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Events for 2023

Human-centered computing for healthcare and education: From robust machine intelligence to trustworthy human-technology partnership

Theodora Chaspari, Assistant Professor, Texas A&M University

Dissertation Defense

Secure and Safe Autonomous Driving: an Adversary’s Perspective

Yulong Cao, Ph.D. Student

Programmable In-network Security

Ang Chen, Assistant Professor, Rice University

Faculty Candidate Seminar

Binary Search Trees

Victoria Dean, Ph.D. Candidate, Carnegie Mellon University

Liren Shan: Higher-Order Cheeger Inequality for Partitioning with Buffers

Liren Shan, Northwestern University

Quantum Computing Systems: Challenges and Opportunities

Yufei Ding, Assistant Professor, University of California, Santa Barbara

Dissertation Defense

Steerable AI-powered Art-making Tools

Faculty Candidate Seminar

Fire! Sensing Smoke Across the US using Multiple Linear Regression

Sam Lau, Ph.D. Candidate, University of California, San Diego

Natural Language Processing Seminar

Snigdha Chaturvedi: Modeling People in Story Generation

Snigdha Chaturvedi, Assistant Professor, Department of Computer Science, University of North Carolina, Chapel Hill

AI Seminar: Cynthia Rudin – Understanding How Dimension Reduction Tools Work

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

CSE Seminar | Security Seminar

How the Stock Market is a Cryptography Problem (and no, this isn’t about cryptocurrency)

Allison Bishop, President of Proof Trading, Visiting Professor at CUNY

Sophie Huiberts: Smoothed analysis of the simplex method

Sophie Huiberts, Columbia University

Understanding Recursion Beyond Simple Problems

Steven Bogaerts, Associate Professor, DePauw University

AI Seminar | Women in Computing

Confounding-Robust Policy Learning under Sequentially Exogenous Unobserved Confounders

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

Faculty Candidate Seminar

Rethinking System Design for Expressive Cryptography

Sam Kumar, Ph.D. Candidate, University of California, Berkeley

Relational Affordance Learning for Robot Manipulation

David Held, Assistant Professor, Carnegie Mellon University

Failing Forward (Resilience)

Faculty Candidate Seminar

The Gale-Shapley Algorithm

David Stapleton, Postdoc, University of Michigan, Department of Mathematics

Faculty Candidate Seminar

Self-Supervised Reinforcement Learning

Ben Eysenbach, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Software and Architecture for Reliable Quantum Computing

Poulami Das, Ph.D. Candidate, Georgia Institute of Technology

Faculty Candidate Seminar

Socially Responsible and Factual Reasoning for Equitable AI Systems

Saadia Gabriel, Ph.D. Candidate, University of Washington

Faculty Candidate Seminar

Building Sustainable Computational Materials

Nivedita Arora, Postdoc, Georgia Institute of Technology

Faculty Candidate Seminar

Interactive and Grounded Language Learning

Prithviraj Ammanabrolu, Postdoc, Allen Institute for AI

Faculty Candidate Seminar

Looking Past the Abstractions: Characterizing Information Flow in Real-World Systems

Pubali Datta, Ph.D. Candidate, University of Illinois Urbana-Champaign

Manik Dhar: ℓ∞ linear hashing and two-sided Kakeya bounds

Manik Dhar, Princeton University

Min Jae Song: Continuous LWE

Min Jae Song, New York University

Faculty Candidate Seminar

Reinforcement Learning from Static Datasets: Algorithms, Analysis and Applications

Aviral Kumar, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

Enabling Compositional Generalization of AI Systems

Shuang Li, Ph.D. Candidate, MIT

Different Avenues in Tech

Faculty Candidate Seminar

Designing Provably Performant Networked Systems

Venkat Arun, Ph.D. Candidate, MIT

Dissertation Defense

Exploiting App Differences for Security Analysis of Multi-Geo Mobile Ecosystems

Coffee with the Co-Director

Jenna Wiens, Associate Professor, Electrical Engineering and Computer Science, University of Michigan

