Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Listening Session with ARC Director Brock Palen (Dec. 14) (December 14, 2022 10:00am) https://events.umich.edu/event/100866 100866-21800455@events.umich.edu Event Begins: Wednesday, December 14, 2022 10:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Brock Palen would like to hear from you. Are ARC services meeting your needs? What is not working well for you? Is something technical impeding your ability to do your research? Do you like Turbo Research Storage, the HPC web interface Open OnDemand, or the no-cost allocations offered by the U-M Research Computing Package?

This is an open, virtual, drop-in office hour. All are welcome.

Can’t make the Dec. 14 session? There's another one on Dec. 16 - https://events.umich.edu/event/100868

How to join the Dec. 14 Listening Session via Zoom
ID: 91451008889
‪(US) +1 301-715-8592‬
‪(CA) +1 778-907-2071‬
91451008889@zoomcrc.com
Meeting host: brockp@umich.edu

Join Zoom Meeting:
https://umich.zoom.us/j/91451008889

Joining instructions -https://applications.zoom.us/addon/invitation/detail?meetingUuid=Yd6MckrLR6qPUTm5WOCbcw%3D%3D&signature=7753aec0479b2fdc59b96e0344852951ebc6c62f409bc58a389b471fc36e3b5c&v=1

Prefer to send an email?
Contact Brock Palen at brockp@umich.edu or reach out to ARC at arc-support@umich.edu.

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Meeting Fri, 04 Nov 2022 08:12:07 -0400 2022-12-14T10:00:00-05:00 2022-12-14T11:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting
Listening Session with ARC Director Brock Palen (Dec. 16) (December 16, 2022 11:30am) https://events.umich.edu/event/100868 100868-21800458@events.umich.edu Event Begins: Friday, December 16, 2022 11:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Brock Palen would like to hear from you. Are ARC services meeting your needs? What is not working well for you? Is something technical impeding your ability to do your research? Do you like Turbo Research Storage, the HPC web interface Open OnDemand, or the no-cost allocations offered by the U-M Research Computing Package?

This is an open, virtual, drop-in office hour. All are welcome.

How to join the Dec. 16 Listening Session via Zoom
https://umich.zoom.us/j/92727272942
ID: 92727272942
‪(CA) +1 647-558-0588‬
‪(US) +1 689-278-1000‬
92727272942@zoomcrc.com

Meeting host: brockp@umich.edu

Join Zoom Meeting:
https://umich.zoom.us/j/92727272942

Joining instructions -https://applications.zoom.us/addon/invitation/detail?meetingUuid=%2BgiWYqLESKelrRuvs9nnuQ%3D%3D&signature=822a64bd6369afc2059ec8e31c7a1d60eedb961e124c27a6b8d83cbb2481082b&v=1

Prefer to send an email?
Contact Brock Palen at brockp@umich.edu or reach out to ARC at arc-support@umich.edu.

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Meeting Fri, 04 Nov 2022 08:14:39 -0400 2022-12-16T11:30:00-05:00 2022-12-16T12:30:00-05:00 Off Campus Location Information and Technology Services (ITS) Meeting
Hazy Oracles in Deep Learning (January 17, 2023 10:00am) https://events.umich.edu/event/103151 103151-21806186@events.umich.edu Event Begins: Tuesday, January 17, 2023 10:00am
Location: Ford Robotics Building
Organized By: Michigan Robotics

Chair: Jason Corso

In person in FRB 2300 and on Zoom:
https://umich.zoom.us/j/95963594618
Passcode: HAZY

Abstract:
While deep learning problems are often motivated as enabling technologies for human-computer interaction---a support robot, for example, must align natural language referents and sensor readings to operate in a human world---assumptions of these works make them poorly suited to real-world human interaction. Specifically, evaluation typically assumes that humans are oracles that provide semantically correct and unambiguous information, and that all such information is equally useful. While this is enforced in controlled experiments via carefully curated datasets, models operating in the wild will need to compensate for the fact that humans are hazy oracles that may provide information that is incorrect, ambiguous, or misaligned with the features learned by the model. For example: given a choice of three mugs, a robot would not be able to satisfy a request to retrieve the mug, but would be able to retrieve the orange mug.

A natural question follows: how can we use deep learning models trained via the oracle assumption with hazy humans? We answer this question via a method we call deferred inference, which allows models trained via supervised learning to solicit and integrate additional information from the human when necessary. Deferred inference begins with a method for determining if the model should defer inference and wait until more human-provided information is provided. While past work has generally simplified this into one of two questions: is the human-provided information correct? or is the output correct? We find that these approaches are insufficient due to the complex relationship between human inputs, sensor readings, and deep models: low-quality human-provided information may not cause error, while high-quality human-provided information may not correct it. To address the misalignment between input and output error, we introduce Dual-loss Additional Error Regression, or DAER, a method that successfully locates instances where a new human input can reduce error.

Although introduction of such an effective deferral function is necessary to optimize the trade-off between human effort and error, we must additionally consider that the deferral response is also subject to the effects of hazy oracles. For this reason, we must not only consider how to find error caused by human input but also how to integrate deferral responses and measure the performance of the team. For this, we introduce aggregation functions that allow us to integrate information across multiple inferences and a novel evaluation framework that measures the trade-off between error and additional human effort. Through this evaluation, we show that we can reduce error by up to 48% under a reasonable level of human effort without any changes to training or architecture.

Last, we consider how shifting from a dataset-based evaluation to an individual human affects deferred inference. Specifically, whereas crowdsourced datasets work well for rapid implementation and evaluation of deferral and aggregation functions, they do not accurately model human-computer interaction: the mechanisms used to procure high-quality data cause shifts in the distribution, and the failure to track the inputs of individual annotators makes the tacit assumptions that all humans are the same, and inputs do not change over time or deferral depth. Through a human-centered experiment, we find that these assumptions are not true: an ideal deferral function must be calibrated for a specific user, users learn the model over time, and the deferral response is likely to be of lower quality than the initial query. Despite this mismatch with crowdsourced evaluation, we find that using our proposed deferral and aggregation functions can still reduce error in practice.

