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<!DOCTYPE html>
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<title>IVTS-IJCNN2020</title>
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<body style="margin:0px">
<section class="headpage">
<br>
<p>
Intelligent Vehicle and Transportation Systems
</p>
<p class="subheading">
- Special Session on IJCNN 2020
</p>
<br>
</section>
<h1>Special session objectives and topics</h1>
<p class="content">
The research and development of intelligent vehicles and transportation systems is rapidly growing worldwide. Intelligent transportation systems are making
transformative changes in all aspects of surface transportation based on technologies developed in automated driving, vehicle-to-vehicle (V2V) and vehicleto-
infrastructure (V2I) connectivity. With decreasing costs of sensors and computer chips, and increasing computing power and data storage capacity, it has
become practical to build a host of intelligent devices in cars that can be used in airbag control, unwelcome intrusion detection, collision detection, warning
and avoidance, power management and navigation, and driver alertness monitoring, etc. Computational intelligence plays a vital role in building all types and
levels of intelligence in vehicle and transportation systems.
</p>
<p class="content">
The objective of this special session is to provide a forum for researchers and practitioners to present advanced research in computational intelligence with a
focus on innovative applications to intelligent vehicle and transportation systems. This session seeks contributions on the latest developments and emerging
research in all aspects of intelligent vehicle and transportation systems. Specific topics for the session include, but are not limited to:
</p>
<ul>
<li>Air, Road, and Rail Traffic Management</li>
<li>Automated driving and driverless car</li>
<li>Advanced transportation information and communication systems</li>
<li>Advanced Transportation Management</li>
<li>Cloud computing and big data in transportation and vehicle systems</li>
<li>Collision detection and avoidance</li>
<li>Connected vehicles of the future</li>
<li>Driver state detection and monitoring</li>
<li>Driver assistance and automation systems</li>
<li>Learning and adaptive Control</li>
<li>Multimodal intelligent transport systems and services</li>
<li>Object recognitions such as pedestrian detection, traffic sign detection and recognition</li>
<li>Route prediction and optimum path planning</li>
<li>Route guidance systems</li>
<li>Personalized driver and traveler support systems</li>
<li>Pervasive and ubiquitous computing in logistics</li>
<li>Simulation and forecasting models</li>
<li>Spatio-temporal traffic pattern recognition</li>
<li>Trip modeling and driver speed prediction</li>
<li>Vehicle communications, connectivity and security</li>
<li>Vehicle fault diagnostics and health monitoring</li>
<li>Vehicle energy management and optimization in hybrid vehicles</li>
</ul>
<h1>Organizers</h1>
<ul>
<li>Prof. Yi Lu Murphey, session chair (the corresponding contact:<a href="mailto: [email protected]">[email protected]</a>)</li>
<li>Other organizers, Dr.Xian Wei (<a href="mailto:[email protected]">[email protected]</a>), and Dr. Alexander Katriniok (<a href="[email protected]">[email protected]</a>), and Dr. Enrique Dominguez
(<a href="mailto:[email protected]">[email protected]</a>)</li>
</ul>
<h1>Short Biographies of all organizers</h1>
<p class="content">
Session Chair, Dr. Yi Lu Murphey, <a href="mailto:[email protected]">[email protected]</a>.
