Keynote Speakers and Themes

Jay Lee

Jay Lee  -   University of Cincinnati - USA

        Dr. Jay Lee is Ohio Eminent Scholar, L.W. Scott Alter Chair Professor, and Distinguished Univ. Research Professor at the Univ. of Cincinnati and is Founding Director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (IMS ) which is a multi-campus NSF Industry/University Cooperative Research Center which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, Missouri Univ. of S&T, and Univ. of Texas-Austin. The Center has developed partnerships with over 80 companies from 15 countries since its inception in 2001. In addition, the Center has developed a spin-off company Predictronics with support from NSF ICorps Award in 2012. His current research focuses on smart predictive analytics for product design, manufacturing, and service Innovation systems. He is also founder of Dominant InnovationTM -- a methodology for product and service innovation design and has been used many Fortune 500 companies.
        Currently, he also serves as advisor to a number of global organizations, including a member of the Manufacturing Executive Leadership Council, member of International S&T Committee of Alstom Transport, France, Scientific Advisory Board of Flanders' MECHATRONICS Technology Centre (FMTC) in Leuven, Belgium, Scientific Advisor Board of SIMTech, Singapore, Member of Advisory Committee of MIRDC Taiwan, etc. In addition, he serves as editors and associate editor for a number of journals including IEEE Transaction on Industrial Informatics, Int. Journal on Prognostics & Health Management (IJPHM), etc. Previously, he served as Director for Product Development and Manufacturing at United Technologies Research Center (UTRC), E. Hartford, CT as well as Program Directors for a number of programs at NSF during 1991-1998, including the Engineering Research Centers (ERCs) Program, the Industry/University Cooperative Research Centers (I/UCRCs) Program, and the Materials Processing and Manufacturing Program. He also served as advisor to a number of universities including Cambridage Univ., Johns Hopkins Univ. etc.
        He is a Fellow of ASME, SME, as well as a founding fellow of International Society of Engineering Asset Management (ISEAM). He is a frequently invited speaker and has delivered over 180 invited keynote speeches at major international conferences and has over 15 patents and 2 trademarks (Watchdog AgentTM and Dominant InnovationTM). He received a number of awards including the most recent Prognostics Innovation Award from National Instruments in 2012.

Theme: Recent Advances and Trends of Cyber-Physical Systems and Big Data Analytics in Industrial Informatics Systems

        In today’s competitive business environment, companies are facing challenges in dealing with big data issues for rapid decision making for improved productivity. Many manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Germany is leading a transformation toward 4th Generation Industrial Revolution (Industry 4.0) based on Cyber-Physical System based manufacturing and service innovation. As more software and embedded intelligence are integrated in industrial products and systems, predictive technologies can further intertwine intelligent algorithms with electronics and tether-free intelligence to predict product performance degradation and autonomously manage and optimize product service needs.
        The presentation will address the trends of industrial transformation in big data environment as well as the readiness of smart predictive informatics tools to manage big data to achieve transparency and productivity. First, industry transformation including Germany 4.0 and cyber-physical system will be introduced. Second, advanced prognostics technologies for smart product service systems with case studies will be presented. In addition, research advances in designing cloud-based cyber-physical modeling for next-generation products and service systems will be discussed.

Bran Selic
Bran Selic - Malina Software Corp. - Canada

    Bran Selic is President of Malina Software Corp., a Canadian software consultancy. He is also Director of Advanced technology at Zeligsoft Limited in Canada and a Visiting Scientist at Simula Laboratories in Norway. In 2007, Bran retired from IBM Canada, where he was an IBM Distinguished Engineer, responsible for setting IBM’s strategy for software development tools. In addition, he is an adjunct professor of computer science at the University of Toronto, as well as a guest lecturer and researcher at the University of Sydney (Australia) and at INSA (Lyon, France). With close to 40 years of practical experience in designing and implementing large-scale industrial software systems, Bran has pioneered the application of model-driven development methods in real-time and embedded applications. In this domain, he has led numerous research projects, authored and edited several textbooks and numerous technical papers and chaired major conferences dedicated to these problems. He is one of the principal contributors to several technical standards, including chairing the committee responsible for the widely used UML 2 modeling language.

Theme: Model-Based Software Engineering in Industry: Revolution, Evolution, or Smoke?

       Software developers are incessantly inundated with wave upon wave of offered solutions to their many pains (pains, which, unfortunately, are ultimately felt by their clients): third generation languages, object oriented programming, CASE tools, aspects, components, programming frameworks, extreme programming, agile methods, to name just a few. Some of these have indeed had dramatic impacts on how software is developed, while others have proved mere passing fads, never fulfilling the potential claimed for them. One of the more recent entries in this multitude is model-based software engineering (MBSE) also referred to sometimes as model-driven development. From its emergence in the 1990’s, this approach to software development along with its accompanying technologies have been promoted by their advocates as game changers, promising quantum leaps in productivity and product quality. Following the initial excitement and hype generated around MBSE, its position in the limelight is now slowly fading, displaced by more recent cure-alls. While MBSE is being used in some enterprises, it is far from being the dominant software development paradigm that its proponents had hoped for. For many software professionals, its relevance and impact are unclear at best.
      In this talk, we first examine the essential precepts of MBSE and the value proposition claimed for it. Next, in order to understand the reality behind it – as opposed to the hype, we review current  experience with the use of MBSE in industry, based on a systematic and thorough survey of published data. We conclude with a critical assessment of the actual impact that MBSE has had to date and what the future might hold for it.

