, and establish solution methods for solving these problems. We illustrate our approach in the context of preventative treatment for cardiovascular disease, and end with a discussion of opportunities for future work by extending to other preferences towards ambiguity and other chronic diseases.

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Presentation Wed, 28 Nov 2018 13:31:30 -0500 2018-11-30T12:00:00-05:00 2018-11-30T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Industrial and Operations Engineering Building
PhD Defense: Wenbo Sun (December 3, 2018 3:00pm) https://events.umich.edu/event/57749 57749-14280618@events.umich.edu Event Begins: Monday, December 3, 2018 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Wenbo Sun

TITLE OF DISSERTATION: Uncertainty Quantification Methodologies for Functional Data in Biomechanical Applications

CHAIR(s): Judy Jin, Matt Plumlee

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Lecture / Discussion Fri, 16 Nov 2018 14:33:16 -0500 2018-12-03T15:00:00-05:00 2018-12-03T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar: Martin Savelsbergh, Georgia Institute of Technology (December 5, 2018 4:00pm) https://events.umich.edu/event/56246 56246-13867117@events.umich.edu Event Begins: Wednesday, December 5, 2018 4:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Exploiting Decomposable Structure to Design Better Algorithms for Solving Integer Programs

Abstract
Optimization problems in which some or all of the variables are constrained to take integer values are of broad applicability in a wide range of fields, from medicine and healthcare to banking and finance to environmental management and conservation. Over recent decades, exact algorithms for their solution have become faster and more efficient, culminating in a variety of commercial software platforms and public domain codes that provide exceptional capability for solving practical problems to optimality. However, this seems to have only increased the appetite of practitioners to solve ever-larger problems, which challenge the state-of-the-art. In this talk, we bring together two apparently disparate observations: (i) many practical problems have decomposable structure and (ii) despite the enormous strides in solution algorithms, one key element common to all of them, namely, the branching rule, has remained largely untouched since it was first presented in the 1960's. Yet the branching rule defines how the search space is divided in the "divide-and-conquer" paradigm that forms the basis of all exact algorithms; it is central to the algorithm. Here, we will describe a new idea for exploiting decomposable structure in problems to derive alternative, powerful, new branching rules. These rules are demonstrated to speed up commercial solvers by orders of magnitude, on two classes of problems having different characteristics. The potential to generalize these ideas will also be discussed.

Bio
Martin Savelsbergh is a logistics and optimization specialist with over 25 years of experience in mathematical modeling, operations research, optimization methods, algorithm design, performance analysis, transport, supply chain management, and production planning. He has published over 160 research papers in many of the top operations research and optimization journals and has supervised more than 30 Ph.D. students. Martin has a track record of creating innovative techniques for solving large-scale optimization problems in a variety of areas, ranging from service network design, to last-mile and crowdsourced delivery, to ridesharing. He has demonstrated an ability to design and implement highly sophisticated and effective optimization algorithms as well as an ability to analyze practical decision problems and translate the insights obtained into optimal business solutions. Martin holds the James C. Edenfield Chair in the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Institute of Technology. He is co-director of The Supply Chain and Logistics Institute (SCL). SCL coordinates all supply chain and logistics activities on the Georgia Tech campus. Martin Savelsbergh is Editor-in-Chief of Transportation Science, one of the most prestigious academic journals in the area of transportation science and logistics. Martin Savelsbergh was a founding partner of Axioma, Inc., a privately held company delivering state-of-the-art software solutions and consulting services (www.axioma.com). As Chief Technology Officer, he was responsible for managing large-scale software development projects. Currently, Axioma focuses entirely on financial optimization applications.

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Lecture / Discussion Mon, 01 Oct 2018 11:13:52 -0400 2018-12-05T16:00:00-05:00 2018-12-05T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE PhD Seminar Series - Karmel Shehadeh (December 14, 2018 12:00pm) https://events.umich.edu/event/58324 58324-14461176@events.umich.edu Event Begins: Friday, December 14, 2018 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday, December 12.

Abstract:
Outpatient clinics (OPC) are increasingly growing as a central component of health care systems. They offer a variety of medical services and benefits such as short hospital stays, high patient safety outcomes, and low costs of care. They also introduce new challenges for appointment planning and scheduling primarily due to the heterogeneity of and variability in patients characteristic, the existence of multiple competing performance criteria, and the need to deliver care within a tight time window. Ignoring the variability in patient characteristic when designing appointment schedules may have negative consequences such as patient delays and clinic overtime. Conversely, accounting for uncertainty in the scheduling decision process has the potential to create more efficient schedules that mitigate these adverse outcomes. However, many challenges arise when attempting to model and solve appointment scheduling problems accounting for uncertainty. In this talk, we present novel stochastic mixed-integer programming and distributionally robust optimization models and frameworks to optimize appointment planning and scheduling decisions under uncertainty in the context of three outpatient scheduling problems with broader applications within and outside of healthcare. In each of these three problems, we focus on efficiently accounting for uncertainty in the scheduling decision process and proposing tractable and implementable appointment scheduling models.

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Presentation Fri, 07 Dec 2018 16:38:36 -0500 2018-12-14T12:00:00-05:00 2018-12-14T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Industrial and Operations Engineering Building
IOE Lunch & Learn Seminar Series: Abdullah Alshelahi (January 25, 2019 12:00pm) https://events.umich.edu/event/60230 60230-14849135@events.umich.edu Event Begins: Friday, January 25, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday, January 23.

