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Upcoming Events

Other Event | Student Event

Power Hungry: A Discussion about AI’s Energy Usage and the Environment

4:00pm – 5:30pm in 2024 Dana Natural Resources Building

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Dissertation Defense

Towards Enhanced Human-AI Interaction: A Holistic Approach to Personalization in Natural Language Processing

Christopher Clarke

6:00pm – 8:00pm in 3725 Beyster Building

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Student Event | Division Event

CSE Declaration Celebration: T-shirt Pick Up

11:00am – 1:00pm in 4941 Beyster Building

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Faculty Candidate Seminar

Introduction to Classes and Objects in Python

Liia Butler, Ph.D. Candidate, University of Illinois Urbana-Champaign

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

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Benchmarking LLMs’ Judgments with No Gold Standard

Grant Schoenebeck, Associate Professor, School of Information, University of Michigan

4:00pm – 5:00pm

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Friday Night AI

Friday Night AI: AI vs. The Flu: Can Technology Predict and Prevent Epidemics?

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

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Praneeth Vepakomma Seminar

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

4:00pm – 5:00pm

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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

4:00pm – 5:00pm in 1311 EECS Building

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Past Events

Student Event | Division Event

CSE Declaration Celebration: T-shirt Pick Up

Faculty Candidate Seminar

Bloom Filters and MinHash: Two Probabilistic Data Structures

Kel Levick, Ph.D. Candidate, University of Illinois Urbana-Champaign

President’s Postdoctoral Fellowship Program Prospective Candidate

Designing for control and alignment in personal data tools

Yasaman Sefidgar, Ph.D. Candidate, University of Washington

Small Hybrid Language Model

Shizhe Diao, Research Scientist, NVIDIA Research

Dissertation Defense

Assisting Cloud System Development with Automated Insight Generation

HCC Lab Seminar

Personalized Ubiquitous Computing through Predictive Behavior Modeling

Afsaneh Doryab, Assistant Professor of Computer Science and Systems Engineering, University of Virginia

Leveraging AI to Address Poverty-related Issues

Women in Computing

Interpretability and Adaptation of Language Models

Ndapa Nakashole, Associate Professor of Computer Science, University of California, San Diego

AI: The Good, the Bad, and the Ugly

Faculty Candidate Seminar

kNNs and Hyperparameter Optimization

Henry Chai, Assistant Teaching Professor, Carnegie Mellon University

Coin Toss: Game-Theoretic Fairness and Privacy.

Dissertation Defense

Exploring Intersectionality in Responsible Data Management

Transfer Student Reboot

William Gould Dow Distinguished Lecture

Post-Quantum Cryptography in Context

Whitfield Diffie, Honorary Fellow, Gonville and Caius College in Cambridge

Turán-type Problems and Graph Sparsification

Women in Computing

Algorithms of Suspicion: Quasi-criminalization and the erosion of worker data rights

Lilly Irani, Associate Professor, Communication & Science Studies, University of California, San Diego

Dissertation Defense

Improving Graph Representation Learning with Augmentations, Uncertainty Quantification and Large Language Model Guidance

Real Ethics for Artificial Agents

Faculty Candidate Seminar

Why reinvent the wheel? A lecture on software engineering with reuse

Tobias Duerschmid, Ph.D. Candidate, Carnegie Mellon University

Rate vs. Distance – Milestones and Obstacles Towards Improved Bounds

Elyassaf Loyfer

Faculty Candidate Seminar

Teaching Demonstration: An Introduction to Register-Transfer-Level Design Decomposition

Travis Doom, Associate Dean and Professor of Computer Science and Engineering, Wright State University

Web Agents: A New Frontier for Embodied Agents

Yu Su, Assistant Professor of Engineering Inclusive Excellence at the Department of Computer Science and Engineering, Ohio State University

The Next Big Thing in A.I.

Building a Unicorn Startup and Accelerating Innovation with AI Physics

Joris Poort, CEO & Founder, Rescale

Testing Assumptions of Learning Algorithms

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