Natural Language Processing Seminar | Women in Computing

Systematic Study of 75K Models on Hugging Face

Nazneen Fatema Rajani, Research Lead, Hugging Face

Faculty Candidate Seminar

Analyzing and Securing Software via Robust and Generalizable Learning

Kexin Pei, Ph.D. Candidate, Columbia University

Faculty Candidate Seminar

Empowering Users on Social Media for Better Content Credibility

Farnaz Jahanbaksh, Ph.D. Candidate, MIT

Faculty Candidate Seminar

Building Robust Systems Through System-Memory Co-Design

Minesh Patel, Ph.D. from ETH Zurich

Faculty Candidate Seminar

Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones

William Hoza, Postdoc, University of California, Berkeley

Sasha Golovnev: Polynomial formulations as a barrier for reduction-based hardness proofs

Sasha Golovnev, Georgetown University

Faculty Candidate Seminar

Privacy-Preserving Accountability Online

Nirvan Tyagi, Ph.D. Candidate, Cornell University

Dissertation Defense

Practical Memory Disaggregation

Faculty Candidate Seminar

Quantum and Cryptography: Challenges and Opportunities

Qipeng Liu, Postdoc, Simons Institute

A Defense of (Empirical) Neural Tangent Kernels

Danica Sutherland, Assistant Professor, University of British Columbia

Or Zamir: Algorithmic Applications of Hypergraph and Partition Containers

Or Zamir, Institute for Advanced Study

Faculty Candidate Seminar

Intelligent Mobile Systems for Equitable Healthcare

Justin Chan, Ph.D. Candidate, University of Washington

Dissertation Defense

Crafting Machine Learning Defenses against Adversaries

Faculty Candidate Seminar

The Design of a General-Purpose Distributed Execution System

Stephanie Wang, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

AI for Public Health: Epidemic Forecasting Through a Data-Centric Lens

Alex Rodriguez, Ph.D. Candidate, Georgia Institute of Technology

Faculty Candidate Seminar

Protecting User Privacy by Helping Developers

Tianshi Li, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Expansion, Codes and Optimization at the Frontiers

Fernando Granha Jeronimo, Postdoc, Institute for Advanced Study

AI in Science & Engineering Day

Faculty Candidate Seminar

Learning 3D Modeling and Simulation From and For the Real World

Wei-Chiu Ma, Ph.D. Candidate, MIT

Exploiting Domain Knowledge and Modular Semantics in Deep Learning for Natural Language Comprehension and Grounding

Parisa Kordjamshidi, Assistant Professor, Michigan State University

Computing CARES

How To Be An EECS IA

Faculty Candidate Seminar

Learning to Re-create Reality in 3D

Jeong Joon (JJ) Park, Postdoc, Stanford University

Faculty Candidate Seminar

Robust IoT Communication and Sensing with Extreme Efficiency

Renjie Zhao, Ph.D. Candidate, University of California, San Diego

Division Event | Student Event

EECS 280 Presents: Journey Through CS – Women’s Panel

Division Event | Student Event

EECS 280 Presents: Journey Through CS Panel

Systems Seminar – CSE

Persistent Memory Programming on Conventional Hardware

Responsible Data Science and AI mini-symposium

Faculty Candidate Seminar

Programming Distributed Systems

Mae Milano, Postdoc, University of California, Berkeley

Faculty Candidate Seminar

A Hybrid Computing Ecosystem For Practical Quantum Advantage

Gokul Ravi, Postdoc, University of Chicago

Faculty Candidate Seminar

Distance-Estimation in Modern Graphs: Algorithms and Impossibility

Nicole Wein, Postdoc, Rutgers University

Zihan Tan: Almost-Optimal Sublinear Additive Spanners

Implementing AI in Health

Faculty Candidate Seminar

(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy

Eugene Bagdasaryan, Ph.D. Candidate, Cornell University

NLP @ Michigan Day

Faculty Candidate Seminar

Wireless Sensing for Ubiquitous Internet of Things

Kun Qian, Postdoc, University of California, San Diego

Data and AI in Society Forum Series: Generative AI, Composition, and Creativity

Dissertation Defense

Characterizing Laser Signal Injection and its Impact on the Security of Cyber-Physical Systems

Faculty Candidate Seminar

Perceiving Humans in 4D

Georgios Pavlakos, Postdoctoral Scholar, University of California, Berkeley

“The Future of Fintech” Conference

Dissertation Defense

Accelerated Systems for Portable DNA Sequencing

Dissertation Defense

Overcoming the Performance and Security Challenges of Building Highly-Distributed Fault-Tolerant Embedded Systems

Andrew Loveless

Dissertation Defense

Implicit Design Choices and Their Impact on Emotion Recognition Model Development and Evaluation

Mimansa Jaiswal

Preparing for Your Industrial Job Search

Lei Li, Director of Digital Innovation in P&G’s Feminine Care Business

Pete Ellingson, R&D Director and Open Innovation Manager in P&G’s Corporate R&D function

Hua Hu, Director, Principal Scientist in P&G’s Fabric and Home Care R&D focusing on M&S and DI to design devices, equipment, and processes across FHC

Friday Night AI | ChatGPT: What is it and what are its abilities and limitations?