Abstract:
Stock markets play a vital role in the stability of the global economy. The financial crash in 2008 is a vivid example of how the stock markets and economy are connected. The underlying structure of stock markets is complex. Complex systems tend to operate in a nonlinear fashion, generating extreme and rare events. Current research in stock markets mainly focuses on analyzing individual stocks (i.e. microscopic analysis) while ignoring the overall interactions and dynamics between them (i.e. macroscopic analysis). In this talk, I will present a new perspective on the macroscopic nature of stock markets. This perspective offers new insights into the physics of the markets. The proposed approach analyzes the markets within the context of fluid dynamics. We utilize, for the first time, concepts from physics and incorporate them in modeling the external and internal dynamics of the markets. A novel model consisting of a stochastic system of nonlinear partial differential equations is introduced. The model allows connecting and determining the evolution of macroscopic variables adaptively. In the last part of this talk, I will address several extensions and ongoing efforts in this research.

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Presentation Thu, 24 Jan 2019 16:36:02 -0500 2019-01-25T12:00:00-05:00 2019-01-25T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Industrial and Operations Engineering Building
Job Search Advice from ECRC Peer Advisors for IOE Students (February 8, 2019 11:00am) https://events.umich.edu/event/60747 60747-14961648@events.umich.edu Event Begins: Friday, February 8, 2019 11:00am
Location: Industrial and Operations Engineering Building
Organized By: Engineering Career Resource Center

IOE Students: Navigating the job search process can be difficult, especially after the engineering career fair when you are left asking the question: What happens next? The ECRC student peer advisors have been there many times, and they are coming to your department to help you with your next steps! Come by between classes and chat with a peer advisor to ask any questions you may have with the concluding of the career fair and to learn more about the many services the ECRC offers to help students succeed in their unique job search.

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Careers / Jobs Mon, 04 Feb 2019 10:51:19 -0500 2019-02-08T11:00:00-05:00 2019-02-08T13:00:00-05:00 Industrial and Operations Engineering Building Engineering Career Resource Center Careers / Jobs Industrial and Operations Engineering Building
IOE 899 Seminar Series: Jing Li, Arizona State University (February 14, 2019 3:00pm) https://events.umich.edu/event/60367 60367-14866475@events.umich.edu Event Begins: Thursday, February 14, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00pm.

Abstract:
When learning a new skill, people can transfer their knowledge about other related skills they have grasped to expedite the learning. This human ability has inspired the development of a class of statistical machine learning models called Transfer Learning (TL). TL is an excellent choice for Precision Medicine because it allows for building a robust model for each patient based on not only the data of that patient but also transferred information from other patients.

An important problem that the existing TL literature has overlooked is “negative transfer”, referred to as the situation of worse performance of a TL model than a model without transfer learning. We provide theoretical study on the risk of negative transfer, which further motivates the development of a positive TL model to prevent negative transfer. This model is applied to building patient-specific models using smartphone-generated activity data such tapping, speaking, and walking to telemonitor patients with the Parkinson’s Disease. Telemonitoring belongs to the emerging health care platform of mHealth, which utilizes wireless technologies to enable remote monitoring of patient conditions and timely medical decisions.

Additionally, this talk will briefly introduce our developments of TL models in other health care applications, including multi-modality imaging data fusion for early detection of the Alzheimer’s Disease and hierarchical modality and feature selection from neuroimaging data for subtype identification of migraine.

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Presentation Fri, 01 Feb 2019 16:36:17 -0500 2019-02-14T15:00:00-05:00 2019-02-14T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
IOE 899 Seminar Series: LLamasoft, Inc. (February 21, 2019 3:00pm) https://events.umich.edu/event/60636 60636-14934830@events.umich.edu Event Begins: Thursday, February 21, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Presenters:
Ali Taghavi, Network Optimization team manager
Jeremy Castaing, Transportation Optimization team manager

Abstract:
In this presentation, we discuss two ongoing research projects from the Applied Research team at LLamasoft. First, we look at how to integrate safety stock costs into a Network Optimization problem, and we show why previous approaches are either sub-optimal or become practically unsolvable. Second, we present a constraint-based Vehicle Routing algorithm that uses an evaluation sub-routine flexible enough to consider real-world constraints such as driver breaks, recharging of electric vehicles and dock doors. We then discuss the pros and cons of this approach compared to more traditional, MIP-based, methods.

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Presentation Wed, 27 Feb 2019 15:26:21 -0500 2019-02-21T15:00:00-05:00 2019-02-21T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
CITIC Dicastal Recruiting Event 宣讲会邀请-中信戴卡股份有限公司 (February 22, 2019 2:30am) https://events.umich.edu/event/61019 61019-15004638@events.umich.edu Event Begins: Friday, February 22, 2019 2:30am
Location: Industrial and Operations Engineering Building
Organized By: Chinese Students and Scholars Association [Archive]

致优秀的海外学子:
全球最大的铝车轮和铝制底盘零部件制造商——中信戴卡股份有限公司即将于2019年2月22日在密西根大学召开专场招聘会,诚邀您参加。

1、中信戴卡
中国中信集团公司投资组建的中国大陆第一家铝车轮制造企业,是中国第一家进入全球汽车零部件100强的企业,现有全资子公司8家,控股、参股企业15家,生产基地25个,拥有全球研发平台和多家海外制造基地。以世界领先的研发、制造水平与优质的营销服务能力赢得客户信赖。