Detlef Zühlke
Detlef Zühlke    

        Prof. Zuehlke received his MS in Electrical Engineering and Applied Computer Sciences in 1976 and his PhD in Industrial Automation in 1983 from RWTH Aachen Germany. In 1985 he joined LUFTHANSA German Airlines and was responsible as a general manager for the maintenance operation Frankfurt. In 1991 Dr. Zuehlke became a Professor for Industrial Automation and Head of the Institute for Production Automation -pak- at the University Kaiserslautern. He is also the scientific director of the research institute on innovative factory systems (IFS) as part of the German Research Center for Artificial Intelligence DFKI Kaiserslautern. Since 2005 he is the chairman of the executive board of the “smartFactory-KL” a demonstration and research factory for innovative technologies funded by many industrial and academic partners.
        He is author of several books. In IFAC he is member of the technical board and chairs the CC4 on Mechatronics, Robotics and Components. His research interest is in factory control architectures, ICT in industrial environments and human-machine-systems for industrial applications.

Theme: Industry 4.0 Initiative

       Our industries are facing a period of major challenges. The customer demand for new products is coming at ever shorter intervals and is increasingly dependent on customized products that must be adapted for individual preferences. These challenges are evident in today's mobile phone market. Product life cycles of 6-9 months are the rule more frequently now and this is accompanied by a steady increase in the functionality of the products. Although enormous performance improvements in computer-aided  technology (CAx) during the past 10 years have allowed the design and planning phases to be adapted to the different limiting conditions, a similar breakthrough is still awaited in the actual manufacturing technologies.
     For solving this dilemma we can learn from the field of information and communication technologies. Computers are getting so small they seem to vanish inside nearly all of our technical devices. Beyond all this, things communicate in a world-wide network: the Internet. When we contemplate following this path into the future, we find that nearly all the things of everyday life will become smart nodes within a global network. This phenomenon is called the Internet-of-Things (IoT). This trend will certainly find its way also into industrial production. The strong bias of the electro-technical and hierarchical world of factory automation will transition to smart factory networks, which increasingly benefit from the advances in Information and Communication Technology (ICT) and  computer sciences. This will lead us to smart production processes in smart factories. In Germany, this vision is called “the fourth Industrial Revolution or, in shorthand, Industrie 4.0".
This work will present the Industrie 4.0 paradigm and discuss the impact on future production.

Okyay Kaynak
Okyay Kaynak   

        Okyay Kaynak received the B.Sc. degree with first class honors and Ph.D. degrees in electronic and electrical engineering from the University of Birmingham, UK, in 1969 and 1972 respectively.
         After spending some years in industry, he joined the Department of Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey in 1979, where he is presently a Full Professor. He has hold long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, U.S., Singapore and China.
       Dr. Kaynak is a fellow of IEEE. His current research interests are in the fields of intelligent control and mechatronics. He has served on many committees of IEEE and was the president of IEEE Industrial Electronics Society during 2002-2003. He was the founding Editor-in Chief on IEEE Transactions on Industrial Informatics. Currently he is the Editor-in-Chief of Transactions on IEEE/ASME Transaction on Mechatronics.

Theme: The Exhilarating Journey from Industrial Electronics to Industrial Informatics

       This presentation will discuss the challenges that face industry in the 21st century. An assessment of the past will be presented, discussing the profound technological changes that have taken place during the last 2 decades, especially the changes observed in the manufacturing industry. The paradigm change from industrial electronics to industrial informatics will be pointed out to. This will be followed by a look at the evolution of the manufacturing paradigms. In the closing parts of the presentation, the state-of-the-art reached in industrial informatics will be given with examples and a perspective on the future will be presented, pointing out the challenges that the manufacturing industry will have to face by the end of the next decade.

