David Corman is a Program Director and leader of the Cyber Physical Systems program at the National Science Foundation.  Dr. Corman has a broad range of research interests spanning many technologies fundamental to CPS application areas including transportation, energy, medical devices, and manufacturing.  Dr. Corman has extensive industrial experience in the development, design, and manufacture of CPS systems.  Dr. Corman received PhD degree in electrical engineering from the University of Maryland.

Vinay Pai obtained his Ph.D. in Mechanical Engineering from Florida State University in 1997. Dr. Pai’s research interests have been wide-ranging with a primary focus on developing biomedical imaging using a range of modalities. He worked on Ultrasound Contrast Agents, Cardiac MRI Navigators and Steady-State MRI during a staff fellowship posting at the Laboratory of Cardiac Energetics, NHLBI, NIH, under the mentorship of Dr. Han Wen. Subsequently, as a Research Assistant Professor in the Department of Radiology at New York University, he worked on high Temporal Resolution Multi-echo Fast MRI for Cardiac Imaging and Hyperpolarized Helium-based Lung Imaging, besides working with Dr. Leon Axel on Cardiac MRI Tagging. After a short stint as Assistant Professor at SUNY Upstate Medical University, Syracuse, where he obtained funding from the CM Baldwin Breast Cancer Foundation to develop spot compression elastomammography, he returned to the NIH as a Staff Scientist in the Imaging Physics Laboratory, NHLBI. In this position, he worked on developing an image processing technique, PCATMIP, with Dr. Han Wen, for improving signal-to-noise in diffusion-weighted MRI primarily for cardiac and other non-neuro applications. He also worked on using Microcomputed Tomography Techniques for imaging the coronary wall in mice and for Visualizing X-ray Contrast Media. Dr. Pai has six (6) approved patents and one (1) patent application pending.

Feng Zhao is an Assistant Managing Director at Microsoft Research Asia, responsible for the hardware, mobile and sensing, software analytics, systems, and networking research areas. His research has focused on wireless sensor networks, energy-efficient computing, and mobile and cloud systems. He has authored or co-authored over 100 technical papers and books, including a book, Wireless Sensor Networks: An information processing approach, by Morgan Kaufmann, and has over 30 US patents issued. Since joining Microsoft Research Asia in 2009, Feng and his team have developed mobile and cloud solutions that advanced the state-of-the-art in computing and significantly impacted Microsoft product groups: accurate indoor navigation system, efficient search index serving platform, interactive visual analytics for big data, and software defined radio and networking for data centers. Prior to joining MSR-Asia, Feng was a Principal Researcher at Microsoft Research Redmond (2004-2009), and founded the Networked Embedded Computing Area. During this time, he led the team to develop the MSR sensor mote, Tiny Web Service, SenseWeb and SensorMap, Data Center Genome, JouleMeter, and GAMPS data compression. Feng was a Principal Scientist at Xerox Palo Alto Research Center (Xerox PARC) (1997-2004) and founded PARC’s sensor network effort. He played a key role in PARC’s Smart Matter Project that developed tiny networked sensors and actuators for embedding into physical environments, and a suite of collaborative sensing, control and processing protocols, including the IDSQ algorithm. Feng was the founding Editor-In-Chief of ACM Transactions on Sensor Networks (2003-2010), and founded the ACM/IEEE IPSN conference in 2001. He served on ACM SIGBED Executive Committee (2004-2010), as Technical Program Co-Chairs for ACM Sensys’05 and Mobisys’13, and on the Steering Committee for CPSWeek (2007-now). In 2008, he worked with USENIX and ACM to start HotPower, a technical forum focusing on sustainable computing. Feng received his BS from Shanghai Jiaotong University (1984), and MS and PhD in Electrical Engineering and Computer Science from MIT (1988 and 1992, respectively). He taught at Ohio State University as an Assistant and then tenured Associate Professor in Computer Science (1992-1997), and at Stanford University as a Consulting Professor of Computer Science (1999-2006). Feng is also a Professor at Shanghai Jiaotong University, University of Science and Technology of China, and Harbin Institute of Technology, and an Affiliate Faculty at University of Washington. He serves on the advisory boards for Information Engineering at Chinese University of Hong Kong and Computer Science and Engineering at Hong Kong University of Science and Technology. An IEEE Fellow, Feng received a Sloan Research Fellowship (1994) and US NSF and ONR Young Investigator Awards (1994, 1997). His work has been featured in news media such as BBC World News, BusinessWeek, and Technology Review.