2、招聘需求
面向2018/2019年本科、硕士、博士美国留学毕业生,专业需求如下:汽车类, 机械类, 材料类, 化学类, 工业设计类, 财务类, 语言类, 哲学类,法律类, 人力资源类, 管理类, 工业设计类。

3、宣讲会须知
2019年,中信戴卡将在美国、日本、韩国、德国、法国进行全球校园招聘,欢迎您提前填写打印并携带“附件1:求职表",参加2月22日在密西根大学安娜堡分校 IOE1610教室的专场宣讲会。
求职表打印地址:https://1drv.ms/w/s!AhpR6r4jk2VwkAasGJdwjptw566I
中信戴卡诚挚邀请您加入世界级的职业发展平台。
我们不见不散!

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Careers / Jobs Mon, 18 Feb 2019 01:08:39 -0500 2019-02-22T02:30:00-05:00 2019-02-22T06:30:00-05:00 Industrial and Operations Engineering Building Chinese Students and Scholars Association [Archive] Careers / Jobs Logo
IOE Lunch & Learn Seminar Series: Xubu Yue and Seokhyun Chung (February 22, 2019 12:00pm) https://events.umich.edu/event/61332 61332-15088052@events.umich.edu Event Begins: Friday, February 22, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday, February 20.

1st Presentation: Xubo Yue on "Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes"

Abstract:
In recent years, the multivariate Gaussian process (MGP) has drawn significant attention as an efficient non-parametric approach to predict longitudinal signal trajectories. We would like to exploit the MGP to explore the following question: can we use both time-to-event data (also known as survival data) along with predicted longitudinal signals to obtain a reliable event prediction? In this work, we present a non-parametric prognostic framework for individualized event prediction based on joint modeling of both longitudinal and time-to-event data. Our approach exploits a multivariate Gaussian convolution process (MGCP) to model the evolution of longitudinal signals and a Cox model to map time-to-event data with longitudinal data modeled through MGCP. Taking advantage of the unique structure imposed by convolved processes, we provide a variational inference framework to simultaneously estimate parameters in the joint MGCP-Cox model. This facilitates scalability to large data settings and safeguards against model overfitting. Experiments on synthetic and real-world data show that the proposed framework outperforms state-of-the-art approaches built on two-stage inference and strong parametric assumptions.

Bio:
Xubo Yue is a first-year Ph.D. student in the Industrial and Operations Engineering Department at the University of Michigan, Ann Arbor. He holds a Master’s degree in Biostatistics from the University of Michigan, and Bachelor’s degree in Biomedical Sciences and Applied Mathematics from the University of Macau. Xubo’s current research focuses on Multivariate Gaussian Processes and Bayesian optimization for reinforcement learning.


2nd Presentation: Seokhyun Chung on "Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data"

Abstract:
The advance of modern sensor technologies enables collection of multi-stream longitudinal data where multiple signals from different units are collected in real-time. In this article, we present a non-parametric approach to predict the evolution of multi-stream longitudinal data for an in-service unit through borrowing strength from other historical units. Our approach first decomposes each stream into a linear combination of eigenfunctions and their corresponding functional principal component (FPC) scores. A Gaussian process prior for the FPC scores is then established based on a functional semi-metric that measures similarities between streams of historical units and the in-service unit. Finally, an empirical Bayesian updating strategy is derived to update the established prior using real-time stream data obtained from the in-service unit. Experiments on synthetic and real-world data show that the proposed framework outperforms state-of-the-art approaches and can effectively account for heterogeneity as well as achieve high predictive accuracy.

Bio:
Seokhyun Chung is a first-year Ph.D. student in the Industrial and Operations Engineering Department at the University of Michigan, Ann Arbor. He holds Master’s and Bachelor’s degree in industrial and management engineering from the Korea University. Seokhyun’s current research interests include development of machine learning and Bayesian non-parametric models in order to analyze large-scale data collected from IoT devices in connected environments such as smart factories, wearable devices, and battery management system for electric vehicles.

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Presentation Mon, 18 Feb 2019 11:46:09 -0500 2019-02-22T12:00:00-05:00 2019-02-22T13:30:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
IOE 899 Seminar Series: Andrew Gordon Wilson, Cornell University (February 28, 2019 3:00pm) https://events.umich.edu/event/60374 60374-14866476@events.umich.edu Event Begins: Thursday, February 28, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Abstract:
In this talk, we introduce a scalable Gaussian process framework capable of learning expressive kernel functions on large datasets, implemented in our new library GPyTorch. We then develop this framework into an approach for deep kernel learning, with full predictive distributions and automatic complexity calibration. We will consider applications in crime prediction, epidemiology, counterfactuals, and autonomous vehicles. We will also present our work in understanding loss geometry in deep learning, leading to practical training methods with scalable uncertainty representation and improved generalization.

Bio:
Andrew Gordon Wilson is an Assistant Professor at Cornell University. Previously, he was a research fellow in the Machine Learning Department at CMU working with Eric Xing and Alex Smola. He completed his PhD with Zoubin Ghahramani at the University of Cambridge. Andrew's interests include probabilistic modelling, scientific computing, Gaussian processes, and deep learning. His webpage is https://people.orie.cornell.edu/andrew.

