Keynote Speakers

 

Keynote Speakers

 

Prof. Monteiro Figueira
University Lusofona, Portugal 

Prof. Monteiro Figueira is since 1990 the General Director of CEITConsultores Engenheiros em Infraestruturas de Transportes, a Portuguese consulting firm focusing on transportation, parking, mobility, traffic engineering and roadways and Senior Professor at the Universidade Lusofona (ULHT) in Lisbon.
Prof. Monteiro Figueira consults on many projects regarding mobility and transportation in Portugal, Angola, Mozambique and Macao and is the author of books and articles on highway design and transportation planning. He is currently involved in different projects in Africa (Angola and Mozambique) for governmental departments.
Prof. Monteiro Figueira worked at JAE - Official National Board of Highways in Portugal for thirty years and was a representative of Portugal at the European Commission in Brussels, at DG VII.
He was a Professor for more than twenty years at the Technical University in Lisbon until 2000 and at Military Academy, until 1999. 

Title of Speech: ITS Innovations - Moving Forward? 

Abstract: Liveable and complete streets goals are increasingly embraced by municipal leaders across Europe. This support is critical but not sufficient for overcoming myriad obstacles to building the necessary agency and community support for specific projects. Cities are increasingly reclaiming urban streets for pedestrians, transit riders and bicyclists and more safety, replacing the long dominant car-centric model of city transportation systems. The rise of the cities and the fall of the cars? Can ITS be the answer? 

Dr. Huaqun Guo
Lab Head of Network Security Lab & Strategic Planning Manager
Institute for Infocomm Research, Singapore 

Dr. Huaqun Guo obtained her B.Eng and M.Eng from Tianjin University in 1989 and 1991 respectively, and obtained her M.Eng and PhD from the National University of Singapore (NUS) in 2001 and 2007 respectively. She was a senior engineer, Kent Ridge Digital Labs (KRDL, predecessor of Institute for Infocomm Research), Singapore from 2000 to May 2001. She was a senior research staff, NUS from June 2001 to March 2003. She is a member of SingAREN (Singapore Advance Research and Education Network) from 2000. She was an Ordinary Member of Singapore Computer Society from 2000 to 2005. She is IEEE Member from 2007, and IEEE Senior Memberfrom 2009. She is a committee member of IEEE SG WIE AG 2008 and 2009, Secretary of IEEE SG WIE AG 2010, and Chairman of IEEE SG WIE AG 2011 and 2012. She is Chairman of IEEE Broadcast Technology Society Singapore Chapter 2013.
Dr. Guo is Scientist II at the Institute for Infocomm Research (I2R), Agency for Science Technology and Research (A*STAR) in Singapore. She has published more than 40 papers in the international journals, conferences and books. She is an editor of a book, Automotive Informatics and Communicative Systems: Principles in Vehicular Networks and Data Exchange. She is the Editorial Board Member, Technical Program co-chair, member and session chair for 16 international journals and conferences. Her research areas include vehicular network, security, multicast, embedded device, and multimedia communication systems.  

Title of Speech: Cyber-Physical Security for Intelligent Transportation Systems 

Abstract: Our cities increasingly rely on various cyber-physical infrastructures to support people’s everyday lives. Particularly for a city with dense population, the security, safety and reliability of its intelligent transportation systems are critical. However, the advanced, and often complex, features that make these cyber-physical systems intelligent also make them vulnerable to attack by malicious agents. This presentation includes two parts. First, Cyber-Physical Secure Electric Vehicle (EV) Charging System is presented. As an emerging transport option achieving low carbon emission, electric vehicles entail onboard intelligence and greater integration with the power grid in large scale rollout, which in turn requires an effective security solution. In view of the potential impact of electric vehicle operations on the power grid reliability, greater assurance on device identity and protection against coordinated cyber-physical attacks is necessary. Besides, new attack vectors to electric vehicles through the introduction of onboard intelligence should be withheld. A full-fledged security solution to enable secure smart charging is provided, with components for securing EV telematics, protecting EV charging infractructure, and facilitating safe integration with the power grid. Second, the presentation will talk about the on-going project of Cyber-Physical Security for urban transportation systems. For today’s urban transportation systems like Mass Rapid Transit (MRT), Metro or Subway, existing security technologies from the computer and network security domains are inadequate. They are unable to address the inherent complexity due to both the coupling of cyber and physical components and the interactions between various sub-systems and humans. We propose to take a cyber-physical approach to designing security technologies for urban transportation systems. 

