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Invited Speakers


Takayuki Fujita
Jun Wang
Dr. U. B. Desai
Ajith Abraham

Takayuki Fujita

Takayuki Fujita is an associate professor of the University of Hyogo. He is also a group-leader for the Micro Power Group of the ERATO Maenaka Sensing Fusion Project on Japan Science Agency. He received Ph. D. degree in engineering from Himeji Institute of Technology in 2000. Then he joined the Osaka prefecture Super Eye Image Sensor (SEIS) project as a researcher and had been involved in the development of MEMS multi-environmental sensor. Since 2001, he had been research associate in the Department of Electronics of the Himeji Institute of Technology. By unification of universities of the Hyogo prefecture in 2004, he joined University of Hyogo. Since 2007, he has been an associate professor. Then he joined the ERATO Maenaka Sensing Fusion Project in 2008. His interests are in MEMS sensors, actuators and their system integration. His current research includes MEMS energy-harvester in human sensing systems.

 

Jun Wang

Jun Wang is a Professor and the Director of Computational Intelligence Laboratory in the Department of Mechanical and Automation Engineering at the Chinese University of Hong Kong. Prior to this position, he held various academic positions at Dalian University of Technology, Case Western Reserve University, and University of North Dakota. Besides, he also holds a Cheung Kong Chair Professorship in computer science and engineering at Shanghai Jiao Tong University on a part-time basis since 2008. He received a B.S. degree in electrical engineering and an M.S. degree in systems engineering from Dalian University of Technology, Dalian, China. He received his Ph.D. degree in systems engineering from Case Western Reserve University, Cleveland, Ohio, USA. His current research interests include neural networks and their applications. He published over 140 journal papers, 12 book chapters, 9 edited books, and numerous conference papers in the areas. He is an Associate Editor of the IEEE Transactions on Systems, Man, and Cybernetics Part B since 2003 and a member of the Editorial Advisory Board of the International Journal of Neural System since 2006. He also served as an Associate Editor of the IEEE Transactions on Neural Networks (1999- 2009) and IEEE Transactions on Systems, Man, and Cybernetics Part C (2002-2005), a guest editor/co-editor of the special issue of European Journal of Operational Research (1996), International Journal of Neural Systems (2007), and Neurocomputing (2008), He was an organizer of several international conferences such as the General Chair of the 13th International Conference on Neural Information Processing (2006) and the 2008 IEEE World Congress on Computational Intelligence. He served as the President of Asia Pacific Neural Network Assembly in 2006. He is an IEEE Fellow, an IEEE Distinguished Lecturer (2010-2012), and a recipient of the Research Excellence Award from the Chinese University of Hong Kong (2008-2009) and the First Class Shanghai Natural Science Award (2009). In the last ten years, he was invited to give keynote/plenary/invited talks at numerous conferences/symposia/workshops in Asia (China, Indonesia, Japan, Korea, Philippines, Singapore, Thailand), Europe (Bulgaria, Germany, Hungary, Poland, Slovakia), North America (USA, Mexico), Africa (Egypt), and Oceania (New Zealand).

Lecture Topic - Neurodynamic Optimization Approaches to Robotics and Automation

Abstract: In the last two decades, neurodynamic optimization has emerged as a viable means for dynamic optimization arising in numerous engineering applications. Because of the inherent nature of parallel and distributed information processing in recurrent neural networks, it is particularly desirable for dynamic optimization in decentralized decision-making situations arising frequently in robotics and automation. In this talk, I will present the historic review and the state of the art of neurodynamic optimization models and selected applications in robotics and automation. Specifically, starting from the motivation of neurodynamic optimization, we will review various recurrent neural network models for optimization. Theoretical results about the stability and optimality of the neurodynamic optimization models will be given along with illustrative examples and simulation results. It will be shown that many fundamental problems in robotics and control can be readily solved by using the neurodynamic optimization models. Specific applications will be highlighted including robot motion planning and obstacle avoidance, grasping force optimization using multi-fingered robotic hands, and nonlinear model predictive control with unknown system dynamics.

 

