Home > Events > All Seminars

All Seminars

There are no events currently scheduled.

Past Seminars

DEC
11
2020
Theory Seminar
Fast algorithms for linear programs and bipartite matching via new data structures and interior-point methods
Jan van den Brand
10:00am – 11:00am
DEC
08
2020
Faculty Candidate Seminar
Hash Tables Lecture
Franceska Xhakaj, Ph.D. Candidate, Carnegie Mellon University
10:00am – 11:00am in Remote/Virtual
DEC
04
2020
Theory Seminar
New Analysis of the Factor Refinement Algorithm with Applications
Aditya Ravi
10:00am – 11:00am
DEC
03
2020
CSE Seminar
Explainability and Interpretability through Interaction
Nikola Banovic, Assistant Professor, University of Michigan
11:00am – 12:00pm in Remote/Virtual
NOV
20
2020
Theory Seminar
Impartial selection, additive approximation guarantees, and priors
Ioannis Caragiannis, Professor, Aarhus University
10:00am – 11:00am
NOV
20
2020
CSE Seminar
Pursuing Health and Inclusion Through Sociotechnical Systems
Megh Marathe, Ph.D. Candidate, University of Michigan
10:00am – 11:00am in Remote/Virtual
NOV
19
2020
CSE Seminar | Faculty Seminar
Bridging Continuous and Discrete Optimization through the Lens of Approximation
Euiwoong Lee, Assistant Professor, University of Michigan
11:00am – 12:00pm in Remote/Virtual
NOV
19
2020
CSE Seminar
Objectively Measure Developers’ Cognitive Activities: Code, Biases, and Brains
Yu Huang, Ph.D. Candidate, University of Michigan
10:00am – 11:00am in Remote/Virtual
NOV
18
2020
CSE Seminar
Mobile Health Approaches to Precision Medicine
Julian Ramos, Ph.D. Candidate, Carnegie Mellon University
10:00am – 11:00am in Remote/Virtual
NOV
17
2020
CSE Seminar
Machine Learning and Causality: Building Efficient, Reliable Models for Decision-Making
Maggie Makar, Ph.D. Candidate, MIT
10:00am – 11:00am in Remote/Virtual
NOV
13
2020
Distinguished Lecture | Women in Computing
Networks Capable of Change
Jennifer Rexford, Gordon Y.S. Wu Professor of Engineering and the Chair of Computer Science, Princeton University
2:45pm – 3:45pm in Remote/Virtual
NOV
13
2020
Women in Computing | Rackham Faculty Allies Speaker Series
AI & Accessibility: Ethical Considerations
Meredith Morris, Sr. Principal Researcher , Microsoft Research
1:00pm – 2:00pm in Remote/Virtual
NOV
13
2020
Theory Seminar
A Unified and Fine-Grained Approach for Light Spanners
Hung Lee, Assistant Professor, University of Massachusetts Amherst
10:00am – 11:00am
NOV
12
2020
Computer Engineering Seminar
Towards General Purpose Specialization
Tony Nowatzki, Assistant Professor of Computer Science, University of California, Los Angeles
12:00pm – 1:30pm
NOV
12
2020
CSE Seminar
Collaboration as a Lens for Inclusive Technical Innovation
Meredith Morris, Sr. Principal Researcher, Microsoft Research
11:00am – 12:00pm in Remote/Virtual
NOV
11
2020
MIDAS Seminar
U-M Data Science Annual Symposium 2020
With Prof. David Fouhey and Prof. Jason Corso
9:00am – 5:00pm in Remote/Virtual
NOV
10
2020
MIDAS Seminar
U-M Data Science Annual Symposium 2020
With Prof. David Fouhey and Prof. Jason Corso
9:00am – 5:00pm in Remote/Virtual
NOV
06
2020
Theory Seminar
Edge-Weighted Online Bipartite Matching
Matthew Fahrbach
10:00am – 11:00am
NOV
03
2020
AI Seminar | Computer Vision Seminar
Jitendra Malik | Where Do We Come From, What Are We Doing, Where Are We Going
Jitendra Malik, Arthur J. Chick Professor, Dept. of Electrical Engg & Computer Science, UC Berkeley