Abhishek Dubey. is a Research Scientist at the Institute for Software Integrated Systems in Vanderbilt University. He is a Senior Member of IEEE.  His research interests are related to tools, and analytical techniques required for enabling and operating resilient cyber-physical platforms.  He is currently leading a team of engineers who along with Nashville MTA and the Siemens Corporate Technology partners are building a smart transit application platform for the NIST Global City Team Challenge. He received his PhD in Electrical Engineering from Vanderbilt University in 2009 and B.Tech. in Electrical Engineering from Indian Institute of Technology, BHU,  Varanasi, India in 2001.

Sumi Helal is a Professor at the Computer and Information Science and Engineering Department (CISE) at the University of Florida (UF), USA, and a Finland Distinguished Professor (FiDiPro) at Aalto University and the EIT ICT Labs, Finland. He is a pioneer and a recognized leader in the fields of Mobile, Pervasive and Ubiquitous Computing. He is well known for his interdisciplinary research on smart spaces and Health Telematics in support of Health Care and Aging, Disabilities and Independence (ADI). He directs the Mobile and Pervasive Computing Laboratory in the CISE department at UF. He is co-founder and director of the Gator Tech Smart House, an experimental facility for applied research development and validation in the domains of elder care and health telematics. He led and directed technology development of the NIDRR-funded Rehabilitation Engineering Research Center (RERC) on Successful Aging (2001-2007). Recently, he led a continuation project on smart home based personal health and independence, funded by the National Institutes of Health (NIH). His current research focuses on Smart Spaces (new technological enablers, architectures, ecosystem, intelligent interactions, and real world deployments), Internet of Things (scalable cloud-sensor architectures, programmability and city-scale optimizations), and Assistive Technology (aging, affective and persuasive interactions, context-driven simulation, and assistive technology for the blind and hearing impaired). Dr. Helal is well published with over 260 books, book chapters, Journals/transactions, and conference and workshop articles. Among his recent books are: “The Engineering Handbook of Smart Technology for Aging, Disability and Independence,” (2009), “The Landscape of Pervasive Computing Standards,” (2010), and the “Mobile Platforms and Development Environments,” (2012).. He organized 26 conferences or workshops, mostly IEEE and ACM, in the capacity of Program/General Chair/Co-Chair. He is one of the very few volunteers who organized and chaired both ACM Ubicomp (in 2009) and ACM MobiCom (in 2013). Dr. Helal is the Editor-in-Chief of IEEE Computer, the premier and flagship magazine of the IEEE Computer Society. He has been Associate Editor-in-Chief for Computer since 2009. Dr. Helal is also one of the 25 initial co-founders and an editorial board member of the IEEE Pervasive Computing magazine. He has been the Editor of the magazine's column on Standards, Tools and Emerging Technologies since the magazine’s inception in 2002 until 2011. He currently serves as Associate Editor-in-Chief of Pervasive Computing.       

Abhishek Murthy is a Member Research Staff in the Lighting Solutions and Services department of Philips Research North America.  He works on modeling and analysis of lighting-related cyber-physical systems for smart cities.  Abhishek received his PhD in 2014 from Stony Brook University's Computer Science department, where he worked on an automated framework for computing compositional proofs of Input-to-Output stability of feedback-based dynamical systems.

Lillian Ratliff is a Ph.D. candidate in Electrical Engineering and Computer Sciences at UC Berkeley. Her research interests lie at the intersection of the study of game theory, online optimization, statistical learning and societal-scale cyber-physical systems (S-CPS). She is interested in utilizing the complex datasets captured through new sensing and control technologies being deployed in critical infrastructure such as the smart grid, intelligent transportation systems, and healthcare systems to develop data-driven models and analytics for both system and agent behavior. Further, she aims to combine data-driven models and analytics with game-theoretic tools that capture complex socioeconomic interactions for analysis of new vulnerabilities and synthesis of control, both economic and physical, in S-CPS. She is the recipient of a National Science Foundation Graduate Research Fellowship.

Paul Bogdan received his Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh. He is an assistant professor in the Ming Hsieh Department of Electrical Engineering at University of Southern California. His work has been recognized with a number of distinctions, including the 2012 A.G. Jordan Award from the Electrical and Computer Engineering Department, Carnegie Mellon University for outstanding Ph.D. thesis and service, the 2012 Best Paper Award from the Networks-on-Chip Symposium (NOCS), the 2012 D.O. Pederson Best Paper Award from IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, the 2012 Best Paper Award from the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), the 2013 Best Paper Award from the 18th Asia and South Pacific Design Automation Conference, and the 2009 Roberto Rocca Ph.D. Fellowship. His research interests include performance analysis and design methodologies for multicore systems, the theoretical foundations of cyber-physical systems, the modeling and analysis of bio-inspired computing, and the applications of statistical physics to biological systems and regenerative medicine.

