Dept. of Information Management & Business Analytics
School of Business Montclair State University, USA
John Wang, Ph.D, works in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions, Prof. Wang has been honored with two special range adjustments in 2006 and 2009 respectively. He has published over 100 refereed papers and more than ten books. He has also developed several computer software programs based on his research findings.
He is the Editor-in-Chief of Int. J. of Information Systems and Supply Chain Management and International Journal of Applied Management Science. Also, he is the Editor of Encyclopedia of Business Analytics and Optimization (five-volume), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.
Department of Information Technology
Techno India College of Technology,Kolkata, INDIA
Dr. Nilanjan Dey, is an Assistant Professor in Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Duy Tan University, Vietnam, He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his Ph.D. from Jadavpur University in 2015. He has authored/edited more than 55 books with Elsevier, Wiley, CRC Press, and Springer, and published more than 300 papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global, Associate Editor of IEEE Access and International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer Nature, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of International Federation for Information Processing (IFIP) – Young ICT Group. Recently, he has been awarded as one among the top 10 most published academics in the field of Computer Science in India (2015-17)
Prof. Weiwen Deng
Beijing University of Aeronautics and Astronautics
Prof. Weiwen Deng is a distinguished professor at Beihang University, Fellow of China SAE. Currently he serves as Chair of Intelligent Driving Committee of Chinese Association for Artificial Intelligence (CAAI) and Vice Chair of Intelligent Vehicle and Robot Committee of China Instrument and Control Society (CIS). Previously he served as Dean of Transportation Science and Engineering of Beihang University, Executive Director of Automotive Research Institute of Jilin University, and Acting Director of Hong Kong Automotive Parts & Accessory R&D Center since 2010, and was a senior researcher in GM R&D Center since 1996. His primary research areas are in electric and intelligent vehicles, dynamics and controls, and modeling and simulation technologies. Currently he also serves as Editor-in-Chief of International Journal of Vehicle Autonomous Systems, Associate Editors of International Journal of Vehicle Design, Journal of Vibration and Control, and editorial board members of several prestigious international journals.
Proposed Talk Title:
Human-Vehicle-Environment Interaction: Key Technologies and Challenges of Intelligent Driving
This talk is to discuss some of the challenging issues faced by intelligent driving, in particular, the interaction among human, vehicle and environment. Some of the recent development and progress achieved on the key technologies will also be presented, such as human-vehicle co-piloting, artificial intelligence (AI)-related and simulation-based testing and validation methodology, and etc.