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ECE Communications and Signal Processing

CSP Seminar Series

The Communications and Signal Processing (CSP) Seminars feature invited speakers that span the areas of Network, Communication, and Information Systems and Signal & Image Processing and Machine Learning.

Areas of focus include: Algorithmic Game Theory, Communications, Data Science (theory + applied), Economics, Machine Learning, Networks, Network Science, Portfolio Management, Reinforcement Learning

Watch past lectures on the CSP Youtube Channel here.

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Upcoming Seminars

There are no events currently scheduled.

Past Seminars

Communications and Signal Processing Seminar

Demystifying and Mitigating Unfairness for Machine Learning over Graphs

Yanning Shen, Assistant Professor, Electrical Engineering & Computer Science, University of California, Irvine

3:00pm – 4:00pm in 3316 EECS

Communications and Signal Processing Seminar

Machine Learning challenges in Metrology in Semiconductor Device Industry

Min-Yeong Moon, Lead Algorithm Engineer , KLA

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Uncovering the Law of Data Separation in Deep Learning

Weijie Su, Associate Professor of Statistics and Data Science, University of Pennsylvania

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Best of three worlds? Bias and extrapolation in constant-step size stochastic approximation

Qiaomin Xie, Assistant Professor, Industrial and Systems Engineering, University of Wisconsin-Madison

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Deep Learning Meets Sparse Regularization: A Signal Processing Perspective

Rob Nowak, Professor, Electrical and Computer Engineering, University of Wisconsin-Madison

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Explainable AI via Semantic Information Pursuit

René Vidal, Director, Center for Innovation in Data Engineering and Science (IDEAS), University of Pennsylvania

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Load Balancing under Data Locality: Extending Mean-Field Framework to Constrained Large-Scale Systems

Debankur Mukherjee, Assistant Professor, H. Milton Stewart School of Industrial and Systems Engineering, Georgia Tech.

10:00am – 11:00am in 1012 EECS

Communications and Signal Processing Seminar

Implicit Geometry of Large Classification Models: Imbalance Trouble

Christos Thrampoulidis, Assistant Professor, Electrical and Computer Engineering, University of Brittish Columbia

9:15am – 10:15am in Remote/Virtual

Communications and Signal Processing Seminar

Cancelled: Implicit Geometry of Large Classification Models: Imbalance Trouble

Christos Thrampoulidis, Assistant Professor, Electrical and Computer Engineering, The University of British Columbia

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Evaluating Unsupervised Denoising Requires Unsupervised Metrics

Carlos Fernandez-Granda, Associate Professor of Mathematics and Data Science, Courant Institute of Mathematical Sciences and the Center for Data Science, New York University

9:15am – 10:15am in Remote/Virtual

Communications and Signal Processing Seminar

Understanding the Universality Phenomenon in High- Dimensional Estimation and Learning: Some Recent Progress

Yue M. Lu, Gordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard John A. Paulson School of Engineering and Applied Sciences

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Reinforcement Learning with Robustness and Safety Guarantees

Dileep Kalathil, Assistant Professor, Electrical & Computer Engineering, Texas A&M University

9:15am – 10:15am in 1690 Beyster Building

Communications and Signal Processing Seminar

Dynamic Pricing and Matching for Online Marketplaces

Sushil Varma, Ph.D. Student – Operations Research, Georgia Institute of Technology

9:00am – 10:00pm in 1690 Beyster Building

Communications and Signal Processing Seminar

Deep Networks and the Multiple Manifold Problem

Sam Buchanan, Research Assistant Professor, Toyota Technological Institute at Chicago

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Advancing Machine Learning for Imaging: Regularization and Robustness

Saiprasad Ravishankar, Assistant Professor, Biomedical Engineering and Computational Math Science and Engineering, Michigan State University

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Opportunistic Integrated Communication and Weather Sensing

Hagit Messer-Yaron, Professor, Electrical Engineering, The Kranzberg Chair in Signal Processing, Tel Aviv University

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Learning from Noisy Labels without Knowing Noise Rates

Yang Liu, Assistant Professor, Computer Science and Engineering, UC Santa Cruz

4:00pm – 5:00pm

Communications and Signal Processing Seminar

Accelerating Ill-conditioned Low-rank Estimation via Scaled Gradient Descent

Yuejie Chi, Professor, Electrical and Computer Engineering, Carnegie Mellon University

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Sparse Neural Networks: From Practice to Theory

Atlas Wang, Assistant Professor, Electrical and Computer Engineering, The University of Texas at Austin

4:00pm – 5:00pm in Remote/Virtual

Communications and Signal Processing Seminar

Method of Moments: From Sample Complexity to Efficient Implicit Computations

João M. Pereira, Assistant Professor, Instituto de Matemática Pura e Aplicada, in Rio de Janeiro, Brazil

4:00pm – 5:00pm in Remote/Virtual

Communications and Signal Processing Seminar

A New Embedding Framework to Design Consistent Surrogate Losses

Rafael M. Frongillo, Assistant Professor, University of Colorado Boulder

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Robust Learning by Double Over-Parameterization

Chong You, Research Scientist, Google NYC

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Principles of Deep Representation Learning via Neural Collapse

Qing Qu, Assistant Professor, Electrical Engineering and Computer Science, University of Michigan

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Blessing of Nonconvexity in Factorized Models

Salar Fattahi, Assistant Professor, UM Industrial and Operations Engineering

4:00pm – 5:00pm in 1008 EECS Building

Communications and Signal Processing Seminar

Pramod Viswanath, Gilmore Family Endowed Professor, ECE at University of Illinois, Urbana-Champaign

4:00pm – 5:00pm in Remote/Virtual

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