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Presentation Wed, 11 Jan 2023 14:42:04 -0500 2023-01-17T10:00:00-05:00 2023-01-17T12:00:00-05:00 Ford Robotics Building Michigan Robotics Presentation An elderly man asks a robot to fetch the correct mug.
Fireside chat with Dr. Ruba Borno (January 31, 2023 2:00pm) https://events.umich.edu/event/103466 103466-21807237@events.umich.edu Event Begins: Tuesday, January 31, 2023 2:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

Dr. Ruba Borno is a recipient of the ECE Rising Star Alumni Award.

Join a conversation with Ruba Borno, Vice President, WW Channels & Alliances at Amazon Web Services (AWS) regarding her insights as a leader in the tech industry. This fireside chat will be moderated by Dr. Ravi Pendse, Vice President for Information Technology and Chief Information Officer, University of Michigan. Attendees are encouraged to sign up to attend and submit questions in advance!

Bio

Ruba Borno is the Vice President, Worldwide Channels & Alliances for Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform. Central to the success of AWS and its customers, Ruba leads the AWS Partner Organization (APO), a global team responsible for recruiting, enabling, buying and selling with over 100,000 companies in more than 150 countries, within the AWS Partner Network (APN). APO is customer-obsessed, providing the most innovative programs and services to its diverse partner community of Global System Integrators (SIs), Regional and National SIs, Solutions Providers, Distributors, Data Providers, Service Providers, Consulting Partners, and Independent Software Vendors to build and scale their businesses. She is also responsible for AWS Marketplace and AWS Data Exchange, helping customers move quickly and responsibly to the cloud by making it easy to find, subscribe, and govern third-party software, data, and professional services.

Prior to joining AWS, Ruba held several leadership positions over the course of her six-year tenure with Cisco, a leader in IP-based networking technologies: Vice President, Growth Initiatives and Chief of Staff to the CEO (2015-2018); Vice President and General Manager, Cisco Managed Services (2018-2020); and SVP and General Manager of Cisco’s Global Customer Experience (CX) Centers (2020-2021), where she led a team of 18,000 engineers to deliver Cisco’s full services portfolio including technical, professional and managed services, as well as customer success, and supply chain and logistics.

Before that, Ruba was a principal with The Boston Consulting Group (BCG) and a leader in BCG’s Technology, Media, & Telecommunications, and People & Organization practices. She is also a member of The Forum of Young Global Leaders, an organization that seeks to drive public-private cooperation in the global public interest in alignment with the World Economic Forum.

Ruba holds a Ph.D. and a Master of Science in Electrical Engineering from the University of Michigan, where she was an Intel Ph.D. fellow at the National Science Foundation’s Engineering Research Center for Wireless Integrated MicroSystems. She has a Bachelor of Science in Computer Engineering from the University of North Carolina at Charlotte.

Ruba has served on the Board of Directors at Experian since 2018.

Zoom webinar information

https://umich.zoom.us/j/96681494984
Passcode: 525837

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Livestream / Virtual Mon, 16 Jan 2023 10:48:09 -0500 2023-01-31T14:00:00-05:00 2023-01-31T14:45:00-05:00 Off Campus Location Electrical and Computer Engineering Livestream / Virtual speaker headshot
Privacy@Michigan: Child Safety in the Smart Home (February 8, 2023 12:00pm) https://events.umich.edu/event/104342 104342-21808844@events.umich.edu Event Begins: Wednesday, February 8, 2023 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The adoption of home devices connected to the internet is growing and so are concerns about child physical and digital safety and privacy in the smart home. The U-M community is invited to join us on Zoom for a presentation and Q&A with Kaiwen Sun, U-M School of Information Ph.D. student, as she explores the discrepancies between marketing depictions and device features, and discusses considerations for keeping children safe in the smart home.

Kaiwen Sun’s research focuses on the intersection of children’s privacy and safety and understanding parents’ perceptions and behaviors around privacy and safety in the context of smart home technologies.

This event is open to the U-M community (umich login required) and will be especially relevant to parents, grandparents, guardians, and others who interact with children in their homes.

Zoom link: https://umich.zoom.us/j/99704278354?pwd=ejJzL2NDNDhPVHkwM3pobHUxVXREdz09

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Livestream / Virtual Wed, 08 Feb 2023 10:08:51 -0500 2023-02-08T12:00:00-05:00 2023-02-08T13:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Livestream / Virtual Privacy at Michigan - Child Safety in the Smart Home Presentation and Q and A
Privacy@Michigan Keynote: Privacy, Power, & Platforms (February 17, 2023 11:00am) https://events.umich.edu/event/104323 104323-21808823@events.umich.edu Event Begins: Friday, February 17, 2023 11:00am
Location: Palmer Commons
Organized By: Information and Technology Services (ITS)

Register to join the 2023 Privacy@Michigan keynote with Dr. Kirsten Martin on Friday, February 17 at 11 a.m.

Dr. Kirsten Martin for a Privacy@Michigan keynote presentation on privacy expectations on online platforms. Standard approaches to privacy assume individuals relinquish privacy expectations when online or have focused on individuals in relation to a single company. Platforms, such as social media, marketplaces, search engines, etc, are unique in having duties beyond a standard company while also having access to the data of millions of individuals. Dr. Martin will discuss how we need to think about platforms, particularly powerful platforms, as having an obligation to respect the privacy of their users and what that obligation actually entails. Dr. Martin is a University of Michigan College of Engineering alumna.

Dr. Florian Schaub, Assistant Professor of Information, School of Information and Assistant Professor of Electrical Engineering and Computer Science, College of Engineering, will facilitate Q&A time after the keynote presentation.

This hybrid event will be hosted in person in Forum Hall, on the fourth floor of Palmer Commons, and livestreamed on the Privacy@Michigan events page [https://safecomputing.umich.edu/events/privacy-at-michigan/privacy-day-2023/Keynote-Dr-Martin]

Refreshments will be available just prior to the event.