4:00pm – 5:30pm in Remote/Virtual
OCT
30
2020
Theory Seminar
Coloring and Maximum Weight Independent Set of Rectangles
Parinya Chalermsook, Assistant Professor, Aalto University
10:00am – 11:00am
OCT
26
2020
CSE Seminar
Realizing the Promise of Autonomy
Stan Schneider, CEO of Real-Time Innovations (RTI)
10:30am – 12:00pm in Remote/Virtual
OCT
23
2020
Theory Seminar
Towards Optimal Separations between Quantum and Randomized Query Complexities
Avishay Tal, Assistant Professor, UC Berkeley
2:00pm – 3:00pm
OCT
21
2020
CSE Seminar
Automotive Cloud Computing
Dr. Fan Bai, Staff Researcher and Lab Group Manager, Electrical & Control Systems Lab, Research & Development and Planning, General Motors Corporation
10:30am – 12:00pm
OCT
20
2020
AI Seminar | Women in Computing | CSE Seminar
Danielle Belgrave | ML for Personalized Mental Healthcare
Danielle Belgrave, Machine Learning Researcher, Health Intelligence Group, Microsoft Research
4:00pm – 5:30pm in Remote/Virtual
OCT
16
2020
Theory Seminar
Computational Hardness of Optimal Fair Computation
Hemanta K. Maji, Assistant Professor, Purdue University
10:00am – 11:00am
OCT
09
2020
Theory Seminar
Aggregating Inconsistent Information in Ranking, Clustering and Phylogenetic Trees
Vaggos Chatziafratis, Visiting Faculty Researcher, Google Research
10:00am – 11:00am
OCT
06
2020
AI Seminar | Natural Language Processing Seminar | Women in Computing
Pascale Fung | Deeper Conversational AI
Pascale Fung, Professor of Electronic & Computer Engineering, and Computer Science & Engineering, Hong Kong University of Science and Technology
12:00pm – 1:30pm in Remote/Virtual
OCT
02
2020
Theory Seminar
New Techniques for Proving Fine-Grained Average-Case Hardness
Andrea Lincoln, Postdoc, UC Berkeley
10:00am – 11:00am
SEP
28
2020
MIDAS Seminar
Data Science and Politics
David Shor, SuperPAC Data Scientist, Democratic Consultant
8:00am – 5:00pm
SEP
25
2020
Theory Seminar
Hypergraph k-cut for fixed k in deterministic polynomial time
Karthik Chandrasekaran, Assistant Professor, UIUC
10:00am – 11:00am
SEP
22
2020
AI Seminar
Semantic Scholar, NLP, and the Fight Against COVID-19
Oren Etzioni, Chief Executive Officer at Allen Institute for AI
4:00pm – 5:30pm
SEP
18
2020
Theory Seminar
Non-Adaptive Adaptive Sampling in Turnstile Streams
Sepideh Mahabadi, Research Assistant Professor, Toyota Technological Institute at Chicago (TTIC)
10:00am – 11:00am
SEP
14
2020
MIDAS Seminar
MIDAS Reproducibility Day
2:00pm – 5:00pm
SEP
11
2020
Theory Seminar
The Menu-Size of Approximately Optimal Auctions
Yannai A. Gonczarowski
10:00am – 11:00am
SEP
09
2020
Cultural/Diversity
Cracking the diversity code: Understanding computing pathways of those least represented in order to foster their representation
Monique Ross, Assistant Professor, School of Computing & Information Science, Florida International University
3:30pm – 4:30pm
AUG
31
2020
MIDAS Seminar
Beyond Algorithmic Fairness: What Social Justice Needs from Data Science
Kentaro Toyama, Professor of Community Information, Professor of Information, School of Information, University of Michigan
4:00pm – 5:00pm
AUG
04
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase
Chris Brooks, Assistant Professor of Information – School of Information, University of Michigan
1:00pm – 2:00pm
JUL
29
2020
MIDAS Seminar
“Is AI Racist?”
