Smart Living: The Next Frontier

Guest Speaker:
Sajal K. Das — Department of Computer Science, Missouri University of Science and Technology

Wednesday, October 18, 2017
EEB
Time TBD

ABSTRACT: We live in an era in which our physical and personal environments are becoming increasingly intertwined and smarter due to the advent of pervasive sensing, wireless communications, computing, and actuation technologies. Indeed our daily living in smart cities and connected communities depend on a wide variety of smart service systems and cyber-physical infrastructures, such as smart energy, transportation, healthcare, supply-chain, and so on. Alongside, the availability of low-cost wireless sensor networks, Internet of Things (IoTs), and rich mobile devices (e.g., smartphones) are also empowering humans with fine-grained information and opinion collection through crowdsensing about events of interest, thus resulting in actionable inferences and decisions. This synergy has led to the cyber-physical- social (CPS) convergence with human in the loop that exhibits complex interactions, inter-dependencies and adaptations between engineered/natural systems and human users with a goal to improve quality of life experience what we call smart living. However, the main challenges are posed by the scale, heterogeneity, big data, and resource limitations (e.g., energy or battery power) in multi-modal context recognition and situation awareness in sensors, IoTs and CPS networks. This talk will highlight unique research issues and challenges in smart living and CPS systems, followed by novel solutions based on solid theory. Case studies and
experimental results will be presented for energy efficient homes and smart healthcare applications. The talk will be concluded with directions for future research.

BIO: Dr. Sajal K. Das is a professor of Computer Science and Daniel St. Clair Endowed Chair at Missouri University of Science and Technology, Rolla. During 2008-2011, he served the NSF as a Program Director in the Computer and Network Systems Division. Prior to 2013, he was a University Distinguished Scholar Professor of Computer Science and Engineering, and founding director of Center for Research in Wireless Mobility and Networking (CReWMaN) at the University of Texas at Arlington. His research interests include wireless and sensor networks, mobile and pervasive computing, cyber-physical systems and smart environments including smart grid and smart healthcare, distributed and cloud computing, security and privacy, big data and IoT, biological and social networks, and applied graph theory and game theory. He has published over 600 research articles in these areas, 52 book chapters, and 5 US patents. He coauthored four books – “Smart Environments: Technology, Protocols, and Applications” (John Wiley, 2005); “Handbook on Securing Cyber-Physical Critical Infrastructure: Foundations and Challenges” (Morgan Kaufman, 2012); “Mobile Agents in Distributed Computing and Networking” (Wiley, 2012); and “Principles of Cyber-Physical Systems: An Interdisciplinary Approach” (Cambridge University Press, 2017). His h-index is 75 with more than 23,500 citations according to Google Scholar. Dr. Das is a recipient of 10 Best Paper Awards in prestigious conferences, such as ACM MobiCom and IEEE PerCom, and numerous awards for research, teaching, mentoring and professional services, including IEEE Computer Society’s Technical Achievement Award for pioneering contributions to sensor networks and mobile computing. He is the founding Editor-in- Chief of Elsevier’s Pervasive and Mobile Computing journal since 2004, and serves as Associate Editor of several journals including IEEE Transactions on Mobile Computing, ACM Transactions on Sensor Networks, and Journal of Parallel and Distributed Computing. A founder of IEEE PerCom, IEEE WoWMoM, IEEE SMARTCOMP, and ICDCN conferences, he has served on numerous ACM and IEEE conference committees as General Chair, Technical Program Chair, or Program Committee member. Dr. Das is an IEEE Fellow for pioneering contributions to parallel, distributed and mobile computing.

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