Title of the Talk 

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From Wireless Networking to Smart Computing: Challenges and Solutions

Speaker 

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Sajal K. Das, Program Director, National Science Foundation

Director, Center for Research in Wireless Mobility and Networking (CReWMaN)

Department of Computer Science and Engineering

The University of Texas at Arlington

Sajal K. Das, Program Director, National Science Foundation Director, Center for Research in Wireless Mobility and Networking (CReWMaN) Department of Computer Science and Engineering The University of Texas at Arlington Sajal K. Das received his B.Tech. degree from Calcutta University, M.E. degree from IISc Bangalore, and Ph.D. degree from University of Central Florida, Orlando, all in computer science. Currently he is a University Distinguished Scholar Professor of Computer Science and Engineering and the Founding Director of the Center for Research in Wireless Mobility and Networking (CReWMaN) at the University of Texas at Arlington (UTA), as well as a Program Director in Computer Networks and Systems division at the US National Science Foundation. Dr. Das is also a Visiting Professor at the Indian Institute of Technology (IIT) at Kanpur and IIT Guwahati; Honorary Professor of Fudan University in Shanghai and International Advisory Professor of Beijing Jiaotong University, China; and a Visiting Scientist at the Institute of Infocomm Research (I2R), Singapore. His current research interests include wireless sensor networks, mobile and pervasive computing, smart environments with applications to pervasive security and health care, mobile grid computing, and biological networking. Dr. Das has published over 400 technical papers and over 35 invited book chapters in these areas. He holds five US patents and coauthored the books "Smart Environments: Technology, Protocols, and Applications" (Wiley, 2005) and "Mobile Agents in Distributed Computing and Networking (Wiley, 2009). He is a recipient of several Best Paper Awards in such conferences as EWSN'08, IEEE PerCom'06, and ACM MobiCom'99. He is also a recipient of the IEEE Computer Society Technical Achievement Award (2009), Lockheed Martin Award for Teaching Excellence (2009), IEEE Region 5 Outstanding Engineering Educator Award (2009),IEEE Engineer of the Year Award (2007), UTA Academy of Distinguished Scholars Award (2006), University Award for Distinguished Record of Research (2005), College of Engineering Research Excellence Award (2003), and Outstanding Faculty Research Award in Computer Science (2001 and 2003). He is frequently invited as a keynote speaker at international conferences and symposia. Dr. Das serves as the Founding Editor-in-Chief of Pervasive and Mobile Computing (PMC) journal, and Associate Editor of IEEE Transactions on Mobile Computing, ACM/Springer Wireless Networks, IEEE Transactions on Parallel and Distributed Systems, and Journal on Peer-to-Peer Networking. He is the founder of IEEE WoWMoM and co-founder of IEEE PerCom conferences. He has served as General Chair, Technical Program Chair as well as TPC member of numerous IEEE and ACM conferences.

Abstract

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The last decade has seen tremendous advancements in computer science and engineering such as wireless networks, mobile and pervasive computing, information mining, ambient intelligence, human-centered computing, middleware, and so on. These technologies have made the world closer and our life experience better than ever as we live in an increasingly connected and automated society that links devices, computing and communication platforms to everyday tasks and settings. As a result, recently there has been an upsurge of multi-disciplinary research projects on the design and development of smart environments. We define a "smart environment" as one that is able to autonomously acquire and apply knowledge about a sensor-driven environment, and adapt to user preferences to improve their experience without explicit awareness. In this talk, we will first give a brief overview of emerging research directions in wireless mobile, sensor and pervasive networks, and then discuss fundamental challenges and issues in design and modeling of smart environments. We will also present novel frameworks and algorithmic solutions for tracking user contexts (e.g., activity, location) as captured by sensors while users interact with the environment on a daily basis, thus leading to intelligence automation, autonomic and context-aware computing. The underlying approach will be based on information theory, text compression, on-line learning, uncertainty reasoning, and game theory. The proposed models will be validated with the help of an agent based architecture

and tools that we developed. A video demo will also be shown. The talk will be concluded with open research problems and future directions in this field.

http://www.cse.uta.edu/~das