Tentative Title: Design of Ultra Complex Man-Made Engineering Systems

John S. Baras
Professor and Lockheed Martin Chair in Systems Engineering
Institute for Systems Research
University of Maryland at College Park, USA

Biodata: Diploma in Electrical and Mechanical Engineering from the National Technical University of Athens, Greece, 1970; M.S., Ph.D. in Applied Mathematics from Harvard University 1971, 1973.

Since 1973, faculty member in the Electrical and Computer Engineering Department, and in the Applied Mathematics, Statistics and Scientific Computation Program, at the University of Maryland College Park. Founding Director of the Institute for Systems Research (ISR), 1985 to 1991. Since 1991, Founding Director of the Maryland Center for Hybrid Networks (HYNET). Since 2013, Guest Professor at the Royal Institute of Technology (KTH), Sweden.

IEEE Life Fellow, SIAM Fellow, AAAS Fellow, NAI Fellow, IFAC Fellow, and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA).

Received the 1980 George Axelby Prize from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2014 Tage Erlander Guest Professorship from the Swedish Research Council, and a three year (2014-2017) Senior Hans Fischer Fellowship from the Institute for Advanced Study of the Technical University of Munich, Germany. In 2016 he was inducted in the A. J. Clark School of Engineering Innovation Hall of Fame of the University of Maryland, and received the 2017 IEEE Simon Ramo Medal, and the 2017 AACC Richard E. Bellman Control Heritage Award.

Professor Baras' research interests include systems and control, optimization, communication networks, signal processing and understanding, applied mathematics, robotics, computing systems and networks, network security and trust, and model-based systems engineering.

Title: Smart Network Control in Automotive Systems

Prof. Rolf Ernst and Dr. Adam Kostrzewa
Institute of Computer and Network Engineering
Technical University of Braunschweig, Germany

Abstract: The majority of engineering and research efforts in existing automotive systems targets critical communication. Transmissions originating from this domain are originally periodic with statically, predefined access patterns, but with new functions in driving automation, critical event driven communication becomes more commonplace. Critical functions require well defined behavioral guarantees verified by in-depth testing and verification including real-time properties. Therefore, critical system parts come with well characterized behavior. The second group of workloads – dynamic communication –originates from the new and old applications in automotive systems e.g. cloud communication, over-the-air updates, car2-x communication, and non-critical driver support functions (Advanced Driver Assistance System, ADAS). Their transmissions are often sporadic and the access patterns and their combination often unknown at design time. Therefore, they introduce dynamics to the interconnect traffic patterns. In many current and future vehicle superstructures, these two traffic classes must coexist in the same network infrastructure. This poses a set of new challenges which designers must consider during the system development. Application of the TSN standard allows solving many problems of the critical communication. However, static configurations as assumed for TSN networks penalizes dynamic communication profiles. Consequently, static network management, as used in current safety critical systems, is no more sufficient to provide the needed level of performance. This presentation will review the future network challenges and propose a dynamic network management that meets both the requirements of critical communication and provides efficiency for dynamic profiles.

Biography: Rolf Ernst is a professor of electrical engineering at the Technical University of Braunschweig, Germany, where he chairs a university institute of 50 researchers and staff. He was Head of the Department of Electrical Engineering from 1999 to 2001. His research activities include embedded system design and cyber-physical systems. The activities are or have been supported by the German "Deutsche Forschungsgemeinschaft" (corresponds to the NSF), by the German BMBF and BMWi, by the European Union, and by industrial contracts, such as from Bosch, BMW, Daimler, Airbus, GM, IAV, Intel, Ford, Thales, Toyota, or Volkswagen. He chaired major international events, such as the International Conference on Computer Aided Design of VLSI (ICCAD), EMSOFT, CODES+ISSS, ESWEEK, ECRTS, or the Design Automation and Test in Europe (DATE) Conference&Exhibition, and was Chair of the European Design Automation Association (EDAA), which is the main sponsor of DATE. For more than 15 years, he has served in many functions of the German DFG (corresponds to NSF), as an elected member (Fachkollegiat) and Deputy Spokesperson of the "Computer Science" review board, and as a member of the member of the DFG Senat Committee for Collaborative Research Centers. He currently represents the DFG at TU Braunschweig as a DFG Liaison Officer. He is an IEEE Fellow, a DATE Fellow, and served as an ACM-SIGDA Distinguished Lecturer. He is a member of the German National Academy of Science and Engineering, acatech. He received the EDAA Lifetime Achievement Award 2014.

