Big Data Analytics in CPS: Enabling the move from IoT to real time control

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Visible to the public Software Systems for Smart Worlds- An Evolution for IoT to CPS

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.

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Visible to the public Scalable and Energy-Efficient Cloud-Sensor Architecture for CPS

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).

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Visible to the public Internet of Things Enables a Cyber-Physical Systems Approach to Lighting

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.

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Visible to the public Simple Features and Simple Classifiers for Cyber-physical Systems: Applications to Seizure Detection and Prediction

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.

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Visible to the public Model-based Clinical Trials for Implantable Cardiac Devices

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.

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Visible to the public Multicore Platforms for Real-Time Analytics in Closed-Loop Cyber-Physical Systems- Design Challenges and Opportunities.pdf

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.

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Visible to the public Towards Next Generation Engine Control- A Spatial Big Data Approach

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.

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Visible to the public Mobile Big Data Meets Cyber-Physical System- Mobile Crowdsensing based Cyber-Physical System for Smart Urban Traffic Control

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.