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Upcoming Events

MIDAS AI in Science and Engineering Symposium

9:00am – 5:45pm in Michigan League

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2025 AI in Science and Engineering Symposium

9:00am – 5:45pm

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Dissertation Defense

Increasing The Practicality Of Verification Using Incomplete Solutions

10:00am – 12:00pm in 3941 Beyster Building

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Faculty Candidate Seminar

Privacy, Copyright, and Data Integrity: The Cascading Implications of Generative AI

Niloofar Mireshghallah, Postdoc, University of Washington

10:30am – 11:30am in 3725 Beyster Building

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AI Lab Events | AI Seminar | Natural Language Processing Seminar

Executable and Trustworthy Planning with Large Language Models

Li (Harry) Zhang, Assistant Professor, Drexel University

12:00pm – 1:00pm in 3725 Beyster Building

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Dissertation Defense

Algorithm-Hardware Co-design For Efficiency Optimization Of Machine Learning Workloads

1:00pm – 3:00pm in 3941 Beyster Building

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MIDAS AI in Science and Engineering Symposium

9:00am – 5:30pm in Michigan League

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2025 AI in Science and Engineering Symposium

9:00am – 5:45pm

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Faculty Candidate Seminar

Multisensory Dexterity for Robotics

Haozhi Qi, Ph.D. Candidate, University of California, Berkeley

10:30am – 11:30am in 3725 Beyster Building

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Optimizing for Long-Term Vision in a Fast-Paced Research World

Yulia Tsvetkov, Associate Professor, Paul G. Allen Center for Computer Science & Engineering, University of Washington

9:30am – 10:50am in Stamps Auditorium, Walgreen Drama Center

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Dissertation Defense

Leveraging Data Semantics for Relational Data Management Tasks

10:00am – 12:00pm in 3901 Beyster Building

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Enabling the next generation of post-secondary CS teachers

Justin Hsia, Associate Teaching Professor, Paul G. Allen School of Computer Science & Engineering at the University of Washington

12:00pm – 1:00pm in 3725 Beyster Building

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Marshall M. Weinberg Symposium

What Do Large Language Models Tell Us About Human Language?

Richard Futrell, Associate Professor in Language Science,
University of California, Irvine

Jordan Kodner, Assistant Professor of Linguistics,
Stony Brook University

Ellie Pavlick, Associate Professor of Computer Science, Cognitive Science, and Linguistics,
Brown University

1:00pm – 6:00pm in Michigan League Ballroom

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Data-Driven Democracy Hackathon

10:00am – 7:00pm in Jeff T. Blau Hall – B1570

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Faculty Candidate Seminar

Performance Interfaces for Systems Software and Hardware

Rishabh Iyer, Postdoc, University of California, Berkeley

9:00am – 10:00am in 3725 Beyster Building

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Faculty Candidate Seminar

Sublinear Algorithms and Quantum Computing

John Kallaugher, Senior Member of Technical Staff , Sandia National Laboratories

10:30am – 11:30am in 3725 Beyster Building

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Dissertation Defense

Unfairness Detection and Evaluation in Data-driven Decision-making Algorithms

12:00pm – 2:00pm in 3316 EECS

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Faculty Candidate Seminar

Neural Operator for Scientific Computing

Zongyi Li, Ph.D. Candidate, CalTech

10:30am – 11:30am in 3725 Beyster Building

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Faculty Candidate Seminar

Security & Privacy through Programmable Cryptography, Compilers, and Verification

Alex Ozdemir, Ph.D. Candidate, Stanford University

9:00am – 10:00am in 3725 Beyster Building

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Faculty Candidate Seminar

Aligning AI Agents with an Ideal

Silviu Pitis, Ph.D. Candidate, University of Toronto

10:30am – 11:30am in 3725 Beyster Building

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Dissertation Defense

Usable and Ubiquitous Privacy-Aware Sensing Devices

Yasha Iravantchi

4:00pm – 6:00pm in 3725 Beyster Building

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Ruben Villegas Guest Lecture