Event Registration: https://docs.google.com/forms/d/e/1FAIpQLScoH_8y6kGaki_obU0hPoMPFCJ3SRHkg6bKb0GTRX0GkGGX6g/viewform?usp=sf_link

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Lecture / Discussion Mon, 06 Feb 2023 12:36:14 -0500 2023-02-17T11:00:00-05:00 2023-02-17T12:00:00-05:00 Palmer Commons Information and Technology Services (ITS) Lecture / Discussion Privacy at Michigan Keynote address by Dr. Kirsten Martin; 11 a.m. February 17
LHS Collaboratory Joint Session with UM School of Dentistry (February 21, 2023 12:00pm) https://events.umich.edu/event/102701 102701-21805007@events.umich.edu Event Begins: Tuesday, February 21, 2023 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

“The Future is Data Analytics: Many Challenges, Many Opportunities”

Keynote Speaker:

Lawrence A. Tabak, DDS, PhD
Director
National Institutes of Health (NIH)

Register in advance via Zoom Webinar: https://umich.zoom.us/webinar/register/WN_GyKMMpgVQHu2ezvxaJfZEA#/registration

12:00 pm-1:15 pm ET (Keynote)

1:30 pm-2:15 pm ET (Breakout rooms)

The keynote presentation (12:00 pm-1:15 pm ET) will be followed by breakout rooms (1:30 pm-2:15 pm ET) on topics presented by the UM faculty and guests.

Opening Remarks:
Laurey McCauley, DDS, MS, PHD

Breakout room #1: Data Integration and Sharing: Opportunities in Entrepreneurship and Research

Wenyuan Shi, PhD
Presentation: Building the Eco-system to Support Disruptive Technologies in Dentistry

Christopher Balaban, DMD, MSC, FACD
Presentation: Entrepreneurship and AI/LHS in Dentistry

Breakout room # 2 Data Integration and Sharing in/out of the Clinic: New Medical and Dental technologies and LHS methods to optimize care

Alexandre F. M. DaSilva, DDS, DMedSc
Presentation: Integrating and Sharing Dental and Medical Data in a Diverse Ecosystem – The Learning Health Systems Perspective

Muhammad F. Walji, PhD
Presentation: BigMouth: Lessons Learned from a Decade of Sharing EHR Data in Dentistry

Breakout room #3: Data Integration and Sharing in Imaging and Pharmacogenetics

Lucia Cevidanes, DDS, MS, PhD
Presentation: Innovations in Multimodal Imaging Data Integration and Sharing

Amy Pasternak, PharmD
Presentation: Integrating Pharmacogenomics into Daily Practice

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Livestream / Virtual Thu, 26 Jan 2023 23:22:37 -0500 2023-02-21T12:00:00-05:00 2023-02-21T14:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
TikTok, Boom - Conversation with Director, Shalini Kantayya and U-M Panel (March 16, 2023 11:00am) https://events.umich.edu/event/104991 104991-21810544@events.umich.edu Event Begins: Thursday, March 16, 2023 11:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Join the Dissonance Event Series and participate in a discussion with the director of TikTok Boom, Emmy-nominated filmmaker Shalini Kantayya, along with a panel of U-M faculty and students. TikTok, Boom examines the algorithmic, socio-political, economic, and cultural influences and impacts of TikTok and was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival.

The film will be available to view on PBS: https://www.pbs.org/independentlens/documentaries/tiktok-boom/

TikTok, Boom Events Page: https://safecomputing.umich.edu/events/dissonance/TikTokBoom

Register to attend the March 16 virtual discussion: https://umich.zoom.us/webinar/register/WN_a7DS9uIcQdKpkVCdqDJNRQ

Add the event to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/NHFwNGRjODBuam5qOXNrNGZhdm84OGwyazkgdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

ABOUT THE FILM
Dissecting one of the most influential platforms of the contemporary social media landscape, TikTok Boom examines the algorithmic, socio-political, economic, and cultural influences and impact of the history-making app. This rigorous exploration balances a genuine interest in the TikTok community and its innovative mechanics with a healthy skepticism around the security issues, global political challenges, and racial biases behind the platform. A cast of Gen Z subjects, helmed by influencer Feroza Aziz, remains at its center, making this one of the most needed and empathetic films exploring what it means to be a digital native.

DIRECTOR & PRODUCER: SHALINI KANTAYYA
Emmy-nominated filmmaker Shalini Kantayya directs fiction and nonfiction films that artfully marry the future of science with the future of story. Her latest film, TikTok, Boom, was nominated for the Grand Jury Prize at the 2022 Sundance Film Festival and was official selection at SXSW. Her critically-acclaimed 2020 Sundance film, Coded Bias, was broadcast nationally on PBS’s Independent Lens and globally on Netflix in April 2021. The film has been nominated for a Critics’ Choice, and an NAACP Image Award for Outstanding Documentary. The film won Best Director at the Social Impact Media Awards, and the Visionary Filmmaker Award at GlobeDocs. Shalini’s debut feature, Catching the Sun, released globally on Netflix on Earth Day 2016 with Executive Producer Leonardo DiCaprio and was named a New York Times Critics’ Pick.

Shalini directed for National Geographic television series Breakthrough ), Executive Produced by Ron Howard, and episodes for NOVA and YouTube Originals. She is a TED Fellow, a William J. Fulbright Scholar, and Concordia Studios Artist Fellow. She is an Associate of the UC Berkeley School of Journalism.

