Connected Vehicle and Future Smart Transportation (Code: CVFST)
Chair: Prof. Ge Guo
Connected and automated vehicles (CAVs) have the ability of gathering and sharing traffic information and vehicle state with neighboring vehicles. With the advent and increasing maturity of V2X, CAVs are believed to be a promising technology to deliver greater safety and mobility benefits to the next generation intelligent transportation systems (ITSs). On the other hand, artificial intelligence (AI) and big data (BD) technologies provide us with powerful tools and more possibilities to develop novel smarter ITSs technologies. This session mainly focuses on the current development, new progress, the results (theory, experiment), and challenges of related AI and BD technologies in the fields of CAVs and ITSs from both theoretical and practical perspectives.
, Professor and Doctoral supervisor in Northeastern University, China; Doctoral
supervisor in Dalian Maritime University, China.
He received the B.S. degree in Automatic Instrument and Equipment and the Ph. D. degree in Control Science and Engineering, respectively, from Northeastern University, Shenyang, in 1994 and 1998. His current research interests include intelligent transportation systems, car-sharing and mobility systems, cooperative control of connected vehicles, cyber-physical systems, etc. He has published about 200 papers within these areas, including 40 regular papers in international journals and eight highly-cited papers. He was an honoree of the Young Scientist Award of Chinese Association of Automation, the New Century Excellent Talent in Universities in China, nominee for the Gansu Top Ten Excellent Youths, award recipient from the Fok Ying Tong Education Foundation, Qianjiang Scholar Professor of Zhejiang, Dalian Leading Talent, etc.
He is an IEEE Senior Member, Also, he serves as the Managing Editor of the International Journal of Systems, Control, and Communications, an Associate editor for Information Sciences and IEEE Intelligent Transportation Systems Magazine, and an Editorial Board Member of ACTA Automatica Sinica, Journal of Control and Decision (both Chinese edition and English edition), Journal of Control Engineering. He was awarded the Outstanding Reviewer of several journals like Annual Reviews in Control, etc.
Smart Manufacturing and Industrial Intelligence (Code: SMII)
Chair: Prof. Shixin Liu
Intelligent manufacturing is an important way to integrate the manufacturing industry with the new
generation of information technologies such as artificial intelligence, cloud computing, the Internet of
things, and big data, so as to realize the transformation, upgrading and innovative development of the
The purpose of this session is to bring researchers engaging in intelligence manufacturing together to cooperate and communicate with each other. Experts and scholars, graduate students in the areas related to the intelligent manufacturing are warmly invited to submit their original research results. The articles cover the following topics: intelligent analysis and decision making; intelligent logistics and supply chains; intelligent production planning and scheduling; intelligent manufacturing knowledge management; intelligent manufacturing service management; industrial big data and its application in intelligent manufacturing; intelligent industrial robots; cyber physical system and intelligent factory.
Shixin Liu received his B.S. degree in Mechanical Engineering from Southwestern Jiaotong University, China in 1990, M.S. degree and Ph. D. degree in Systems Engineering from Northeastern University, China in 1996, and 2000. He is currently a Professor of the State Key Laboratory of Synthetical Automation for Process Industries, and the College of Information Science and Engineering, Northeastern University, China. His research interests are in intelligent optimization algorithm, machine learning, computer vision, theory and method of planning and scheduling. He has over 100 publications including 1 book.
New Energy Control and Smart Energy (Code: NECSE)
Chair: Prof. Qiuye Sun
Smart energy is an environmentally friendly energy system which has functions of learning, adaptation and
self-organization to meet the requirements of system security, economy, cleanliness and high efficiency. Smart
energy with advanced new energy control can not only alleviate the energy crisis and pressure, adapt to the
needs of human development, but also promote the progress of civilization and accelerate the industrial
transformation. Therefore, smart energy should be the focus of research now and in the future.
Smart energy, especially the new energy control, still has great potentials for making further progress. The performance of smart energy is limited by computational complexity, heterogeneous data, multiple time scale and so on. The high requirements such as analysis of complex operating conditions, real-time optimization of hybrid energy motivate smart energy to improve control method or consider combining with diversified advanced method. Further research is essential to advance the development of smart energy and sustainable energy control.
, Professor and Doctoral supervisor at Northeastern University, Shenyang, China,
has obtained Special Government Allowances from the State Council in China and been rewarded as one of Young
and middle-aged leading scientists from the Ministry of science and technology and New Talents from the
Ministry of Education in China. His current research interests include the model and optimal operation of
Energy Internet, the multi-energy management and optimization of Distributed Energy System, the coordination
and control of Multi-agent System, machine learning and its application in energy system, etc.
He is the secretary-general of the Energy Internet Committee in the Society of Automation, the deputy director of the New Energy Science Group the IEEE PES conference committee in China and the member of the committee of the Intelligent Energy System Committee in the Chinese Society of Artificial Intelligence, the Energy Internet Committee in the China Energy Research Institute, the committee on control and decision of cyber physical system in the Society of Automation and the Energy Internet Equipment Technology Committee in the China Electrical Technology Society. Also, he serves as the Associate Editor of IEEE TNNLS, IET CPS：T&A, IEEE Access, IEEE/CAA Journal of Automatica Sinica, CSEE Journal of Power and Energy Systems and Journal of Control and Decision.
