Dr. Justin Dauwels is an Associate Professor of the School of Electrical and Electronic Engineering at the Nanyang Technological University (NTU) in Singapore. He also serves as Deputy Director of the ST Engineering – NTU corporate lab, which comprises 100+ PhD students, research staff and engineers, developing novel autonomous systems for airport operations and transportation.
His research interests are in data analytics with applications to intelligent transportation systems, autonomous systems, and analysis of human behaviour and physiology. He obtained his PhD degree in electrical engineering at the Swiss Polytechnical Institute of Technology (ETH) in Zurich in December 2005. Moreover, he was a postdoctoral fellow at the RIKEN Brain Science Institute (2006-2007) and a research scientist at the Massachusetts Institute of Technology (2008-2010). He has been a JSPS postdoctoral fellow (2007), a BAEF fellow (2008), a Henri-Benedictus Fellow of the King Baudouin Foundation (2008), and a JSPS invited fellow (2010, 2011).
His research on intelligent transportation systems has been featured by the BBC, Straits Times, Lianhe Zaobao, Channel 5, and numerous technology websites. His research team has won several best paper awards at international conferences, and the research results have been published in top journals such as Science and Brain. Besides his academic efforts, the team of Dr. Justin Dauwels also collaborates intensely with local start-ups, SMEs, and agencies, in addition to MNCs, in the field of data-driven transportation and logistics.
Presentation: Towards the next-generation fleet management systems
There is considerable interest related to management of fleet of autonomous vehicles in both academia and industry. Robust and reliable commercial deployment of fleet of autonomous vehicles is impeded by the lack of the following two technologies. First, an integrated approach is lacking that can encompass all different aspects of the problem, including mobility models of vehicles, communication network and application environment, customer demand prediction, and real-time information about the transportation network.
Second, autonomous vehicles are still in trial phase, hence sufficient realistic field data may not be available in next few years. An integrated simulator can prove highly useful in bridging that gap. Such simulators would still be highly useful once the technology matures as they would provide an effective platform for developing further applications involving fleets of autonomous vehicles.
In this presentation, we will give an overview of our progress in both these directions.
Dr. Bernard Leong is the Head of Post Office Network and Digital Services for Singapore Post Pte Ltd, where he oversees the post offices network in Singapore and digital strategy across the organisation, manages the existing portfolio of products and builds the next generation digital products that integrates cross functionally with other business units in the organisation. Prior to that, he was a serial entrepreneur who started companies in both UK and Singapore. While not in his corporate hat, he’s a connector to the Southeast Asia entrepreneurial ecosystem as an entrepreneur in residence in INSEAD Business School and the founder of Analyse Asia, a weekly podcast focusing on the business, technology & media in Asia.
Presentation: How to make the autonomous future for Transportation work with IoT infrastructures.
John E. Taylor
Prof. John E. Taylor – John E. Taylor is the inaugural Frederick Law Olmsted Professor of Civil and Environmental Engineering at the Georgia Institute of Technology. Dr. Taylor received his PhD in 2006 from Stanford University on the topic of innovation in architecture, engineering and construction industry networks, and his research continues to explore such network dynamics. At Georgia Tech he is the founder and Director of the Network Dynamics Lab (http://ndl.gatech.edu/), which examines industrial and societal dynamics associated with information system integration, industry globalization, workforce virtualization, shifting workforce demographics, energy conservation in and across buildings, and human mobility during natural disasters. Dr. Taylor has authored over 200 technical publications, including publishing over 75 journal manuscripts. His research publications have won a number of conference and journal best paper awards, including five journal best paper awards. He was awarded the ASCE Thomas Fitch Rowland Research Prize in 2009 and the ASCE Daniel W. Halpin Award in 2015 for his scholarship. Dr. Taylor serves on four editorial boards that span computer science, civil engineering and organizational studies, including two as Associate Editor. He has guest edited two journal special issues, most recently a special issue in the ASCE Journal of Computing in Civil Engineering on “Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment” in 2014. For his service, in 2013 he received the Distinguished Service Award from the Engineering Project Organization Society. Prior to entering academia Dr. Taylor worked in industry as a project manager and was the founder of two technology startups in the civil engineering field. Still engaged in entrepreneurship, Dr. Taylor serves on the Advisory Board for three technology startups.
Presentation: “Engineering Smart Cities: Integrating IoT into Smart City Digital Twins”
Dr. Prof. Luca Urciuoli – Luca Urciuoli is Associate Professor at KTH Royal Institute of Technology, Department of Industrial Economics and Management, Stockholm and Adjunct Professor at the MIT International Logistics program in Zaragoza, Spain. Dr. Urciuoli’s publications have appeared in several prestigious peer-reviewed journals, some of them including Supply Chain Management: an International Journal, Government Information Quarterly, MIT Sloan Management Review, International Journal of Shipping and Transport Logistics, etc. His current research focuses on supply chain digitization, supply chain risk management, network design and biomass supply chains.
Presentation: “Impacts of digitally enabled supply chains on performance and security: lessons learned from CORE Living Labs”
Prof. Fei-Yue Wang – Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Overseas Chinese Talents Program from the State Planning Council and ”100Talent Program” from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for Research, Education, and Academic Exchanges at the Institute of Automation, CAS. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory for Management and Control of Complex Systems.
Dr. Wang’s current research focuses on methods and applications for parallel networks, social IoT and social signal processing, social computing, parallel intelligence, and knowledge automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems (1995-2000), Founding EiC of IEEE ITS Magazine (2006-2007), EiC of IEEE Intelligent Systems (2009-2012), and EiC of IEEE Transactions on ITS (2009-2016). Currently he is EiC of IEEE Transactions on Computational Social Systems, Founding EiC of IEEE/CAA Journal of Automatica Sinica, and Chinese Journal of Command and Control. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, and ASME conferences. He was the President of IEEE ITS Society (2005-2007), Chinese Association for Science and Technology (CAST, USA) in 2005, the American Zhu Kezhen Education Foundation (2007-2008), and the Vice President of the ACM China Council (2010-2011). Since 2008, he has been the Vice President and Secretary General of Chinese Association of Automation.
Dr. Wang has been elected as Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was awarded the Outstanding Scientist by ACM for his research contributions in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009, 2011 and 2015, and IEEE SMC Norbert Wiener Award in 2014.
Dr. Guanghua Yang – Guanghua Yang is an Associate Professor in the School of Electrical and Information Engineering, and the Associate Dean of the Institute of Physical Internet, Jinan University, Zhuhai, China. He is also an Adjunct Professor at the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Science (CAS). His research interests are in the general areas of communications, networking, and IoT. He has rich experience in both academia and industry. He has published 3 book chapters, more than 40 papers/articles in top-referred journals and international conferences, successfully led several R&D projects in multi-million dollar scale. Prior to returning back to academia in Jinan University, he was the founder of a startup company in the filed of IoT. He also served as vice-chair and steering committee member of the Alliance of IoT (Guangdong, China), and external advisor of Initiative on IoT of Southern China. Dr. Yang is a member of Project Management Institute (PMI), Project Management Professional (PMP) holder, and a voting member of IEEE MMTC.
Presentation: Low-cost Versatile Tracking Device and Technology for Logistics