LINKS & RESOURCES
- Shalini Kantayya website: https://www.shalinikantayya.net/about
- National Geographic television series Breakthrough: https://www.nationalgeographic.com/tv/
- TED Fellow: https://www.youtube.com/watch?v=qVzNNZ6w-ls)
- Coded Bias - Dissonance Panel Discussion - April 15, 2021: https://safecomputing.umich.edu/events/dissonance/coded-bias-panel-discussion
- Women Make Movies: https://www.wmm.com

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Lecture / Discussion Thu, 09 Mar 2023 13:54:26 -0500 2023-03-16T11:00:00-04:00 2023-03-16T12:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Lecture / Discussion TikTok, Boom logo on black background with Sundance festival 2022 selection logo
CSCS Seminar: Can Governance be Reconciled with Uncertainty in Machine Learning? Challenges and Opportunities concerning Accountability and Variance (March 23, 2023 11:30am) https://events.umich.edu/event/106357 106357-21814124@events.umich.edu Event Begins: Thursday, March 23, 2023 11:30am
Location: Weiser Hall
Organized By: The Center for the Study of Complex Systems

*This is a THURSDAY seminar*

Abstract: Artificial intelligence (AI) and machine learning (ML) researchers are confronted daily with the reality that our field has become a stand-in in popular discourse for a variety of public anxieties, political debates, and metaphysical questions about human nature and intelligence. Among such weighty topics, it can be easy to neglect the importance of low-level engineering decisions and infrastructure in AI/ML technology — the realities of implementing algorithms in code, deploying systems at scale, reckoning with computational resource constraints, and numerous other empirical concerns that complicate theory (both statistical and legal) in practice.

This talk will explore how variance introduces arbitrariness into AI/ML, which in turn complicates system reliability and concrete, actionable notions of accountability. While the details of variance may seem mundane in comparison to debates about the essence of intelligence, they are in fact responsible for powering the technology — intelligent or not — that is reshaping the contours of fundamental rights and institutions. This talk will clarify these connections by examining how variance is central to the function of AI/ML systems, and moreover, is inextricable from how these systems reproduce existing harms, such as racial discrimination, and bring about emergent behaviors that create novel problems for due process in the law.

Bio:
A. Feder Cooper is a Ph.D. candidate in Computer Science at Cornell University and Rising Star in EECS (MIT, 2021), working at the interface of uncertainty, reliability, accountability, and ethics in computing. Cooper researches empirically motivated, theoretically grounded problems in Bayesian inference, model selection, and deep learning, and has published numerous papers at top AI/ML conferences (e.g., NeurIPS and AISTATS). In bringing this work to bear on tech policy and ethics, Cooper engages methods from the law and social sciences, and has had work featured in interdisciplinary computing venues (e.g., FAccT) and tech law journals (e.g., Colorado Tech Law Journal). Much of this work has been recognized with spotlight and contributed talk awards.

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Workshop / Seminar Fri, 17 Mar 2023 10:54:57 -0400 2023-03-23T11:30:00-04:00 2023-03-23T13:00:00-04:00 Weiser Hall The Center for the Study of Complex Systems Workshop / Seminar A. Feder Cooper
LHS Collaboratory (March 23, 2023 12:00pm) https://events.umich.edu/event/105035 105035-21810617@events.umich.edu Event Begins: Thursday, March 23, 2023 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speaker:
Thomas R. Campion, Jr., Ph.D., FACMI, FAMIA
Chief Research Informatics Officer
Associate Professor of Research in Population Health Sciences
Weill Cornell Medicine

Clinical and translational investigators need patient data, especially from electronic health record (EHR) systems, to conduct research, but optimal approaches are unknown. This talk explores an approach for supporting different types of investigators and study designs by matching investigators with informatics tools and services.

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Lecture / Discussion Wed, 15 Feb 2023 23:51:27 -0500 2023-03-23T12:00:00-04:00 2023-03-23T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
MICDE Annual Symposium (March 24, 2023 8:00am) https://events.umich.edu/event/105067 105067-21810679@events.umich.edu Event Begins: Friday, March 24, 2023 8:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Computational Discovery and Engineering

The Michigan Institute for Computational Discovery and Engineering welcomes a distinguished group of scientists from around the world for its 2023 Symposium, titled *“Emerging and Future Paradigms for High Performance Computing.”*

Speakers to include:
- Fariba Fahroo, Program Officer, Air Force Office of Scientific Research
- Doug Kothe, Director, U.S. Department of Energy Exascale Computing Project
- Amitava Bhattacharjee, Professor, Astrophysical Sciences and Head, Theory Department, Princeton University
- Alex Aiken, Professor, Computer Science, Stanford University
- Patty Lee, Chief Scientist, Honeywell Quantum Solutions
- Christiane Jablonowski, Professor, Department of Climate and Space Sciences and Engineering, University of Michigan

There will also be a poster competition for MICDE graduate students and post-docs to present their research.

For more information or to register, see https://micde.umich.edu/symposium23/

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Conference / Symposium Thu, 16 Feb 2023 14:21:47 -0500 2023-03-24T08:00:00-04:00 2023-03-24T16:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Computational Discovery and Engineering Conference / Symposium MICDE Annual Symposium
MICDE Ph.D. Student Seminar: Mingyan Tian (April 13, 2023 1:00pm) https://events.umich.edu/event/107260 107260-21815689@events.umich.edu Event Begins: Thursday, April 13, 2023 1:00pm
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Computational Discovery and Engineering

Topic: *Pricing Physical Water Risk: Machine Learning Approaches to Quantify the Impact of Corporate Water Use Efficiencies in the Financial Markets*

Corporate financial risk in their operations resulting from climate change and water resource limitations result in volatility in the capital markets. This has become a regulatory focus under the Task for Climate-Related Financial Disclosures (TCFD), forcing companies to disclose how climate is impacting their financial performance. This includes water risk exposures in water security and the impact of floods in supply chains, logistics, and operations resulting from water access. Corporate water intensity, a proxy for climate transition risk, relates water use efficiency to operational and capital asset risks. This information is generally not disclosed in financial or sustainability reports and is difficult for investors or regulators to assess, and for risk managers to address. This seminar focuses on the development of econometric models to price water risk in equities with the aim of informing corporate decision-makers and external stakeholders to assess and benchmark the financial valuation of water risk and to allow for comparison across industry sectors.