Dissertation Defense

A Statistical Approach to Stochastic Computing Design and Analysis

From Theory to Practice: Building Ethical and Trustworthy AI

Computer Engineering Seminar

SafeBet: A Simple, Secure and Fast Solution for Spectre and Meltdown

T. N. Vijaykumar, Professor of Electrical and Computer Engineering, Elmore Family School of Electrical and Computer Engineering, Purdue University

Dissertation Defense

Where are the Humans in Human-AI Interaction: The Missing Human-Centered Perspective on Interpretability Tools for Machine Learning

Harmanpreet Kaur

NSF Priorities and Opportunities for Data Science and AI

Dr. Alfred Hero, Program Director in the NSF CISE Directorate, and the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and R. Jamison and Betty Williams Professor of Engineering, University of Michigan

Dissertation Defense

Rescuing Data Center Processors

Tanvir Ahmed Khan

Dissertation Defense

Automating the Detection and Correction of Failures in Modern Persistent Memory Systems

Dissertation Defense

Cognitive Modeling of Aggregate and Individual Performance on the Remote Associates Test

Dissertation Defense

Achieving Security and Privacy via Encrypted Architectures

Lauren Biernacki

Alumni | Cultural | Division Event | Student Event

EECS Juneteenth Celebration: Tech Empowering Our Communities

CSE Seminar | Division Event

Human-Centered AI Transparency: Lessons Learned and Open Questions in the Age of LLMs. Lecture to be followed by panel discussion.

Q. Vera Liao, Principal Researcher, Microsoft Research Montréal

Dissertation Defense

Towards an Algorithmic Account of Phonological Rules and Representations

Dissertation Defense

Minimalist Systems for Pervasive Machine Learning

Dissertation Defense

Understanding, Modeling and Leveraging Temporal Change in Mental Health

Dissertation Defense

Discovering Structured Representations for Reinforcement Learning

Dissertation Defense

Applying Software-Based Side-Channels to Hardware Vulnerabilities

Effective and Efficient Knowledge-Intensive NLP

Meng Jiang, Associate Professor of Computer Science and Engineering, University of Notre Dame

Dissertation Defense

Social Reference Processing with Collaborative Human-AI Systems

Jordan Huffaker

Dissertation Defense

Efficient Data Movement for Accelerating Data-Intensive Applications

Generative AI for Research – a Faculty Workshop (Part I)

Generative AI for Research – a Faculty Workshop (Part II)

Dissertation Defense

Efficient Game Solving through Transfer Learning

Dissertation Defense

Simulation-based Approaches for Evaluating Information Elicitation and Information Aggregation Mechanisms

Dissertation Defense

Mitigating Microarchitectural Vulnerabilities to Improve Cloud Security and Reliability

Dissertation Defense

Neural Language Generation for Content Adaptation: Explainable, Efficient Low-Resource Text Simplification and Evaluation

Cristina Garbacea

Dissertation Defense

Multiagent Learning by Iterative Refinement of Game Models

Generative AI in the Lab | Generative AI Coast-to-Coast Series

Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering,
The Ohio State University

Arlei Silva, Assistant Professor of Computer Science,
Rice University

Angela Wilkins: Moderator, Executive Director, Ken Kennedy Institute,
Rice University

Conversations on Policy, Ethics, and Generative AI | Generative AI Coast-to-Coast Series

Marjory Blumenthal,
International Computer Science Institute

Merve Hickok, President, Center for AI & Digital Policy,
School of Information – University of Michigan

Jing Liu : Moderator, Executive Director, Michigan Institute for Data Science,
University of Michigan

Dissertation Defense

Analysis of Situated Interactive Non-Expert Instruction of A Hierarchical Task to a Learning Robot

An Under the Hood Look at Generative AI: Potentials and Pitfalls | Generative AI Coast-to-Coast Series

David Evan Harris, Senior Research Fellow,
International Computer Science Institute

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; ,
University of Michigan

Sarah Stone: Moderator, Executive Director, eScience Institute,
University of Washington

