Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. The ARPA-E GO competition: The good, the bad and the ugly (March 24, 2022 3:00pm) https://events.umich.edu/event/92760 92760-21695327@events.umich.edu Event Begins: Thursday, March 24, 2022 3:00pm
Location: Off Campus Location
Organized By: U-M Industrial & Operations Engineering

Seminar Abstract:
The Advanced Research Projects Agency-Energy (ARPA-E) recently organized the "Grid Optimization" Competition, offering a total of $2.4M in prizes.

ARPA-E's goal is to "accelerate the development of transformational and disruptive methods for solving the most pressing power system problems" in a market where revenues reach close to $400B yearly.

In this talk, we will go over the computational challenges underlying these optimization problems and present the solution approach adopted by the team that ranked first across all divisions.

Presenter Bio:
Hassan Lionel Hijazi received a Ph.D. in Computer Science from Aix-Marseille University while working at Orange Labs - France Telecom R&D.
During his early career, Hassan was part of the Computer Science Laboratory of the Ecole Polytechnique in France and a senior lecturer at the Australian National University. Hassan is currently a staff scientist at Los Alamos National Laboratory. His main field of expertise is mixed-integer nonlinear optimization with applications in energy systems. Hassan was the laureate of the 2015 Rising Star Award by the Australian Society for Operations Research. In 2021, Hassan was the winner of the ARPA-E Grid Optimization Competition Challenge 2, ranking 1st across all divisions. Hassan continues to work on gravity, a modeling language for mathematical optimization.

This presentation is part of our IOE Departmental Seminar (899) Series.
The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend.

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Presentation Fri, 04 Mar 2022 13:15:49 -0500 2022-03-24T15:00:00-04:00 2022-03-24T16:00:00-04:00 Off Campus Location U-M Industrial & Operations Engineering Presentation Hassan Hijazi
899 Seminar Series: Karmel S. Shehadeh, Lehigh University (March 31, 2022 3:00pm) https://events.umich.edu/event/93814 93814-21708495@events.umich.edu Event Begins: Thursday, March 31, 2022 3:00pm
Location: Off Campus Location
Organized By: U-M Industrial & Operations Engineering

In this talk, we present two distributionally robust optimization (DRO) models for a mobile facility (MF) fleet sizing, routing, and scheduling problem (MFRSP) with time-dependent and random demand, as well as methodologies for solving these models. Specifically, given a set of MFs, a planning horizon, and a service region, our models aim to find the number of MFs to use (i.e., fleet size) within the planning horizon and a route and time schedule for each MF in the fleet. The objective is to minimize the fixed cost of establishing the MF fleet plus a risk measure (expectation or mean conditional value-at-risk) of the random operational costs over all demand distributions defined by an ambiguity set. In the first model, we use an ambiguity set based on the demand’s mean, support, and mean absolute deviation. In the second model, we use an ambiguity set that incorporates all distributions within a 1-Wasserstein distance from a reference (empirical) distribution. To solve these DRO models, we propose a decomposition-based algorithm. In addition, we derive valid lower bound inequalities that efficiently strengthen the master problem in the decomposition algorithm, thus improving convergence. We also derive two families of symmetry-breaking constraints that improve the solvability of the proposed models. Finally, we present extensive computational experiments comparing the operational and computational performance of the proposed models and a stochastic programming model, demonstrating where significant performance improvements could be gained and derive insights into the MFRSP.

Presenter Bio:
Dr. Karmel S. Shehadeh is an Assistant Professor of Industrial Systems and Engineering (ISE) at Lehigh University. She currently serves as one of the directors of the Operations Research Division at the Institute of Industrial and Systems Engineers. Before joining Lehigh, she was a Presidential and Dean Postdoctoral Fellow at Heinz College of Information Systems and Public Policy at Carnegie Mellon University. She holds a doctoral degree in Industrial and Operations Engineering from the University of Michigan, a master's degree in Systems Science and Industrial Engineering from Binghamton University, and a bachelor's in Biomedical Engineering from Jordan University of Science and Technology.