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Presentation Thu, 06 Apr 2023 10:34:09 -0400 2023-04-13T13:00:00-04:00 2023-04-13T13:30:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Computational Discovery and Engineering Presentation MICDE Ph.D. Seminar Series: Mingyan Tian
From Theory to Practice: Building Ethical and Trustworthy AI (May 16, 2023 9:00am) https://events.umich.edu/event/106881 106881-21814961@events.umich.edu Event Begins: Tuesday, May 16, 2023 9:00am
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Institute for Data Science

Every day, whether we realize it or not, we are constantly surrounded by AI technology. From self-driving cars, to facial recognition software, fraud prevention models, recommender systems, ChatGPT, etc., AI is rapidly transforming our lives. But do we fully comprehend the real range of potential ethical implications related to its use and regulation? This event will stimulate ideas and investigation into that question by bringing together academics, leaders and scientists in the private sector and policy regulation areas, to share their knowledge and discuss ethical challenges and trends in AI regulation, along with cutting-edge theory and implementation of ethical and transparent AI models. The event is free and open to all who develop AI methods, are current or future users of AI, or are curious about how AI will shape research and our society.

Organizers: as a facilitator of the development and application of data science (DS) and AI techniques for the broad U-M data science community, MIDAS is also imbued with the mission of promoting ethical research. In fact, one of the five research pillars that MIDAS supports is ‘Responsible Research’, focused on enhancing the scientific and societal impact of DS and AI, which takes place especially through fomenting the discussion and expansion of the Ethical AI field. On the other hand, as a prominent player in the private sector, Rocket Companies constantly strive for learning and applying responsible cutting-edge tools in AI. Joined with a common interest in the Ethical AI field, MIDAS and Rocket Companies are inviting you to share your views and learn together about breakthroughs and pressing issues regarding ethical AI.

Keynote presentations:

"Recognizing and Eliminating Harmful Biases in AI for Healthcare" with Jenna Wiens, Associate Professor of Computer Science and Engineering, University of Michigan

“Evaluation and Values in Machine Learning and NLP” with Dallas Card, Assistant Professor, School of Information, University of Michigan

"AI policy in US and EU" with Merve Hickok, President @ Center for AI & Digital Policy


For full schedule, please visit: https://midas.umich.edu/building-ethical-ai/

Sponsored by:
Rocket Companies, Inc.
Ethics, Society, and Computing

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Conference / Symposium Tue, 16 May 2023 13:34:29 -0400 2023-05-16T09:00:00-04:00 2023-05-16T17:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Institute for Data Science Conference / Symposium AI generated image, DALL-E
EECS Juneteenth Celebration (June 16, 2023 12:00pm) https://events.umich.edu/event/108777 108777-21820380@events.umich.edu Event Begins: Friday, June 16, 2023 12:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

Join the fourth annual EECS Juneteenth Celebration
Zoom link: https://umich.zoom.us/j/97138270916 (Passcode: 696957)

The EECS Juneteenth Celebration will take place virtually and will include:

A welcome address by Michigan Lieutenant Governor and EECS alumnus Garlin Gilchrist
A performance of Lift Every Voice and Sing, the Black National Anthem
A reading of the history of Juneteenth
A reading of the Emancipation Proclamation
A panel discussion on the importance of empowering and uplifting our Michigan communities, especially through STEM, as our goal is to train people-first engineers who inspire the next generation of problem-solvers.
Closing remarks by the EECS department chairs

Attendees will hear from the following panelists:

Madeline Miller, Doctoral Student, School for Environment and Sustainability (SEAS), University of Michigan

Leon Pryor (BS EE 1997) , Senior Game Producer, Meta

David Tarver (BSE MSE EE ’75 ’76), Entrepreneur, educator, and community organizer

Madeline Walker Miller is the Founder and CEO of NexTiles, a Detroit-based textile recycling company that converts textile waste into building insulation. Her professional background focuses on reducing textile waste and its harmful impacts to our natural environment. Her company specializes in creating secondary uses for textiles and engaging more Detroiters in creating circular economy solutions. She is an alumna of Spelman College and earned a master’s degree in Coastal Zone Management from the University of Miami’s Rosenstiel School of Marine and Atmospheric Science.

Madeline’s passion lies in empowering young Black people and people of color to embrace environmentally sustainable behaviors. She is a PhD student at the University of Michigan School for Environment and Sustainability (SEAS), studying in the Urban Energy Justice Lab. In her spare time, she enjoys family outings and playing with her boxer, Maximus. Learn more about Madeline here.

Leon Pryor (BS EE 1997) is a Detroit-based technology professional. After graduating from Michigan, Leon joined Microsoft, where he helped launch the Xbox and Xbox 360 game consoles and dozens of games from Electronic Arts, Microsoft Game Studios, Disney, and Lucasarts. Leon is currently a Senior Video Game Producer for META’s(Facebook) reality lab group, building games for Augmented and Virtual Reality headsets. Outside work, Leon is a passionate advocate for STEM enrichment in Detroit, Michigan, where he co-founded the Motor City Alliance: A non-profit organization that supports over 100 robotics teams in Detroit in after-school programs, summer camps, and FIRST Robotics competitions. Leon is also the coach of two FIRST Robotics teams: FIRST Robotics Challenge team 8280 K9.0 Robotics from the School at Marygrove and FIRST Tech Challenge team 14010 TechnoPhoenix from the Foreign Language Immersion and Cultural Studies school. Team TechnoPhoenix recently made history as the first Detroit Public school to qualify for the World Championships. Additionally, Leon was recognized as the Michigan State FIRST Robotics Coach of the Year and was runner-up for the award at the World Championships in Houston, TX.

David Tarver (BSE MSE EE) is a successful entrepreneur and educator who has focused on community service for the past two decades. After several years at Bell Labs, David launched Telecom Analysis Systems, Inc., a high-tech telecommunications instrumentation business. He sold that company twelve years later for $30 million and then, working as Group President for the buyer, built a telecommunications business with a market value in excess of $2 billion.

His community service activities include founding the Red Bank Education and Development Initiative (RBEDI), a community-based not-for-profit organization that catalyzed dramatic improvements in academic performance and opportunities for children in Red Bank, NJ. In 2014, he founded the Urban Entrepreneurship Initiative, which facilitates the creation of sustainable business solutions to important urban problems. He has served as a lecturer in the Center for Entrepreneurship since 2012, and during the 2015-2016 academic year, he launched a new course entitled “Urban Entrepreneurship.”

Tarver’s book, “Proving Ground: A Memoir,” details his entrepreneurial journey from childhood dream to international success.