Kaliappa ("Ravi") Ravindran is a Professor of Computer Science in the Grove School of Engineering at the City University of New York, USA. Earlier, he had held faculty positions at the Kansas State University and at the Indian Institute of Science. He had also worked as a Control Systems engineer at the Indian Space Research Organization working on Satellite Attitude & Orbit Control Systems. He received Ph.D. in Computer Science from the University of British Columbia, Canada. His research interests are in the areas of service-level management of distributed networks and cloud systems, system-level support for information assurance, model-based software integration for embedded systems, distributed agent-based collaborative systems, and autonomous network software verification. His recent project relationships with industries include AT&T, Philips, CISCO, Siemens, and General Motors. Besides industries, some of his research has been supported by grants and contracts from US federal government agencies such as the Air Force Research Laboratory, Naval Research Laboratory, and Space Missile & Defense Command.

Gautam Biswas is a Professor of Computer Science, Computer Engineering, and Engineering Management in the EECS Department and a Senior Research Scientist at the Institute for Software Integrated Systems (ISIS) at Vanderbilt University. He has an undergraduate degree in Electrical Engineering from the Indian Institute of Technology (IIT) in Mumbai, India, and M.S. and Ph.D. degrees in Computer Science from Michigan State University in E. Lansing, MI. Prof. Biswas conducts research in Intelligent Systems with primary interests in hybrid modeling, simulation, and analysis of complex embedded systems, and their applications to diagnosis, prognosis, and fault-adaptive control. As part of this work, he has worked on fault-adaptive control of fuel transfer systems for aircraft, and Advanced Life Support systems for NASA. He has also initiated new projects in health management of complex systems, which includes online algorithms for distributed monitoring, diagnosis, and prognosis. More recently, he is working on data mining for diagnosis, and developing methods that combine model-based and data-driven approaches for diagnostic and prognostic reasoning. In other research projects, he is involved in developing simulation-based environments for learning and instruction. The most notable project in this area is the Teachable Agents project, where students learn science by building causal models of natural processes. He has also developed innovative educational data mining techniques for studying students’ learning behaviors and linking them to metacognitive strategies. His research has been supported by funding from NASA, NSF, DARPA, and the US Department of Education. His industrial collaborators include Airbus, Honeywell Technical Center, and Boeing Research and Development. He has published extensively, and has over 300 refereed publications. Dr. Biswas is an associate editor of the IEEE Transactions on Systems, Man, and Cybernetics, Prognostics and Health Management, and Educational Technology and Society journal. He has served on the Program Committee of a number of conferences, and most recently was Program co-chair for the 18th International Workshop on Principles of Diagnosis and Program co-chair for the 15th International Conference on Artificial Intelligence in Education. He is currently serving on the Executive committee of the Asia Pacific Society for Computers in Education and is the IEEE Computer Society representative to the Transactions on Learning Technologies steering committee. He is also serving as the Secretary/Treasurer for ACM Sigart. He is a senior member of the IEEE Computer Society, ACM, AAAI, and the Sigma Xi Research Society.

Viswanath Gunturi is pursuing his PhD at the Department of Computer Science and Engineering at the University of Minnesota. He is interested in developing algorithms for any kind of problem, which has societal importance. He works with the Spatial Database group in the Computer Science Department.

Yu Wang is an Associate Professor of computer science at the University of North Carolina at Charlotte. He received his Ph.D. degree in computer science from Illinois Institute of Technology in 2004, his B.Eng. degree and M.Eng. degree in computer science from Tsinghua University, China, in 1998 and 2000. His research interest includes wireless networks, mobile social networks, delay tolerant networks, sensor networks, complex networks, and algorithm design. His research has been continuously supported by federal agencies including NSF and NSFC. He has published over 140 refereed papers. He has served as general chair, program chair, program committee member, etc. for many international conferences (such as IEEE IPCCC, IEEE INFOCOM, ACM MobiHoc, IEEE GLOBECOM, IEEE ICC, IEEE MASS, etc.). He has served as Editorial Board Member of several international journals, including IEEE Transactions on Parallel and Distributed Systems, International Journal of Ad Hoc and Ubiquitous Computing, and International Journal of Distributed Sensor Networks. He is a recipient of Ralph E. Powe Junior Faculty Enhancement Awards from Oak Ridge Associated Universities in 2006 and a recipient of Outstanding Faculty Research Award from College of Computing and Informatics at UNC Charlotte in 2008. He won Best Paper Awards from multiple conferences, such as IEEE HICSS-35, IEEE MASS 2013, and IEEE IPCCC 2013. He is a senior member of the ACM and IEEE.