<ul>
<li><span class="keyname">Yi Lu Murphey</span> received a M.S. degree in computer science from Wayne State University, Detroit, Michigan, in 1983, and a PhD degree with a major in
Computer Engineering and a minor in Control Engineering from the University of Michigan, Ann Arbor, Michigan, USA, in 1989. Currently she is a
professor and the Associate Dean of the College of Engineering and Computer Science for Graduate Education and Research at the University of
Michigan-Dearborn. Her current research interests are in the areas of machine learning, text mining and intelligent systems with applications automated
and connected vehicles, and intelligent transportation systems. She is an editor for the Journal of Pattern Recognition. She has served on technical
committees and session chairs for many conferences. She is a fellow of IEEE and a distinguished Lecturer of IEEE.</li>
</ul>
</p>
<p class="content">
Session Co-organizers: Dr. Xian Wei (<a href="mailto:[email protected]">[email protected]</a>), Dr. Alexander Katriniok (<a href="mailto:[email protected]">[email protected]</a>), and Dr. Enrique Dominguez
(<a href="mailto:[email protected]">[email protected]</a>)
<ul>
<li><span class="keyname">Xian Wei</span> received the M.S. degree in computer science from Shanghai Jiaotong University, Shanghai, China, and received the Ph.D. degree in computer
engineering from the Technical University of Munich, Munich, Germany. Recently, he joined Fujian Institute of Research on the Structure of Matter,
Chinese Academy of Sciences, China, as a Senior Researcher of Machine Learning and Pattern Recognition Lab. His research interests focus on sparse
coding, deep learning, geometric optimization, and time series analysis. The applications include multi-sensor fusion for intelligent car, robotic vision, data
sequence or images modeling, synthesis, recognition and semantics. He has authored over 50 publications in refereed journals and conference
proceedings.</li>
<li><span class="keyname">Alexander Katriniok</span> received the Ph.D. degree in Mechanical Engineering from RWTH Aachen University, Aachen, Germany, in 2013. He was a Research Associate with the Institute of Automatic Control, RWTH Aachen University, Germany from 2008 to 2014. In 2014, Dr. Katriniok joined Volkswagen AG, Wolfsburg, Germany as a project leader where he was responsible for Advanced Driver Assistance Systems (ADAS). Since 2016, Dr. Katriniok is with the Ford Research & Innovation Center, Aachen, Germany. As a research engineer and project leader in the Automated riving department, he is working on connected and automated vehicle technologies. As an IEEE senior member, Dr. atriniok is actively engaged in the scientific community and serves as an Associate Editor for the IEEE Transactions on Cybernetics. His research interests include automotive control, optimal control of constrained dynamical systems decentralized/distributed and stochastic model predictive control as well as machine learning algorithms.</li>
<li><span class="keyname">Enrique Dominguez</span> received his Ph.D. degree, with specialization on neural systems, from the University of Malaga (Spain). He is currently an associate professor at the department of Computer Science at the University of Malaga and a member of the European Innovation Partnership on Smart Cities and Communities (EIP-SCC). He has collaborated with several companies (Airzone, Fujitsu, Altra Corporacion, Fundación Andaluza de la Seguridad Social, Evita, Acerca, ...) leading the computer vision workgroup of different research projects. Dominguez is author of more than 40 peer-reviewed publications, he also serves as reviewer of several journals such as IEEE Trans. of Neural Networks and Learning Systems, Neurocomputing, Neural Networks, International Journal of Parallel, Emergent and Distributed Systems, Neural Computing & Applications, Optimization, etc. and an associate editor of the International Journal of Computer Vision and Image Processing (IJCVIP). In addition, he has participated chairing several special sessions or as traditional member of the program committee of several conferences such as SSCI, WCCI, IJCNN, IWANN, BMIC, ICANN, ASC, EURO and others. His research interests include intelligent systems, computer vision, mobility and transport, and urban sustainable mobility.</li>
</ul>
</p>
<h1>Important Dates</h1>
<p class="content">
<ul>
<li>22 Dec 2019 Special Session & Workshop Proposals Deadline</li>
<li>22 Dec 2019 Competition and Tutorial Proposals Deadline</li>
<li><span class="keyname">15 Jan 2020 Submission Deadline</span></li>
<li>15 Mar 2020 Paper Acceptance Notification Date</li>
<li>15 April 2020 Final Paper Submission and Early Registration Deadline</li>
<li>19-24 July 2020 IEEE WCCI 2020, Glasgow, Scotland, UK</li>
</ul>
</p>
<h1>Submission Guidelines</h1>
<p class="content">
This special session will be held in the 2020 International Joint Conference on Neural Networks (IJCNN), a collocated conference of the 2020 IEEE World Congress on Computational Intelligence (<a href="https://wcci2020.org">https://wcci2020.org</a>), in Glasgow, Scotland, United Kingdom, at July 19-24, 2020.
</p>
<p class="content">
All papers should be prepared according to the IJCNN 2020 submission policy and should be submitted using the conference website (<a href="https://wcci2020.org/submissions">https://wcci2020.org/submissions</a>) . To submit your paper to this special session, you have to select our topic "Intelligent Vehicle and Transportation Systems" from the "S. SPECIAL SESSIONS" category as the main research topic on the submission page (<a href="https://ieee-cis.org/conferences/ijcnn2020/upload.php">https://ieee-cis.org/conferences/ijcnn2020/upload.php</a>).
</p>
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