More 2024 lectures
"Equitable Medical Imaging"
August 21, 2024
Muyinatu A. Lediju Bell is the John C. Malone Associate Professor in electrical and computer engineering at Johns Hopkins University, with appointments in biomedical engineering, computer science and oncology. She founded and directs the Photoacoustic & Ultrasonic Systems Engineering Lab. Bell's research integrates optics, acoustics, robotics and deep learning to develop advanced biomedical imaging systems, including the short-lag spatial coherence beamformer, which improves ultrasound and photoacoustic image quality to benefit diverse patient groups.
"The role of design in socially responsible AI"
April 4, 2024
Jodi Forlizzi is the Herbert A. Simon Professor of Computer Science and Human-Computer Interaction in the School of Computer Science at Carnegie Mellon University. She is also a Faculty Lead in Responsible AI in the Block Center for Technology and Society and the Associate Dean of Diversity, Equity, and Inclusion in the School of Computer Science. Jodi has advocated for design research in all forms, mentoring peers, colleagues, and students in its structure and execution, and today it is an important part of the HCI community.
"Building Capacity and Community for Broadening Participation in Computing"
February 29, 2024
Jamie Payton is a Professor and Chair of the Department of Computer and Information Sciences at Temple University. Her research interests include pervasive computing systems for smart health and well-being, broadening participation of historically excluded groups in computing, and evidence-based approaches to improving computer science education. She is the Director of the STARS Computing Corps, a national alliance of over 70 colleges and universities with a shared mission to develop department, faculty, and student leadership in broadening participation of historically excluded groups in computing.
"Machine Learning Foundations Accelerate Innovation and Promote Trustworthiness"
January 11, 2024
Rebecca Willett is a Professor of Statistics and Computer Science and the Director of AI in the Data Science Institute at the University of Chicago, and she holds a courtesy appointment at the Toyota Technological Institute at Chicago. Her research is focused on machine learning foundations, scientific machine learning, and signal processing.
2023 lectures
"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.
"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.
"Programming Uncertain Computations"
March 23, 2023
Michael Carbin is an Associate Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.
“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.
“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
“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.
“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.
“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.
“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.
“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.
“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.