Measuring and Improving the Internal Conceptual Representations of Deep Learning

Ramakrishna Vedantam, Independent Researcher, New York University

Natural Language Processing Seminar

From NLP to socially and personally contextualized understanding | Modeling empathy in NLP for Support-Oriented Interactions

Lucie Flek , Computer Science Professor ,
University of Bonn

Allison Lahnala, Visiting Scholar in SBU CS, HLAB,
University of Bonn

NSF Priorities and Opportunities for Data Science and AI

Dr. Pamela Davis-Kean, Program Director, Developmental Science Program of the NSF SBE Directorate

Division Event | Student Event

CSE UAO New Student Welcome

MIDAS Seminar | Symposium

MIDAS mini-symposium | Generative AI: Diffusion Models for Scientific Machine Learning

Postcards from the Future

Kurt Skifstad, Director of the Center for Entrepreneurship , University of Michigan

Dissertation Defense

Investigating the VPN Ecosystem through the lens of Security, Privacy, and Usability

Reethika Ramesh

Senior thesis defense: Ravi Bhatt

Ravi Bhatt, Undergraduate Senior, University of Michigan

Why a Privacy First Approach to Technology Policy is better than a Censorship First Approach

Cindy Cohn, Executive Director, Electronic Frontier Foundation

Alumni | Distinguished Lecture

Transforming Hollywood Visual Effects with Graphics and Vision

Paul Debevec, Chief Research Officer, Eyeline Studios, Powered by Netflix

Dissertation Defense

Overcoming Barriers to Information Exchange on the Web

AI for Medical Imaging

Learning to Re-create Reality in 3D

Jeong Joon Park, Assistant Professor, Computer Science and Engineering, University of Michigan

Answering Why Questions about Narrative Text

Raymond J. Mooney, Professor of Computer Science, University of Texas at Austin

Generative AI Tutorials | Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

Toward The Next-Generation Health and Well-being: The Synergy of Behavior Modeling and Intervention

Dr. Orson Xu, Postdoc, MIT EECS

Systems Seminar – CSE

Towards Collaborative Autonomy

Fan Bai, Staff Researcher and Lab Group Manager in the Connected Vehicle Experience Research Lab., Global Research & Development, General Motors Corporation

CSE UAO Transfer Student Reboot

Sidestepping the Black-Box: A New Paradigm for Explainable AI

Amulya Yadav, PNC Technologies Career Development Assistant Professor, College of Information Sciences and Technology, Penn State University

Women in Computing

AGI is Coming… Is HCI Ready?

Meredith Ringel Morris, Director and Principal Scientist for Human-AI Interaction Research, Google DeepMind

Midwest Programming Languages Summit

Lars Rohwedder: Simpler and stronger approximation algorithms for flow time scheduling

Lars Rohwedder, Maastricht University

Friday Night AI: “Generative AI for Teaching and Learning: An Opportunity or a Threat?”

Moderator: Rada Mihalcea, Director,
Michigan Artificial Intelligence Laboratory

Panelist: Kevyn Collins-Thompson, Director,
Masters in Applied Data Science Program

Panelist: Zara Burzo, Student,
Skyline High School

Task Planning with Large Language Models

Lajanugen Logeswaran, Research Scientist, LG AI Research

Michigan AI Symposium | Responsible AI

Julia Language Meetup

Generative AI Tutorials | Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

Recent Advancements in Quantization, Pruning and Knowledge Distillation

Gaowen Liu, Research Scientist, Cisco Systems

Computer Vision Seminar

Imaginative Vision Language Models

Mohamed Elhoseiny, Assistant Professor of Computer Science, KAUST

MIDAS Seminar | Symposium

MIDAS mini-symposium | AI-driven Research Workflows

Victor Reis: Optimal Online Discrepancy Minimization

Victor Reis, Institute for Advanced Study

Learning Syntactic Structures from Visually Grounded Text and Speech

Freda Shi, Incoming Assistant Professor, David R. Cheriton School of Computer Science, University of Waterloo

Unifying the Cognitive Sciences

Karl Friston, Professor of Imaging Neuroscience

CSE Discussions: Perspectives from Research and Experience

Generative AI Tutorials | Integrating Generative Image AI into Your Research Workflow

