Symposium for Resilient Control Systems
6th International Symposium on Resilient Control Systems

Keynote Speakers

Dr. S. Massoud Amin, University of Minnesota
Massoud Amin Dr. S. Massoud Amin is the Honeywell/H.W. Sweatt Chair in Technological Leadership, a University Distinguished Teaching Professor, a full professor of electrical and computer engineering, and directs the Technological Leadership Institute (TLI) at the University of Minnesota.

His research focuses on two areas: 1) Global transition dynamics to enhance the resilience, security, and efficiency of systems of critical national infrastructures, and 2) Technology scanning, mapping, and valuation to identify new technology-based opportunities that meet the needs and aspirations of today's consumers and companies.

At TLI, he leads a staff of 5 endowed chairs, 9 professional staff, and 47 senior faculty from across the 8 colleges at the University and industry executives, who develop local and global leaders for over 280 technology enterprises.

Dr. Amin serves as the director of graduate studies (DGS) for the Master of Science in Security Technologies (MSST) program (2008-present), served as the DGS for the management of technology (MOT) program (2003-2009). He is an expert in and teaches graduate courses on smart grids, complex dynamical systems and controls, critical infrastructure security and protection, emerging and pivotal technologies, S&T Policy, and IP valuation and strategy.

Prior to joining the University of Minnesota in March 2003, Dr. Amin held positions of increased responsibility including Area Manager of Infrastructure Security, Grid Operations/Planning, and Energy Markets at the Electric Power Research Institute (EPRI) in Palo Alto, California. In the aftermath of the tragic events of 9/11, he directed all security-related research and development at EPRI, including the Infrastructure Security Initiative (ISI) and the Enterprise Information Security (EIS). Prior to October 2001, he served as manager of mathematics and information science at EPRI, where he led strategic research in modeling, simulation, optimization, and adaptive control of national infrastructures for energy, telecommunication, transportation, and finance.

At EPRI, Dr. Amin developed collaborative research initiatives with diverse groups, including electric power industry, the government, universities and other stakeholders (including EPRI and its members, the US DOD, DOE, NSF, National Governors' Association, NRC/NAE, and the White House OSTP). This primarily involved creation and successful launch of the Complex Interactive Networks/Systems Initiative (CIN/SI), initiated in mid-1998 in response to growing concerns over the vulnerability of critical national infrastructures. CIN/SI developed six research consortia consisting of 108 professors and over 200 researchers in 28 U.S. universities, along with two energy companies, co-funded equally by EPRI and the U.S. DOD.

Dr. Amin pioneered RD&D in smart grids and self-healing infrastructures in 1998 and has led the development of over 24 technologies transferred to industry.

In his leading work on technological infrastructure and security, Dr. Amin has contributed to projects with the United States Air Force, NASA-Ames, Rockwell International, McDonnell Douglas, Boeing, MEMC, ESCO, Systems and Electronics Inc., United Van Lines, our nation's electric power industry, the government, universities and other stakeholders including US DOD, DOE, NSF, NAE, NGA, OHS/DHS, and the White House OSTP.

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Dr. Piero P. Bonissone, General Electric Global Research
Piero Bonissone A Chief Scientist at GE Global Research, Dr. Piero Bonissone has been a pioneer in the fields of fuzzy logic, AI, soft computing, and approximate reasoning systems applications since 1979. His current interests are the development of multi-criteria decision-making systems for prognostics and health management (PHM) and the automation of predictive model ensembles, via dynamic fusion.

Piero received the PhD in EECS from UC Berkeley in 1979. He is a Fellow of the IEEE, AAAI, and IFSA. He is also a Coolidge Fellow at GE Global Research for lifetime achievements. He is the recipient of the 2012 Fuzzy Systems Pioneer Award from IEEE CIS. In 2010, he became President of the Scientific Committee of the European Centre of Soft Computing. In 2008, he received the II Cajastur International Prize for Soft Computing from the European Centre of Soft Computing. In 2005, he received the Meritorious Service Award from the IEEE CIS. He served as Editor in Chief of the International Journal of Approximate Reasoning for 13 years. He is in the editorial board of five technical journals and is Editor-at-Large of the IEEE Computational Intelligence Magazine. He has co-edited six books and has over 150 publications in refereed journals, book chapters, and conference proceedings, with an H-Index of 30 (by Google Scholar). He received 65 patents issued from the US Patent Office (plus 15 pending patents). From 1982 until 2005 he was an Adjunct Professor at Rensselaer Polytechnic Institute, in Troy NY, where he supervised 5 PhD theses and 33 Master theses. He co-chaired 12 scientific conferences (nine of which sponsored by CIS) focused on Multi-Criteria Decision-Making, Fuzzy sets, Diagnostics, Prognostics, and Uncertainty Management in AI. Dr. Bonissone is very active in the IEEE, where he served as a member of the Fellow Evaluation Committee from 2007 to 2009. In 2002, while President of the IEEE Neural Networks Society (now CIS), he was also a member of the IEEE Technical Activities Board (TAB). He has been an IEEE CIS Distinguished Lecturer from 2004 to 2011.

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David H. Scheidt, Johns Hopkins University's Applied Physics Laboratory
David Scheidt David H. Scheidt is Principal Professional Staff at Johns Hopkins University's Applied Physics Laboratory where for the last 15 years he has been conducting research on distributed intelligent control systems, autonomous unmanned vehicles and command and control. After receiving a B.S. in Computer Engineering from Case Western Reserve University, Mr. Scheidt spent 14 years in industry researching and developing development of information management and process control systems including: hydro-electric power-distribution control, locomotive control, railroad dispatching and mass transit dispatching systems. Mr. Scheidt also led the early development of several wide-area records management systems, including leading the development of immunization records tracking systems for five U.S. states and the second multi-level secure information system to achieve operational status. Throughout his career Mr. Scheidt has conducted research in concert with his development efforts, publishing over 50 peer reviewed publications for research funded by the National Computer Security Center (NCSC), ONR, NASA, DISA, OSD NII and the US Army. Mr. Scheidt's current research interests are autonomous systems and intelligent controls and intelligent cyber-physical systems including ship auxiliary systems, spacecraft and unmanned vehicles. Mr. Scheidt is an awardee of the National Performance Review's Hammer Award (twice) and the Hart Prize for outstanding research (twice).

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