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Events for 2024

Dissertation Defense

Exploring In-Context Reinforcement Learning

New Approximation Bounds for Small-Set Vertex Expansion

Suprovat Ghoshal, Northwestern / TTIC

Dissertation Defense

Systems and Debugging Supports for Hardware Designs

Code Representation Learning at Scale

Dejiao Zhang, Senior Applied Scientist, AWS AI Labs

Strategic Reasoning in Machine Learning, with Implications for Security and Fairness

Yevgeniy Vorobeychik, Professor of Computer Science & Engineering, Washington University in St. Louis.

Dissertation Defense

Artificial Intelligence Algorithms for Large Economic and Computer Games

Dissertation Defense

Towards Query Processing in Video Database Management Systems

Faculty Candidate Seminar

An Introduction to Inheritance in Java

Scott Dexter, Professor of Computer Science, Alma College

Dissertation Defense

Learning Visual Representations from Cross-Modal Correspondence

Mohamed El Banani

Dissertation Defense

Language Supervision for Computer Vision

Realizing AI for Impact: Uncertainty and Human-Agent Collaboration in Multi-Agent Systems for Public Health and Conservation

Elizabeth Bondi-Kelly, Assistant Professor, Computer Science and Engineering, University of Michigan

Faculty Candidate Seminar

Sub-cent Processors, Earable Computers, and Space Microdatacenters: Novel Computer Systems for Truly Ubiquitous Computing

Nathaniel Bleier, Ph.D. Candidate, University of Illinois Urbana-Champaign

New techniques for convex optimization and sparsification

Arun Jambulapati, University of Michigan

Friday Night AI: “Consciousness, Intelligence, and Theory of Mind in Generative AI”

Faculty Candidate Seminar

Content Moderation in Social Media: The Steel Armor of Social Media

Mohit Singhal, Ph.D. Candidate, University of Texas at Arlington

Faculty Candidate Seminar

Catch M(oor)e If You Can: Agile Hardware/Software Co-Design for Hyperscale Cloud Systems

Sagar Karandikar, Ph.D. Candidate, University of California, Berkeley

Fast, Flexible, and Intelligent Next-Generation Networks

Muhammad Shahbaz, Assistant Professor, Purdue University

Faculty Candidate Seminar

Accessible Foundation Models: Systems, Algorithms, and Science

Tim Dettmers, Ph.D. Candidate, University of Washington

What is a line of “best” fit? A framework for building predictive models

Suraj Rampure, Lecturer, University of California San Diego

Faculty Candidate Seminar

Impacting the future one failure at a time

Krisztian Flautner, CEO, Banzai Cloud; Director of Strategy, Cisco; Intermittent Lecturer, University of Michigan; President, Utopian LLC; Former VP Research & Development, ARM

From Autonomy to Synergy: Envisioning Next Generation Human-AI Partnerships

Sidney D’Mello, Professor, Institute of Cognitive Science & Department of Computer Science, University of Colorado Boulder

Using Large Language Models to Understand Human Cognition

Sean S Trott, Assistant Professor, University of California, San Diego

Faculty Candidate Seminar

Hardware-Aware Efficient Primitives for Machine Learning

Dan Fu, Ph.D. Candidate, Stanford University

We love being a professor. So would YOU!

Faculty Candidate Seminar

Modern Clouds: Side-Channel Attacks and Defenses

Neil Zhao, Ph.D. Candidate, University of Illinois Urbana-Champaign

Faculty Candidate Seminar

The Binomial Theorem

Jesse Stern, Ph.D. Candidate, University of Chicago

Technology Meets Creativity: A Workshop on AI and Creative Arts

Towards a Science of Human-AI Decision Making: Empirical Understandings, Computational Models, and Intervention Designs

Ming Yin, Assistant Professor, Computer Science, Purdue University

Faculty Candidate Seminar

Designing efficient and scalable cache management systems

Juncheng Yang, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Understanding Language Models through Discovery and by Design

John Hewitt, Ph.D. Candidate, Stanford University

Recent progresses on Correlation Clustering

Euiwoong Lee, University of Michigan

Distinguished Lecture

An AI stack: from cloud orchestration to LLM evaluation

Ion Stoica, Professor, Electrical Engineering and Computer Science, University of California – Berkeley