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Presentation Wed, 27 Feb 2019 15:21:38 -0500 2019-02-28T15:00:00-05:00 2019-02-28T17:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
PhD Defense: Yiling Zhang (March 1, 2019 9:00am) https://events.umich.edu/event/61586 61586-15150260@events.umich.edu Event Begins: Friday, March 1, 2019 9:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Yiling Zhang

CHAIR(s): Siqian Shen, Ruiwei Jiangl

TITLE OF DISSERTATION: Convex Nonlinear and Integer Programming Approaches for Distributionally Robust Optimization of Complex Systems

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Lecture / Discussion Mon, 25 Feb 2019 11:55:00 -0500 2019-03-01T09:00:00-05:00 2019-03-01T11:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Yiling Zhang
PhD Defense: Xiangkun Shen (March 11, 2019 2:00pm) https://events.umich.edu/event/61589 61589-15150262@events.umich.edu Event Begins: Monday, March 11, 2019 2:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Xiangkun Shen

DATE: Monday, March 11, 2019

CHAIR(s): Viswanath Nagarajan

TITLE OF DISSERTATION: Linear and Convex Programming based Algorithms for Network Design

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Lecture / Discussion Mon, 25 Feb 2019 11:54:05 -0500 2019-03-11T14:00:00-04:00 2019-03-11T16:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Xiangkun Shen
IOE 899 Seminar Series: Bruce Ankenman, Northwestern University (March 14, 2019 3:00pm) https://events.umich.edu/event/60375 60375-14866479@events.umich.edu Event Begins: Thursday, March 14, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Title: Gradient Based Criteria for Sequential Design

Abstract:
Computer simulation experiments are commonly used as an inexpensive alternative to real-world experiments to form a metamodel that approximates the input-output relationship of the real-world experiment. While a user may want to understand the entire response surface, they may also want to focus on interesting regions of the design space, such as where the gradient is large. In this paper we present an algorithm that adaptively runs a simulation experiment that focuses on finding areas of the response surface with a large gradient while also gathering an understanding of the entire surface. We consider the scenario where small batches of points can be run simultaneously, such as with multi-core processors.

Joint work with Collin B. Erickson, Matthew Plumlee, and Susan M. Sanchez

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Presentation Mon, 11 Mar 2019 15:39:32 -0400 2019-03-14T15:00:00-04:00 2019-03-14T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
PhD Defense: Victor Fuentes (March 21, 2019 11:00am) https://events.umich.edu/event/62037 62037-15276118@events.umich.edu Event Begins: Thursday, March 21, 2019 11:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Victor Fuentes

CHAIR: Jon Lee

TITLE OF DISSERTATION: On Computing Sparse Generalized Inverses
and Sparse-Inverse/Low-Rank Decompositions

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Lecture / Discussion Mon, 11 Mar 2019 15:46:50 -0400 2019-03-21T11:00:00-04:00 2019-03-21T13:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar Series: Adam Elmachtoub, Columbia University (March 21, 2019 3:00pm) https://events.umich.edu/event/60376 60376-14866481@events.umich.edu Event Begins: Thursday, March 21, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Title: Pricing Analytics for Reusable Resources

Abstract:
We consider the problem of pricing for reusable resources, which are items that can be consumed and reused afterwards such as hotel rooms, cloud computing, shared vehicles, and rotable parts. We develop a model to maximize a combination of profit rate, market share, and service level, which also captures the special dynamics of reusable resources. We prove that a static pricing policy achieves strong performance guarantees compared to a fully dynamic pricing policy. We also discuss the a large scale implementation of our pricing model at at Dassault Falcon Jet in the context of rotable spare parts.

Bio:
Adam Elmachtoub is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University, where he is also a member of the Data Science Institute. In 2014-2015, he spent one year at the IBM T.J. Watson Research Center working in the area of Smarter Commerce. He previously received his B.S. degree from Cornell ORIE in 2009, and his Ph.D. from MIT ORC in 2014. In 2016, he received an IBM Faculty Award and was named Forbes 30 under 30 in science. http://www.columbia.edu/~ae2516/

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Presentation Thu, 21 Mar 2019 14:43:25 -0400 2019-03-21T15:00:00-04:00 2019-03-21T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
IOE Lunch & Learn Seminar Series: Marcia Fampa (March 22, 2019 12:00pm) https://events.umich.edu/event/61913 61913-15239137@events.umich.edu Event Begins: Friday, March 22, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday, March 18.

Title: The challenging Euclidean Steiner Tree Problem

Abstract:
The Euclidean Steiner Tree Problem (ESTP) asks for a network of minimum length interconnecting a given set of points in n-dimensional space. We present well known geometric properties of the optimal solution of the ESTP and discuss their application in the development of solution methods. We focus on mixed integer nonlinear programming (MINLP) formulations and branch-and-bound algorithms, identifying characteristics of the problem that make it a big challenge in optimization, particularly when n is greater than 2. Finally, we investigate what can still be done to improve our ability to solve this problem in the broader context of MINLP.

