Important Dates

January 30, 2017

Workshop Proposal Due

March 24, 2017 (Firm)

Paper Submission Deadline

April 25, 2017

WiP Paper Submission Due

April 25, 2017

Poster/Demo Submission Due

May 10, 2017

Authors Notification Date

June 10, 2017

Camera-ready Deadline


Keynote Speakers

From Smart World to Trusted Smart World

Hussein Abbass

University of New South Wales, Australia

. Smartness is incomplete if a smart agent is not a trust-aware one. Trust reflects an agent’s ability to assess the trustworthiness of others, the risk embedded in the interaction, ability to smartly divide labour, decompose tasks and manage complexity, and the free will to consciously delegate sub-tasks to other agents in the environment. In this talk, I will present on Trusted Autonomy as the foundations for designing next generation Trusted Autonomous Systems. In particular, I will discuss machine trust and map out the elements of machine trust to showcase how different conferences under the Smart World Congress can coherently contribute jointly to this important area of research. The talk will build on the following two papers:

Abbass H.A., Petraki E., Merrick K., Harvey J., and Barlow M. (2016) Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges, Cognitive Computation, 8(3), 385-408. 10. 1007/s12559-015-9365-5.
Abbass H.A., Leu G., and Merrick K. (2016) A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, IEEE Access, 4, 2808–2830.

Biography. Hussein Abbass is a Professor of Information Technology at the University of New South Wales in Canberra (UNSW-Canberra), Australia. He is a fellow of the Australian Computer Society (FACS), a fellow of the Operational Research Society (FORS,UK); a fellow of the Australian Institute of Management (FAIM), the President of the Australian Society for Operations Research, and the Vice-president for Technical Activities (2016-2017) for the IEEE Computational Intelligence Society. He is an associate Editor of the IEEE Trans. On Evolutionary Computation, IEEE Trans. on Cybernetics, IEEE Trans. on Cognitive and Developmental Systems, IEEE Computational Intelligence Magazine, and four other journals. His current research contributes to trusted autonomy with an aim to design next generation trusted artificial intelligence systems that seamlessly integrate humans and machines. His work fuses artificial intelligence, big data, cognitive science, operations research, and robotics.

What Can Evolutionary Computation Do for You?

Xin Yao

Southern University of Science and Technology, China
The University of Birmingham, UK

. Evolutionary computation has enjoyed a rapid growth in recent years. This talk highlights a few examples of its applications, including data-driven modelling in materials engineering, dynamic route optimisation, multi-objective optimisation and learning in software engineering, class imbalance learning, and online ensemble learning in the presence of concept drifts. The primary objective of this talk is to illustrate novel applications of various evolutionary computation techniques, rather than to go into depth on any of the examples. However, I would be delighted to go into the depth on any of the topics if there is an interest. Some mathematical challenges will be presented towards the end.

Biography. Xin Yao is a Chair Professor of Computer Science in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China, and a Professor of Computer Science at the University of Birmingham, UK. He is an IEEE Fellow and a Distinguished Lecturer of IEEE Computational Intelligence Society (CIS). He previously served as the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation and the President (2014-15) of IEEE CIS. His main research interests include evolutionary computation, ensemble learning, and their applications, especially in software engineering. His papers won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010, 2015 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and the IEEE CIS Evolutionary Computation Pioneer Award in 2013.

History, Opportunities and Challenges for Automation of Road Transportation

Steve Shladover

UC Berkeley, USA

. Expectations for the automation of road transportation have been raised to unrealistic levels based on the coverage by the media. This presentation begins by explaining the long history of previous attempts to automate road transportation, and the overly optimistic predictions of public deployment. It then explains the opportunities and challenges associated with road transportation automation, with particular emphasis on the unresolved technological challenges that still require fundamental breakthroughs. This leads to cautious predictions about when the different SAE-classified levels of automation are likely to be deployed in sufficient quantity to have significant impacts on transportation operations. The public policy and regulatory issues are explored in light of the Federal Automated Vehicles Policy.

Biography. Dr. Steven Shladover has been researching road vehicle automation systems for more than forty years, beginning with his masters and doctoral theses at M.I.T. He is the Program Manager, Mobility at the California PATH Program of the Institute of Transportation Studies of the University of California at Berkeley. He led PATH’s pioneering research on automated highway systems, including its participation in the National Automated Highway Systems Consortium from 1994-98, and has continued research on fully and partially automated vehicle systems since then. This work has included definition of operating concepts, modeling of automated system operations and benefits, and design, development and testing of full-scale prototype vehicle systems. His target applications have included cooperative adaptive cruise control, automated truck platoons, automated buses and fully-automated vehicles in an automated highway system.

