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Lytle Lecture Series

The Dean W. Lytle Electrical & Computer Engineering Endowed Lecture Series is the Department of Electrical & Computer Engineering’s premier annual event, featuring internationally renowned researchers in the field of communications, signal processing, control systems and machine learning. Lectures are free and open to the public.

2020-2021 Lytle Lecture Series

Panel Discussion on Quantum Computing Research

Thursday, November 19, 2020 |  10:30 a.m. – 12:00 p.m. PST    |  Free & open to the public

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The panel will include professor Kai-Mei Fu (UW ECE and UW Physics, UW QuantumX) and industry experts Brent VanDevender, (Pacific Northwest National Laboratory), David Bacon, (IonQ), and Krysta Svore (Microsoft). They will discuss the current state of quantum research.
Quantum Research Panel

Lytle Lecture: “Quantum Computational Supremacy and Its Applications”

Scott AaronsonProfessor, University of Texas at Austin; Director, Quantum Information Center at UT Austin

Thursday, November 19, 2020  |   3:30 – 5:00 p.m. PST   |  Free & open to the public

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Scott Aaronson is the David J. Bruton Centennial Professor of Computer Science at the University of Texas at Austin and the director of the Quantum Information Center at UT Austin. He received his bachelor’s from Cornell University and his PhD from UC Berkeley. Before joining UT Austin, he spent nine years as a professor in electrical engineering and computer science at MIT. Aaronson’s research in theoretical computer science has focused mainly on the capabilities and limits of quantum computers. His first book, Quantum Computing Since Democritus, was published in 2013 by Cambridge University Press. He received the National Science Foundation’s Alan T. Waterman Award, the United States PECASE Award, and the Tomassoni-Chisesi Prize in Physics.


Previous Lectures


Stéphane Mallat Applied Mathematician, Distinguished Research Scientist, Collège de France, Paris; Flatiron Institute, New York

Colloquium Series Lecture:

Tuesday, Dec. 3, 10:30 to 11:30 a.m., ECE 105: “Interpretable Deep Networks for Classification, Generation and Physics

Lytle Lecture:

Tuesday, Dec. 3, 3:30 to 5:30 p.m. (doors open at 3:00 p.m.), Paul G. Allen Center Atrium: “Mathematical Mysteries of Deep Neural Networks


Claire Tomlin

Claire Tomlin Charles A. Desoer Chair in the College of Engineering, professor in electrical engineering and computer science, University of California Berkeley.

Monday, Nov. 5, 3:30 to 4:30 p.m., HUB Lyceum: “Safe learning in robotics”
Tuesday, Nov. 6, 10:30 to 11:30 a.m., EEB 105: “Towards real-time reachability”

Safe Learning in Robotics

Towards Real-Time Reachability


Robert W. Heath Jr.Cullen Trust for Higher Education Endowed Professor in the Department of Electrical and Computer Engineering, University of Texas, Austin

Millimeter Wave Communication: From Origins to Disruptive Applications

Millimeter Wave communication using out-of-band information


David DonohoAnne T. and Robert M. Bass Professor of Humanities and Sciences; Professor of Statistics, Stanford University

Compressed Sensing: From Theory to Practice

High-dimensional statistics in light of the spiked covariance model


David TseProfessor of Electrical Engineering, Stanford University

The Science of Information: From Pushing Bits Over the Air to Assembling World’s Largest Jigsaw Puzzles

Haplotype Phasing, Convolutional Codes and Community Detection


Arogyaswami PaulrajEmeritus Professor, Stanford University

Evolution of Mobile Air Interface Technology

Road to 5G


Stephen P. BoydSamsung Professor of Engineering and Professor of Electrical Engineering, Stanford University

The Science of Better: Embedded Optimization in Smart Systems

Convex Optimization: From Embedded Real-time to Large-Scale Distributed


Alan S. WillskyEdwin Sibley Webster Professor of Electrical Engineering and Computer Science and Director of the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology

Building a Career on the Kindness of Others

Learning & Inference for Graphical & Hierarchical Models: A Personal Journey


Ingrid DaubechiesJames B. Duke Professor of Mathematics, Duke University

Can Image Analysis Detect the Hand of the Master? Wavelets and Applications to the Analysis of Art Paintings

Quantifying the (dis)similarity Between Surfaces


Thomas KailathHitachi America Professor of Engineering, Emeritus, Stanford University

From Radiative Transfer Theory to Fast Algorithms for Cell Phones | Technical Colloquium


Irwin JacobsCo-founder, Qualcomm

From Cell Phones to Smart Phones to Smart Books — An Exciting Journey

Vince Poor


Vince PoorDean of the School of Engineering & Applied Sciences at Princeton University

Competition and Collaboration in Wireless Networks