Faculty Candidate Seminars
Events for 2021
JAN
21
2021
Faculty Candidate Seminar
I Am Error: How Math Can Automatically Fix Mistakes
Dylan Quintana, Ph.D. Candidate, University of Chicago
JAN
28
2021
Faculty Candidate Seminar
Introduction to Cache Organization
Kevin Leach, Postdoc, University of Michigan
MAR
04
2021
Faculty Candidate Seminar
Learning Through Interaction in Cooperative Multi-Agent Systems
Kalesha Bullard, Postdoctoral Researcher, Facebook AI Research
MAR
10
2021
Faculty Candidate Seminar
Prioritizing Computation and Analyst Resources in Large-scale Data Analytics
Kexin Rong, Ph.D. Candidate, Stanford University
MAR
15
2021
Faculty Candidate Seminar
Introduction to Red-Black Tree
Nasheen Nur, Ph.D. Candidate, University of North Carolina at Charlotte
MAR
16
2021
Faculty Candidate Seminar
AI for Population Health: Melding Data and Algorithms on Networks
Bryan Wilder, Ph.D. Candidate, Harvard University
MAR
17
2021
Faculty Candidate Seminar
Wireless Systems that See the Invisible with Machine Learning: Through-Wall Vision, Emotion Recognition, and Health Monitoring
Mingmin Zhao, Ph.D. Candidate, MIT
MAR
18
2021
Faculty Candidate Seminar
Physically Interactive Intelligence — A path towards autonomous embodied agents
Roberto Martin-Martin, Postdoctoral Scholar, Stanford University
MAR
22
2021
Faculty Candidate Seminar
Opening the Black Box: Towards Theoretical Understanding of Deep Learning
Wei Hu, Ph.D. Candidate, Princeton University
MAR
24
2021
Faculty Candidate Seminar
Defining and Ensuring Algorithmic Fairness in Artificial Intelligence
Ben Fish, Postdoc, Mila
MAR
25
2021
Faculty Candidate Seminar
Probabilistic proofs: theory, hardware, and everything in between
Riad Wahby, Ph.D. Candidate, Stanford University
MAR
29
2021
Faculty Candidate Seminar
Diversity and Fairness in Data Summarization Algorithms
Sepideh Mahabadi, Research Assistant Professor, Toyota Technological Institute at Chicago
MAR
30
2021
Faculty Candidate Seminar
Perception and Decision-Making Systems for Human-Robot Teaming in Safety-Critical Environments
Angelique Taylor, Ph.D. Candidate, University of California, San Diego
MAR
31
2021
Faculty Candidate Seminar
Sample-Efficient Nonconvex Optimization Algorithms for Machine Learning
Pan Xu, Ph.D. Candidate, UCLA
APR
01
2021
Faculty Candidate Seminar
Eliminating Bugs in Real Systems
Fraser Brown, Ph.D. Candidate, Stanford University
APR
05
2021
Faculty Candidate Seminar
Architecting Quantum Computing Systems in the Presence of Noise
Yongshan Ding, Ph.D. Candidate, University of Chicago
APR
06
2021
Faculty Candidate Seminar
SAUL: Towards Effective Data Science
Lei Cao, Postdoc, MIT
APR
12
2021
Faculty Candidate Seminar
Enabling Hyperscale Web Services
Akshitha Sriraman, Ph.D. Candidate, University of Michigan
APR
14
2021
Faculty Candidate Seminar
IDEs for Ideas
Andrew Head, Postdoc, University of California, Berkeley
APR
15
2021
Faculty Candidate Seminar
Bridging Algorithmic and Statistical Randomness in Machine Learning
Michal Derezinski, Postdoc, University of California, Berkeley
APR
26
2021
Faculty Candidate Seminar
Compositional Reasoning in Robot Learning
Danfei Xu, Ph.D. Candidate, Stanford University
DEC
08
2021
Faculty Candidate Seminar
Teaching Faculty Candidate Seminar: Saquib Razak
Saquib Razak, Associate Teaching Professor, Carnegie Mellon University, Qatar
DEC
09
2021
Faculty Candidate Seminar
Teaching Faculty Candidate Seminar: Alan Weide
Alan Weide, Ph.D. Candidate, Ohio State University