Dissertation Defense

On Improving Robustness of Deep Neural Networks for Computer Vision

Distinguished Lecture

Science in the Service of Democracy

J. Alex Halderman, Bredt Family Professor of Engineering, University of Michigan

Computing CARES

How to become an EECS IA

Deeparnab Chakrabarty: Parallel Submodular Function Minimization

Deeparnab Chakrabarty, Dartmouth College

Dissertation Defense

Improving Web Automation Tools through UI Context and Demonstration

Rebecca Krosnick

20th Annual CSE Graduate Honors Competition

Dissertation Defense

Aligning Objectives of Machine Learning with Clinical Care

Interaction Design Challenges for AI in Medicine

Maia Jacobs, Assistant Professor, Computer Science, Northwestern University

Distinguished Lecture

Diversity, Equity, and (Artificial) Intelligence

HV Jagadish, Edgar F. Codd Distinguished University Professor

MIDAS Seminar | Other Event

MIDAS Annual Data Science & AI Summit 2023

Faculty Candidate Seminar

Teaching Faculty Candidate Seminar: Introduction to Hash Tables

Hammad Ahmad, Ph.D. Candidate, University of Michigan

MIDAS Seminar | Other Event

MIDAS Annual Data Science & AI Summit 2023

Are there graphs whose shortest path structure requires large edge weights?

Nicole Wein, Simons Institute

Human-Centered Artificial Intelligence at Howard University

Gloria Washington, Associate Professor, Computer Science, Howard University

Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation

Chris Schwiegelshohn, Aarhus university

Dissertation Defense

Human-Centered Natural Language Processing for Countering Misinformation

Automatically Capturing and Reflecting Latent Label Dependencies in Machine Learning Models

Jay-Yoon Lee, Assistant Professor, Graduate School of Data Science, Seoul National University

President’s Postdoctoral Fellowship Program Prospective Candidate

Towards Human-Centered AI Alignment via Interaction: Human-in-the-loop AI Explanation, Evaluation, and Feedback

Hua Shen, Postdoc, University of Michigan School of Information

President’s Postdoctoral Fellowship Program Prospective Candidate

A Complete Characterization of Game-Theoretic Fair Coin Toss

Ke Wu, Ph.D. Candidate, Carnegie Mellon University

Batteries Beyond Batteries

Liang He, Assistant Professor, University of Colorado Denver

Bridging AI, Data, and Epidemiological Models

Alexander Rodríguez, Assistant Professor, Computer Science and Engineering, University of Michigan

Firm Foundations for Private Machine Learning and Statistics

Jonathan Ullman, Associate Professor, Northeastern University

Generative AI Tutorials | Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

Faculty Candidate Seminar

What Can Cryptography Do For Decentralized Mechanism Design?

Ke Wu, Ph.D. Candidate, Carnegie Mellon University

Women in Computing

The promise and pitfalls of AI. Artificial Intelligence: Do you trust it?

Kathleen Fisher, Office Director, Information Innovation Office (I2O), DARPA

Separating MAX 2-AND, MAX DI-CUT and MAX CUT

Aaron Potechin, University of Chicago

William Gould Dow Distinguished Lecture

Why do large AI models display new and complex skills?

Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science, Princeton University

Computing and AI: Traversing the Journey from Innovation to Convergence to Translation

Nitesh Chawla, Frank M. Freimann Professor of Computer Science and Engineering, University of Notre Dame

Solving Pattern Identification CAPTCHAs

Wuyang Du, Computer Science Student, University of Michigan

AI Seminar | Dissertation Defense

Data-driven Solutions for Blood Glucose Management

Harry Rubin-Falcone, PhD Candidate, University of Michigan

Faculty Candidate Seminar

Neurons to Numerical Analysis: Applications of machine learning in scientific computing

Kevin Wandke, Ph.D. Candidate, University of Illinois Urbana-Champaign

Bridging the Socio-Technical Gap: Towards Explainable and Responsible AI

Q. Vera Liao, Principal Researcher, Microsoft Research Montreal

Rewriting Conventional Societal Narratives with Data and AI

Reflections on my Research, Teaching, and Leading: Energy-Efficient, Reliable & Fun Computing Across the Hardware/Software Stack

Iris Bahar, Department Head, Department of Computer Science, Colorado School of Mines

Gaussian Polytope Approximators

Shivam Nadimpalli, Columbia University

Excellence at scale: Computer Science & Engineering at big public universities

Petros Drineas, Associate Head, Department of Computer Science, Purdue University

Designing Trustworthy Systems

Atul Prakash, CSE Senior Associate Chair, University of Michigan

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