Category: Events

Dr. Takahiro Tsunoda is a postdoctoral associate at Yale University, specializing in superconducting circuits and bosonic quantum error correction. He presents “Fault Tolerance in Quantum Electrical Circuits” Monday, March 11 at 1:00pm in MALA 5050.

Dr. Jesse Moody is a Principal Member of the Technical Staff at Sandia National Laboratory. He presents “Energy-Efficient RF Systems at the Edge” Thursday, March 7 at 11:00am in MALA 5050.

Dr. Kin Chung Fong is a senior scientist at Raytheon BBN (Cambridge, MA) and a research associate at the Physics Department at Harvard University. He presents “An Interdisciplinary Approach to Advance Quantum Science and Technology” Friday, March 1 at 1:00pm in LAR 234.

Dr. Emiliano Dall’Anese is an Associate Professor in the ECEE Department at the University of Colorado Boulder. He presents “Advancing AI and Automation via Learning-based Online Optimization and Control” Monday, Feb. 26 at 1:00pm in LAR 234.

Students will get the unique chance of asking a world-renowned innovator and entrepreneur—Dr. Sachio Semmoto—about his life, his career path, and anything else on Monday, Feb. 19. The Q&A session with Dr. Semmoto will be held at 11:00am in the NVIDIA Auditorium in Malachowsky Hall and will be an in-person only event.

Explore the dynamic landscape of modern computing with an engaging seminar featuring an overview of the computing industry from AMD, Thursday, Feb. 8 at 1:00pm in LAR 234.

Dr. Mingyue Ji is currently an associate professor in the Department of Electrical and Computer Engineering at the University of Utah. He presents “AI at the Edge: Analysis, Operation, and Implementation” Tuesday, Jan. 30 at 1:00pm in LAR 234.

Dr. Rickard Ewetz is an Associate Professor in the Electrical and Computer Engineering (ECE) Department at the University of Central Florida. He presents “Towards Efficient and Artificial General Intelligence using In-Memory Computing” Tuesday, Jan. 23 at 1:00pm in LAR 234.

Dr. Jie Xu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Miami. He presents “Federated Learning via Indirect Communications” Tuesday, Jan. 9 at 1:00pm in LAR 234.

Dr. Junyu Liu is a quantum scientist affiliated with the University of Chicago and IBM. He presents “Quantum AI: From near-term to fault-tolerance” Tuesday, Jan. 16 at 1:00pm in LAR 234.