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Lecture / Discussion Thu, 15 Jun 2023 08:32:06 -0400 2023-06-16T12:00:00-04:00 2023-06-16T13:00:00-04:00 Off Campus Location Electrical and Computer Engineering Lecture / Discussion
LHS Collaboratory (June 21, 2023 3:00pm) https://events.umich.edu/event/108002 108002-21819440@events.umich.edu Event Begins: Wednesday, June 21, 2023 3:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Speaker:
Dipak Kalra, PhD, FRCGP, FACMI, FBCS
President, The European Institute for Innovation through Health Data
Professor of Health Informatics, UCL and Visiting Professor, University of Gant
One of the strongest drivers for Learning Health Systems in Europe right now is the urgency to strengthen health systems resilience through accelerated digital health transformation. This is a direct reaction to the struggles all of our health systems had during the COVID-19 pandemic.
Up to now digital health innovation has occurred in a rather piecemeal way, often through pilots that fail to scale up or be sustained. There is a real gap in the understanding of how digital health solutions, especially patient empowerment for disease self-management through smart technical solutions, can be appropriately targeted to the right patients, influence care pathways in an efficient and safe way, become culturally embraced by clinical teams and accountably adopted by healthcare provider organizations. There are several initiatives and opportunities in progress in Europe to accelerate the adoption of digital health technologies and to support the dissemination of good practices, which will be discussed during this talk.
In parallel, equally urgent, is the recognition that health data must be better used to support learning at scale, for example to be better prepared to gather intelligence rapidly as a lesson learned from the COVID-19 pandemic, and the need to accelerate research that can deliver innovative treatments, devices and algorithms. Many European countries have embarked upon establishing a national or regional health data infrastructure and ecosystem that enables the reuse of data for research. Most exciting of all, the European Commission has announced a multibillion program to establish a European Health Data Space (EHDS). An important success factor for this will be public trust, and therefore getting the governance model right for wide scale data reuse is critical. This talk will explain the approaches being taken across Europe to scale up the ability to analyze large volumes of health data, including its governance, and how the EHDS is anticipated to catalyze a step change in that scale of learning from health data.

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Lecture / Discussion Fri, 26 May 2023 00:22:13 -0400 2023-06-21T15:00:00-04:00 2023-06-21T16:30:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
The Design and Implementation of the Illinois Express Quantum Metropolitan Area Network (June 22, 2023 2:00pm) https://events.umich.edu/event/108778 108778-21820381@events.umich.edu Event Begins: Thursday, June 22, 2023 2:00pm
Location: Arbor Lakes
Organized By: Information and Technology Services (ITS)

Join Information and Technology Services (ITS) in welcoming Joaquin Chung to campus for a presentation on Quantum Networking, cutting-edge research, and one of the future technologies in campus network computing. This will be a very technical presentation geared for researchers and technologists.

Chung is a research scientist at the University of Chicago and Argonne National Laboratory who is working on the Illinois Express Quantum Metropolitan Area Network (IE QMAN). The IE QMAN is a functioning test bed that supports the transmission of quantum network traffic over existing dark fiber networks. This talk will describe details around the network control and physics involved in quantum data transmission.

Special Invitation:
Joaquin Chung will be available to chat with U-M researchers Thursday and Friday mornings during his time in Ann Arbor. If you would like to schedule a meeting with him, email T. Charles Yun (tcyun@umich.edu) to schedule an appointment.

Joaquin Chung is a postdoctoral appointee at the Data Science and Learning Division at Argonne National Laboratory. He received both his B.S. in Electronics and Communications Engineering (2007) and his M.Sc. in Communication Systems Engineering with Emphasis in Data Networks (2013) from University of Panama, Panama. He received his Ph.D in Electrical and Computer Engineering under the supervision of Dr. Henry Owen and Dr. Russ Clark at Georgia Institute of Technology, Atlanta, USA in December 2017. He is a Fulbright alumni, an IEEE member, and an ACM member. His research interests include software-defined networking, software-defined exchanges, cyber-infrastructure orchestration, edge computing, network security, and quantum communication networks.

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Lecture / Discussion Thu, 15 Jun 2023 16:50:23 -0400 2023-06-22T14:00:00-04:00 2023-06-22T15:00:00-04:00 Arbor Lakes Information and Technology Services (ITS) Lecture / Discussion Joaquin Chung, University of Chicago & Argonne National Laboratory
MIDAS Annual welcome-back social and faculty research pitch (September 6, 2023 2:30pm) https://events.umich.edu/event/109817 109817-21823037@events.umich.edu Event Begins: Wednesday, September 6, 2023 2:30pm
Location: Palmer Commons
Organized By: Michigan Institute for Data Science

The Michigan Institute for Data Science (MIDAS) invites you to kick off the new academic year with us at our annual Welcome-back Social and Faculty Research Pitch. Come and talk with MIDAS affiliate faculty members and others in the U-M data science and AI research community, hear research collaboration opportunities, find out upcoming research and training activities at MIDAS, and discuss how MIDAS can work with you!

For more information and list of speakers, please visit our event page: https://midas.umich.edu/welcome-back-social-and-faculty-research-pitch/

Registration: https://forms.gle/fATqaGoV8tKjjAcY8


Scheduled presentations:
2:30 PM – 3:00 PM

Stacy Rosenbaum, Assistant Professor, Anthropology.
Research area: Evolutionary causes and consequences of social behavior.

Anne Draelos, Assistant Professor, Biomedical Engineering, Computational Medicine and Bioinformatics.
Research area: Real-time machine learning for adaptive neuroscience applications.

Minji Kim, Assistant Professor, Computational Medicine and Bioinformatics.
Research area: Computational 3D genomics.

Cam McLeman, Associate Professor, Mathematics and Applied Sciences.
Research area: Graph-Based Methods, Machine Learning, Mathematical and Statistical Modeling, Networks, Statistics.

Runzi Wang, Assistant Professor, Environment and Sustainability.
Research area: Built environment, landscape architecture, machine learning, stormwater management, stream water quality, urban hydrology.