 

Prof. Huei-Yung Lin
National Chung Cheng University, Taiwan 

Dr. Huei-Yung Lin is a professor and the director of Robot Vision Lab at National Chung Cheng University, Taiwan. He received his M.Eng. and Ph.D. degrees in electrical and computer engineering from the State University of New York at Stony Brook, the United States. In 2002 he joined the Department of Electrical Engineering, National Chung Cheng University, as an assistant professor and currently a full professor. He served as the director of of Research Liaison Division from 2009 t0 2013, and the director of Academic Development Division from 2012 - 2014, both with the Office of Research and Development. He has published more than 3o international journal papers and 80 international conference papers. He also holds 10 US patents and 8 Taiwan patents. Prof. Lin serves as an organizing committee member and program committee member of more than 50 international conferences, and an associate editor of IEEE International Conference on Automation Science and Engineering, 2014 - 2016. He is a senior member of IEEE and a senior member of OSA (The Optical Society), and serves as a member of Technical Committee on Transportation, International Federation of Automatic Control (IFAC). He is also a funding member and Secretary General of Taiwan Society of Robotics (TSR). His research interests include computer vision, robotics, image processing, and pattern recognition.  

Title of Speech: ‘Vision’ for Transportation - Vision Techniques for Intelligent Vehicles and Intelligent Transportation Systems  

Abstract: As the rapid advances of intelligent vehicle technology and intelligent transportation infrastructure, computer vision plays an important role in many sensing based services. Some well-known examples include advanced driver assistance system (ADAS), roadside surveillance, traffic monitoring, and vehicle recognition and identification. In this talk, I first introduce the recent development of computer vision algorithms for vehicle and transportation related applications. The key ingredients of visual sensing with intelligent computation are addressed. The second part of the talk covers the research results of robot vision lab in the area of intelligent vehicles and transportation systems. New concepts and novel ideas of image based approaches for the field are presented and evaluated. The objective is to find an alternative for practical applications using the low-cost image sensor and computation platform. Finally, the opportunities and difficulties of vision enhanced techniques for the future vehicles and transportation systems are discussed. 

 

Assoc. Prof. Tsuguo Nobe
 Chief Advanced Service Architect and Director at Intel Corporation
Visiting Associate Professor at Nagoya University, Japan 

Tsuguo Nobe joined NEC Corporation in 1983 after graduated from Waseda University, majoring in Applied Physics, and took responsibilities for engineering and business development of NEC AT-Compatible PCs in international and domestic markets. Based on the expertize in PC technology, he also managed various types of product developments including Video on Demand Media Sever, Video Conferencing Systems, Data Broadcasting System on Terrestrial and Satellite TVs, TV-STB and PDA. While at NEC, he attended Harvard Business School and served as a Fellow at Harvard Center for Information Resource Policy from 1988 to 1990. Directly after leaving NEC in late 2000, he supported to make a Joint Venture between Softbank and World’s largest MMORPG on-line game company and took position as CEO of the Joint Venture until late 2003.

Then, as the automotive industry realized the growing importance of the electronics component in building next-generation cars, he was scouted to spearhead Nissan's efforts for IT and Vehicle convergence. IT support for NISSAN LEAF was a good example of the convergence, with which NISSAN was awarded the Best Mobile Innovation for Automotive and Transport at GSMA 2011. In 2012, he joined Intel K.K. as the Chief Service Architect and Director of its automotive efforts with the objective to standardize Vehicle IT in global basis. He has served as keynote speaker at major conferences of IEEE in Japan and other Vehicle and IT related seminars. Also, he takes several positions as official members of governmental committees. He concurrently takes a position as Visiting Associate Professor at Nagoya University, Green Mobility Collaboration Research Center. 

Title of Speech: Keys to Self-driving development: Machine Learning, 3D map, OTA Software Update, Network Security, Robot Ethics and etc…  

Abstract: Self-driving vehicle will be made possible by the fusion of broad ranges of ICT (Information and Communication Technologies) and its integration into a vehicle. In addition to the advancements of existing technologies, such as sensors, SLAM (Simultaneous Localization and Mapping) and Vehicle IoT, the key new technologies required for the development of Self-driving include Machine Learning, which yields algorithms for driving on any appropriate roads in the world, and 3 dimensional mapping.
With the exponential growth of ICT, research of AI (Artificial Intelligence) has advanced beyond our expectations in recent years and the adaptation of AI into vehicles will further accelerate the development of Self-driving vehicles.
At the same time, in order to implement the technology in safe and robust ways, we have to enhance network security and also consider social issues such as robot ethics and privacy.
I would like to show the overall trends of the development of Self-driving vehicles and examine how the development of the technology will change the future transportation and even the industrial structure within next 10-20 years.