Manisa Pipattanasomporn joined Virginia Tech’s Department of Electrical and Computer Engineering as an assistant professor in 2006. She serves as one of the principal investigators (PIs) of multiple research grants from the U.S. National Science Foundation, the U.S. Department of Defense and the U.S. Department of Energy, on research topics related to smart grid, microgrid, energy efficiency, load control, renewable energy and electric vehicles. Her research interests include renewable energy systems, energy efficiency, distributed energy resources, and the smart grid.

Sukumar Kamalasadan. He joined the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte (UNCC) as an Associate Professor in August 2010. Prior to joining UNCC, Dr. Kamalasadan was an Assistant Professor (2004-2009) and an Associate Professor (2009-2010) at the University of West Florida (UWF). Dr. Kamalasadan has held industrial positions for six years and has teaching and research experience for over ten years. In the industry, he worked as a design and development engineer and executing projects for captive power plants/utilities. His research interests are Intelligent and Autonomous Control, Distributed Energy Resources, Renewable Energy, Power Systems dynamics, Stability, Optimization and Control, Smart Grid and Micro Grids. He has published over 60 research articles (including a monograph, book chapters, refereed journals and conference papers) in his field and has been technical reviewer for various journals (including IEEE transactions) and IEEE international conferences. He has also been session(s) chair for conferences and adhoc reviewer for grants and proposals. Dr. Kamalasadan is a program committee member for Florida Energy System Consortium (FESC) summit, 2010. Dr. Kamalasadan has won several awards and scholarships including the prestigious NSF FACULTY EARLY CAREER AWARD. He is listed in Marquis Who’s who in the world, Who’s who in America and Who’s who in science and engineering. In the past, he was a recipient of Outstanding Teaching Awards (2001- 2002 and 2002-2003, University of Toledo), travel awards (2004-05, 2005-06 & 2006-07, UWF) and Faculty Small Grant Award (Summer 2009, 2008, 2005, UWF). He is a member of IEEE Power and Energy Society, IEEE Control Systems Society, IEEE Industrial Electronics Society, IEEE Computational Intelligence Society, IEEE PowerElectronics Society and IEEE Industrial Applications Society.

 Ashutosh Nayak is a first year PhD student under Prof. Seokcheon Lee in Industrial Engineering at Purdue University. He joined Purdue University in Fall 2014. He completed his Bachelors and Masters from IIT Kharagpur under the supervision of Prof Manoj Kumar Tiwari. He is currently working in the field of Smart Manufacturing Systems. He has co-authored research articles published in IEEE systems, IJPR and CIE. He research interest also includes scheduling, evolutionary algorithms, production systems and complex networks.

Keshab Parhi has been with the Department of Electrical & Computer Engineering at the University of Minnesota, Minneapolis, since 1988, where he was an Assistant Professor from Oct. 1988-June 1992, Associate Professor from July 1992-June 1995, and has been a Professor since July 1995. Since 2000, He has held the permanent title of "Distinguished McKnight University Professor" awarded by the Graduate School of the University. Since 1997, he has held the title of "Edgar F. Johnson Professor" awarded by the College of Science and Engineering. From July 2008 till August 2011, he served as the Director of Graduate Studies of the Electrical Engineering program. He has held short term positions in several industries such as IBM T.J. Watson Research Center (Yorktown Heights, NY), AT&T Bell Laboratories (Holmdel, NJ), NEC Corporation (Miyamae-Ku, Kawasaki, Japan), where he was a National Science Foundation Japan Fellow, Broadcom Corp., Irvine, CA, and Medtronic Corp., Minneapolis, MN. He has been a visiting Professor at Delft University (The Netherlands) and Lund University (Sweden). His research addresses VLSI architecture design and implementation of signal processing, communications and biomedical systems, error control coders and cryptography architectures, high-speed transceivers, stochastic computing, secure computing, and molecular/DNA computing. He is also working on intelligent classification of biomedical signals and images, for applications such as seizure prediction and detection, schizophrenia classification, biomarkers for mental disorders, brain connectivity, and screening of fundus and optical coherence tomography (OCT) images for ophthalmic abnormalities. He has published over 550 papers, has authored the text book VLSI Digital Signal Processing Systems: Design and Implementation ( Wiley, 1999), and is the co-editor (with Takao Nishitani) of the reference book "Digital Signal Processing for Multimedia Systems" (CRC Press, March 1999). Dr. Parhi is the recipient of numerous awards including the 2013 Distinguished Alumnus Award from IIT, Kharagpur, India, 2013 Graduate/Professional Teaching Award from the University of Minnesota, 2012 Charles A. Desoer Technical Achievement award from the IEEE Circuits and Systems Society, the 2004 F. E. Terman award from the American Society of Engineering Education, the 2003 IEEE Kiyo Tomiyasu Technical Field Award, the 2001 IEEE W. R. G. Baker prize paper award, and a Golden Jubilee medal from the IEEE Circuits and Systems Society in 2000. He has served on the editorial boards of the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS and currently serves on the Editorial Board of the Springer Journal of Signal Processing Systems (JSPS). He has served on technical program committees of IEEE Conferences. He is a Fellow of IEEE (1996).

