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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.

Sponsors

Events for 2024

Communications and Signal Processing Seminar

Accelerated Optimization for Dynamic MRI Reconstruction with Locally Low-Rank Regularizers

Jeff Fessler, William L. Root Collegiate Professor, Electrical Engineering and Computer Science, University of Michigan

Communications and Signal Processing Seminar

Transfer learning for contextual multi-armed bandits

Changxiao Cai, Assistant Professor, Industrial & Operations Engineering, University of Michigan

Communications and Signal Processing Seminar

Foundation Models AAA: Acceleration, Application, Adversary

Amin Karbasi, Associate Professor of Electrical Engineering & Computer Science, Yale, School of Engineering and Applied Science

Communications and Signal Processing Seminar

On False Positive Error

Venkat Chandrasekaran, Professor of Computing and Mathematical Sciences and Electrical Engineering, California Institute of Technology

Communications and Signal Processing Seminar

Re-engineering the Uplink for Next Generation Multiple Access

Krishna Narayanan, Professor, Electrical & Computer Engineering, Texas A&M University

Communications and Signal Processing Seminar

Select Topics Associated with 3D Scanning by Means of Structured Light Illumination

Daniel Lau, Professor, Electrical and Computer Engineering, University of Kentucky

Communications and Signal Processing Seminar

Formal privacy guarantees for optimization datasets in power systems

Vladimir Dvorkin, Assistant Professor, Electrical Engineering and Computer Science, University of Michigan

Communications and Signal Processing Seminar

Image Restoration through Inversion by Direct Iteration (InDI)

Mauricio Delbracio, Research Scientist, Google Research

Communications and Signal Processing Seminar

Distributed learning on correlated data with communication constraints

Carlee Joe-Wong, Associate Professor, Electrical and Computer Engineering, Carnegie Mellon University

Communications and Signal Processing Seminar

Seminar by Clay Scott has been rescheduled for Fall, 2024

Communications and Signal Processing Seminar

Edge and IoT-supported Intelligent Augmented Reality: Promise, Challenges, and Solutions

Maria Gorlatova, Assistant Professor of Electrical and Computer Engineering,, Assistant Professor of Computer Science, Duke University

Communications and Signal Processing Seminar

Data-Analytic Opportunities and Challenges in Solar Eruption Forecasting

Yang Chen, Assistant Professor of Statistics, Research Assistant Professor for MIDAS, University of Michigan

Communications and Signal Processing Seminar

Stochastic Optimisation Methods Applied to Image Reconstruction: results, software and outlook.

Kris Thielemans, Professor, University College London, Department of Imaging

Communications and Signal Processing Seminar

Novel Technologies for Accelerated MRI

Nick Dwork, Assistant Professor, University of Colorado Anschutz

Communications and Signal Processing Seminar

Interdependent privacy in third-party apps: past, present, and future

Gergely Biczok, Associate Professor, Budapest University of Technology and Economics

Communications and Signal Processing Seminar

Permutation-Free Kernel Hypothesis Tests

Shubhanshu Shekhar, Assistant Professor, Electrical Engineering and Computer Science

Communications and Signal Processing Seminar

Computational Imaging through Atmospheric Turbulence

Stanley Chan, Nick Chimitt, Elmore Professor of ECE, Research Scientist, Purdue University

Communications and Signal Processing Seminar

A Statistical Framework for Private Personalized Federated Learning and Estimation

Suhas Diggavi, Professor, University of California, Los Angeles

Communications and Signal Processing Seminar

Understanding Distribution Learning of Diffusion Models via Low-dimensional Modeling

Peng Wang, Postdoc Research Fellow, Electrical Engineering and Computer Science

Communications and Signal Processing Seminar

Approximate independence of permutation mixtures

Yanjun Han , Assistant Professor , New York University

Communications and Signal Processing Seminar

Toward (Truly) Resilient Computing and Communications in 6G Mobile Systems

Francesco Restuccia, Assistant Professor of Electrical and Computer Engineering, Northeastern University

Communications and Signal Processing Seminar

Domain Counterfactuals for Explainability, Fairness, and Domain Generalization

David I. Inouye, Assistant Professor, ECE, Purdue University

Communications and Signal Processing Seminar

Label Noise: Ignorance is Bliss

Clay Scott, Professor, Electrical Engineering and Computer Science

Communications and Signal Processing Seminar

Deep Representation Interface for Engineering Problems

Xiangxiang Xu, Postdoctoral Associate, Massachusetts Institute of Technology

Communications and Signal Processing Seminar

What’s in my networks? On learned proximals and testing for interpretations

Jeremias Sulam, Assistant Professor, Johns Hopkins University, BME

Communications and Signal Processing Seminar

Adventures in PCA for Heterogeneous Data: Optimal Weights and Rank Estimation

David Hong, Assistant Professor, University of Delaware

Communications and Signal Processing Seminar

Quantum Bayesian Framework for Efficient Storage of Quantum Information

Sandeep Pradhan, Professor, Electrical Engineering and Computer Science

Communications and Signal Processing Seminar

Recent Advances in Average-Reward Restless Bandits

Weina Wang, Assistant Professor, Carnegie Mellon University

Communications and Signal Processing Seminar

Transformer Meets Nonparametric Kernel Regression

Tan Minh Nguyen, Assistant Professor, National University of Singapore

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