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Faculty Candidate Seminars
Events for 2023
JAN
06
2023
Faculty Candidate Seminar
Binary Search Trees
Victoria Dean, Ph.D. Candidate, Carnegie Mellon University
JAN
10
2023
Faculty Candidate Seminar
Fire! Sensing Smoke Across the US using Multiple Linear Regression
Sam Lau, Ph.D. Candidate, University of California, San Diego
FEB
03
2023
Faculty Candidate Seminar
Rethinking System Design for Expressive Cryptography
Sam Kumar, Ph.D. Candidate, University of California, Berkeley
FEB
09
2023
Faculty Candidate Seminar
The Gale-Shapley Algorithm
David Stapleton, Postdoc, University of Michigan, Department of Mathematics
FEB
10
2023
Faculty Candidate Seminar
Self-Supervised Reinforcement Learning
Ben Eysenbach, Ph.D. Candidate, Carnegie Mellon University
FEB
17
2023
Faculty Candidate Seminar
Software and Architecture for Reliable Quantum Computing
Poulami Das, Ph.D. Candidate, Georgia Institute of Technology
FEB
17
2023
Faculty Candidate Seminar
Socially Responsible and Factual Reasoning for Equitable AI Systems
Saadia Gabriel, Ph.D. Candidate, University of Washington
FEB
17
2023
Faculty Candidate Seminar
Building Sustainable Computational Materials
Nivedita Arora, Postdoc, Georgia Institute of Technology
FEB
20
2023
Faculty Candidate Seminar
Interactive and Grounded Language Learning
Prithviraj Ammanabrolu, Postdoc, Allen Institute for AI
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
MAR
06
2023
Faculty Candidate Seminar
Reinforcement Learning from Static Datasets: Algorithms, Analysis and Applications
Aviral Kumar, Ph.D. Candidate, University of California, Berkeley
MAR
07
2023
Faculty Candidate Seminar
Enabling Compositional Generalization of AI Systems
Shuang Li, Ph.D. Candidate, MIT
MAR
09
2023
Faculty Candidate Seminar
Designing Provably Performant Networked Systems
Venkat Arun, Ph.D. Candidate, MIT
MAR
17
2023
Faculty Candidate Seminar
Analyzing and Securing Software via Robust and Generalizable Learning
Kexin Pei, Ph.D. Candidate, Columbia University
MAR
17
2023
Faculty Candidate Seminar
Empowering Users on Social Media for Better Content Credibility
Farnaz Jahanbaksh, Ph.D. Candidate, MIT
MAR
17
2023
Faculty Candidate Seminar
Building Robust Systems Through System-Memory Co-Design
Minesh Patel, Ph.D. from ETH Zurich
MAR
17
2023
Faculty Candidate Seminar
Pseudorandomness and Space Complexity: New Methods, New Insights, and New Milestones
William Hoza, Postdoc, University of California, Berkeley
MAR
21
2023
Faculty Candidate Seminar
Privacy-Preserving Accountability Online
Nirvan Tyagi, Ph.D. Candidate, Cornell University
MAR
22
2023
Faculty Candidate Seminar
Quantum and Cryptography: Challenges and Opportunities
Qipeng Liu, Postdoc, Simons Institute
MAR
27
2023
Faculty Candidate Seminar
Intelligent Mobile Systems for Equitable Healthcare
Justin Chan, Ph.D. Candidate, University of Washington
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
MAR
31
2023
Faculty Candidate Seminar
The Design of a General-Purpose Distributed Execution System
Stephanie Wang, Ph.D. Candidate, University of California, Berkeley
MAR
31
2023
Faculty Candidate Seminar
Protecting User Privacy by Helping Developers
Tianshi Li, Ph.D. Candidate, Carnegie Mellon University
MAR
31
2023
Faculty Candidate Seminar
Expansion, Codes and Optimization at the Frontiers
Fernando Granha Jeronimo, Postdoc, Institute for Advanced Study
APR
03
2023
Faculty Candidate Seminar
Learning 3D Modeling and Simulation From and For the Real World
Wei-Chiu Ma, Ph.D. Candidate, MIT
APR
06
2023
Faculty Candidate Seminar
Learning to Re-create Reality in 3D
Jeong Joon (JJ) Park, Postdoc, Stanford University
APR
10
2023
Faculty Candidate Seminar
Robust IoT Communication and Sensing with Extreme Efficiency
Renjie Zhao, Ph.D. Candidate, University of California, San Diego
APR
14
2023
Faculty Candidate Seminar
Programming Distributed Systems
Mae Milano, Postdoc, University of California, Berkeley
APR
14
2023
Faculty Candidate Seminar
A Hybrid Computing Ecosystem For Practical Quantum Advantage
Gokul Ravi, Postdoc, University of Chicago
APR
14
2023
Faculty Candidate Seminar
Distance-Estimation in Modern Graphs: Algorithms and Impossibility
Nicole Wein, Postdoc, Rutgers University
APR
17
2023
Faculty Candidate Seminar
(Un)trustworthy Machine Learning: How to Balance Security, Accuracy, and Privacy
Eugene Bagdasaryan, Ph.D. Candidate, Cornell University
APR
19
2023
Faculty Candidate Seminar
Wireless Sensing for Ubiquitous Internet of Things
Kun Qian, Postdoc, University of California, San Diego
APR
20
2023
Faculty Candidate Seminar
Perceiving Humans in 4D
Georgios Pavlakos, Postdoctoral Scholar, University of California, Berkeley
NOV
13
2023
Faculty Candidate Seminar
Teaching Faculty Candidate Seminar: Introduction to Hash Tables
Hammad Ahmad, Ph.D. Candidate, University of Michigan
NOV
30
2023
Faculty Candidate Seminar
What Can Cryptography Do For Decentralized Mechanism Design?
Ke Wu, Ph.D. Candidate, Carnegie Mellon University
DEC
05
2023
Faculty Candidate Seminar
Neurons to Numerical Analysis: Applications of machine learning in scientific computing
Kevin Wandke, Ph.D. Candidate, University of Illinois Urbana-Champaign