Reimaging the Cloud: Data-Centric Multi-Acceleration at Scale

Mohammad Alian, Assistant Professor, University of Kansas

Algorithms for Designing Randomized Controlled Trials and for Solving Structured Linear Equations

Peng Zhang, Assistant Professor, Rutgers University

Faculty Candidate Seminar

Causal Inference for Robust, Reliable, and Responsible NLP

Zhijing Jin, Ph.D. Candidate, Max Planck Institute & ETH Zurich

Faculty Candidate Seminar

Data Privacy in the Decentralized Era

Amrita Chowdhury, Postdoc, University of California, San Diego

Exact Emulators for Planar Graphs

George Li, University of Maryland

MIDAS Symposium | The AI in Science and Engineering annual symposium

From Pixels to Measurements: Understanding the Dynamic World

Adam Harley, Postdoc, Stanford University

MIDAS Symposium | The AI in Science and Engineering annual symposium

The Synergistic Collaboration of Heterogeneity in Sensing and Communication for Ubiquitous Intelligence

Ruofeng Liu, Research Scientist, Robert Bosch LLC

Faculty Candidate Seminar

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

Weiyang Liu, Ph.D. Candidate, Max Planck Institute

Other Seminar | Quantum Science Seminar

Quantum Research Institute Seminar | Demonstration of algorithmic quantum speedup

Daniel Lidar, USC, Viterbi Professor of Engineering, USC

Disability Visibility Symposium Part I

Faculty Candidate Seminar

Building Planetary-Scale Collaborative Intelligence

Sai Praneeth Karimireddy, Postdoc, University of California, Berkeley

On Building General-Purpose Home Robots

Lerrel Pinto, Assistant Professor, Computer Science, New York University

Faculty Candidate Seminar

Finding Shortest Paths in the Real World

Kshitij Gajjar, Assistant Professor, Indian Institute of Technology Hyderabad

LHS Collaboratory Seminar

Ethical AI in Healthcare

Jodyn E Platt, MPH, PhD, Associate Professor of Learning Health Sciences, University of Michigan

Faculty Candidate Seminar

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Ke Sun, Ph.D. Candidate, University of California, San Diego

Artificial Intelligence in the age of ChatGPT

Towards 4D Reconstruction in the Wild

Gengshan Yang, Research Scientist, Meta

Disability Visibility Symposium Part II

Unlocking musical creativity with generative AI

Chris Donahue, Assistant Professor, Carnegie Mellon University

SciFM24 Conference

Connecting the Dots Between AI Ethics & Sustainability

Sasha Luccioni, Hugging Face

SciFM24 Conference

Leveraging Formal Methods for Trustworthy AI-assisted Software Development

Sarah Fakhoury, Postdoctoral Researcher, Microsoft Research, Redmond

Faculty Candidate Seminar

Intelligent Textiles for Physical Interactions

Yiyue Luo, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

Towards Principled Sequential Decision-Making

Qinghua Liu, Ph.D. Candidate, Princeton University

Security Protection for the Cyber-physical World

Ning Zhang, Assistant Professor, Washington University St. Louis

On the Existence of Seedless Condensers: Exploring the Terrain

Mohit Gurumukhani, Cornell University

Annual Ethical AI Symposium 2024

Faculty Candidate Seminar

Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications

Zhijian Liu, Ph.D. Candidate, Massachusetts Institute of Technology

The AI Bill of Rights and the Future of Technology Policy

Alondra Nelson, Harold F. Linder Professor, Institute for Advanced Study

Faculty Candidate Seminar

Learning from Interaction

Kiante Brantley, Postdoc, Cornell University

Faculty Candidate Seminar

Circular Interactive Material: making ubiquitous computing more scalable and sustainable

Tingyu Cheng, Ph.D. Candidate, Georgia Institute of Technology

An Almost Logarithmic Approximation for Cutwidth

Nikhil Bansal, University of Michigan

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Faculty Candidate Seminar

Programmable Software Systems for Correct High-performance Applications

Konstantinos Kallas, Ph.D. Candidate, University of Pennsylvania

Natural Language Processing Seminar

MSLD | Midwest Speech & Language Days

Paths in Computing Panel

Women in Computing Panel

Faculty Candidate Seminar

Generalizing Beyond the Training Distribution through Compositional Generation

Yilun Du, Ph.D. Candidate, Massachusetts Institute of Technology

Dissertation Defense

Improving Select Applications of Long-Read DNA Sequencing

Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Samuel Marks, Postdoctoral Researcher, Northeastern University

{Featured Event} AI National Security Policy

Dissertation Defense

Enabling Direct Bluetooth-WiFi Communications

Dissertation Defense

Understanding understanding: How do we reason about computational logic?