Bio:
Marcia Fampa is a Full Professor at the Federal University of Rio de Janeiro (UFRJ), where she has been since 1997. She is at the Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (COPPE), at UFRJ, where she has supervised more than 25 PhD and master students. Marcia did her undergraduate studies at the Pontifical Catholic University of Rio de Janeiro (PUC/RJ), receiving an engineering degree in 1987. She received her PhD Degree in Systems and Computer Engineering from the Federal University of Rio de Janeiro in 1996. Marcia has published a book on linear optimization, and over 50 papers in scientific journals and conferences. Her main research interest is Mixed Integer Nonlinear Programming (MINLP), with focus on the development of convex relaxations for MINLP problems.

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Presentation Fri, 15 Mar 2019 15:54:10 -0400 2019-03-22T12:00:00-04:00 2019-03-22T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
PhD Defense: Hao Yuan (March 28, 2019 1:00pm) https://events.umich.edu/event/62038 62038-15276119@events.umich.edu Event Begins: Thursday, March 28, 2019 1:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Hao Yuan

CHAIR: Cong Shi

TITLE OF DISSERTATION: Data Driven Optimization:
Theory and Applications in Supply Chain Systems

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Lecture / Discussion Mon, 11 Mar 2019 15:46:26 -0400 2019-03-28T13:00:00-04:00 2019-03-28T15:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE 899 Seminar Series: Ruiwei Jiang, University of Michigan (March 28, 2019 3:00pm) https://events.umich.edu/event/60885 60885-14981948@events.umich.edu Event Begins: Thursday, March 28, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Title: Distributionally Robust Co-Optimization of Power Dispatch and Do-Not-Exceed Limits

Abstract:
To address the challenge of the renewable energy uncertainty, the ISO New England (ISO-NE) has proposed to apply do-not-exceed (DNE) limits, which represent the maximum nodal injection of renewable energy the grid can accommodate. Unfortunately, it appears challenging to compute DNE limits that simultaneously maintain the system flexibility and incorporate a large portion of the available renewable energy at the minimum cost. In addition, it is often challenging to accurately estimate the joint probability distribution of the renewable energy. In this paper, we propose a two-stage distributionally robust optimization model that co-optimizes the power dispatch and the DNE limits, by adopting an affinely adjustable power re-dispatch and an adjustable joint chance constraint that measures the renewable utilization. Notably, this model admits a second-order conic reformulation that can be efficiently solved by the commercial solvers (e.g., MOSEK). We conduct case studies based on large-size test instances to demonstrate the effectiveness of the proposed approach and analyze the trade-off among the system flexibility, the renewable utilization, and the dispatch cost.

Bio:
Biosketch: Ruiwei Jiang is an Assistant Professor of Industrial & Operations Engineering in the University of Michigan. He conducts research on the theory of stochastic and robust optimization, integer programming, and their applications on power systems and healthcare operations. The recognition of his research includes an NSF Career Award and an INFORMS Junior Faculty Interest Group paper award (honorable mention).

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Presentation Wed, 27 Mar 2019 13:46:11 -0400 2019-03-28T15:00:00-04:00 2019-03-28T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Photo of Ruiwei Jiang
IOE 899 Seminar Series: He Wang, Georgia Tech (April 4, 2019 3:00pm) https://events.umich.edu/event/62227 62227-15335271@events.umich.edu Event Begins: Thursday, April 4, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Title: A Re-solving Heuristic with Uniformly Bounded Loss for Network Revenue Management

Abstract:
We consider the classical Network Revenue Management problem, where a firm has limited resources and needs to irrevocably accept or reject customer requests in order to maximize expected revenue. We study a class of “re-solving heuristics” for this problem. These heuristics periodically re-optimize an approximation of the problem known as the deterministic linear program (DLP), where random customer arrivals are replaced by their expectations. We find that, in general, frequently re-solving the DLP produces the same order of revenue loss as one would get without re solving, which scales as the square root of the problem size. However, by re-solving the DLP at a few selected points in time, we design a new re-solving heuristic, whose revenue loss is bounded by a constant that is independent of the problem size.

(Joint work with PhD student Pornpawee Bumpensanti. Paper is available at: https://arxiv.org/abs/1802.06192)

Bio:
He Wang is an Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech. His research interest is in revenue management, supply chain and logistics, and statistical learning. His recent research focuses on developing data-driven methods for the interface between machine learning and operations management. He received his Ph.D. in Operations Research and M.S. in Transportation at MIT, and his B.S. in Industrial Engineering and Math from Tsinghua University. His works have been awarded for Amazon Research Award (2018), INFORMS JFIG paper competition (1st place), IBM service science best student paper award (finalist), and CSAMSE best paper award (2nd place).

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Presentation Mon, 01 Apr 2019 15:27:14 -0400 2019-04-04T15:00:00-04:00 2019-04-04T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Photo of He Wang
Agents of Change for Resilient Infrastructure (April 4, 2019 4:30pm) https://events.umich.edu/event/61712 61712-15176756@events.umich.edu Event Begins: Thursday, April 4, 2019 4:30pm
Location: Industrial and Operations Engineering Building
Organized By: Civil and Environmental Engineering

The effects of Hurricane Sandy on New York City and subsequent programs to improve the City’s infrastructure are described in this lecture. Special attention is focused on the restoration of the L Line Tunnel, which was flooded by Hurricane Sandy. Professor O’Rourke will describe how a team from Cornell and Columbia Universities was assembled at the request of Governor Andrew Cuomo to help reengineer a $1/2 billion project to rehabilitate the subway tunnel, and still keep the subway in service. The new approach integrates several advanced technologies, including distributed fiber optics and LiDAR, and makes a breakthrough in infrastructure restoration resulting from interdisciplinary work between civil and electrical engineers. The agents of change that lead to improved policies and approaches are explored, including the technical, institutional, and social challenges of introducing new technologies and engaging community support.