9:30am – 10:30am

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Faculty Candidate Seminar

Developing Responsible AI Monitoring Technologies for Chronic Care

Daniel Adler, Ph.D. Candidate, Cornell University

10:30am – 11:30am in 3725 Beyster Building

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Milind Tambe Guest Lecture

9:30am – 10:30am

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William Gould Dow Distinguished Lecture

Implications of Our Dependence on a Digital Ecosystem

Vinton G. Cerf, Vice President and Chief Evangelist, Google

1:30pm – 2:30pm in Chesebrough Auditorium, Chrysler Center | Hybrid (In-person and Remote)

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Past Events

Faculty Candidate Seminar

Building the Tools to Program a Quantum Computer

Charles Yuan, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

From Agents to Optimization: User Interface Understanding and Generation

Jason Wu, Research Scientist, Apple

AI Lab Events | AI Seminar

The Computational Gauntlet of Human-Like Learning

Pat Langley, Director, Institute for the Study of Learning and Expertise; Research Scientist, Stanford Center for Design Research, Stanford University

AI Lab Events | Friday Night AI

Friday Night AI: Listening to the Wild: Can AI Help Us Understand Animal Communication?

Dissertation Defense

Streaming Sketching: Mathematical Theory and Practical Algorithms

Dissertation Defense

Tool-Use Robot Manipulation Tasks for Cooperative and Explainable Operations in Safety-Critical Domains

Faculty Candidate Seminar

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Jiayuan Mao, Ph.D. Candidate, Massachusetts Institute of Technology

AI Careers and Research Panel

AI Lab Events | NLP Day

NLP @ Michigan Day

Startup Talk by Pursuit Cofounder + Internship Opportunities

Mike Vichich, Cofounder and CEO, Pursuit

Faculty Candidate Seminar

Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines

Mark Zhao, Ph.D. Candidate, Stanford University

Can AI Be Conscious, and Why Does It Matter?

Faculty Candidate Seminar

Understanding and Enhancing Deep Neural Networks with Automated Interpretability

Tamar Rott Shaham, Postdoc, Massachusetts Institute of Technology

Probabilistic Meta-Complexity

Igor Carboni Oliveira, Associate Professor, University of Warwick

Faculty Candidate Seminar

Teaching Demonstration: What Should I Test? How to Think About and Select Test Inputs

James Perretta, Ph.D. Candidate, Northeastern University

Faculty Candidate Seminar

Learning to Perceive the 4D World

Qianqian Wang, Postdoc, University of California, Berkeley

Faculty Candidate Seminar

Where can quantum computers outperform classical computers?

Bobak Kiani, Postdoc, Harvard University

AI Lab Events | AI Workshop | e-HAIL Event

AI & Aging: Innovations & Challenges for Global Health: an e-HAIL in-person conversation (a joint event with the AI Lab)

Josh Ehrlich, MD, MPH, Assistant Professor, Ophthalmology and Visual Sciences

Robin Brewer, PhD, Assistant Professor, School of Information

Faculty Candidate Seminar

Generative Computer Vision for the Physical World

Ruoshi Liu, Ph.D. Candidate, Columbia University

Faculty Candidate Seminar

Adventures in Feature Space: Vector Similarity Measures for Machine Learning

Elle O’Brien, Lec IV, University of Michigan School of Information

Understanding Digital Literacy for Job Search for Formerly Incarcerated Individuals

Ihudiya Finda Williams, Assistant Professor, Computer Science, Virginia Tech

Understanding LLMs: How They Function and How They Have Changed

Sebastian Raschka, LLM Research Engineer, Lightning AI

Communications and Signal Processing Seminar

Mixed Reality Security and Streaming at the System and Application Levels

Jiasi Chen, Associate Professor, Electrical Engineering and Computer Science, University of Michigan

Faculty Candidate Seminar

Steering Machine Learning Ecosystems of Interacting Agents

Meena Jagadeesan, Ph.D. Candidate, University of California, Berkeley

Harnessing collaborative intelligence in the Post-LLM world

Praneeth Vepakomma, Assistant Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

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