Control and Management of Smart City (Code: D11)
Chair: Prof. Yahui Wang
Beijing University of Civil Engineering and Architecture, China
This session has been held for fifth consecutive years, and this is the sixth time. The purpose is to bring the building field engaging in automation and intelligence together to cooperate and communicate with each other. Experts and scholars, graduate students in the areas related to the Control and Management on Smart City (Buildings) are invited to submit their original research results. The articles cover the following topics: (1) Big data and cloud computing technology of smart city. (2) Self-diagnosis techniques of electrical & equipment faults in buildings. (3) Health Management of municipal engineering and equipment (such as water supply, drainage, heating, gas system and others). (4) Control and detection technology in underground utility tunnels. (5) Robot application technology in buildings. (6) Application of Internet of Things, wireless sensor network technology in intelligent building system. (7) Development and application research on building information model (BIM). (8)New technology of building fire protection and security. (9) Energy-saving technology research of building power supply, renewable energy and new energy. (10) Environmental monitoring and control technology of modern architecture. (11) Building automation (such as: building 3D printing, refabricated building). (12) Application of image and video processing and pattern recognition technology in the buildings. (13) Motion control in the building equipment and environment (such as: elevator control). (14) Process control in the building equipment and environment (such as: the control of air conditioning). (15) Application of advanced control theory in the intelligent building system. (16) Intelligent of engineering construction management. (17) Disaster prevention and mitigation and emergency decision-making of urban lifeline (power supply, water supply, drainage, heating, gas, urban rail transit and other systems).
Yahui Wang, Department chairman of Automation, Beijing University of Civil Engineering and Architecture. He is a leader for the constructions information and detection control engineering group. In addition, he has the following duties:Vice chairman, building robot professional committee of Chinese Association of Automation. Executive director of Beijing Association of Automation. Member of National Standardization Technical Committee for Electrical Installations of Building (SAC/TC205). Member-Project Management Credentials and Occupation Skill Appraisal Expert Committee, Ministry of Labor and Social Security , PRC. Member of Emergency Management Research Committee, China and IPMA. His research interests include (1) Building Environment and Automatic Detection and Control base on wireless sensor network, (2) Fault Diagnosis and the Fault-tolerant Control of Gas and Construction Equipment and Environmental Engineering and Maintenance, (3) Gas conversion in Energy Internet, (4) Project Management, Emergency Management in Construction.
Fractional Calculus and Fractional-order System (Code: FCFS)
Chair: Prof. Dingyu Xue
Fractional calculus and fractional-order systems are rapid developing topics in science and engineering of today. For certain systems, the integer-order modeling techniques may not yield accurate descriptions to the systems behaviors, especially to the systems with memories. Fractional calculus brings in a new way in system modeling, and successful cases can be found in control theory, mathematics, mechanics, biology, chemistry, and signal and image processing. The research areas in the special session include fundamental theory in fractional calculus, numerical algorithms and implementations in fractional calculus, stability and qualitative analysis of fractional-order systems, strategies and algorithms in fractional-order control systems, modeling, analysis, simulation and design in fractional-order controls, modeling, identification and applications in special materials, fractional derivative modeling of physical processes in complex media, fractional calculus applications in signal and image processing, fractional calculus applications in science and engineering.
Dingyu Xue received his doctorate from Sussex University, England in 1992. He is now a professor at Northeastern University, China. He started the research work on fractional calculus and control since earlier 2000s, and had contributions include high-precision algorithms, simulation schemes for fractional-order differential equations of any complexity, and fractional-order controller design. His recent monograph “Fractional-order Control Systems – Fundamentals and Numerical Implementations” (Berlin: De Gruyter, 2017) bridges the gap between the theoretical work and numerical implementation, such that any research may try to introduced fractional calculus into his own fields and compare the results. His MATLAB FOTF Toolbox was among the earliest toolboxes in fractional-order control community and the recent versions are used extensively by the researchers worldwide.
Future Robotics Technology and Application (Code: FRTA)
Chair: Dr. Jingbing Zhang
Dr. Jingbing Zhang
, Technical Division Director of Advanced Robotics Technologies division, Advanced Remanufacturing and Technology Centre (ARTC), Singapore. He is responsible for developing strategy and leading robotics R&D and industrial application. Prior to joining ARTC, he was a Research Director at IDC Asia Pacific, responsible for leading IDC's worldwide robotics and Asia Pacific manufacturing research programs. From 2008-2015, he worked as a Senior Engineering Director at K&S HQ in Singapore, where he provided site leadership, coaching, and mentoring to the Singapore engineering R&D department. From 1992-2008, he worked in Singapore Institute of Manufacturing Technology (SIMTech), with increasing responsibilities as manager of various research groups, director, and member of the institute’s management committee. His research interst and expertise include robotics, Industry 4.0, IIoT, smart manufacturing, MES, and logistics system automation.