Shehadeh’s broad methodological research expertise and interests include integer programming, stochastic optimization, and scheduling theory and algorithms development. Her primary application areas and expertise are in healthcare operations and analytics. Her research group is currently working on solving emerging and challenging real-world optimization problems within and outside healthcare operations. These include healthcare scheduling and capacity planning, home care, hospital readmission, facility location, and disaster response operations.

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Workshop / Seminar Tue, 22 Mar 2022 09:06:54 -0400 2022-03-31T15:00:00-04:00 2022-03-31T16:00:00-04:00 Off Campus Location U-M Industrial & Operations Engineering Workshop / Seminar Karmel: 899 Seminar Series
Low Back Disorder Causality? (April 7, 2022 3:00pm) https://events.umich.edu/event/92931 92931-21698084@events.umich.edu Event Begins: Thursday, April 7, 2022 3:00pm
Location: Off Campus Location
Organized By: U-M Industrial & Operations Engineering

Seminar Abstract:
Low back disorders (LBDs) are a common world-wide problem that leads to disability, pain and excessive medical costs. While one can find volumes of information relating to the casual pathways associated with LBDs, our rates of LBDs have been increasing over the decades and the treatment costs have increased by over 300 percent in recent years. This situation begs the question: What do we really know about LBD causality? This presentation will review the efforts that have been underway at the Spine Research Institute over the past several decades to unravel the casual pathway puzzle. These efforts involve observational field studies, biomechanical laboratory studies, modeling and more recent attempts to phenotype patients using patient-centered studies. These efforts will be presented as a pattern of evidence to better appreciate the casual pathways associated with LBD that can be used to inform prevention as well as treatment efforts.

Presenter Bio:
William S. Marras, Ph.D.

William S. Marras holds the Honda Chair in Integrated Systems Engineering at the Ohio State University and serves as the Director of the Spine Research Institute at the Ohio State University where he leads NIH, NSF, DoD and privately funded research efforts. Dr. Marras holds joint academic appointments in the Department of Orthopaedic Surgery, the Department of Neurosurgery, and the Department of Physical Medicine & Rehabilitation. His research is focused on understanding multidimensional causal pathways for spine disorders through quantitative epidemiologic evaluations, laboratory biomechanical studies, personalized mathematical modeling, and clinical studies of the lumbar and cervical spines. His findings have been published in over 300 peer-reviewed journal articles, hundreds of refereed proceedings, and numerous books and book chapters including a book entitled The Working Back: A Systems View. Professor Marras has been active in the National Research Council (NRC) having served on over a dozen boards and committees and has served as Chair of the Board on Human Systems Integration for multiple terms. He has also served as Editor-in-Chief of Human Factors and is currently Deputy Editor of Spine. Dr. Marras holds Fellow status in six professional societies and is an elected member of the National Academy of Engineering (the National Academy of Science, Engineering and Medicine), recorded a TEDx talk entitled “Back Pain and your Brain” and has been featured on NPR’s All Things Considered.

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Presentation Fri, 04 Mar 2022 13:32:49 -0500 2022-04-07T15:00:00-04:00 2022-04-07T16:00:00-04:00 Off Campus Location U-M Industrial & Operations Engineering Presentation William Marras
Departmental Seminar (899): Frank Curtis (September 22, 2022 3:00pm) https://events.umich.edu/event/96923 96923-21793572@events.umich.edu Event Begins: Thursday, September 22, 2022 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Speaker: Frank Curtis, Professor at Lehigh University

Title: "Deterministically Constrained Stochastic Optimization"

Abstract: Curtis will present the recent work by his research group on the design, analysis, and implementation of algorithms for solving continuous nonlinear optimization problems that involve a stochastic objective function and deterministic constraints. The talk will focus on sequential quadratic optimization (commonly known as SQP) methods for cases when the constraints are defined by nonlinear systems of equations and inequalities. These methods are applicable for solving various types of problems, such as for training machine learning (e.g., deep learning) models with constraints. His work focuses on the "fully stochastic" regime in which only stochastic gradient estimates are employed, for which we have derived convergence-in-expectation results and worst-case iteration complexity bounds that are on par with stochastic gradient methods for the unconstrained setting. Curtis will also discuss the various extensions that his group is exploring.