Thomas O' Rourke is a professor of the Engineering Department at Cornell University.

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Workshop / Seminar Wed, 27 Mar 2019 10:42:43 -0400 2019-04-04T16:30:00-04:00 2019-04-04T17:30:00-04:00 Industrial and Operations Engineering Building Civil and Environmental Engineering Workshop / Seminar 2019 Frank E. Richart, Jr. Distinguished Lecture
IOE Lunch & Learn Seminar Series: Academic Job Hunting Panel (April 5, 2019 12:00pm) https://events.umich.edu/event/62693 62693-15425440@events.umich.edu Event Begins: Friday, April 5, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday (4/3).

U-M IOE's Ece Sanci, Lauren Steimle, and Yiling Zhang together with Emma Treadway from the Department of Mechanical Engineering will share their experiences of academic job preparation and the interview process.

The panelists have received offers from top universities in the U.S. and Europe.

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Presentation Wed, 03 Apr 2019 10:08:21 -0400 2019-04-05T12:00:00-04:00 2019-04-05T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Lunch and learn title text and graphic with U-M Industrial & Operations Engineering wordmark
IOE Lunch & Learn Seminar Series: Betty P. Chao, President and CEO of Westech International, Inc. (April 11, 2019 12:00pm) https://events.umich.edu/event/62778 62778-15460247@events.umich.edu Event Begins: Thursday, April 11, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE graduate students, faculty and staff. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Tuesday (4/9). Space is limited to 35 participants.

It is an honor to welcome IOE Alumnus, Dr. Betty P. Chao back to campus to visit and engage with
IOE students and faculty. Please plan to attend this very special engagement opportunity here in IOE!

Title: An Engineer’s Life Journey: Be Bold, Curious, and Fierce

Bio:
Dr. Betty P. Chao, Ph.D. (BSE IOE ’78; MSE IOE ’79; Ph.D. – VA Tech) Founded Westech International, Inc. and serves as its Chief Executive Officer and President. WESTECH was organized by Dr. Betty Chao for the express purpose of providing quality services to Federal agencies and commercial enterprises. Westech International Inc. (WESTECH) is a woman-owned small business headquartered in Albuquerque, New Mexico. Since being established in 1995, WESTECH has grown from one full-time employee to approximately 900 employees at its height. The current staff of 150 employees performs on various Department of Energy (DOE), and Department of Defense (DoD) contracts at 15 locations in 11 states. WESTECH is also a member of Joint Ventures (JV) with 80 employees.

Dr. Chao has been recognized in the following ways: DOC National Minority Female Entrepreneur of the Year in 2001, SBA Region VI Minority Small Business Person of the Year in 2002, New Mexico Commission on the Status of Women Trailblazer Award in 2002 and Minority Business and Professionals Network Fifty Influential Minorities in Business in 2004. Dr. Chao previously served on the College's Leadership Advisory Board, and won the IOE Alumni Recipient award in 2014.

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Presentation Mon, 08 Apr 2019 09:34:04 -0400 2019-04-11T12:00:00-04:00 2019-04-11T13:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Photo of Betty Chao with U-M Industrial & Operations Engineering wordmark
IOE 899 Seminar Series: Jenna Wiens, University of Michigan (April 11, 2019 3:00pm) https://events.umich.edu/event/60378 60378-14866483@events.umich.edu Event Begins: Thursday, April 11, 2019 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

The IOE 899 Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

The seminar will be followed by a reception in the IOE Commons (Room 1709) from 4:00 pm-5:00 pm.

Title:
White Coat, Black Box: Augmenting Clinical Care with AI in the Era of Deep Learning

Abstract:
Though the potential impact of machine learning in healthcare warrants genuine enthusiasm, the increasing computerization of the field is still often seen as a negative rather than a positive. The limited adoption of machine learning in healthcare to date points to the fact that there remain important challenges. In this talk, I will highlight two key challenges related to applying machine learning in healthcare: i) interpretability and ii) small sample size. First, machine learning has often been criticized for producing ‘black boxes.’ In this talk, I will argue that interpretability is neither necessary nor sufficient, demonstrating that even interpretable models can lack common sense. To address this issue, we propose a novel regularization method that enables the incorporation of domain knowledge during model training, leading to increased robustness. Second, machine learning techniques benefit from large amounts of data. However, oftentimes in healthcare we find ourselves in data poor settings (i.e., small sample sizes). I will show how domain knowledge can help guide architecture choices and efficiently make use of available data. In summary, there’s a critical need for machine learning in healthcare; however, the safe and meaningful adoption of these techniques requires close collaboration in interdisciplinary teams.

Bio:
Jenna Wiens is a Morris Wellman Assistant Professor of Computer Science and Engineering (CSE) at the University of Michigan in Ann Arbor. Her primary research interests lie at the intersection of machine learning, data mining, and healthcare. Dr. Wiens received her PhD from MIT in 2014, was named Forbes 30 under 30 in Science and Healthcare in 2015, received an NSF CAREER Award in 2016, and was recently named to the MIT Tech Review's list of Innovators Under 35.