Biography: Adam Kostrzewa is a postdoctoral research fellow and a staff member at the Institute of Computer and Network Engineering at the Technical University of Braunschweig where he has been working since 2012. Previously with the Technical University of Berlin and the Technical University of Warsaw. Dr. Kostrzewa received his Dr.-Ing. in Electrical Engineering from the Technical University of Braunschweig under the direction of Prof. Rolf Ernst. His research focuses on new technologies for secure and reliable network architectures for embedded systems with real-time requirements such as automotive or avionics. The results of his work have led to many peer-reviewed publications, including journals, magazines, special sessions and international conferences such as DATE, ASP-DAC, DAC, RTSS or NOCs as well as high-profile journals such as IEEE Design & Test. He participated, including leading positions, in several research projects e.g. EMC2 (largest EU project in Embedded Safety), ARAMIS, ARAMISII (largest German national projects in Embedded Safety).

Title: Ambient Intelligence: Convergence of Artificial Intelligence, Machine Learning, Biometrics, Cloud Computing, and Internet-of-Things

Prof. Vincenzo Piuri, FIEEE
Department of Computer Science
University of Milan, Italy

Abstract: Adaptability and advanced services for ambient intelligence require an intelligent technological support for understanding the current needs and the desires of users in the interactions with the environment for their daily use, as well as for understanding the current status of the environment also in complex situations. This infrastructure constitutes an essential base for smart living. Various technologies are nowadays converging to support the creation of efficient and effective infrastructures for ambient intelligence.

Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviors and needs of individuals as well as the environment to support informed decisions in managing the environment itself and its adaptation to the people’s needs.

Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behavior of the environment. Machine learning can be exploited for dynamically learning the preferences and needs of individuals and enrich/update the profile associated either to such individual or to the group. Biometrics can also be used to create advanced human-computer interaction frameworks.

Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to build applications easily.

This talk will analyze the opportunities offered by these technologies to support the realization of adaptable operations and intelligent services for smart living in an ambient intelligent infrastructures.

Biography: Vincenzo Piuri has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the University of Milan, 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: intelligent systems, artificial intelligence, signal and image processing, machine learning, pattern analysis and recognition, biometrics, intelligent measurement systems, industrial applications, cloud computing, and dependability. 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 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 (2013-19), and Associate Editor of the IEEE Transactions on Computers and the IEEE Transactions on Cloud Computing, 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). He is Honorary Professor at: Obuda University, Budapest, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; and the Amity University, India.

Title: AI: technology revolution and ethical challenges

Prof. Jacek M. Zurada, LFIEEE
Computational Intelligence Laboratory & Department of Electrical and Computer Engineering
University of Louisville, USA

Biography: Dr. Jacek Zurada is a Professor of Electrical and Computer Engineering at the University of Louisville, Louisville, Kentucky, USA. He was a post-doc at Swiss Federal Institute of Technology, Zurich, a Visiting Professor at Princeton University, and a Distinguished Visiting Professor at NUS and NTU (Singapore).

Dr. Zurada was 2014 vice president, IEEE Technical Activities, and president of the IEEE Computational Intelligence Society in 2004 and 2005. He was editor in chief of the IEEE Transactions on Neural Networks from 1998 to 2003 and chaired the IEEE Technical Activities Board (TAB) periodicals committee in 2010 and 2011.

He has authored several textbooks including the pioneering neural networks text and over 420 refereed publications in deep learning, neural networks and image/signal processing that have resulted in over 11,900 citations. He has advised 22 PhD students, now leaders in academia, Google, Facebook and Amazon. He has also served industry and start-ups as a consultant.

Dr. Zurada has delivered over 160 invited plenary conference presentations and seminars, including Distinguished Lectures for three IEEE Societies. He received numerous IEEE, university and scholarly society awards for research, teaching and service. He was elected to the Polish Academy of Sciences and received six honorary doctorates and professorships.