Dr. Jagadish and Other Experts, Professor, Electrical Engineering and Computer Science , Director of the Michigan Institute for Data Science
4:30pm – 5:30pm
JUL
28
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: #6
Sharon Glotzer, Professor, Chemical Engineering and Materials Science & Engineering, U-M
1:00pm – 2:00pm
JUL
28
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design
SHARON GLOTZER, Professor – Chemical Engineering and Materials Science and Engineering, University of Michigan
1:00pm – 2:00pm
JUL
21
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: #5
John Silberholz & Nigel Michki, Associate Professor, Technology & Operations, U-M & Doctoral student, Biophysics, U-M
1:00pm – 2:00pm
JUL
15
2020
MIDAS Seminar
A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID
Danny Forger, Professor of Computational Medicine, Bioinformatics, & Mathematics, U-M, University of Michigan
1:00pm – 2:00pm
JUL
08
2020
MIDAS Seminar
A Scalable Tool for Longitudinal Twitter Analysis
Al Hero & Walter Dempsey, Professor, EECS & Engineering, U-M & Assistant Professor, School of Public Health, UM, University of Michigan
1:00pm – 2:00pm
MAY
05
2020
AI Seminar
Learning sight from sound
Andrew Owens, Assistant Professor in Electrical and Computer Engineering, University of Michigan
4:00pm – 5:15pm in Remote/Virtual
MAY
05
2020
AI Seminar | Dissertation Defense
Efficient Belief Propagation for Perception and Manipulation in Clutter
Karthik Desingh
3:00pm – 5:00pm
APR
16
2020
MIDAS Seminar | Student Event
A Data Scientist Plays Games
Nick Berry, Data Scientist, Formerly with Microsoft, GameHouse, and Facebook
12:00pm – 1:30pm in Remote/Virtual
APR
16
2020
CSE Seminar
Understanding and Generating Natural Language of Complex Discourse
Lu Wang, Assistant Professor, Northeastern University
10:30am – 11:30am in Remote/Virtual
APR
15
2020
Faculty Candidate Seminar
Towards Structured-Infused and Disentangled Representation Learning
Xuezhe Ma, Ph.D. Candidate, Carnegie Mellon University
10:30am – 11:30am in Remote/Virtual
APR
08
2020
Faculty Candidate Seminar
New Compilation Techniques for Reconfigurable Analog Devices
Sara Achour, Ph.D. Candidate, MIT
10:30am – 11:30am in Remote/Virtual
APR
06
2020
Faculty Candidate Seminar
Language Grounding with Robots
Jesse Thomason, Postdoc, University of Washington
10:30am – 11:30am in Remote/Virtual
APR
02
2020
Faculty Candidate Seminar
Harnessing Examples for Learning at Scale
Xu Wang, Ph.D. Candidate, Carnegie Mellon University
10:30am – 11:30am in Remote/Virtual
APR
01
2020
Faculty Candidate Seminar
Bending Fuzzers to One’s Own Will
Rohan Padhye, Ph.D. Candidate, University of California Berkeley
10:30am – 11:30am in Remote/Virtual
MAR
31
2020
Faculty Candidate Seminar
Learning Spoken Language Through Vision
David Harwath, Research Scientist, MIT
10:30am – 11:30am in Remote/Virtual
MAR
30
2020
Faculty Candidate Seminar
Auditing Outsourced Services
Cheng Tan, Ph.D. Candidate, New York University
10:30am – 11:30am in Remote/Virtual
MAR
26
2020
Faculty Candidate Seminar
Rethinking Operating System and Hardware Abstractions for Good and Evil
Dimitrios Skarlatos, Ph.D. Candidate, University of Illinois at Urbana-Champaign
10:30am – 11:30am in Remote/Virtual
MAR
25
2020
Faculty Candidate Seminar
Designing Collective Behavior in Robotic Swarms
Justin Werfel, Sr. Research Scientist, Harvard University
10:30am – 11:30am in Remote/Virtual
MAR
24
2020
Faculty Candidate Seminar
Connecting Blockchains to the Real World
Fan Zhang, Ph.D. Candidate, Cornell University
10:30am – 11:30am in Remote/Virtual
MAR
23
2020
Faculty Candidate Seminar
Automating Failure Diagnosis for Distributed Systems
Yongle Zhang, Ph.D. Candidate, University of Toronto
10:30am – 11:30am in Remote/Virtual
MAR
20
2020
Theory Seminar
An Algorithm for Hypergraph k-Cut