Dissertation Defense

Hardware-Software Co-design for Reliable and Efficient Heterogeneous Systems

Dissertation Defense

Global and Longitudinal Investigation of Network Connection Tampering

Ramakrishnan Sundara Raman

What our words say about us | 2024 Katz-Newcomb Social Psychology Annual Lecture

James Pennebaker, Ph.D., Professor Emeritus of Psychology, University of Texas at Austin

Dissertation Defense

A Strategic Agent-Based Analysis of Economic and Technological Changes in Financial Networks

Dissertation Defense

Machine Learning Approaches for Quantitative Analysis and Characterization of Pathological Speech Disorders

Dissertation Defense

Learning Representations for Efficient Exploration and Goal-Conditioned Reinforcement Learning

Dissertation Defense

Towards Clinically Applicable Reinforcement Learning

Dissertation Defense

Characterizing and Improving Next-Generation Network Infrastructures and Applications

Dissertation Defense

Towards Video Understanding through Language in Real-life Settings

Santiago Castro

Dissertation Defense

Advancing Graph Neural Networks for Complex Data: A Perspective Beyond Homophily

Dissertation Defense

Transforming Disfluency Detection: Integrating Large Language and Acoustic Models

Dissertation Defense

Predicting the Timing of Clinical Outcomes in the Presence of Multiple Events and Noisy Labels

Evolutionary Design for Electronic Design Automation

Professor Lukas Sekanina, Faculty of Information Technology, Brno University of Technology, CZ

Friday Night AI: “AI and the Future of Creative Expressions”

Scalable Real-time Abnormal Event Detection

Radu Ionescu, University of Bucharest

Computer Engineering Seminar

Let’s Go Sparse: Towards Sparse-Aware Computing System Design

Christina Giannoula, Postdoctoral Researcher, University of Toronto

Dissertation Defense

Optimizing Graph Applications Through Graph Sparsification and Accelerator Design

Dissertation Defense

Interpretability, Controllability, and Expressivity in the Age of Language Models

Alumni | Cultural | Student Event

EECS Juneteenth Celebration: Celebrating Excellence in People-First Engineering and Computing

Shawn Blanton , Joseph F. and Nancy Keithley Professor of Electrical and Computer Engineering,
Carnegie Mellon University

James Mickens, Gordon McKay Professor of Computer Science,
Harvard School of Engineering & Applied Sciences

Systems Seminar – CSE

Agnostic, Post-Training Backdoor Defense for Deep Learning

George Kesidis, Professor, Electrical Engineering and Computer Science, Pennsylvania State University

Dissertation Defense

Quality of Service for Performance-Critical Cloud Applications

Dissertation Defense

Enabling Robot Arm Motion with Multiple Objectives Through Agent Representation and Reasoning

Elizabeth Goeddel

Dissertation Defense

Three Lenses on Improving Programmer Productivity: From Anecdote to Evidence

Madeline Endres

Dissertation Defense

Learning to Interact with the 3D World

Dissertation Defense

Reconstructing Full 3D Geometry and Interaction Dynamics from Real World data

Nilesh Kulkarni

Dissertation Defense

Combating Randomness: Towards Efficient Data-Intensive Applications Using Software-Hardware Co-Design

Dissertation Defense

Coherent Physical Commonsense Reasoning in Foundational Language Models

Dissertation Defense

Novel Sensing Approach for Shoulder Kinematics – Exploring Kirigami-Inspired Sensing and Machine Learning Platforms for At-Home Joint Monitoring