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Presentation Mon, 08 Apr 2019 14:47:13 -0400 2019-04-11T15:00:00-04:00 2019-04-11T17:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation U-M Industrial & Operations Engineering wordmark
IOE Lunch & Learn Seminar Series: Srijan Sen and Amy Bohnert, U-M Department of Psychiatry (April 19, 2019 12:00pm) https://events.umich.edu/event/63080 63080-15553746@events.umich.edu Event Begins: Friday, April 19, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Thursday (4/18).

Title:
Precision Mental Health Care through Mobile Technology

Problem Statement:
Problem Statement: Depression, sleep, addiction, anxiety, and suicide are leading, and growing, causes of disability, productivity loss, and premature mortality globally. The number of behavioral health clinicians available to provide traditional face-to-face care is woefully inadequate to meet the growing need. Further, a substantial proportion of patients treated under current healthcare systems do not get better. With evidence to meaningfully guide treatment decisions and objective measures of mental health both lacking, the choice of treatment is often based on clinician preference and simple heuristics.

More than any other recent advance, mobile technology has the potential to address the dual problems of limited clinical capacity and inadequate and untimely data. Mobile technology holds the potential to both track and intervene on mental health symptoms in powerful ways that had not previously been possible. However, little is known about how to derive the greatest value from this technology by targeting patients most likely to benefit and by providing clinicians with the most useful information gleaned from the intensive data collection processes.

Bios:
Amy S.B. Bohnert, Ph.D., M.H.S. is a mental health services researcher with training in public health who focuses her research on epidemiology and brief interventions regarding substance use and related disorders. Within a team of collaborators at the University of Michigan and the Department of Veterans Affairs, she has led a number of projects related to overdose and prescription drug safety.

Srijan Sen, M.D., Ph.D. is the Associate Chair for Research and Research Faculty Development and Frances and Kenneth Eisenberg Professor of Depression and Neurosciences. Dr. Sen’s research focuses on the interactions between genes and the environment and their effect on stress, anxiety, and depression. He also has a particular interest in medical education, and leads a large multi-institution study that uses medical internship as a model of stress.

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Presentation Fri, 12 Apr 2019 15:08:45 -0400 2019-04-19T12:00:00-04:00 2019-04-19T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Lunch and learn title text and graphic with U-M Industrial & Operations Engineering wordmark
How to Design & Deliver a Scientific Talk (April 19, 2019 2:00pm) https://events.umich.edu/event/63028 63028-15536923@events.umich.edu Event Begins: Friday, April 19, 2019 2:00pm
Location: Industrial and Operations Engineering Building
Organized By: Biomedical Engineering

You have worked hard on your research, but do you now have the right skills to present your work?
Please join Sam Osheroff (Music, Theatre & Dance) and David Sept (BME) for a workshop on the best practices for giving a presentation. They will cover aspects of slide design (content, formatting) as well as the technical tools for effective communication (articulation, cadence, vocal variety). This seminar is open to all BME members.
Please register at: bit.ly/GiveATalk

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Workshop / Seminar Wed, 10 Apr 2019 13:19:28 -0400 2019-04-19T14:00:00-04:00 2019-04-19T15:30:00-04:00 Industrial and Operations Engineering Building Biomedical Engineering Workshop / Seminar Biomedical Engineering
PhD Defense: Justin Haney (April 26, 2019 9:00am) https://events.umich.edu/event/62633 62633-15414529@events.umich.edu Event Begins: Friday, April 26, 2019 9:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Justin Haney

TITLE OF DISSERTATION: Modeling Hand Movements in a Sequential Reach Task with Continuous Material

CHAIR(s): Clive D'Souza

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Lecture / Discussion Wed, 27 Mar 2019 11:04:00 -0400 2019-04-26T09:00:00-04:00 2019-04-26T11:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
PhD Defense: Ece Sanci (April 30, 2019 10:00am) https://events.umich.edu/event/62592 62592-15407993@events.umich.edu Event Begins: Tuesday, April 30, 2019 10:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Ece Sanci

TITLE OF DISSERTATION: Strategies for Disaster Preparedness and Disruption Risk Mitigation

CHAIR(s): Mark Daskin

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Lecture / Discussion Wed, 27 Mar 2019 11:04:21 -0400 2019-04-30T10:00:00-04:00 2019-04-30T12:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
Ph.D. Defense: Riley Doherty (April 30, 2019 1:00pm) https://events.umich.edu/event/63350 63350-15653092@events.umich.edu Event Begins: Tuesday, April 30, 2019 1:00pm
Location: Industrial and Operations Engineering Building
Organized By: Biomedical Engineering

Human skin plays vital roles in both the sensory system and thermoregulation, and also provides an important line of defense for the body from the external environment. However, experimental methods that enable in vivo characterization of this multi-layered organ are currently lacking. Soft tissue artificial phantoms can be used to diagnose certain skin diseases or to validate the efficacy of medical procedures. This study proposes a non-invasive method to obtain three-dimensional displacement measurements of soft tissue using suction and digital image correlation. We developed a measurement device capable of applying suction loading while capturing images of the full-field deformation of the area of interest. Soft tissue phantoms were fabricated, and a temporary speckle pattern was applied to each surface to provide unique features required for image correlation. A soft tissue phantom with less stiff inclusions of various diameters and a 3D printed ellipsoid was prepared. Analysis was performed using an open-source software, DICe, and both peak displacement and pressure were further parameterized for comparison metrics. The stiffness of each material was validated by comparison to each other and a hard surface. The softer inclusions were not detected, however, the material with inclusions behaved differently than the control, indicating an overall change in material properties. Preliminary results support the use of the parameterizations as comparison metrics and demonstrate the successful application of 3D-DIC to measure deformation of a surface under suction loading. The device can be modified in the future to enable measurement of surfaces with larger contours or smaller regions of interest. The compact design of the instrument permits data collection in a range of environmental conditions outside of the lab, facilitating experiments that are currently not possible.