Karthik Chandrasekaran, Assistant Professor, University of Illinois, Urbana-Champaign
10:30am – 11:30pm in 3725 Beyster Building
MAR
19
2020
Faculty Candidate Seminar
Foundations of Optimizable Gradual Typing
Max New, Ph.D. Candidate, Northeastern University
10:30am – 11:30am in Remote/Virtual
MAR
18
2020
Faculty Candidate Seminar
Learning from Societal Data: Theory and Practice
Ramya Vinayak, Postdoc, University of Washington
10:30am – 11:30am in Remote/Virtual
MAR
17
2020
Faculty Candidate Seminar
Analyzing Programs in the Era of Software 2.0
Xin Zhang, Postdoc, MIT
10:30am – 11:30am in Remote/Virtual
MAR
16
2020
Faculty Candidate Seminar
Better Foundations for Secure Software: Minimize Trust and Verify It
Shweta Shivaji Shinde, Postdoc, University of California Berkeley
10:30am – 11:30am in Remote/Virtual
MAR
11
2020
Faculty Candidate Seminar
Progressive Automated Formal Verification of Hardware and Software Systems
Yatin Manerkar, Ph.D. Candidate, Princeton University
10:30am – 11:30am in 3725 Beyster Building
MAR
10
2020
Faculty Candidate Seminar
Algorithmic Paradigms for Dynamic Graphs
Thatchaphol Saranurak, Research Assistant Professor, Toyota Technological Institute at Chicago
10:30am – 11:30am in 3725 Beyster Building
MAR
09
2020
Faculty Candidate Seminar
Scalability and Methods of Deep Learning from an Optimization Viewpoint
Kenji Kawaguchi, Ph.D. Candidate, MIT
10:30am – 11:30am in 3725 Beyster Building
MAR
06
2020
Theory Seminar
Towards a Unified Theory of Matching Sparsifiers
Aaron Bernstein, Asst. Professor, Rutgers University
10:30am – 11:30pm in 3725 Beyster Building
FEB
27
2020
Faculty Candidate Seminar
The Value Alignment Problem in Artificial Intelligence
Dylan Hadfield-Menell, Ph.D. Candidate, University of California, Berkeley
10:30am – 11:30am in 3725 Beyster Building
FEB
26
2020
Faculty Candidate Seminar
Machine Learning for Accelerating Scientific Discovery
Aditya Grover, Ph.D. Candidate, Stanford University
10:30am – 11:30am in 3725 Beyster Building
FEB
25
2020
AI Seminar
Distortion-based Analysis of Voting: Limited Communication, and an Analysis Framework based on LP Duality and Flows
David Kempe , Professor, Computer Science, University of Southern California
4:00pm – 5:15pm in 3725 Beyster Building
FEB
25
2020
Faculty Candidate Seminar
Towards Scalable and Reliable Architectures for Quantum Computing Platforms
Swamit Tannu, Ph.D. Candidate, Georgia Tech
10:30am – 11:30am in 3725 Beyster Building
FEB
24
2020
MIDAS Seminar
Is It Possible to Democratize AI for Business
Jen Stirrup, Regional Director
3:30pm – 4:30pm in 340 West Hall
FEB
24
2020
Faculty Candidate Seminar
Human-AI Systems for Visual Information Access
Anhong Guo, Ph.D. Candidate, Carnegie Mellon University
10:30am – 11:30am in 3725 Beyster Building
FEB
20
2020
Faculty Candidate Seminar
New Approaches to Real-Time Robotic Mapping and Information Gathering
Maani Ghaffari Jadidi, Assistant Research Scientist, University of Michigan
10:30am – 11:30am in 3725 Beyster Building
FEB
19
2020
CSE Seminar
Software-Hardware Systems for the Internet of Things
Omid Abari, Assistant Professor, University of Waterloo
10:30am – 11:30am in 3725 Beyster Building
FEB
18
2020
CSE Seminar
Logic Solvers and Machine Learning: The Next Frontier
Vijay Ganesh, Associate Professor, University of Waterloo
10:30am – 11:30am in 3725 Beyster Building
FEB
17
2020
MIDAS Seminar
How Language Makes Us Smart (Without Big Data)
Charles Yang, Director
3:30pm – 4:30pm in 340 West Hall
FEB
17
2020
Faculty Candidate Seminar
Efficient Machine Learning via Data Summarization
Baharan Mirzasoleiman, Postdoc, Stanford University
10:30am – 11:30am in 3725 Beyster Building
FEB
13
2020
Faculty Candidate Seminar
Breaking and Building End-to-End Encrypted Systems
Paul Grubbs, Ph.D. Candidate, Cornell University