Amani Alkayyali

Generative AI: From Theory to Scientific Applications

MIDAS mini-symposium

AI Lab Idea Snippets

Alvaro Vega Hidalgo,
University of Michigan

Mahzad Khoshlessan,
University of Michigan

Siyang Liu,
University of Michigan

Martin Ziqiao Ma,
University of Michigan

Trenton Chang,
University of Michigan

Jie Ruan,
University of Michigan

2024 e-HAIL Symposium – Generative AI in Healthcare

Optimal Memory Allocation: The Dos and Don’ts of Request Fragmentation

Nicole Wein, University of Michigan

Alumni | Distinguished Lecture | Division Event

The Waymo Way: Making Autonomous Driving a Reality

Dmitri Dolgov, Co-Chief Executive Officer, Waymo

The Future is Hear: Innovations from the Interactive Audio Lab

Bryan Pardo, Professor of Computer Science, Northwestern University

Computer Engineering Seminar | Distinguished Lecture

Innovating at the Intersection of Architecture and Emerging Workload Paradigms

Ravi Iyer, Intel Fellow and Senior Director of Emerging Systems Lab, Intel Labs

Weight Space Learning: Learning Representations of Populations of Neural Networks

Damian Borth, Professor of Artificial Intelligence and Machine Learning, University of St. Gallen

UMSI + CSE DEI Offices Present: Tech Together

Worst-Case Approximation Ratios for Some Constraint Satisfaction Problems

Neng Huang, University of Michigan

Friday Night AI: “Redefining Access: Can AI Provide Disability Support?”

Division Event | Student Event

CSE Declaration Celebration: T-shirt Pick Up

Broadening Perspectives on African Governance in the Age of AI

Chinasa T. Okolo, Research Fellow, Governance Studies, Center for Technology Innovation, The Brookings Institution

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Vesuvius Scrolls: From Ancient Manuscripts to Artificial Intelligence

Women in Computing

Recent Directions in Approximate Nearest Neighbor Search

Sepideh Mahabadi, Senior Researcher, Algorithms Group, Microsoft Research

Knowledge-guided Machine Learning

Anuj Karpatne, Associate Professor, Virginia Tech

2024 AI Symposium: “Embodied AI”

Dissertation Defense

Bridging Data and Hardware Gap for Efficient Machine Model Scaling

Maximum Matching in $O(\log \log n) $ Passes in Dynamic Streams

Janani Sundaresan, University of Waterloo

Dissertation Defense

Exploiting Tree Structure in Empirical Game-Theoretic Analysis for Extensive-Form Games

Christine Konicki

Testing Assumptions of Learning Algorithms

Arsen Vasilyan, Simons Institute

Building a Unicorn Startup and Accelerating Innovation with AI Physics

Joris Poort, CEO & Founder, Rescale

The Next Big Thing in A.I.

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

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

Rate vs. Distance – Milestones and Obstacles Towards Improved Bounds

Elyassaf Loyfer

Faculty Candidate Seminar

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

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

Real Ethics for Artificial Agents

Dissertation Defense

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

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

Turán-type Problems and Graph Sparsification

Greg Bodwin, University of Michigan

William Gould Dow Distinguished Lecture

Post-Quantum Cryptography in Context

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

Transfer Student Reboot

Dissertation Defense

Exploring Intersectionality in Responsible Data Management

Coin Toss: Game-Theoretic Fairness and Privacy.

Ke Wu, University of Michigan

Faculty Candidate Seminar

kNNs and Hyperparameter Optimization

Henry Chai, Assistant Teaching Professor, Carnegie Mellon University

AI: The Good, the Bad, and the Ugly

Women in Computing

Interpretability and Adaptation of Language Models

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

Leveraging AI to Address Poverty-related Issues

Human Centered Computing Seminar

Personalized Ubiquitous Computing through Predictive Behavior Modeling

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

Dissertation Defense

Assisting Cloud System Development with Automated Insight Generation

Small Hybrid Language Model

Shizhe Diao, Research Scientist, NVIDIA Research

President’s Postdoctoral Fellowship Program Prospective Candidate

Designing for control and alignment in personal data tools

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

Faculty Candidate Seminar

Bloom Filters and MinHash: Two Probabilistic Data Structures

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

Division Event | Student Event

CSE Declaration Celebration: T-shirt Pick Up

Other Event | Student Event

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

Dissertation Defense

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

Christopher Clarke

Division Event | Student Event

CSE Declaration Celebration: T-shirt Pick Up

Faculty Candidate Seminar

Introduction to Classes and Objects in Python

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

Benchmarking LLMs’ Judgments with No Gold Standard

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

AI Lab Events | Friday Night AI

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

Dissertation Defense

Leveraging Compositional Structure for Reinforcement Learning and Decision Making Problems

Dissertation Defense

Enhancing Video Understanding Through Deep Generative Models and Task Comprehension

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