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All Seminars

Upcoming Seminars

Considering the Spatiotemporal Vulnerability of Low-Carbon Power Grids using a Case Study for New York State

Lindsay Anderson, Professor, Department Chair, Biological and Environmental Engineering

9:00am – 10:00am in 3427 EECS Building

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Generative AI for Agile Hardware Development

PROF. ZHANGXI TAN, Co-Director at RISC-V International Open-Source Laboratory (RIOS Lab)

11:00am – 12:00pm in 1200 EECS Building

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Past Seminars

CUOS Seminar | Optics Seminar

Noon Seminar Dr. Erik Power LLE: Flow-Cell concept

Control Seminar

Frontiers of Autonomous Space Systems: Navigating the Future of Exploration and Technology

Giusy Falcone, Assistant Professor, Aerospace Engineering, University of Michigan

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

Faculty Candidate Seminar

Towards Practical Superconducting Computing with Technology-Driven Optimizations

Jennifer Volk, Ph.D. Candidate, University of California, Santa Barbara

Control Seminar

Low Gain Feedback for Linear Systems: Input Saturation and Input Delay

Zongli Lin, Professor of Electrical and Computer Engineering, University of Virginia

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

AI for Medical Imaging and Bioinformatics

Liyue Shen, Assistant Professor, Electrical and Computer Engineering

Annual Ethical AI Symposium 2024

Control Seminar

Systems Integration Solutions for the Grid of the Future

Radha Krishna Moorthy, R&D Associate Staff Mem ber, Oak Ridge National Laboratory, TN

APR

04

2024

ECE Distinguished Seminar Series

Images, Videos and Artificial Intelligence

Scott Acton, Lawrence R. Quarles Professor and Chair of Electrical & Computer Engineering, University of Virginia

Quantum Science Seminar

Engineering of atomic and solid-state quantum emitters for sensing

Jennifer Choy, Assistant Professor, Electrical and Computer Engineering, UW–Madison

Faculty Candidate Seminar

Power Electronics Hardware Accelerating Grid Technology Evolution and Deployment

Fei Lu, Assistant professor in the Department of Electrical and Computer Engineering, Drexel University

To Ignition and Beyond

Dr. Denise Hinkel

Real-world experience balancing the grid with demand-side flexibility

Stephanie Crocker Ross, Data Scientist,
Energy Hub

Paul Hines, VP, Power Systems,
EnergyHub

Faculty Candidate Seminar

Towards Provably Safe and Secure Systems with Contract-Based Design

Inigo Incer, Postdoctoral Scholar Research Associate, California Institute of Technology

Control Seminar

Leveraging Data and the Koopman Operator to Make Soft Robots More Capable

Daniel Bruder, Assistant Professor, Mechanical Engineering, University of Michigan

Communications and Signal Processing Seminar

Seminar by Clay Scott has been rescheduled for Fall, 2024

Faculty Candidate Seminar

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Ke Sun, Ph.D. Candidate, University of California, San Diego

Quantum Science Seminar

Quantum Processors and Quantum Networks Atom-by-Atom

MAR

27

2024

Distinguished Lecture

The pursuit of better memory and computing systems: from ions to chips

Wei Lu, James R. Mellor Professor of Engineering, University of Michigan

Faculty Candidate Seminar

Building the Infinite Brain

Raghavendra Pradyumna Pothukuchi, Associate Research Scientist, Yale University

Faculty Candidate Seminar

White-Box Computational Imaging: Measurements to Images to Insights

Sara Fridovich-Keil, Postdoctoral Scholar, Stanford University

Control Seminar | MPEL Seminar

Grid Integration of Distributed Energy Resources: Aggregate Flexibility Quantification and Market Participation

Bai Cui, Assistant Professor, Electrical and Computer Engineering, Iowa State University

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

Quantum Science Seminar

Quantum Research Institute Seminar | Demonstration of algorithmic quantum speedup

Daniel Lidar, USC, Viterbi Professor of Engineering, USC

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