Dr Zhang earned a B.Eng. degree in automation from Tsinghua University in 1985, a Ph.D. degree from Loughborough University, UK, in 1992, and an MBA degree (Distinction) from the University of Birmingham, UK, in 2001. He has completed the International Executive Program at INSEAD (France/Singapore) in 2006/2007. In 2003, he received the Prestigious Engineering Achievement Award from the Institution of Engineers Singapore (IES) in recognition of his outstanding contribution to the full-automation of Singapore Airlines’ air freight terminal 6 (Singapore Airlines Super Hub 2).
Dr Zhang is a senior member of IEEE, and has served as AdCom member of the IEEE Industrial Electronics Society, Chair/vice-chair of IEEE IES Singapore Chapter, Associate Editor of IEEE Transactions on Industrial Electronics, general chairs of INDIN2006, ICIEA2010, ICIEA2015, and so on. He has over 80 technical publications in peer reviewed journals and conferences.
Chair: Dr. Zhengguo Li
Institute for Infocomm Research, Singapore
(SM’03) received the B.Sci. and M.Eng. from Northeastern University, Shenyang,
China, in 1992 and 1995, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore,
His current research interests include computational photography, mobile imaging, video processing & delivery, and switched and impulsive control. He has co-authored one monograph, more than 190 journal/conference papers including more than 40 IEEE Transactions, and eleven granted USA patents, including normative technologies on scalable extension of H.264/AVC and HEVC. He has been actively involved in the development of H.264/AVC and HEVC since 2002. He had three informative proposals adopted by the H.264/AVC and three normative proposals adopted by the HEVC. Currently, he is with the Agency for Science, Technology and Research, Singapore. He is a member of SIG on computational imaging. He served a General Chair of IEEE ICIEA in 2016, a Technical Brief Co-Founder of SIGGRAPH Asia, a General Co-Chair of CCDC in 2013, leading Workshop Chair of IEEE ICME in 2013, and an Area Chair of IEEE ICIP 2016. He was an Associate Editor of IEEE Signal Processing Letters from 2014-2016 and is an Associate Editor of IEEE Transactions on Image Processing Since 2016.
IntelliSense and Advanced Sensing, Detection Technology (Code: IASDT)
Chair: Prof. Yong Zhao
Northeastern University, China
In modern industrial production, to make the equipment work well and achieve the best quality in the normal
state or the best state, it is needed to use a variety of detection technologies to intellisense and control
various parameters of the production lines. Now the sensor industry is at a critical stage of developing
miniaturized, multi-functional, digital, intelligent, systematic and networked sensors.
This special session is positioned to give a snapshot of the current state of the art in the field of sensing, instrumentation and related fields, particularly from the applied perspective, and is also intended to give a broad overview of the latest developments, in addition to discussing the process through which researchers go through in order to develop sensors, or related systems, which will become more widespread in the future.
Researchers and specialists in the areas related to the IntelliSense and Advanced Sensing, Detection Technology will present their original research results covering the following topics: Intelligent monitoring and fault diagnosis in the process of production; Novel sensing theory, methods and technology; Advanced detection technology, intelligent instrument and apparatus; Internet of Things based intelligent sensing system theory and technology; Machine vision and intelligent information processing; Automatic identification methods and technology for biological feature; Monitoring, detection and sensing technology in Intelligent Transportation; Monitoring, detection and sensing technology in Smart Power Grids; IntelliSense and sensing technology in robot; Sensing technology and systems in intelligent diagnosis and treatment; Smart home and IntelliSense; IntelliSense and wireless sensor network; Smart skin, intelligent
Yong Zhao received his M.A. and Ph.D. degrees, respectively, from the Harbin Institute of Technology, China, in 1998 and 2001. He was a postdoctoral fellow in Tsinghua University from 2001 to 2003, and then worked as an associate professor in the Department of Automation, Tsinghua University of China. In 2006, he was a visiting scholar of University of Illinois in Urbana and Champagne, USA. In 2008, he was awarded as the “New Century Excellent Talents in University” by the Ministry of Education of China. In 2009, he was awarded as the “Liaoning Bai-Qian-Wan Talents” by Liaoning Province. In 2011, he was awarded by the Royal Academy of Engineering as an academic research fellow of City University London. In 2014, he was awarded by the National Science Foundation for Distinguished Young Scholars of China. In 2015, he was honored as the Yangtze River Scholar Distinguished Professor by the Ministry of Education of China. Now he is working in Northeastern University as a full professor. As the academic leader and director of his research institute, his current research interests are the development of fiber-optic sensors and device, fiber Bragg grating sensors, novel sensor materials and principles, slow light and sensor technology, optical measurement technologies. He has authored and co-authored more than 260 scientific papers and conference presentations, 24 patents, and 5 books. He is an associate editor-in-chief of ACTA AUTOMATICA SINICA, and a member in the Editorial Boards of the international journals of Sensor Letters, Instrumentation Science & Technology, Journal of Sensor Technology, and Advances in Optical Technologies.