Toshio Fukuda
Toshio Fukuda   

        Toshio Fukuda graduated from Waseda University, Tokyo, Japan in 1971 and received the Master of Engineering degree and the Doctor of Engineering degree both from the University of Tokyo, in 1973 and 1977, respectively. He joined the National Mechanical Engineering Laboratory in Japan in 1977, the Science University of Tokyo in 1981, and then joined Department of Mechanical Engineering, Nagoya University, Japan in 1989.
      He is currently one thousand talented foreign Professor at BIT. He is Professor Emeritus of Nagoya University, having worked as Professor of Dept. of Micro and Nano System Engineering and Dept. of Mechano-Informatics and Systems, Nagoya University, Japan and as director of Center for Micro and Nano Mechatronics. He has been working as Professor of Shenyang University of Technology, Institute of Automation, Chinese Academy of Science, Russell Springer Chaired Professor at UC Berkeley, Seoul National University, Advisory Professor of Industrial Technological Research Institute and etc.
He is mainly engaging in the research fields of intelligent robotic system, micro and nano robotics, bio-robotic system, and technical diagnosis and error recovery system.
     He was the President of IEEE Robotics and Automation Society (1998-1999), Director of the IEEE Division X, Systems and Control (2001-2002), the Founding President of IEEE Nanotechnology Council (2002-2005), and Region 10 Director (2013-2014). He was Editor-in-Chief of IEEE/ASME Trans. Mechatronics (2000-2002).
      He was the Founding General Chairman of IEEE International Conference on Intelligent Robots and Systems (IROS) held in Tokyo (1988).  He was Founding Chair of the IEEE Workshop on Advanced Robotics Technology and Social Impacts (ARSO, 2005), Founding Chair of the IEEE Workshop on System Integration Internatioal (SII, 2008), Founding Chair of the International Symposium on Micro-Nano Mechatronics and Human Science (MHS, 1990-2012).
      He has received many awards such as IEEE Eugene Mittelmann Achievement Award (1997), IEEE Third Millennium Medal (2000) , IEEE Robotics and Automation Pioneer Award (2004), IEEE Transaction Automation Science and Engineering Googol Best New Application Paper Award (2007), George Saridis Leadership Award in Robotics and Automation (2009), IEEE Robotics and Automation Technical Field Award (2010). He received the IROS Harashima Award for Innovative Technologies (2011) and Friendship Award of Liaoning Province PR China (2012).
     IEEE Fellow (1995). SICE Fellow (1995). JSME Fellow (2002), RSJ Fellow (2004), VRSJ Fellow (2011) and member of Science Council of Japan (2008-), and Academy of Engineering of Japan (2013-).

Theme: Mutli-scale Robotics

       This talk is an overview of the Multi-scale robotics, based on the Cellular Robotics System, which is the basic concept of the emergency of intelligence in the multi-scale way from Cell Level to the Organizational Level, proposed 30 years ago. It consists how the system can be structured from the individual to the group/society levels in analogy with the biological system. It covers with the wide range of challenging topics:
     1.    Individual robot level, Brachiation Robots and Multi-locomotion robots, medical robotics and simulator,
       2.    Cooperation and competition of the multiple robotics system
       3.    Distributed autonomous robotic system
       4.    Micro and nano robotics system
       5.    Bio analysis and synthesis : bio-robotics system

Anuradha Annaswamy
Anuradha Annaswamy

       Dr. Anuradha Annaswamy received the Ph.D. degree in Electrical Engineering from Yale University in 1985. She has been a member of the faculty at Yale, Boston University, and MIT where currently she is the director of the Active-Adaptive Control Laboratory and a Senior Research Scientist in the Department of Mechanical Engineering. Her research interests pertain to adaptive control theory and applications to aerospace and automotive control, active control of noise in thermo-fluid systems, control of autonomous systems, decision and control in smart grids, co-design of control and distributed embedded systems, and CPS-design of transportation systems. She is the author of a graduate textbook, over a hundred journal publications, and numerous conference publications. She is the co-editor of the IEEE CSS report on Impact of Control Technology: Overview, Success Stories, and Research Challenges, 2011, and the coeditor of the IEEE publication “IEEE Vision for Smart Grid Control: 2030 and Beyond,” 2013.
      Dr. Annaswamy has received several awards including the George Axelby and Control Systems Magazine best paper awards from the IEEE Control Systems Society, the Presidential Young Investigator award from the National Science Foundation, the Hans Fisher Senior
Fellowship from the Institute for Advanced Study at the Technische Universität München in 2008, and the Donald Groen Julius Prize for 2008 from the Institute of Mechanical Engineers. Dr. Annaswamy is a Fellow of the IEEE and a member of AIAA. She is currently serving as the Vice President for Conference Activities in the Executive Committee of the IEEE Control Systems Society.

Theme: Smart Grid – A Quintessential Illustration of an Energy Cyberphysical System

       The 21st century is witnessing a prodigious change in energy landscape with the arrival of renewable sources such as wind and solar, global concerns of sustainability and greenhouse gas emissions, and dwindling resources of fossil fuels. The obvious advantages of reduced operational costs and emissions, obtainable with renewables such as off-shore wind-farms and solar-panels on individual buildings, are accompanied with the challenges of intermittency and distributed availability. Smart Grid is a transformative global imperative that can meet these challenges via using a cyber-physical infrastructure that plans, controls, and delivers power to meet demand over an entire region.
       This talk will present the key features of the cyberphysical infrastructure that can engender such a transformation. These features include (a) Transactive Control, an architecture that enables efficient participation of various heterogeneous stakeholders in the process including the renewable energy producers, demand response constituents, and aggregators while ensuring reliable power delivery, (b) Demand Response, an emerging paradigm where consumers dial-in their demand in response to strategically placed incentives, (c) Heterogeneous Storage mechanisms with varying authority, constraints, and ramp-rates , and (d) Cyber-physical Resilience, the ability to provide optimal recovery in the presence of natural and cyber anomalies. In this talk, various scenarios that exemplify the CPS infrastructure, the associated research challenges, and recent illustrations will be presented.