Bio: Frank E. Curtis is a Professor in the Department of Industrial and Systems Engineering at Lehigh University. Prior to joining Lehigh, he received his bachelor's degree from the College of William and Mary, received his master's and doctoral degrees from the Department of Industrial Engineering and Management Science at Northwestern University, and worked as a Postdoctoral Researcher in the Courant Institute of Mathematical Sciences at New York University. His research focuses on the design, analysis, and implementation of numerical methods for solving large-scale nonlinear optimization problems. He received an Early Career Award from the Advanced Scientific Computing Research program of the U.S. Department of Energy, and has had other funded projects with the U.S. National Science Foundation, Office of Naval Research, and Advanced Research Projects Agency - Energy. He received, along with Leon Bottou (Facebook AI Research) and Jorge Nocedal (Northwestern), the 2021 SIAM/MOS Lagrange Prize in Continuous Optimization. He was awarded, with James V. Burke (U. of Washington), Adrian Lewis (Cornell), and Michael Overton (NYU), the 2018 INFORMS Computing Society Prize. He and team members Daniel Molzahn (Georgia Tech), Andreas Waechter (Northwestern), Ermin Wei (Northwestern), and Elizabeth Wong (UC San Diego) were awarded second place in the ARPA-E Grid Optimization Competition in 2020. He currently serves as an Associate Editor for Mathematical Programming, SIAM Journal on Optimization, Mathematics of Operations Research, IMA Journal of Numerical Analysis, and Mathematical Programming Computation. He previously served as the Vice Chair for Nonlinear Programming for the INFORMS Optimization Society and is currently very active in professional societies and groups related to mathematical optimization, including INFORMS, the Mathematics Optimization Society, and the SIAM Activity Group on Optimization.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend. There will be a reception to follow the seminar in the IOE commons from 4 -5 p.m

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Workshop / Seminar Mon, 19 Sep 2022 11:55:34 -0400 2022-09-22T15:00:00-04:00 2022-09-22T16:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Hacker binary attack code. Made with Canon 5d Mark III and analog vintage lens, Leica APO Macro Elmarit-R 2.8 100mm (Year: 1993)
Departmental Seminar (899): Xiuli Chao (September 29, 2022 3:00pm) https://events.umich.edu/event/97208 97208-21794136@events.umich.edu Event Begins: Thursday, September 29, 2022 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Speaker: Xiuli Chao, Ralph. L. Disney Professor and Master's Program Director at the University of Michigan Industrial and Operations Engineering

Title: Academia versus industry: A personal experience

Abstract: In this INFORMS Student Chapter sponsored seminar, I will share with our U-M IOE graduate students my last two years of working experience in industry and compare that with my many years of experience working in academia. I will discuss pros and cons of each of them, and address the question of what is best for you. I will also discuss some of the industry projects I worked on together with the IOE techniques needed for them. I hope this seminar will help our graduating students plan their future careers. The talk will include a Q&A so please bring your questions.

Bio: Xiuli Chao is the Ralph L. Disney Collegiate Professor of Industrial and Operations Engineering at Michigan, and from 2020-2002 he was on leave from Michigan working full time in the SCOT (Supply Chain Optimization Technology) team of Amazon. His research interests include queueing, scheduling, financial engineering, inventory control, supply chain management, and online learning and optimization. Dr. Chao is the co-developer of Lekin Scheduling System. He is the co-author of two books, “Operations Scheduling with Applications in Manufacturing and Services” (Irwin/McGraw-Hill, 1998), and “Queueing Networks: Customers, Signals, and Product Form Solutions” (John Wiley & Sons, 1999). Chao received the 1998 Erlang Prize from the Applied Probability Society of Institute for Operations Research and Management Sciences (INFORMS), and the 2005 David Baker Distinguished Research Award from the Institute of Industrial and Systems Engineers (IISE). He has consulted for many companies on logistics, supply chains, and inventory management. Chao is a fellow of both IISE and INFORMS. He serves on the editorial boards of many professional journals, including as associate editor for Operations Research and Management Science, and Area Editor (of Inventory and Supply Chain Optimization area) for Operations Research Letters.

