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ECE Seminars

ECE Seminars are typically of broad interest to all in Electrical and Computer Engineering.

Upcoming Lectures

Challenges in Circuit-Device Interaction of Compute-in-Memory for AI Chips

Dr. Meng-Fan (Marvin) Chang, IEEE Fellow, Director, Corporate Research of TSMC

12:30pm – 1:30pm in 1005 EECS Building

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Past Lectures

Challenges and opportunities in automotive power electronics

1:00pm – 2:30pm in 1012 EECS

Peeking Inside Black Boxes: Understanding Depression Recovery with Deep Brain Stimulation Using Explainable AI

Christopher Rozell, Professor of Electrical & Computer Engineering, Georgia Institute of Technology

9:00am – 10:00am in 1003 EECS Building

Wireless Beams for Sustainable and Responsive Infrastructures

Aline Eid, Postdoctoral Associate, Massachusetts Institute of Technology

9:00am – 10:00am in 1005 EECS Building

Towards Network-Accelerator Co-Search for Promoting Ubiquitous on-Device Intelligence and Green AI

Yingyan Lin, Assistant Professor, Rice University

9:00am – 10:00am in 1005 EECS Building

Radiating systems in the near and far field for next generation wireless links: key innovations and novel paradigms

Mauro Ettorre, CNRS Research Scientist, CNRS

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

Nonlinear optics in quantum materials

Yang Zhang, Senior Postdoctoral Associate, Massachusetts Institute of Technology

9:00am – 10:00am in 1005 EECS Building

The role of experience replay in planning and non-local learning

Marcelo G Mattar, Assistant Professor, University of California, San Diego

9:00am – 10:00am in 3427 EECS

Extreme electromagnetics: analog computation, topological protection, and nonreciprocity

Dimitrios Sounas, Assistant Professor, Wayne State University

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

Embracing Low Inertia in Power System Frequency Control: A Frequency Shaping Approach

Enrique Mallada, Assistant Professor, Johns Hopkins University

9:00am – 10:00am in 1005 EECS Building

Nonlinear Topological Photonics

Mikael Rechtsman, Associate Professor, The Pennsylvania State University

9:00am – 10:00am in 3427 EECS

Understanding Overparameterization through Feature Covariance and High-dimensional Analysis

Samet Oymak, Assistant Professor, University of California, Riverside

9:00am – 10:00am in EWRE 104

Empowering the Next Billion Devices with Deep Learning

Mi Zhang, Associate Professor, Michigan State University

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

Inverse Graphics for Next-Gen Video Communication

Soumyadip Sengupta, Postdoctoral Research Associate, University of Washington, Seattle

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

Robust and Adaptive Online Decision Making

Chen-Yu Wei, Ph.D. Student, University of Southern California

9:00am – 10:00am in 1005 EECS Building

Randomized Methods for Data Discovery and Decomposition

Hayden Schaeffer, Associate Professor, Carnegie Mellon University

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

Embedded Intelligence Towards Smarter and Healthier Environments

Stephen Xia, Ph.D. Candidate, Columbia University

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

Standalone stretchable device platform for human health monitoring

Huanyu “Larry” Cheng, Assistant Professor, Penn State University

9:00am – 10:00am in 1006 Dow Building

Power-system Modeling & Control for the Era of Inverter-based Resources

Sairaj Dhople, Associate Professor, University of Minnesota

9:00am – 10:00am in 1005 EECS Building

Power Electronics Meet Piezoelectrics: Unlocking a New Era of Scalability

Jessica Boles, Ph.D. Candidate and Collamore-Rogers Fellow, Massachusetts Institute of Technology

9:00am – 10:30am in 1690 Beyster Building

Engineering Nanophotonic Interfaces to Control Plasmons and Spins

Laura Kim, IC Postdoctoral Fellow, Massachusetts Institute of Technology

9:00am – 10:00am in 1010 Dow Building

Quantum Information Science and Engineering: Beating the Classical Limits with Entanglement

Zheshen Zhang, Assistant Professor, University of Arizona

9:00am – 10:30am in 1006 Dow Building

Efficient and Safe Integration Between Learning and Control in Physical Systems

Yingying Li, Postdoc Researcher, University of Illinois at Urbana-Champaign

9:00am – 10:00am in 1005 EECS Building

Closed-Loop Data Transcription via Rate Reduction

Yi Ma, Professor, University of California, Berkeley

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

Distributed Learning, Control, and Inference in Large-Scale Systems.

Aritra Mitra, Postdoctoral Researcher, University of Pennsylvania

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

Topology-Driven Learning for Biomedicine and Beyond

Chao Chen, Assistant Professor , Stony Brook University

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

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