Title: Lockheed Martin Chair in Systems Engineering, Institute for Systems Research and Department of Electrical and Computer Engineering, University of Maryland

First Name / Prenom: John

Last Name / Surname: Baras

Conference Sponsor: NA

Professional Affiliation: University of Maryland College Park

John S. Baras,

Lockheed Martin Chair in Systems Engineering

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.

Since 2000, faculty member in the Fischell Department of Bioengineering.

Since 2014, faculty member in the Mechanical Engineering Department.

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, 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.

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

Email: [email protected] Web page: http://www.isr.umd.edu/~baras/

Various proposed frameworks for Model Based Systems Engineering (MBSE) or Model Based Engineering (MBE) neither include nor integrate models and analytics frameworks for lifecycle management. This is a major deficiency, which is amplified by the ubiquitous use of the Internet and cloud computing within enterprises and between enterprises and supply chain members. A few critical shortcomings that this current state of affairs creates include: difficulty or impossibility of efficient change management, difficulty or impossibility of careful tradeoffs via retrofitting to extend lifecycle, difficulty or impossibility for life cycle maintenance, difficulty or impossibility of carefully evaluating linkage of new systems in an existing system of systems. These weaknesses have very significant economic and resilience implications. MBSE must be properly extended to include interfaces for properly linking to a MBSE framework modeling and analytics tools for lifecycle management. We will describe briefly initial efforts towards this end and associated applications in smart manufacturing, smart cities, energy efficient buildings and healthcare management systems.