There will be a reception to follow the seminars in the IOE commons from 4 -5 p.m

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Workshop / Seminar Mon, 19 Sep 2022 11:56:39 -0400 2022-09-29T15:00:00-04:00 2022-09-29T16:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Xiuli Chao
899 Seminar Series: Myrtede Alfred, Assistant Professor at U Toronto (October 6, 2022 3:00pm) https://events.umich.edu/event/98216 98216-21795736@events.umich.edu Event Begins: Thursday, October 6, 2022 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Title: Investigating Racial/Ethnic Disparities in Maternal Health Outcomes at the Health System Level

Pregnancy-related deaths and severe maternal morbidity (SMM) are increasing in the United States, with racial/ethnic disparities in outcomes for women of color persisting for decades. Both poor overall maternal health outcomes and disparities are attributable to a broad range of socioeconomic factors as well as differences in the quality of care provided by individual health systems. An estimated sixty percent of all pregnancy-related deaths and SMM cases are considered preventable with timely and appropriate care. Limited understanding of the underlying mechanisms that result in poorer quality of care for women of color represent a major impediment to advancing equity in maternal care. In addition to implicit bias, prior research suggests inequities can be designed into healthcare through the use of biased clinical decision support algorithms, discriminatory processes and policies, and integration of unreliable biomedical technology. As these factors can directly lead to disparate outcomes in maternal care and other clinical areas, health systems must take an active role improving equity in care. However, characterizing and alleviating inequities in clinical care is difficult due to the lack of a well-defined conceptual model to facilitate investigation, limited or lack of accessible race/ethnicity data, and insensitive equity measures. Using maternal health disparities as the paradigm, my research applies sociotechnical systems analysis approaches to uncover embedded inequities in clinical systems, and analyze and monitor disparities in outcomes. My research also uses human-centered and participatory design approaches to support the redesign of clinical systems for equitable care. This work exemplifies the type of multilevel effort needed to eliminate health disparities at both the population and health system levels.

Bio: Myrtede Alfred is an Assistant Professor in the Mechanical & Industrial Engineering Department at the University of Toronto. She directs the Safety, Equity, & Design (SĒD) Lab which conducts patient safety research in several area, including CPR feedback efficacy, application of extended reality in patient education, and retained foreign objects. Her research also leverage sociotechnical systems analysis approaches to examine clinical system contributions to healthcare disparities. Prior to joining University of Toronto, Dr. Alfred was a research assistant professor at the Medical University of South Carolina where she spent three years applying her expertise to improve the delivery of care in the hospital through both research and practice. She worked closely with the risk and patient safety teams and conducted direct observation on medical floors, intensive care units, and operating rooms. Dr. Alfred has published over 20 peer-reviewed articles and has given eight invited talks. Her research has been funded by the Agency for Healthcare Research and Quality (AHRQ), the Natural Sciences and Engineering Research Council (NSERC), and the Canadian Institutes of Health Research (CIHR). Dr. Alfred obtained her PhD in industrial engineering from Clemson University (2017) where she held the Southern Regional Education Board Dissertation and the Janine Bowen Graduate Fellowships and earned multiple awards for teaching and outreach, including the MLK Jr. Excellence in Service Award. Beyond academic research, Dr. Alfred leads her STEAM education nonprofit, Marie’s Kids, in North Charleston, South Carolina.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend. There will be a reception to follow the seminars in the IOE commons from 4 -5 p.m

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Workshop / Seminar Mon, 19 Sep 2022 11:57:05 -0400 2022-10-06T15:00:00-04:00 2022-10-06T16:00:00-04:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Myrtede Alfred
Departmental Seminar (899): Karen Hicklin (November 10, 2022 3:00pm) https://events.umich.edu/event/96921 96921-21793571@events.umich.edu Event Begins: Thursday, November 10, 2022 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Speaker: Karen Hicklin, Assistant Professor at University of Florida

Title: "Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina?"