3:00 PM – 3:30 PM

Yan Chen, Professor, Information.
Research area: Causal inference, data science for social good, experiment design.

Hui Jiang, Professor, Biostatistics.
Research area: Bioinformatics, computational statistics, machine learning, optimization, statistical genomics.

Sean Johnson, Assistant Professor, Astronomy.
Research area: Galaxy evolution, quasars, the circumgalactic medium, the intergalactic medium.

Liang Zhao, Associated research scientist, Climate and Space Science and Engineering.
Research area: Solar wind plasma, heliophysics.

Stella Yu – Professor, Computer Science and Engineering.
Research area: Representation learning with minimal supervision.

Nishil Talati, Assistant Research Scientist, Computer Science and Engineering.
Research area: Hardware-software co-design for efficient and secure data analytics.


3:30 PM – 4:00 PM

Wei Hu, Assistant Professor, Computer Science and Engineering.
Research area: Deep Learning, Representation Learning, machine learning, optimization, theory.

Max Z. Li, Assistant Professor, Aerospace Engineering, Industrial and Operations Engineering.
Research area: Design, management, and optimization of air transportation systems.

Elizabeth Bondi-Kelly, Assistant Professor, Computer Science and Engineering.
Research area: AI for social impact.

Liang Qi, Associate Professor, Materials Science and Engineering.
Research area: Atomistic simulations, computational materials science, machine learning.

Hui Deng, Professor, Physics.
Research area: Deep learning for nanophotonics applications.

Shai Revzen, Associate Professor, Electrical and Computer Engineering.
Research area: Biologically Inspired Robotics and Dynamical Systems.

P.C. Ku, Professor, Electrical and Computer Engineering.
Research area: Optoelectronic devices.

Majdi Radaideh, Assistant Professor, Nuclear Engineering and Radiological Sciences.
Research area: Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization.

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Presentation Fri, 01 Sep 2023 15:31:43 -0400 2023-09-06T14:30:00-04:00 2023-09-06T16:30:00-04:00 Palmer Commons Michigan Institute for Data Science Presentation MIDAS Annual welcome-back social and faculty research pitch cover image
AI for Medical Imaging mini-symposium (September 26, 2023 8:30am) https://events.umich.edu/event/110929 110929-21825861@events.umich.edu Event Begins: Tuesday, September 26, 2023 8:30am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

The rapid advancement of AI tools for image analysis, including Generative AI, promises to bring medical imaging research to a new level. This mini-symposium brings together scientists who use medical image data to address significant questions and scientists who develop cutting-edge AI tools. The morning session is open to the public. The afternoon session is for U-M faculty members who would like to explore new research opportunities and collaboration.

For full list of speakers and registration, please visit our event page: https://midas.umich.edu/ai-medical-imaging/

Sponsored by the Department of Radiology, Michigan Medicine

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Conference / Symposium Wed, 30 Aug 2023 15:29:44 -0400 2023-09-26T08:30:00-04:00 2023-09-26T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Conference / Symposium AI for Medical Imaging cover image
MPSDS JPSM Seminar Series - Everything You Need to Know When Utilizing Probability Panels: Best Practices in Planning, Fielding, and Analysis (September 27, 2023 12:00pm) https://events.umich.edu/event/112696 112696-21829462@events.umich.edu Event Begins: Wednesday, September 27, 2023 12:00pm
Location: Off Campus Location
Organized By: Michigan Program in Survey and Data Science

MPSDS SEMINAR SERIES
September 27, 2023
12:00 - 1:00 pm

IN PERSON AND VIA ZOOM
- In person, room 1070 Institute for Social Research.
- Via Zoom. The Zoom call will be locked 10 minutes after the start of the presentation.

EVERYTHING YOU NEED TO KNOW WHEN UTILIZING PROBABILITY PANELS: BEST PRACTICES IN PLANNING, FIELDING, AND ANALYSIS

Speakers: David Dutwin & Ipek Bilgen

Probability-based panel survey research is more widespread than ever, as the continuing decline in survey response rates makes cross-sectional sample surveys less and less accessible both in terms of fit for purpose data quality and cost. The attraction of probability panels for surveys is their ability to attain, dependent upon their recruiting methods, comparable response rates to cross-section polls, but at a lower cost and more expeditious execution. Panels are a unique type of survey research platform: Unlike cross-sections, panels recruit respondents specifically for future participation in surveys. In return, panelists are financially compensated, typically to join the panel in the first place, and then secondarily for each survey in which they participate.

These differences to cross-sectional surveys have a range of potential implications. How does the method and effort of recruiting impact who joins, and as a consequence what is best practice? What do panels do to retain panelists over time and which strategies are more successful than others? How much of a concern is panel conditioning, that is, the impact of persons repetitively taking surveys over time, and what are the implications for how frequently panelists should take surveys? How do panels, which exclusively request that panelists take surveys on the Internet, deal with people who do not have or are not comfortable using the Internet? What is the impact of panelist attrition and what are best efforts to replenish retired panelists? How successful are panels are executing true longitudinal surveys? And, given the additional layers of complexity, how are panel surveys properly weighted and estimated?

This seminar is meant to serve two purposes. First, it will serve as a guide for consumers of probability-based panels to understand what, in short, they are working with: What questions to ask and what features to understand about probability panels in evaluating their use for data collections, and how to best use probability-based panel data. Second, it will serve as an exploration of best practices for the practitioners of surveys: Raising issues of data quality, cost, and execution.

Learning Objectives:

1. For consumers of panel data: Understanding the features of panels with which to be knowledgeable; to know the important questions to ask panel vendors when assessing their fit for purpose of your research.
2. For researchers and practitioners: To understand the many dimensions and decision points in the building, maintenance, deployment, and delivery of multi-client panels and panel data.

