Distinguished Lecture Series

Ryan Quint, PhD, PE, North American Electric Reliability Corporation (NERC) Online through Zoom RSVP or Dr. Quint's Lecture. Title: Ensuring Reliability, Resilience, and Security under Rapid Grid Transformation Abstract: The electricity sector is experiencing a profound transformation toward clean energy solutions and new technologies. Yet the grid is also faced with increasing challenges such as extreme weather, […]

Frank O’Mahony, Intel January 27, 2022 4:00 p.m. Title: Scaling SerDes Beyond 100Gb/s in Advanced CMOS Technologies RSVP: Use this link to RSVP for the lecture Abstract: Over the past two decades, high-speed wireline data rates have doubled every three-to-four years to keep pace with aggregate system bandwidth requirements. Communication standards for networking and storage, like Ethernet […]

Professor Domitilla Del Vecchio, MIT RSVP: Use this link to RSVP for the lecture. Title: Control Theory for Synthetic Biology Abstract: Engineering biology has tremendous potential to impact applications ranging from energy, to environment, to health. As the sophistication of engineered biological networks increases, the ability to predict system behavior becomes more limited. In fact, while a system’s […]

Professor W.C. Chew, Purdue University March 17, 2022 4:00 p.m. RSVP for Prof. Chew’s lecture. Title: Classical and Quantum Electromagnetics: What is the Difference? Abstract: Electromagnetics has influenced electrical engineering pervasively since the advent of Maxwell’s equations in 1865 .  Classical electromagnetics has impacted electrical engineering technologies all the way from statics to optics.   It has influenced […]

Professor Kunle Olutokun, Stanford University March 24, 2022 4:00 p.m. EDT RSVP to Prof. Olukotun’s lecture. Title: Let the Data Flow! Abstract: As the benefits from Moore’s Law diminish, future computing performance improvements will rely on specialized application accelerators. To justify the expense of designing an accelerator it should accelerate an important set of application areas. In […]

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 […]

Professor Robert Tibshirani, Stanford University Online through zoom RSVP for Prof Tibshirani's Lecture Title: Data Science, Statistics, and Health with a Focus on Statistical Learning and Sparsity Abstract: First I will discuss some general issues in the application of statistics to biomedicine. These include the importance of transparency, reproducibility and  simplicity. Then I will cover some recent […]

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 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 […]