10:30am – 11:30am in 3725 Beyster Building
FEB
11
2020
Faculty Candidate Seminar
Control Hijacking I
Ben VanderSloot, Ph.D. Candidate, University of Michigan
10:30am – 11:30am in 3725 Beyster Building
FEB
07
2020
Theory Seminar
Security Games: Quasi-Regular Sequences, and a new version of TSP
David Kempe, Professor, University of Southern California
10:30am – 11:30pm in 3725 Beyster Building
FEB
06
2020
Faculty Candidate Seminar
Binary Search Trees for Sentiment Analysis
Laura Burdick, Ph.D. Candidate, University of Michigan
10:30am – 11:30am in 3725 Beyster Building
FEB
03
2020
Faculty Candidate Seminar
Introduction to Hashing and Hash Tables
Brad Solomon, Postdoc, Johns Hopkins University
10:30am – 11:30am in 3725 Beyster Building
JAN
30
2020
AI Seminar
NumPy: A look at the past, present, and future of array computation
Ross Barnowski, Postdoctoral Scholar
1:30pm – 3:00pm in 3725 Beyster Building
JAN
30
2020
Faculty Candidate Seminar
Abstraction in Reinforcement Learning
David Abel, Ph.D. Candidate, Brown University
10:30am – 11:30am in 3725 Beyster Building
JAN
28
2020
Faculty Candidate Seminar
Improving Team Performance and Dynamics within Human-Robot Teams
Sarah Sebo, Ph.D. Candidate, Yale University
10:30am – 11:30am in 3725 Beyster Building
JAN
27
2020
Faculty Candidate Seminar
Knowledge Is Power: Sensing The Physical World Around Devices
Yang Zhang, Ph.D. Candidate, Carnegie Mellon University
10:30am – 11:30am in 3725 Beyster Building
JAN
24
2020
Faculty Candidate Seminar
Intro to RISC-V Assembly
Branden Ghena, Ph.D. Candidate, University of California, Berkeley
1:30pm – 2:30pm in 3725 Beyster Building
JAN
24
2020
Women in Computing | Rackham Faculty Allies Speaker Series
AI for Good: Computer Science Helping the World
Maria Gini, Professor, University of Minnesota
10:30am – 11:30am in 3725 Beyster Building
JAN
23
2020
Faculty Candidate Seminar
Stable Matchings
Robbie Weber, Ph.D. Candidate, University of Washington
10:30am – 11:30am in 3725 Beyster Building
JAN
22
2020
Faculty Candidate Seminar
Distributive Justice for Machine Learning: An Interdisciplinary Perspective on Defining, Measuring, and Remedying Algorithmic Unfairness
Hoda Heidari, Postdoc, Cornell University
10:30am – 11:30am in 3725 Beyster Building
JAN
21
2020
AI Seminar
Language Grounding in Situated Communication
Joyce Chai, Professor, Electrical Engineering and Computer Science, University of Michigan
4:00pm – 5:15pm in 3725 Beyster Building
JAN
21
2020
Faculty Candidate Seminar
Foundations of Intelligent Systems with (Deep) Function Approximators
Simon Du, Postdoc, Institute for Advanced Study
10:30am – 11:30am in 3725 Beyster Building
JAN
16
2020
Faculty Candidate Seminar
Sketching Graphs and Matrices
Greg Bodwin, Postdoc, Georgia Tech
10:30am – 11:30am in 3725 Beyster Building
JAN
15
2020
Computer Engineering Seminar
Enabling Continuous Learning through Synaptic Plasticity in Hardware
Tushar Krishna
12:00pm – 1:00pm in 3725 Beyster Building
JAN
14
2020
AI Seminar
Software Engineering Intelligence
Marouane Kessentini, Associate Professor, Computer and Information Science , University of Michigan – Dearborn
4:00pm – 5:15pm in 3725 Beyster Building
JAN
14
2020
Faculty Candidate Seminar
On Sunflowers and Its Friends in Computer Science and Mathematics
Jiapeng Zhang, Postdoc, Harvard University
10:30am – 11:30am in 3725 Beyster Building
JAN
09
2020
Faculty Candidate Seminar
Data Structures Meet Circuits and Cryptography
Sasha Golovnev, Postdoc, Harvard University
10:30am – 11:30am in 3725 Beyster Building
JAN
07
2020
AI Seminar
Applications of AI for Accessibility
Robin Brewer, Assistant Professor – School of Information and Computer Science and Engineering , University of Michigan
4:00pm – 5:15pm in 3725 Beyster Building
202220212020201920182017201620152014201320122011201020092008200720062005200420032002