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All Seminars

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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
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