Join us for the next talk of the 2023-2024 Distinguished Lectures Series by Professor Cynthia Finelli of the University of Michigan Date: Thursday, April 11, 2024 at 4:00 p.m. in SF1105 Title: Educating Ethical (and socially responsible!) Engineers Abstract: In today’s society, the need to graduate engineers who are conscious of their ethical and professional […]
Join us for the next talk in the 2023-2024 Distinguished Lectures Series by Farnaz Niroui of Massachusetts Institute of Technology Date: March 21, 2024 at 4:00 – 5:00pm in SF1105 Title: Engineering at the Limits of the Nanoscale Abstract: Engineering matter at the extreme nanoscale is key to the development of next-generation devices based on […]
Join us for the next talk in the 2023-2024 Distinguished Lectures Series by Prof. Mahnoosh Alizadeh of University of California, Santa Barbara Date: March 7, 2024 at 4:00 – 5:00pm in SF1105 Title: Safe Learning Methods with Applications in Dynamic Pricing for Demand Management Abstract: The pervasive integration of edge intelligence has provided opportunities for […]
Join us for the next talk in the 2023-2024 Distinguished Lectures Series by Prof. Shafi Goldwasser of University of California, Berkeley. Date: February 29, 2024 at 4:00 – 5:00pm in SF1105 Title: Constructing and deConstructing Trust: A Cryptographers perspective on adversaries in the ML pipeline Abstract: Cryptographic tools and models enable the use of technology […]
Join us for the first talk of the 2023-2024 Distinguished Lectures Series by Professor Dario Farina of Imperial College London Date: Thursday, January 18, 2024 at 4:00 p.m. in SF1105 Title: NeuroMechanics of Human Movement and Neural Interfacing: A Spinal Motoneuron-Centric View Abstract: One of the main limitations in the study of human movement is […]
Professor James Rawlings, University of California, Santa Barbara Title: Economic Optimization of Large-Scale Systems with Model Predictive Control Abstract: Maintaining high standards of living while decreasing our impact on the planet requires both new technologies as well as increasingly efficient operation of these technologies at large scale. This talk presents the central ideas of model predictive […]
Professor Joseph Bardin, University of Massachusetts Amherst Title: Google Quantum AI and The University of Massachusetts Amherst Abstract: Over the past decade, the field of quantum computing has evolved from one primarily known for generating scientific papers to one which promises to enable computations that would not be possible using any other known technology. Following this potential, […]
Professor Susan Lord, University of San Diego Title: Enhancing Learning and Inclusivity in Electrical Engineering Abstract: How can we educate students to be the most effective engineers when they graduate? What does it take to attract a broader range of students to electrical and computer engineering? What curricular efforts could support both of these goals? These are […]
Professor P.P. Vaidyanathan, California Institute of Technology Title: Srinivasa Ramanujan and Signal Processing Abstract: The great mathematician Srinivasa Ramanujan introduced a summation in 1918, today called the Ramanujan-sum. For many years this summation was used by mathematicians to prove important results in number theory. In recent years, some researchers have found applications of this sum in digital […]
Professor Mona Jarrahi – University of California, Los Angeles Title: New Frontiers in Terahertz Technology Abstract: Although unique potentials of terahertz waves for chemical identification, material characterization, biological sensing, and medical imaging have been recognized for quite a while, the relatively poor performance, higher costs, and bulky nature of current terahertz systems continue to impede their deployment […]
Professor Kwabena Boahen, Stanford University Title: Dendrocentric Learning: The Future of Artificial Intelligence Abstract: Artificial Intelligence (AI) now advances by performing twice as many floating-point multiplications every two months, but the semiconductor industry tiles twice as many multipliers on a chip every two years. Moreover, returns from tiling these multipliers ever more densely now diminish because signals […]
Professor Valeria Bertacco, University of Michigan Title: Beyond AI: Societal Opportunities for Future Hardware Design Abstract: Computing hardware has long been a critical component in the advancement of technology. Most recently, we've witnessed an explosive progression in the capabilities and applications of AI, enabled in large part by AI hardware acceleration. Looking beyond the potential benefits of […]