Abstract: Healthy People 2020 and the National Colorectal Cancer Roundtable established colorectal cancer (CRC) screening targets of 70.5% and 80%, respectively. While evidence-based interventions (EBIs) have increased CRC screening, the ability to achieve these targets at the population level remains uncertain. We simulated the impact of multicomponent interventions in North Carolina over 5 years to assess the potential for meeting national screening targets. Each intervention scenario is described as a core EBI with additional components indicated by the “+” symbol: patient navigation for screening colonoscopy (PN-for-Col+), mailed fecal immunochemical testing (MailedFIT+), MailedFIT+ targeted to Medicaid enrollees (MailedFIT+forMd), and provider assessment and feedback (PAF+). Each intervention was simulated with and without Medicaid expansion and at different levels of exposure (i.e., reach) for targeted populations. Outcomes included the percent up-to-date overall and by sociodemographic subgroups and number of CRC cases and deaths averted. Each multicomponent intervention was associated with increased CRC screening and averted both CRC cases and deaths; three had the potential to reach screening targets. PN-for-Col+ achieved the 70.5% target with 97% reach after 1 year, and the 80% target with 78% reach after 5 years. MailedFIT+ achieved the 70.5% target with 74% reach after 1 year and 5 years. In the Medicaid population, assuming Medicaid expansion, MailedFIT+forMd reached the 70.5% target after 5 years with 97% reach. This study clarifies the potential for states to reach national CRC screening targets using multicomponent EBIs, but decision-makers also should consider tradeoffs in cost, reach, and ability to reduce disparities when selecting interventions.

Bio: Dr. Karen Hicklin is an Assistant Professor in the Department of Industrial and Systems Engineering at the University of Florida. She received her PhD in Industrial Engineering from North Carolina State University, her MS in Mathematics and Statistics from Georgetown University, and her BS from Spelman College where she majored in mathematics. Before beginning her faculty appointment, she completed Postdoctoral Training in the Department of Statistics and Operations and Department of Health Behavior in the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill. Her research interest includes data-driven approaches to model decision making for healthcare quality improvement. She focuses on using optimization methods to provide solutions and policies for improving healthcare delivery and decreasing health disparities.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend. There will be a reception to follow the seminars in the IOE commons from 4 -5 p.m

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Workshop / Seminar Mon, 19 Sep 2022 11:58:26 -0400 2022-11-10T15:00:00-05:00 2022-11-10T16:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Karen Hicklin
Departmental Seminar (899): Linda Ng Boyle, Professor at University of Washington (December 1, 2022 3:00pm) https://events.umich.edu/event/101580 101580-21801538@events.umich.edu Event Begins: Thursday, December 1, 2022 3:00pm
Location: Industrial and Operations Engineering Building
Organized By: U-M Industrial & Operations Engineering

Modeling human-vehicle interactions requires an understanding of the human behavior. The model development needs to capture human’s interaction with their surroundings to better inform the algorithms for advanced driver assistance systems (ADAS). A challenge in model development is the ability to accurately predict human behavior, particularly in complex environments that include other human road users, such as pedestrians and bicyclists.
Agents, environments, and scenarios provide the key indicators for quantifying human-vehicle interaction. A framework is presented to better quantify and predict interactive human-vehicle decision-making.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend. A reception will be held afterwards in the IOE Commons from 4-5pm.

Presenter Bio:
Linda Ng Boyle is Professor in Industrial & Systems Engineering at the University of Washington, Seattle. She has a joint appointment in Civil & Environmental Engineering. She has degrees from the University of Buffalo and University of Washington. She is a member of the National Academies Board of Human System Integration and co-author of the textbook, “Designing for People: An Introduction to Human Factors Engineering”.

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Workshop / Seminar Tue, 22 Nov 2022 15:00:20 -0500 2022-12-01T15:00:00-05:00 2022-12-01T16:00:00-05:00 Industrial and Operations Engineering Building U-M Industrial & Operations Engineering Workshop / Seminar Linda Ng Boyle