Category: Seminar

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.

Laura Kim is an assistant professor in the Department of Materials Science and Engineering at UCLA. She presents “Nanophotonic Interfaces for Engineered Quantum Systems: Controlling Plasmons and Spins for Next-Generation Quantum Technologies” Tuesday, Dec. 19 at 1:00pm in LAR 234.

Nasim Soltani is a PhD candidate in the Electrical and Computer Engineering Department at Northeastern University. She presents “Deep Learning for Wireless Communications” Wednesday, Dec. 6 at 1:00pm in LAR 234.

Dr. Bosen Lian is currently an assistant professor with the Electrical and Computer Engineering Department at Auburn University. He presents “Distributed Estimation, Objective Reconstruction, and Efficient Control of Multiagent Systems” Wednesday, Nov. 29 at 3:00pm in LAR 229.

Dr. Yiyu Shi is currently a professor in the Department of Computer Science and Engineering at the University of Notre Dame, the site director of the National Science Foundation I/UCRC Alternative and Sustainable Intelligent Computing, and the director of the Sustainable Computing Lab (SCL). He presents “On-Device AI to Better Mobile and Implantable Devices in Healthcare” Friday, Dec. 1 at 1:00pm in LAR 234.

Chi Ding is currently a third-year mathematics PhD student at the University of Florida. He presents “Learned Alternating Minimization Algorithm for Sparse-View CT Reconstruction: A Multi-Modal Approach” Wednesday, Nov. 15 at 3:00pm in NEB 589.

Dr. Ivan Ruchkin is an assistant professor at the Department of Electrical and Computer Engineering, University of Florida, where he leads the Trustworthy Engineered Autonomy (TEA) Lab. He presents “Calibration Guarantees for Closed-Loop Safety Chance Prediction” Wednesday, Nov. 8 at 3:00pm in NEB 589.

Dr. Chris H. Kim is the Louis John Schnell professor in Electrical and Computer Engineering with the University of Minnesota. He presents “Quantum-inspired Ising Chips for Solving Hard Optimization Problems” Thursday, Nov. 16 at 10:30am in LAR 234.