Dr. Shladover joined the PATH Program in 1989, after eleven years at Systems Control, Inc. and Systems Control Technology, Inc., where he led the company’s efforts in transportation systems engineering and computer-aided control engineering software products. He chaired the Transportation Research Board Committee on Intelligent Transportation Systems from 2004-2010, and currently chairs the TRB Committee on Vehicle-Highway Automation. He was the chairman of the Advanced Vehicle Control and Safety Systems Committee of the Intelligent Transportation Society of America from its founding in 1991 until 1997. Dr. Shladover leads the U.S. delegation to ISO/TC204/WG14, which develops international standards for "vehicle-roadway warning and control systems".

Towards A Human-Centric Smart World

Stephen S. Yau

Arizona State University, USA

. With the rapid advances in information and other technologies, our world is becoming more dynamic and getting smarter with increasing intelligence in various aspects of our living and working environments. It is obvious that a smart world should provide a much better world in which all human become more healthy, happy and productive. In order to achieve such a grand objective, regardless how smart, powerful and sophisticated a smart world is, it should be human-centric. That is. a smart world should have the capability of serving the people well according to their wishes. In this talk, the challenges and research directions of some key areas in information science and technology needed for achieving such a smart world will be discussed. In particular, cyber security and human factors will be emphasized.

Biography. Stephen S. Yau is Professor of Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University (ASU), Tempe, Arizona, USA. He served as the chair of the Department of Computer Science and Engineering at ASU in 1994-2001. Previously, he was on the faculties of Northwestern University, Evanston, Illinois, and University of Florida, Gainesville.

He served as the president of the Computer Society of the Institute of Electrical and Electronics Engineers (IEEE) and was on the IEEE Board of Directors and the Board of Directors of Computing Research Association. He served as the editor-in-chief of IEEE COMPUTER magazine. He organized many major conferences, including the 1989 World Computer Congress sponsored by the International Federation for Information Processing (IFIP), and the IEEE Annual International Computer Software and Applications Conference (COMPSAC) sponsored by IEEE Computer Society. He is currently an honorary chair of IEEE World Congress on Services and co-located conferences at Honolulu, USA, June 25 – 30, 2017, and the 2017 IEEE Smart World Congress in San Francisco, USA, August 4 – 8, 2017

His current research includes services and cloud computing systems, cyber security, trustworthy computing, software engineering, internet of things, and ubiquitous computing. He has received various awards and recognitions, including the Tsutomu Kanai Award and Richard E. Merwin Award of the IEEE Computer Society, the IEEE Centennial and Third Millennium Medals, and the Outstanding Contributions Award of the Chinese Computer Federation. He is a Life Fellow of the IEEE and a Fellow of the American Association for the Advancement of Science. He received the B.S. degree from National Taiwan University, Taipei, and the M.S. and Ph.D. degrees from the University of Illinois, Urbana, all in electrical engineering.

Biometric Technologies for Smart Living

Vincenzo Piuri

Università degli Studi di Milano, Italy

. Adaptability and advanced services for ambient intelligence and smart living require an intelligent technological support for knowing the needs and the desires of users in the interactions with the environment for their daily use. To this purpose in some cases we can discover these characteristics by observing the human behavior, while in others we can retrieve stored information associated to the person. In both cases, the use of biometrics can be extremely useful both to understand the human behavior and to identify the person or the class of persons with similar characteristics so as to derive their needs and desires. Biometric technologies allow us in fact for analyzing human traits (e.g., face, fingerprint, palm) for identity management without requiring individuals to carry tokens or remembering information. These technologies allow us also for classifying the persons by observing some soft-biometric traits (e.g., gait, height, weight, emotions), thus associating the needs typical of the detected class. Besides, some other soft-biometric traits (e.g., gestures, gait) allow us for specifying actions desired by the person. This talk will analyze the opportunities offered by biometric technologies and applications to support the realization of adaptable operations and intelligent services in ambient intelligence for smart living, based on a user-centric philosophy.

Biography. Professor Vincenzo Piuri is Full Professor in computer engineering at the Università degli Studi di Milano, Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA. His main research interests are: signal and image processing, machine learning, pattern analysis and recognition, theory and industrial applications of neural networks, biometrics, intelligent measurement systems, industrial applications, fault tolerance, digital processing architectures, embedded systems, and arithmetic architectures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.

He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He has been IEEE Past Vice President for Technical Activities (2016), IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society. He is Editor-in-Chief of the IEEE Systems Journal (2013-17), and has been Associate Editor of the IEEE Transactions on Neural Networks and the IEEE Transactions on Instrumentation and Measurement. He received the IEEE Instrumentation and Measurement Society Technical Award (2002) for the contributions to the advancement of theory and practice of computational intelligence in measurement systems and industrial applications. He is Honorary Professor at the Obuda University, Budapest, Hungary (since 2014), and Guest Professor at Guangdong University of Petrochemical Technology, China (since 2014) and at the Muroran Institute of Technology, Japan (since 2016).



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