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Faculty Candidate Seminars

Upcoming Seminars

Past Events

MAR
15
2023
Faculty Candidate Seminar
Theoretical Foundations and Design Methodologies for Cyber-Neural Systems: a Case Study in Epilepsy
Emily Reed, Electrical and Computer Engineering Ph.D. Candidate , University of Southern California
10:00am – 11:00am in 3316 EECS
APR
18
2022
Faculty Candidate Seminar
Learning to Generate Data by Estimating Gradients of the Data Distribution
Yang Song, Ph.D. Candidate, Stanford University
10:30am – 11:30am in Remote/Virtual
MAR
09
2022
Faculty Candidate Seminar
Towards Scalable Representation Learning for Visual Recognition
Saining Xie, Research Scientist, Facebook
10:30am – 11:30am in Remote/Virtual
MAR
09
2022
Faculty Candidate Seminar
Advancing Quantum Science with Ytterbium Atom Arrays
Alexander Burgers, Postdoctoral Scholar, Princeton
9:00am – 10:30am in 1690 Beyster Building
MAR
08
2022
Faculty Candidate Seminar
Emerging Optics from Structured Nanomaterials
Danqing Wang , Miller Research Fellow , University of California, Berkeley
9:00am – 10:30am in 1690 Beyster Building
FEB
22
2022
Faculty Candidate Seminar
AI-powered Computational Imaging and Processing for Advancing Visualization and Perception in Biomedical Applications
Liyue Shen, Research Fellow, Stanford University
9:00am – 10:30am in 1690 Beyster Building
JAN
27
2022
Faculty Candidate Seminar
Theoretical Foundations of Pre-trained Models
Qi Lei, Associate Research Scholar, Princeton University
10:00am – 11:00am in 1690 Beyster Building
APR
05
2021
Faculty Candidate Seminar
Learning to See the 3D world
Jia-Bin Huang, Assistant Professor, Virginia Tech
9:30am – 10:30am in Remote/Virtual
MAR
31
2021
Faculty Candidate Seminar
Steps towards making machine learning more natural
Mengye Ren, Ph.D. Candidate, University of Toronto
9:30am – 10:30am in Remote/Virtual
MAR
29
2021
Faculty Candidate Seminar
Physics-Based Visual Computing for Efficient 3D Vision and Sensing
David Lindell, Postdoctoral Scholar, Stanford University
12:00pm – 1:00pm in Remote/Virtual
MAR
25
2021
Faculty Candidate Seminar
Artificial Intelligence for Geometry Processing
Rana Hanocka, Ph.D. candidate , Tel Aviv University
9:30am – 10:30pm in Remote/Virtual
MAR
22
2021
Faculty Candidate Seminar
Fair and Reliable Machine Learning for High-Stakes Applications: Approaches Using Information Theory
Sanghamitra Dutta, Ph.D. Candidate, Carnegie Mellon University
9:30am – 10:30am in Remote/Virtual
MAR
17
2021
Faculty Candidate Seminar
Developing and Deploying Gallium Nitride Magnetometers for Harsh Environments
Karen Dowling, Postdoctoral Research Staff, Lawrence Livermore National Laboratory
12:00pm – 1:00pm in Remote/Virtual
MAR
15
2021
Faculty Candidate Seminar
Leveraging Dataset Structure for Neural Network Prediction
Christine Allen-Blanchette, Princeton Presidential Postdoctoral Research Fellow, Princeton University
9:30am – 10:30am in Remote/Virtual
MAR
11
2021
Faculty Candidate Seminar
Reliable Machine Learning in Feedback Systems
Sarah Dean, Ph.D. Candidate, University of California, Berkeley
12:00pm – 1:00pm in Remote/Virtual
MAR
08
2021
Faculty Candidate Seminar
Understanding Human-Centric Sides of Deep AI Models
Bolei Zhou, Assistant Professor, The Chinese University of Hong Kong
12:00pm – 1:00pm
APR
07
2020
Faculty Candidate Seminar
Cross-Layering in Future Wireless Networks: From Compact Full-duplex Radios to City-Scale Experimentation
Tingjun Chen, Ph.D. Candidate, Columbia University
12:00pm – 1:00pm in Remote/Virtual
APR
06
2020
Faculty Candidate Seminar
Small-Data Learning in Big Cyber Physical Systems
Pei Zhang, Associate Research Professor, Carnegie Mellon University
12:00pm – 1:00pm in Remote/Virtual
APR
02
2020
Faculty Candidate Seminar
Large-Scale Optimization and Nonconvexity: From Deep Learning to Energy Markets
Navid Azizan, Ph.D. Candidate, California Institue of Technology
12:00pm – 1:00pm in Remote/Virtual
MAR
31
2020
Faculty Candidate Seminar
Learning from Societal Data: Theory and Practice
Ramya Korlakai Vinayak, Postdoctoral Researcher, University of Washington
12:00pm – 1:00pm in Remote/Virtual
MAR
25
2020
Faculty Candidate Seminar
Canceled: Scalability and Methods of Deep Learning from an Optimization Viewpoint
Kenji Kawaguchi, Ph.D. Candidate, Massachusetts Institute of Technology
11:30am – 1:00pm in Remote/Virtual
MAR
23
2020
Faculty Candidate Seminar
Towards Scalable Algorithms for Distributed Optimization and Learning
Cesar Uribe, Post Doctoral Associate, Massachusetts Institute of Technology
12:00pm – 1:00pm in Remote/Virtual
MAR
17
2020
Faculty Candidate Seminar
Learning Low-complexity Models from the Data – Geometry, Optimization, and Applications
Qing Qu, Moore-Sloan Research Fellow, New York University
12:00pm – 1:00pm in Remote/Virtual
MAR
20
2019
Faculty Candidate Seminar
Sight and Sound
Andrew Owens, Postdoctoral Scholar, UC Berkeley
9:00am
MAR
18
2019
Faculty Candidate Seminar
Information Theoretic Limits in Learning: Applications to Privacy and Security
Daniel Cullina, Postdoctoral Scholar, Princeton University
9:00am
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