The Warren B. Nelms Institute for the Connected World Presents Susmita Sur-Kolay: “Quantum Computing: Synthesis Challenges and Impact on IoT Security,”
Thursday, July 11 @ 11am, 234 Larsen Hall.
Nikolaos P. Papanikolopoulos (IEEE Fellow) is a McKnight Presidential Endowed Professor and a Distinguished McKnight University Professor in the Department of Computer Science at the University of Minnesota and Director of the Center for Distributed Robotics and SECTTRA. He presents “From Ground Robots to Transformable UAVs: Applications to Precision Agriculture,” Wednesday April 17 @ 10:00 am, 221 MAE-A.
Nikolaos P. Papanikolopoulos is a McKnight Presidential Endowed Professor and a Distinguished McKnight University Professor in the Department of Computer Science at the University of Minnesota. He presents “Computer Vision and Machine Learning for Cancerous Tissue Recognition” Thursday, April 18 at 11:45 am in LAR 310.
Elie Bursztein leads Google’s anti-abuse research. He presents “How to Successfully Harness AI to Combat Fraud and Abuse,” Wednesday March 13, 9:00 am, at the Reitz Union Chamber.
Jeyanandh Paramesh is currently Associate Professor of Electrical and Computer Engineering at Carnegie Mellon University. He presents “Integrated Systems for the Beyond-5G Era: Circuits, Technologies and Algorithms,” Thursday, March 14 @ 11:45 am,
Yanning Shen, PhD candidate at UMN, presents “Online Scalable Learning Adaptive to Unknown Dynamics and Graphs” on Thursday, March 7, 11:45 am, in LAR 234.
The Walter G. Fredrickson Distinguished Interdisciplinary Lecture Series at the University of Florida presents: Dr. Hany Farid, “Fake Photos” on Thursday, March 28 at 11:45 am, LAR 310.
Dr. Jose Rivera is currently a postdoctoral scholar in Physics at the University of California, Berkeley. He presents “Engineering Light for Advanced Biophotonics” Thursday Feb. 21 at 2:00 pm, LAR 234.
Li (Liliane) Wang is a professor at the School of Electronic Engineering, Beijing University of Post and Telecommunications (BUPT). She presents “A Scalability Perspective for Wireless Caching Networks,” Thursday, Feb. 14, 5:00 pm, LAR 234.
Yunye Gong is a Ph.D. candidate in Electrical and Computer Engineering at Cornell University. She presents “Computational image understanding via statistical inference and machine learning” Thursday, Feb. 28 @ 11:45 am, LAR 310.