Bios:

David Dutwin, PhD, is Senior Vice President for Strategic Initiatives, Business Ventures and Initiatives and Chief Scientist of AmeriSpeak at NORC at the University of Chicago. David provides scientific and programmatic thought leadership in support of NORC’s ongoing innovations. In addition to identifying new business opportunities, he lends expertise on research design conceptualization, methodological innovation, and product development. He leads the panel operations and the statistics and methods divisions of AmeriSpeak. David assists in NORC strategic vision and strategy, project acquisition and management of advance research methods. Prior research has focused on election methodology, surveying of low-incidence populations, the use of big data in survey research, and data quality in survey panels. He is a senior fellow of the Program for Opinion Research and Election Studies at the University of Pennsylvania. An avid member of the AAPOR community, David served as president from 2018-2019. He previously served on AAPOR’s Executive Council as conference chair and has served full terms on several committees. For over twenty years, he has taught courses in survey research and design, political polling, research methods, rhetorical theory, media effects, and other courses as an adjunct professor at the University of Pennsylvania, the University of Arizona, and West Chester University.

Ipek Bilgen, PhD, is a Principal Research Methodologist in the Methodology and Quantitative Social Sciences Department at NORC at the University of Chicago. Ipek is the Deputy Director of NORC’s Center for Panel Survey Sciences. Additionally, she oversees AmeriSpeak’s methodological research and innovations. As part of her role within AmeriSpeak, she also provides survey design expertise, questionnaire development and review support, and leads cognitive interview and usability testing efforts for client studies. Ipek received both her Ph.D. and M.S. from the Survey Research and Methodology (SRAM) Program at the University of Nebraska-Lincoln. She has published and co-authored articles in Journal of Official Statistics, Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Survey Practice, Social Currents, Social Science Computer Review, Field Methods, Journal of Quantitative Methods, SAGE Research Methods, and Quality and Quantity on issues related to interviewing methodology, web surveys, online panels, internet sampling and recruitment approaches, nonresponse and measurement issues in surveys. In the past, she has served on AAPOR’s and MAPOR’s Executive Councils. Ipek is currently teaching at the Irving B. Harris Graduate School of Public Policy Studies at the University of Chicago and serving as Associate Editor of Public Opinion Quarterly (POQ).

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Lecture / Discussion Tue, 19 Sep 2023 15:29:30 -0400 2023-09-27T12:00:00-04:00 2023-09-27T13:00:00-04:00 Off Campus Location Michigan Program in Survey and Data Science Lecture / Discussion Flyer
LHS Collaboratory (October 18, 2023 11:30am) https://events.umich.edu/event/112750 112750-21829504@events.umich.edu Event Begins: Wednesday, October 18, 2023 11:30am
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

Speaker:
Ewout W. Steyerberg, PhD
Professor of Clinical Biostatistics & Medical Decision Making, Chair, Dept of Biomedical Data Sciences
Leiden University Medical Center, The Netherlands

Clinical prediction models aim to predict a person’s risk of an outcome (e.g. complications, mortality) given their observed characteristics (1). Risk predictions are traditionally derived from regression models. Artificial Intelligence, and specifically Machine Learning methods, are gaining interest to develop predictive algorithms. Predictions from classic models or AI algorithms need to be reliable to provide valid support for tasks such as shared decision making and whether a person should initiate a particular treatment.
The aim of this talk is to review recent developments in prediction model development and validation. Illustrations will be provided from different medical applications. Trustworthiness will be discussed in relation to the statistical aspects -such as sample size and the exceptionality of patients-, model uncertainty, and heterogeneity between contexts of practical application.

References
1. Steyerberg EW. Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. 2nd ed. Springer International Publishing; 2019. (Statistics for Biology and Health). Available from: https://www.springer.com/gp/book/9783030163983

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Lecture / Discussion Tue, 19 Sep 2023 21:08:38 -0400 2023-10-18T11:30:00-04:00 2023-10-18T13:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Leveraging Tissue-Microwave Interactions for Future Applications in Smart Medicine and Smart Agriculture (November 28, 2023 3:30pm) https://events.umich.edu/event/115555 115555-21835009@events.umich.edu Event Begins: Tuesday, November 28, 2023 3:30pm
Location: Lurie Robert H. Engin. Ctr
Organized By: Electrical and Computer Engineering

Innovations that leverage the interactions of electromagnetic waves with human and plant tissue are at the heart of an array of both diagnostic and therapeutic applications in medicine, and short-range remote sensing applications in agriculture. In this talk, I will highlight the multi-physics wave-matter interactions between electromagnetic – and related thermal and acoustic – energies and biological tissues, along with two recent advances in microwave technologies, namely microwave theranostics for image-guide thermal ablation of tumors and backscatter-based microwave sensing of cranberry crop yield, that have the potential to transform smart medicine and smart agriculture of the future.

Bio

Susan C. Hagness received the B.S. and Ph.D. degrees in electrical engineering from Northwestern University. She is the Philip D. Reed Professor and Chair of the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. She previously served as the Associate Dean for Research in the College of Engineering and has held a variety of advisory board appointments and leadership roles within the IEEE, the U.S. National Committee of the International Union of Radio Science, the ASEE Engineering Research Council, and ECEDHA. She has co-authored more than 110 journal papers, eight book chapters, and two editions (with Allen Taflove) of a widely adopted textbook on the finite-difference time-domain method in computational electromagnetics. Recognitions for her holistic approach to teaching and mentoring and for her research in computational and experimental applied electromagnetics include the Presidential Early Career Award for Scientists and Engineers (2000), IEEE Engineering in Medicine and Biology Society Early Career Achievement Award (2004), URSI Issac Koga Gold Medal (2005), IEEE Trans. Biomedical Engineering Outstanding Paper Award (2007), IEEE Education Society Van Valkenburg Early Career Teaching Award (2007), Physics in Medicine and Biology Citations Prize (2011), UW-Madison Women Faculty Mentoring Program Slesinger Award for Excellence in Mentoring (2017), and College of Engineering awards for excellence in teaching (2014), research (2018), and equity and diversity efforts (2021). She is a Fellow of the IEEE, AAAS, AIMBE, and NAI.

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Lecture / Discussion Tue, 28 Nov 2023 09:55:48 -0500 2023-11-28T15:30:00-05:00 2023-11-28T16:30:00-05:00 Lurie Robert H. Engin. Ctr Electrical and Computer Engineering Lecture / Discussion Susan Hagness