CISE Distinguished Lecture Recordings

2023 lectures

Laurie Williams lecture
Credit: U.S. National Science Foundation

"How Are We Doing with Adopting Tasks to Reduce Software Supply Chain Risk?"

June 22, 2023

Laurie Williams is a Distinguished University Professor in the Computer Science Department of the College of Engineering at North Carolina State University.

Stephanie Forrest lecture
Credit: U.S. National Science Foundation

"The Biodesign of Computing"

May 18, 2023

Stephanie Forrest is a Professor of Computer Science at Arizona State University, where she directs the Biodesign Center for Biocomputation, Security, and Society.

Michael Carbin lecture
Credit: U.S. National Science Foundation

"Programming Uncertain Computations"

March 23, 2023

Michael Carbin is an Associate Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.

Edward Knightly lecture
Credit: National Science Foundation

“Wireless Networking: From Technology for All to Sub-Terahertz”

February 23, 2023

Edward Knightly is the Sheafor–Lindsay Professor of Electrical and Computer Engineering and Computer Science at Rice University.

Jack Dongarra lecture
Credit: National Science Foundation

“An Overview of High Performance Computing and Future Requirements”

January 31, 2023

Jack Dongarra specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers.

2022 lectures

CISE Distinguished Lecture: Shading Languages and the Emergence of Programmable Graphics Systems
Credit: National Science Foundation

“Shading Languages and the Emergence of Programmable Graphics Systems”

December 15, 2022

Pat Hanrahan is the Canon Professor of Computer Science and Electrical Engineering in the Computer Graphics Laboratory at Stanford University.

Fernanda Viégas lecture
Credit: National Science Foundation

“Harnessing the Power of Data Visualization: From Insight and Storytelling to AI Explanation and Data Art”

November 30, 2022

Fernanda Viégas is Gordon McKay Professor of Computer Science at Harvard, and Sally Starling Seaver Professor at the Radcliffe Institute for Advanced Study.

Cynthia Rudin lecture
Credit: National Science Foundation

“Do Simpler Machine Learning Models Exist and How Can We Find Them?”

October 20, 2022

Cynthia Rudin is the Earl D. McLean, Jr. Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics at Duke University, and directs the Interpretable Machine Learning Lab.

Pete Beckman lecture
Credit: National Science Foundation

“Artificial Intelligence and the Digital Continuum”

May 19, 2022

Pete Beckman is the co-director of the Northwestern University / Argonne National Laboratory Institute for Science and Engineering.

Odest Chadwicke Jenkins lecture
Credit: National Science Foundation

“Semantic Robot Programming and the Irresistible Tastiness of Seed Corn”

March 3, 2022

Odest Chadwicke Jenkins, Ph.D., is a Professor of Computer Science and Engineering and Associate Director of the Robotics Institute at the University of Michigan.

Latanya Sweeney lecture
Credit: National Science Foundation

“How Technology Will Dictate Our Civic Future”

February 10, 2022

Latanya Sweeney is Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, Editor-in-Chief of Technology Science, and director and founder of the Public Interest Tech Lab and of the Data Privacy Lab.