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.

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.

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.

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.

Abstract: Future CPS will include large, decentralized systems of semi-autonomous sensor and actuator components, and will need to operate safely beyond human response times. One current data-rich example is the U.S. network of electronic exchange networks which is the largest and fastest network CPS in existence, but is already known to produce a wide variety of sub-second instabilities that are little understood and which impact safety, efficiency and accuracy.

Ravishankar Iyer is the George and Ann Fisher Distinguished Professor of Engineering at the University of Illinois at Urbana-Champaign. He holds joint appointments in the Department of Electrical and Computer Engineering, the Coordinated Science Laboratory (CSL), and the Department of Computer Science and serves as Chief Scientist of the Information Trust Institute and is affiliate faculty of the National Center for Supercomputing Applications (NCSA) and the Carl R. Woese Institute for Genomic Biology at Illinois.

Alec Yasinsac is Professor and Dean of the School of Computing at the University of South Alabama. He joined the School of Computing in July 2008 after spending nine years on the faculty at Florida State University which followed a twenty year career in the United States Marines as a Data Systems and Communications Officer.

Abstract: The Internet of Things is emerging as a critical technology of the next decade, but no-one has yet asked what a security-driven architecture for these applications would look like. The web has shown us that applying existing technologies and a rush to development lead to tremendous security flaws that have piecemeal solutions.

Insup Lee is Cecilia Fitler Moore Professor of Computer and Information Science and Director of PRECISE Center, which he co-founded in 2008 at the University of Pennsylvania. His research interests include cyber- physical systems (CPS), real-time systems, embedded systems, high- confidence medical device systems, formal methods, run-time verification, assurance cases, CPS security, and trust management. The theme of his research activities has been to assure and improve the safety, security, and timeliness of life-critical embedded systems.