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All Seminars

AI Seminar: Benjamin Kuipers – AI, Ethics, Trust, Cooperation & Society

Benjamin Kuipers, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

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Faculty Candidate Seminar

Prediction, Causality and the Great In-between

Maggie Makar, Presidential Postdoc, University of Michigan

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

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How (Not) to Run a Forecasting Competition: Incentives and Efficiency

Rafael Frongillo, Assistant Professor, University of Colorado Boulder

9:00am – 10:30am in 3725 Beyster Building

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AI Seminar: Con Slobodchikoff – Decoding Animal Languages: Possibilities and Challenges

Con Slobodchikoff, Professor Emeritus, Department of Biological Sciences, Northern Arizona University

4:00pm – 5:00pm in 3725 Beyster Building

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Sorrachai Yingchareonthawornchai

Sorrachai Yingchareonthawornchai

3:00pm – 4:00pm in 3725 Beyster Building

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Michigan AI Symposium – AI & Accessibility

10:00am – 4:00pm in 1670 Beyster Building

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AI Seminar: David Jurgens

David Jurgens, Assistant Professor, School of Information, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

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AI Seminar: Iryna Gurevich – Comment – Link – Revise: Towards a General Framework for Modelling Interconnected Texts

Iryna Gurevich, Professor, Computer Science, Technische Universität Darmstadt, Germany

12:00pm – 1:00pm in Remote/Virtual

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3:00pm – 4:00pm in 3725 Beyster Building

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AI Seminar: Stella Yu

Stella Yu, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:00pm in 3725 Beyster Building

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AI Seminar: Bryan Pardo

Bryan Pardo, Professor, Computer Science and Radio, Television, and Film, Northwestern University

4:00pm – 5:00pm in 3725 Beyster Building

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AI Seminar: Angela Zhou

Angela Zhou, Assistant Professor, Data Sciences and Operations, University of Southern California

4:00pm – 5:00pm in 3725 Beyster Building

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AI Seminar: Cynthia Rudin

Cynthia Rudin, Professor, Computer Science and Engineering, Duke University

4:00pm – 5:00pm

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Past Seminars

Zeyu Guo: Fast Multivariate Multipoint Evaluation over All Finite Fields

3:00pm – 4:00pm in 3725 Beyster Building

AI Seminar: Rada Mihalcea – The Ups and Downs of Word Embeddings

Rada Mihacea, Professor, Computer Science and Engineering, University of Michigan

4:00pm – 5:30pm in 3725 Beyster Building

Friday Night AI | “The school year has just started. Can AI help?”

6:30pm – 7:30pm in Ann Arbor District Library, Downtown

Other Event | Alumni

A conversation with Aftin Ross

Aftin Ross, Senior Special Advisor for Emerging Initiatives, Center for Devices and Radiological Health, US Food and Drug Administration

3:30pm – 5:30pm in 1130 BME

Fernando Granha Jeronimo: Almost Ramanujan Expanders from Arbitrary Expanders via Operator Amplification

Fernando Granha Jeronimo

3:00pm – 4:00pm in 3725 Beyster Building

Distinguished Lecture | Alumni

The Story Behind Intel Virtualization Technology (VT)

Rich Uhlig, Intel Senior Fellow and Corporate VP, Intel Labs

10:00am – 11:00am in 1670 Beyster Building

Interactive Systems Seminar | Alumni | Division Event

LEAP 10 Years Post-Ph.D.: Lessons, Experiences, and Action Planning

Kyla McMullen, Associate Professor, Computer & Information Sciences & Engineering Department, University of Florida

3:00pm – 4:00pm in 3725 Beyster Building

Haotian Jiang: Minimizing Convex Functions with Integral/Rational Minimizers

3:00pm – 4:00pm in 3725 Beyster Building

Faculty Candidate Seminar

Faster, smarter, and greener systems for data-center scale AI

Udit Gupta, Ph.D. Candidate, Harvard University

10:30am – 11:30am in Remote/Virtual

Mitali Bafna: Playing Unique Games on Certifiable Small-Set Expanders and High-Dimensional Expanders

3:00pm – 4:00pm in 3725 Beyster Building

Parth Mittal: Brooks’ Theorem in Graph Streams

3:00pm – 4:00pm

Scalable and Provably Robust Algorithms for Machine Learning

Yu Cheng, Assistant Professor, University of Illinois Chicago

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

Responsible Design of Information Access Systems

Fernando Diaz, Research Scientist, Google

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

Faculty Candidate Seminar

Learning to Generate Data by Estimating Gradients of the Data Distribution

Yang Song, Ph.D. Candidate, Stanford University

10:30am – 11:30am in Remote/Virtual

Huacheng Yu: TBD

3:00pm – 4:00pm in 3725 Beyster Building

Faculty Candidate Seminar

Beyond ISAs: Striking a Balance between Generality and Specialization for AI/ML

Divya Mahajan, Senior Researcher, Microsoft

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

Fighting Vulnerabilities With Process, Insight, and Automation

Zhiyun Qian, Associate Professor, University of California, Riverside

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

Max Hopkins: Hypercontractivity on High Dimensional Expanders: a Local-to-Global Approach for Higher Moments

3:00pm – 4:00pm in 3725 Beyster Building

Faculty Candidate Seminar

Unleashing the Potential of In-Network Computing

Daehyeok Kim, Senior Researcher, Microsoft

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

Computer Engineering Seminar

Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms

Sharad Malik, Professor, Princeton University

12:30pm – 1:30pm in 3725 Beyster Building

Faculty Candidate Seminar

Towards a Foundation for Reinforcement Learning

Ruosong Wang, Ph.D. Candidate, Carnegie Mellon University

10:30am – 11:30am in Remote/Virtual

Ryan Williams: Constructive Separations and Their Consequences

Ryan Williams, Prof., MIT

3:00pm – 4:00pm in 3725 Beyster Building

Faculty Candidate Seminar

Machine Learning Powered Query Optimization

Ryan Marcus, Postdoc, MIT

10:30am – 11:30am in Remote/Virtual

Faculty Candidate Seminar

Optimizing CPU Efficiency and Tail Latency in Datacenters

Amy Ousterhout, Postdoc, University of California, Berkeley

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

Faculty Candidate Seminar

Formal Verification of a Concurrent File System

Tej Chajed, Ph.D. Candidate, MIT

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

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