Yong Liang Guan, Nanyang Technological University and NTU-NXP Smart Mobility Lab and Schaeffler Hub for Advanced Research (SHARE) at NTU
Dr. Yong Liang Guan (http://www.ntu.edu.sg/home/eylguan/) obtained his PhD degree from the Imperial College of London, UK, and Bachelor of Engineering degree with first class honors from the National University of Singapore. He is a tenured associate professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is now the Head of two industry collaboration labs: NTU-NXP Smart Mobility Lab and Schaeffler Hub for Advanced Research (SHARE) at NTU. His research interests broadly include coding and signal processing for communication systems and data storage systems. He is an Associate Editor of the IEEE Transactions on Vehicular Technology. He has led 18 past and present externally funded research projects on V2V/V2I communication, wireless communication signal processing, coding for 10Tb/in^2 magnetic recording, acoustic telemetry for drilling application, etc., with total funding of over SGD 24 million. He has 2 granted patents.
Presentation: NTU-NXP Smart Mobility Test-Bed: A Campus-Wide Infrastructure for Connected Cars
V2X (vehicle to everything) communication refers to a new vehicular WiFi technology that allows moving cars to communicate not just directly with each other, but also with “access points” installed on lamp poles or roadside infrastructure. This technology promises to enhance road safety, cut driving time, save fuel, augment GPS, drive big data, and enable new road pricing. International standards have been defined. Market products have emerged. In this talk, I will give an overview of a campus-wide V2X test-bed jointly developed by NTU and NXP that conforms to the IEEE WAVE standard suite, the full-stack applications that the test-bed is capable of supporting, the V2X standardization landscape, and outline some research projects related to this program.
Wenbin Dai, Shanghai Jiao Tong University, and SJTU-Rockwell Automation Joint Research Lab
Wenbin Dai is an expert in Industry 4.0 and reasoning.
Wenbin (William) Dai is an Associate Professor at Shanghai Jiao Tong University, China and Director of SJTU-Rockwell Automation Joint Research Lab. He received a Bachelor of Engineering (with honours) degree in Computer Systems Engineering from the University of Auckland, New Zealand in 2006. He completed PhD in Electrical and Electronic Engineering at the Department of Electrical and Computer Engineering, The University of Auckland, New Zealand in 2012. He was a Postdoc Fellow at Lulea University of Technology, Sweden from 2013 to 2014 and involved in the European IoT project – Arrowhead. He was also a software engineer from Glidepath Limited – a New Zealand based airport baggage handling system provider from 2007 to 2013. From 2014, he joined Shanghai Jiao Tong University, China and has been awarded with several projects in industrial automation and medical informatics. His research interests are distributed automation software architecture and design, industrial cyber-physical systems, semantic web technologies in industrial automation and industrial software agents.
Presentation: Enabling Intelligence in Industrial Internet-of-Things by Knowledge-Driven Service-Oriented Agents
Jiewen Wu, A*STAR Artificial Intelligence Programme, and Institute for InfoComm Research
Jiewen Wu is an expert in knowledge representation and machine learning for AI.
Jiewen Wu is a scientist at the A*STAR Artificial Intelligence Programme and the Institute for InfoComm Research, Singapore. Before joining A*STAR, he was a leading research scientist at Accenture Labs in Ireland, and, previous to Accenture, a researcher at IBM Research. In his roles, he built intelligent solutions to real-world problems in various domains, such as public transportation, health care, and corporate finance, among others. His research interests include semantic technologies, knowledge representation, and machine learning. He received his PhD from the University of Waterloo.
Presentation: Artificial Intelligence for IoT Analytics: Challenges and Opportunities