The goal of this symposium is to provide a forum for participants from industry, academic, and non-profit organizations to exchange innovative ideas on intelligent vehicles, their systems, and related manufacturing processes. We welcome papers from all areas of computational intelligence demonstrating applications of theoretical advances to modern and future vehicles and vehicular systems (engine, transmissions, actuators, sensors, networks, communications, interfaces, etc.) and related manufacturing technologies. Although the focus of the symposium is on the application aspects of CI, papers describing simulation-only results are also solicited.
Topics include but are not limited to theoretical and practical contributions of computational intelligence to the following areas for vehicles and vehicular systems:
Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.
Please forward your special session proposals to Symposium Co-Chairs.
Dipti Srinivasan, National
University of Singapore
Justin Dauwels, Nanyang
Technological University,
Singapore
Plamen Angelov, Lancaster
University, UK
Alberto Broggi, University of
Parma, Italy
George Bebis, University of
Nevada, USA
Luis M.Bergasa, University of
Alcala, Spain
Oleg Gusikhin, Ford Research,
USA
Ilya Kolmanovsky, University of
Michigan, USA
John Krumm, Microsoft Research,
USA
Rudolf Kruse, University of
Magdeburg, Germany
T.T. Lee, National University of
Technology, Taiwan
Raj Madhavan, NIST, USA
Seichi Mita, Toyota Tech
Institute, Japan
Yi L. Murphey, University of
Michigan-Dearborn, USA
Hiroshi Nakajima, Omron, Japan
Yoshiki Ninomiya, Toyota Central
R & D Labs, Japan
Urbano Nunes, University of
Coimbra, Portugal
Krishna Pattipati, University of
Connecticut, USA
Luigi del Re, JKU, Austria
Thomas Runkler, Siemens
Research, Germany
Nestor Rychtycki, Ford Research,
USA
Kazuya Takeda, Nagoya
University, Japan
Mohan Trivedi, UCSD, USA
Hans J Wuensche, University of
Bundeswehr, Germany
Yilu Zhang, GM, USA