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Faculty Candidate Seminars

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Past Seminars

APR
20
2023
Faculty Candidate Seminar
Perceiving Humans in 4D
Georgios Pavlakos, Postdoctoral Scholar, University of California, Berkeley
10:00am – 11:00am in 3316 EECS
APR
19
2023
Faculty Candidate Seminar
Wireless Sensing for Ubiquitous Internet of Things
Kun Qian, Postdoc, University of California, San Diego
10:30am – 11:30am in 3725 Beyster Building
APR
17
2023
Faculty Candidate Seminar
(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy
Eugene Bagdasaryan, Ph.D. Candidate, Cornell University
10:30am – 11:30am in 3725 Beyster Building
APR
14
2023
Faculty Candidate Seminar
Distance-Estimation in Modern Graphs: Algorithms and Impossibility
Nicole Wein, Postdoc, Rutgers University
11:00am – 12:00pm in 3725 Beyster Building
APR
14
2023
Faculty Candidate Seminar
Programming Distributed Systems
Mae Milano, Postdoc, University of California, Berkeley
9:30am – 10:30am in 3725 Beyster Building
APR
14
2023
Faculty Candidate Seminar
A Hybrid Computing Ecosystem For Practical Quantum Advantage
Gokul Ravi, Postdoc, University of Chicago
9:30am – 10:30am in Michigan Memorial Phoenix Laboratory, Suite 2000
APR
10
2023
Faculty Candidate Seminar
Robust IoT Communication and Sensing with Extreme Efficiency
Renjie Zhao, Ph.D. Candidate, University of California, San Diego
10:30am – 11:30am in 3725 Beyster Building
APR
06
2023
Faculty Candidate Seminar
Learning to Re-create Reality in 3D
Jeong Joon (JJ) Park, Postdoc, Stanford University
10:30am – 11:30am in 3725 Beyster Building
APR
03
2023
Faculty Candidate Seminar
Learning 3D Modeling and Simulation From and For the Real World
Wei-Chiu Ma, Ph.D. Candidate, MIT
11:00am – 12:00pm in 2300 Ford Robotics Building
MAR
31
2023
Faculty Candidate Seminar
Expansion, Codes and Optimization at the Frontiers
Fernando Granha Jeronimo, Postdoc, Institute for Advanced Study
11:00am – 12:00pm in Michigan Memorial Phoenix Laboratory, Suite 2000
MAR
31
2023
Faculty Candidate Seminar
Protecting User Privacy by Helping Developers
Tianshi Li, Ph.D. Candidate, Carnegie Mellon University
11:00am – 12:00pm in 3725 Beyster Building
MAR
31
2023
Faculty Candidate Seminar
The Design of a General-Purpose Distributed Execution System
Stephanie Wang, Ph.D. Candidate, University of California, Berkeley
9:30am – 10:30am in 3725 Beyster Building
MAR
31
2023
Faculty Candidate Seminar
AI for Public Health: Epidemic Forecasting Through a Data-Centric Lens
Alex Rodriguez, Ph.D. Candidate, Georgia Institute of Technology
9:30am – 10:30am in Michigan Memorial Phoenix Laboratory, Suite 2000
MAR
27
2023
Faculty Candidate Seminar
Intelligent Mobile Systems for Equitable Healthcare
Justin Chan, Ph.D. Candidate, University of Washington
10:30am – 11:30am in 3725 Beyster Building
MAR
22
2023
Faculty Candidate Seminar
Quantum and Cryptography: Challenges and Opportunities
Qipeng Liu, Postdoc, Simons Institute
10:30am – 11:30am in 3725 Beyster Building
MAR
21
2023
Faculty Candidate Seminar
Privacy-Preserving Accountability Online
Nirvan Tyagi, Ph.D. Candidate, Cornell University
10:30am – 11:30am in 3725 Beyster Building
MAR
17
2023
Faculty Candidate Seminar
Building Robust Systems Through System-Memory Co-Design
Minesh Patel
11:00am – 12:00pm in 3725 Beyster Building
MAR
17
2023
Faculty Candidate Seminar
Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones
William Hoza, Postdoc, University of California, Berkeley
11:00am – 12:00pm in Michigan Memorial Phoenix Laboratory, Suite 2000
MAR
17
2023
Faculty Candidate Seminar
Analyzing and Securing Software via Robust and Generalizable Learning
Kexin Pei, Ph.D. Candidate, Columbia University
9:30am – 10:30am in 3725 Beyster Building
MAR
17
2023
Faculty Candidate Seminar
Empowering Users on Social Media for Better Content Credibility
Farnaz Jahanbaksh, Ph.D. Candidate, MIT
9:30am – 10:30am in Michigan Memorial Phoenix Laboratory, Suite 2000
MAR
09
2023
Faculty Candidate Seminar
Designing Provably Performant Networked Systems
Venkat Arun, Ph.D. Candidate, MIT
10:30am – 11:30am in 3725 Beyster Building
MAR
07
2023
Faculty Candidate Seminar
Enabling Compositional Generalization of AI Systems
Shuang Li, Ph.D. Candidate, MIT
10:30am – 11:30am in 3725 Beyster Building
MAR
06
2023
Faculty Candidate Seminar
Reinforcement Learning from Static Datasets: Algorithms, Analysis and Applications
Aviral Kumar, Ph.D. Candidate, University of California, Berkeley
10:30am – 11:30am in 3725 Beyster Building
FEB
21
2023
Faculty Candidate Seminar
Looking Past the Abstractions: Characterizing Information Flow in Real-World Systems
Pubali Datta, Ph.D. Candidate, University of Illinois Urbana-Champaign
10:30am – 11:30am in 3725 Beyster Building
FEB
20
2023
Faculty Candidate Seminar
Interactive and Grounded Language Learning
Prithviraj Ammanabrolu, Postdoc, Allen Institute for AI
10:30am – 11:30am in 3725 Beyster Building
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