Keynote Speakers

Mo Jamshidi

MengChu Zhou

Mo Jamshidi

Mo M. Jamshidi (Fellow IEEE, Fellow ASME, A. Fellow-AIAA, Fellow AAAS, Fellow TWAS, Fellow NYAS) received BS in EE, Oregon State University, Corvallis, OR, USA in 1967, the MS and Ph.D. degrees in EE from the University of Illinois at Urbana-Champaign, IL, USA in June 1969 and February 1971, respectively. He holds three honorary doctorate degrees from Azerbaijan National University, Azerbaijan, 1999, University of Waterloo, Canada, 2004 and Technical University of Crete, Greece, 2004. Currently, he is the Lutcher Brown Endowed Chaired Professor of the University of Texas Systems and working at the University of Texas, San Antonio, TX, USA. He has also been the founding Director of Center for Autonomous Control Engineering (ACE – ace.utsa.edu) at the University of New Mexico in 1995, and has moved the Center to University of Texas, San Antonio in 2006. He was a Senior Research Advisor at US Air Force Research Laboratory, KAFB, NM from 2002-2005 and 1984-1990. He was also a consultant with US Department of Energy Office of Industrial Technologies and DOE Laboratories Oak Ridge, Sandia and Los Alamos. He was also an advisor for the NASA Headquarters from 1998-2004 and on NASA JPL's Pathfinder Project mission and Surface Systems Track Review Board. He has worked in various academic and industrial positions at various national and international locations including with IBM and GM Corporations. In 1999, he was a NATO Distinguished Professor in Portugal conducting lectures on intelligent systems and control. He has over 600 technical publications including 62 books (12 text books), research volumes, and edited volumes. His most recent edited books are on system of systems engineering. Six of his books have been translated into at least one foreign language. He is the Founding Editor or co-founding editor or Editor-in-Chief of 5 journals including IEEE Control Systems Magazine and the IEEE Systems Journal. Dr. Jamshidi is a Fellow or member of 8 societies and academies. He is the recipient of the IEEE Centennial Medal and IEEE Control Systems Society Distinguished Member Award and the IEEE CSS Millennium Award, and NASA Public Service Award in 2006. He is currently on the Board of Governors of the IEEE Society on Systems, Man and Cybernetics and the IEEE Systems Council. He is an Honorary Professor at three Chinese Universities and Deakin University in Australia. In October 2005 he was awarded the IEEE’s Norbert Weiner Research Achievement Award. He is a UK Royal Academy of Engineering distinguished fellow at Cardiff University, Wales, UK in 2009-2010. He spent a one-month lecture tour in UK in summer 2009. In May 2009 he was selected a member of the review board of US-Vietnam Education Foundation.

From Large-Scale Systems to SYSETM OF SYSTEMS – Innovations and Challenges for the 21st Century

ABSTRACT

Almost 5 decades have passed from the organized formulation of Large-Scale Systems (LSS) engineering as a branch of control and systems engineering. In the 1960’s modeling, analysis and synthesis of complex systems were being pursued by a number of research teams in the US and overseas. Among them were teams at MIT, Illinois, Case Western Reserve, and Virginia in US, Toronto in Canada among others in Europe and Japan. Today, Systems engineering is at a crossroad now at the beginning of the 21st Century. One of the main challenges of any paradigms in systems engineering is being able to handle complex systems under unforeseen uncertainties. A system may be called complex if its dimension (order) is too high and its model (if available) is nonlinear, interconnected, and information on the system is uncertain such that classical techniques cannot easily handle the problem. A system of systems (SoS) is a “super system,” or an integration of complex systems coordinated together in such a way to achieve a wider goal with possible higher significance. Applications of SoS are quite extensive – examples are future combat mission, Global Warming, Mars missions, Air Traffic System, Global Earth Observation System, Electric Power Grid System, Energy systems, etc. In system of systems engineering, almost all aspects of system engineering need to be revisited. Two aspects are sensing and control. From the control problem point of view, the difficulty arises that each system’s control strategy can not depend solely on its own on-board sensory information, but also due to communication links among all the neighboring systems or between sensor, controllers and actuators. The main challenge in design of a controller for SoS’s is the difficulty or impossibility of developing a comprehensive SoS model, either analytically or through simulation, by and large, SoS control remains an open problem and is, of course, different for each application domain. Should a mathematical model be available; some control paradigms are available which will be the focus of this chapter. Moreover, real-time control – which is required in almost all application domains – of interdependent systems poses an especially difficult problem. Nevertheless, several potential control paradigms are briefly considered in this chapter. These control paradigms are hierarchical, decentralized, consensus-based, cooperative and networked. In this presentation system of systems are being introduced, challenges are brought up and potential solutions and needs are discussed. Special emphasis on UTSA ACE Center’s SoS technology will be demonstrated. Some Animated and experimental implementation as well as media movies and clips will be shown.


MengChu Zhou

MengChu Zhou is a Professor of Electrical and Computer Engineering and the Director of Discrete-Event Systems Laboratory at New Jersey Institute of Technology. His research interests are in Petri nets, collaborative systems, intelligent automation, and sensor networks. He has over 360 publications including 10 books, 150+ journal papers (majority in IEEE Transactions), and 17 book-chapters. He is an editorial board member of Enterprise Information Systems and Journal of Zhejiang University-Science C: Computers and Electronics, Associate Editor of IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans and IEEE Transactions on Industrial Informatics, and Editor of IEEE Transactions on Automation Science and Engineering. He was General Co-Chair of 2003 IEEE International Conference on Systems, Man and Cybernetics, Washington DC, October 5-8, 2003, Founding General Co-Chair of 2004 IEEE Int. Conf. on Networking, Sensing and Control, Taipei, March 21-23, 2004, and General Chair of 2006 IEEE Int. Conf. on Networking, Sensing and Control, Ft. Lauderdale, Florida, U.S.A. April 23-25, 2006, and 2008 IEEE Conf. on Automation Science and Engineering, Washington D.C., August 23-26, 2008. He was Program Chair of 2010 IEEE International Conference in Mechatronics and Automation, 1998 and 2001 IEEE International Conference on Systems, Man and Cybernetics, 1997 IEEE International Conference on Emerging Technologies and Factory Automation. Dr. Zhou was the recipient of NSF’s Research Initiation Award, CIM University-LEAD Award by Society of Manufacturing Engineers, Perlis Research Award by NJIT, Humboldt Research Award for US Senior Scientists, and Outstanding Contribution Award by IEEE Systems, Man and Cybernetics Society. He was the founding chair of Discrete Event Systems Technical Committee, and founding co-chair of Enterprise Information Systems of IEEE Systems, Man and Cybernetics Society. He became Fellow of IEEE in 2003.

Role-based Collaboration

Collaboration is a common activity in a society of people. Collaboration means to work together. It commonly mentions a joint intellectual work. We can infer that collaboration or group work is required when one single person cannot complete a whole task. Computer-based systems are tools to extend the abilities for people to work. They should not only provide virtual environments or platforms for people to work but also provide more technologies and mechanisms to improve people's work. Clear role specification and related mechanisms play an essential role in developing the intelligent collaborative systems. In this talk, we intend to clarify the concept of roles and role-based collaboration and answer the following questions: What do we mean by roles in collaboration? Why do we need them? How can we support them? What are their implications in software engineering?