Keynote Speaker
Dr. Nikolaos M. Freris, Professor

Dr. Nikolaos M. Freris, Professor

Vice Dean of the International College; School of Computer Science, University of Science and Technology of China (USTC)
Speech Title: Intelligent Transportation: Learning in real-time from distributed data

Abstract: Intelligent Transportation is the primordial example of a Cyberphysical System (CPS), that encapsulates a very large network of “smart” devices (possessing sensing, communication, and computation capabilities) controlling physical entities. Besides, the ever-emerging paradigm of AIoT targets solutions that capitalize the computational power of Internet-of-Things (IoT) devices to enable Artificial Intelligence (AI) in system operations.
This keynote will discuss the CPS/AIoT perspective to Intelligent Transportation, which considers real-time learning in a network of agents with distributed data collection. In specific, I will discuss two problems:
a) Real-time learning of travel time densities via online Sparse Kernel Density Estimation
b) Real-time 3D Multi-Object Detection & Tracking from LiDAR point clouds

Biography: Nick Freris is Professor in the School of Computer Science at USTC, and Vice Dean of the International College. He received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens (NTUA), Greece, in 2005, and the M.S. degree in Electrical and Computer Engineering, the M.S. degree in Mathematics, and the Ph.D. degree in Electrical and Computer Engineering all from the University of Illinois at Urbana-Champaign (UIUC) in 2007, 2008, and 2010, respectively. His research lies in AIoT/CPS/IoT: machine learning, distributed optimization, data mining, wireless networks, control, and signal processing, with applications in power systems, sensor networks, transportation, cyber security, and robotics. Dr. Freris has published several papers in high-profile conferences and journals held by IEEE, ACM, and SIAM and holds three patents. His research has been sponsored by the Ministry of Science and Technology of China, Anhui Dept. of Science and Technology, Tencent, and NSF, and was recognized with the National High-level Talent award, the USTC Alumni Foundation Innovation Scholar award, and the IBM High Value Patent award. Previously, he was with the faculty of NYU and, before that, he held senior researcher and postdoctoral researcher positions at EPFL and IBM Research, respectively.
Dr. Freris is a Senior Member of ACM and IEEE, and a member of CCF and SIAM.