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All Seminars

Past Seminars

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, UMUniversity of Michigan
1:00pm – 2:00pm
MAY
05
2020
AI Seminar
Learning sight from sound
Andrew Owens, Assistant Professor in Electrical and Computer EngineeringUniversity 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 ScientistFormerly 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 ProfessorNortheastern 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. CandidateCarnegie 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. CandidateMIT
10:30am – 11:30am in Remote/Virtual
APR
06
2020
Faculty Candidate Seminar
Language Grounding with Robots
Jesse Thomason, PostdocUniversity 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. CandidateCarnegie 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. CandidateUniversity of California Berkeley
10:30am – 11:30am in Remote/Virtual
MAR
31
2020
Faculty Candidate Seminar
Learning Spoken Language Through Vision
David Harwath, Research ScientistMIT
10:30am – 11:30am in Remote/Virtual
MAR
30
2020
Faculty Candidate Seminar
Auditing Outsourced Services
Cheng Tan, Ph.D. CandidateNew 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. CandidateUniversity 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 ScientistHarvard University
10:30am – 11:30am in Remote/Virtual
MAR
24
2020
Faculty Candidate Seminar
Connecting Blockchains to the Real World
Fan Zhang, Ph.D. CandidateCornell University
10:30am – 11:30am in Remote/Virtual
MAR
23
2020
Faculty Candidate Seminar
Automating Failure Diagnosis for Distributed Systems
Yongle Zhang, Ph.D. CandidateUniversity of Toronto
10:30am – 11:30am in Remote/Virtual
MAR
20
2020
Theory Seminar
An Algorithm for Hypergraph k-Cut
Karthik Chandrasekaran, Assistant ProfessorUniversity 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. CandidateNortheastern University
10:30am – 11:30am in Remote/Virtual
MAR
18
2020
Faculty Candidate Seminar
Learning from Societal Data: Theory and Practice
Ramya Vinayak, PostdocUniversity 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, PostdocMIT
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, PostdocUniversity 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. CandidatePrinceton University
10:30am – 11:30am in 3725 Beyster Building
MAR
10
2020
Faculty Candidate Seminar
Algorithmic Paradigms for Dynamic Graphs
Thatchaphol Saranurak, Research Assistant ProfessorToyota 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. CandidateMIT
10:30am – 11:30am in 3725 Beyster Building
MAR
06
2020
Theory Seminar
Towards a Unified Theory of Matching Sparsifiers
Aaron Bernstein, Asst. ProfessorRutgers University
10:30am – 11:30pm in 3725 Beyster Building
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