National CPS PI Meeting 2016
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George J. Pappas is the Joseph Moore Professor and Chair of the Department of Electrical and Systems Engineering at the University of Pennsylvania. He also holds a secondary appointment in the Departments of Computer and Information Sciences, and Mechanical Engineering and Applied Mechanics. He is member of the GRASP Lab and the PRECISE Center. He has previously served as the Deputy Dean for Research in the School of Engineering and Applied Science.
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Ricardo G. Sanfelice is an Associate Professor of Computer Engineering, University of California at Santa Cruz, CA, USA. He received his M.S. and Ph.D. degrees in 2004 and 2007, respectively, from the University of California, Santa Barbara. During 2007 and 2008, he was a Postdoctoral Associate at the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology and visited the Centre Automatique et Systemes at the Ecole de Mines de Paris for four months. Prof.
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Sertac Karaman received his Ph.D. in Computer Science from Brown University in 1983 is the Charles Stark Draper Assistant Professor of Aeronautics and Astronautics at the Massachusetts Institute of Technology (since Fall 2012). He has obtained B.S. degrees in mechanical engineering and in computer engineering from the Istanbul Technical University, Turkey, in 2007, an S.M. degree in mechanical engineering from MIT in 2009, and a Ph.D. degree in electrical engineering and computer science also from MIT in 2012.
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Dennice F. Gayme received a B. Eng & Society from McMaster University in 1997 and an M.S. from the University of California at Berkeley in 1998, both in Mechanical Engineering. In 2010, she received her Ph.D. in Control and Dynamical Systems from the California Institute of Technology, where she was a recipient of the P.E.O. scholar award in 2007 and the James Irvine Foundation Graduate Fellowship in 2003.
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Jana Doppa is an Assistant Professor of Computer Science at Washington State University, Pullman. He earned his PhD working with the Artificial Intelligence group at Oregon State University (2014); and his MTech from Indian Institute of Technology (IIT), Kanpur, India (2006). His general research interests are in the broad field of Artificial Intelligence (AI) and its applications including planning, natural language processing, and computer vision.
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Aranya Chakrabortty is an Associate Professor in the Electrical & Computer Engineering department of North Carolina State University, Raleigh, NC. He received his Ph.D degree from Rensselaer Polytechnic Institute, Troy, NY in 2008 in Electrical Engineering. From 2008 to 2009 he was a post-doctoral research associate at University of Washington, Seattle. His research interests are in all branches of control theory, and their applications to power system dynamics and control using emerging technologies such as Wide-Area Measurement Systems (WAMS). Dr.
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The current lack of toolchain for high confidence testing, validation and verification of advanced, connected and automated/autonomous vehicles can impede and even entirely prevent the introduction of such vehicles into mass production. To address this challenge, this projects develops theory, methods, and tools for generating and optimizing test trajectories and data inputs that can maximize opportunities to uncover faults in both physical and cyber domains in future automotive vehicles.
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Rajesh Kavasseri is an Associate Professor and Graduate Program Director in the Department of Electrical Engineering and Computer Engineering at North Dakota State University (NDSU). Dr. Kavasseri received his BS from the Visvesvaraya National Institute of Technology, Nagpur, India in 1995, his M.S. from the Indian Institute of Science (IISc), Bangalore, India in 1998 and PhD from Washington State University, Pullman in 2002, all in Electrical Engineering. His primary research expertise is in bulk power system dynamics, power systems computation, stability and control.
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Abstract: The presentation will talk about our work on the topic so far. In particular, we will present a new lightweight integrity checking algorithm for smart grid communications that can meet the stringent latency requirements of protection switching. We will also discuss a novel method to detect data falsification attacks on smart meters.