Chair: Deanna Gates

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Presentation Wed, 24 Apr 2019 12:46:53 -0400 2019-04-30T13:00:00-04:00 2019-04-30T14:00:00-04:00 Industrial and Operations Engineering Building Biomedical Engineering Presentation Biomedical Engineering
PhD Defense: Ke Liu (May 1, 2019 1:00pm) https://events.umich.edu/event/62636 62636-15414532@events.umich.edu Event Begins: Wednesday, May 1, 2019 1:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Ke Liu

TITLE OF DISSERTATION: Measuring and quantifying driver workload on limited access roads

CHAIR(s): Paul Green, Yili Liu

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Lecture / Discussion Wed, 27 Mar 2019 11:03:14 -0400 2019-05-01T13:00:00-04:00 2019-05-01T15:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
PhD Defense: Sol Lim (May 2, 2019 8:00am) https://events.umich.edu/event/62635 62635-15414530@events.umich.edu Event Begins: Thursday, May 2, 2019 8:00am
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

CANDIDATE: Sol Lim

TITLE OF DISSERTATION: Combining Inertial Sensing and Predictive Modeling for Ergonomic Exposure Assessment in Non-Repetitive Work

CHAIR(s): Clive D'Souza

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Lecture / Discussion Wed, 27 Mar 2019 11:03:37 -0400 2019-05-02T08:00:00-04:00 2019-05-02T10:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Lecture / Discussion Industrial and Operations Engineering Building
IOE Lunch & Learn Seminar Series: Brian Denton, Diana Perpich and Paul Grochowski, University of Michigan (May 17, 2019 12:00pm) https://events.umich.edu/event/63082 63082-15553747@events.umich.edu Event Begins: Friday, May 17, 2019 12:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

This event is open to all IOE graduate students and faculty. Lunch will be provided. In order to get an accurate count for food, please RSVP by noon on Wednesday (5/15).

Title: Plagiarism and iThenticate plagiarism detection software

Abstract:
Plagiarism is a serious issue that all authors needs to be aware of, whether it’s posters, journal articles, conference proceedings, or proposals. This presentation will help you understand what plagiarism is, the professional consequences that come with it, and how it can happen unintentionally (e.g. “self plagiarism”).

The university has licensed software called iThenticate that can help you screen your writing for unintended plagiarism. Librarians, Diana Perpich and Paul Grochowski, will show you how to access it and how to use it to protect yourself by screening your writing prior to submission.

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Presentation Tue, 16 Apr 2019 15:46:50 -0400 2019-05-17T12:00:00-04:00 2019-05-17T13:30:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Presentation Lunch and learn title text and graphic with U-M Industrial & Operations Engineering wordmark
Using the Three Dimensional Static Strength Prediction Program™ (May 22, 2019 8:00am) https://events.umich.edu/event/60945 60945-14990937@events.umich.edu Event Begins: Wednesday, May 22, 2019 8:00am
Location: Industrial and Operations Engineering Building
Organized By: Center for Ergonomics

Manual materials handling activities present significant ergonomic challenges for workers and is associated with many musculoskeletal disorders such as strains, sprains and low back pain. The 3D Static Strength Prediction Program™ (3D SSPP™) is an ergonomics job analysis and design tool developed by the University of Michigan Center for Ergonomics to quantify biomechanical requirements during manual materials handling tasks. This 2 day workshop is devoted to training individuals with an ergonomics background how to use the computer software and interpret its output.

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Class / Instruction Thu, 07 Feb 2019 16:08:15 -0500 2019-05-22T08:00:00-04:00 2019-05-22T16:30:00-04:00 Industrial and Operations Engineering Building Center for Ergonomics Class / Instruction IOE C4E Logo
Using the Three Dimensional Static Strength Prediction Program™ (May 23, 2019 8:00am) https://events.umich.edu/event/60945 60945-14990940@events.umich.edu Event Begins: Thursday, May 23, 2019 8:00am
Location: Industrial and Operations Engineering Building
Organized By: Center for Ergonomics

Manual materials handling activities present significant ergonomic challenges for workers and is associated with many musculoskeletal disorders such as strains, sprains and low back pain. The 3D Static Strength Prediction Program™ (3D SSPP™) is an ergonomics job analysis and design tool developed by the University of Michigan Center for Ergonomics to quantify biomechanical requirements during manual materials handling tasks. This 2 day workshop is devoted to training individuals with an ergonomics background how to use the computer software and interpret its output.

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Class / Instruction Thu, 07 Feb 2019 16:08:15 -0500 2019-05-23T08:00:00-04:00 2019-05-23T16:30:00-04:00 Industrial and Operations Engineering Building Center for Ergonomics Class / Instruction IOE C4E Logo