Dr. U. B. Desai

Uday B. Desai received the B. Tech. degree from Indian Institute of Technology, Kanpur, India, the M.S. degree from the State University of New York, Buffalo, and the Ph.D. degree from The Johns Hopkins University, Baltimore, U.S.A., all in Electrical Engineering. Since June 2009 he is the Director of IIT Hyderabad, previously he worked as an Assistant Professor in the School of Electrical Engineering and Computer Science Department at Washington State University, Pullman, WA, U.S.A., and an Associate Professor at the same place. He was a Professor in the Electrical Engineering Department at the Indian Institute of Technology - Bombay. He is now on lien as Director of IIT Hyderabad. He has held Visiting Associate Professor's position at Arizona State University, Purdue University, and Stanford University. He was a visiting Professor at EPFL, Lausanne. He was the Director of HP-IITM R and D Lab. at IIT-Madras. His research interest is in wireless communication, wireless sensor networks and statistical signal processing. He is the Editor of the book "Modeling and Applications of Stochastic Processes" (Kluwer Academic Press, Boston, U.S.A. 1986) and co-editor of Second Asian Applied Computing Conference, Springer Verlag (2004). He is also a co-author of two books "A Bayesian Approach to Image Interpretation" and "Multifractal based Network Modeling", both from Kluwer Academic Press. Dr. Desai is a senior member of IEEE, a Fellow of INSA (Indian National Science Academy), Fellow of Indian National Academy of Engineering (INAE), and a Fellow of The Institution of Electronic & Telecommunication Engineers (IETE). He is recipient of Ram Lal Wadhwa Award from the Institution of Electronics and Telecommunication Engineers for 2001. He was an associate editor of IEEE Transactions on Image Processing. He is Vice-President of the Indian Unit for Pattern Recognition and Artificial Intelligence. He is on the Technology Advisory Board of Microsoft Research Lab. India. He also on to advisory board of several startups. He was chair person for various IEEE International Conferences He is one of the foundign member of COMSNETS and also Society for Cancer Research and Communication. He was the Chair for IEEE Bombay Section. He was also on the Visitation Panel for University of Ghana.

 

Lecture Topic - Multihop Mobile Wireless Communication

Abstract: Today wireless communication buzz words are: Ubiquitous communication, cyber physical system, ad hoc networks, pervasive communication, etc. Essentially, they all refer to: Mobile Adaptive Self-organizing Multihop Multi-system Wireless Communication.

In this talk I will take a look at some of the recent research of my group at SPANN Lab. IIT Bombay and IIT Hyderabad in the broad area of Mobile Adaptive Self-organizing Multihop Multi-system Wireless Communication. In particular, I will focus on our work on end to end system development using wireless sensor network for precision agriculture and pollution monitoring. I will also present some of the theoretical work in the area of multihop cellular networks (MCN) and Multihop cellular sensor networks (MCSN). I will also describe some of the work in vehicle to vehicle (V2V) communication and its application to collision avoidance. I will conclude with some of thew work cognitive radio, in particular cognitive relaying.

Ajith Abraham

Machine Intelligence Research Labs (MIR Labs), Europe
http://www.mirlabs.org

Ajith Abraham received the M.S. degree from Nanyang Technological University, Singapore, and the Ph.D. degree in Computer Science from Monash University, Melbourne, Australia.

He is currently the Director of Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, USA, which has members from more than 75 countries. He has aworldwide academic experience with formal appointments in Monash University; Australia, Oklahoma State University, USA; Chung-Ang University, Seoul, Korea; Jinan University, Jinan, China; Rovira i Virgili University, Tarragona, Spain; Dalian Maritime University, Dalian, China; Yonsei University, Seoul, Korea; the Open University of Catalonia, Barcelona, Spain; the National Institute of Applied Sciences (INSA-Lyon), Lyon, France; and the Norwegian University of Science and Technology (NTNU), Trond-heim, Norway.He serves/has served the editorial board of over 50 International journals and has also guest edited 40 special issues on various topics. He has published more than 700 publications, and some of the works have also won best paper awards at international conferences. His research and development experience includes more than 20 years in the industry and academia. He works in a multidiscciplinary environment involving machine intelligence, network security, various aspects of networks, e-commerce, Web intelligence, Web services, computational grids, data mining, and their applications to various real-world problems. He has given more than 50 plenary lectures and conference tutorials in these areas.

Dr. Abraham is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing. Dr. Abraham is a Senior Member of the IEEE, the IEEE Computer Society, the Institution of Engineering and Technology (U.K.) and the Institution of Engineers Australia (Australia), etc. He is actively involved in the Hybrid Intelligent Systems (HIS); Intelligent Systems Design and Applications (ISDA); Information Assurance and Security (IAS); and Next Generation Web Services Practices (NWeSP) series of international conferences, in addition to other conferences.

More information at: http://www.softcomputing.net

Lecture Topic - Evolving Smart Information Systems: Challenges, Perspectives and Applications

Abstract: We are blessed with the sophisticated technological artifacts that are enriching our daily lives and the society. It is believed that the future Internet is going to provide us the framework to integrate, control or operate virtually any device, appliance, monitoring systems, infrastructures etc. The challenge is to design intelligent machines and networks that could communicate and adapt according to the environment. In this talk, we first present the concept of a digital ecosystem and various research challenges from several application perspectives. Finally we present a real world application including health-care of terminally ill patients.

 

 

 
 
 
 
 
 
 
English is the official language of the conference ( Paper and Presentation)