Xiaolin (Andy) Li is an associate professor and area chair of Computer Engineering Division in Department of Electrical and Computer Engineering at University of Florida (UF). His research interests include Parallel and Distributed Systems (PDS), Cyber-Physical Systems (CPS), and Network Security & Privacy (S&P). He has published over 80 refereed papers in journals and conference proceedings, 4 books, and 4 patents. His team has created many software systems for clouds, big data, HPC, SDN, CPS, mobile social networks, indoor localization and LBS, sensor networks, trust, privacy, and graphical passwords. He is directing the Scalable Software Systems Laboratory (S3Lab). His research has been sponsored by National Science Foundation (NSF), Department of Homeland Security (DHS), and others. He was a faculty member in the Computer Science Department at Oklahoma State     at Nokia Research Center Beijing (NRC), a visiting scholar at University of Texas at Austin (UT), an Extreme Blue intern at IBM, a graduate research assistant at Rutgers University (RU), a research staff at Institute for Infocomm Research (I2R), and a research scholar at National University of Singapore (NUS). He received a PhD degree in Computer Engineering from Rutgers University under the direction of Manish Parashar. He is a recipient of the prestigious National Science Foundation CAREER Award in 2010, the Internet2 Innovative Application Award in 2013, and best paper awards (ACM CAC 2013 and IEEE UbiSafe 2007).

 Bharat Joshi is an Associate Professor of Electrical and Computer Engineering at UNC Charlotte. He is also the graduate program director of the department. Dr. Joshi’s current research interests are in the areas of fault-tolerance, dependability, high performance embedded computing, computer architecture, performance evaluation, and algorithms. Prior to joining UNC Charlotte he was a senior scientist and then the manager of the Intelligent Processing Group at ITN Energy Systems, Colorado. During his tenure at ITN he was involved in the design of fault-tolerant sensor networks and controllers for thin-film manufacturing processes. Before that, he was an assistant professor of computer science at the Western Carolina University, North Carolina.

Rahul Mangharam is an Associate Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He also holds a secondary appointment in the Department of Computer and Information Sciences and is a founding member of the PRECISE Center. He directs the mLAB- Real-Time and Embedded Systems Lab at Penn. His interests are in real-time scheduling algorithms for networked embedded systems with applications in energy-efficient buildings, automotive systems, medical devices and industrial wireless control networks. His group has won several awards in IPSN 2012, RTAS 2102, World Embedded Programming Competition 2010, Honeywell Industrial Wireless Award 2011, Google Zeitgeist Award 2011, Intel Innovators Award 2012, Intel Early Faculty Career Award 2012, NAE US Frontiers of Engineering 2012, Cornell Embedded Systems Cup 2012, Accenture Innovation Jockeys 2012 and NSF CAREER Award 2013. He received his Ph.D. in Electrical & Computer Engineering from Carnegie Mellon University where he also received his MS and BS. In 2002, he was a member of technical staff in the Ultra-Wide Band Wireless Group at Intel Labs. He was an international scholar in the Wireless Systems Group at IMEC, Belgium in 2003. He has worked on ASIC chip design at FORE Systems (1999) and Gigabit Ethernet at Apple Computer Inc. (2000). He was the Stephen J. Angelo Term Chair Assistant Professor at the University of Pennsylvania from 2008-2013.