Keynote Speakers

Title

On Innovation, Quality of Life and Technology of BodyNets

Abstract

Technology innovation is the key to enhancing the quality of life for everyone in the continuum of life from newborns to senior citizens. Management innovation has been the fuel that has been sustaining the technology innovation engine. Thus, together, management innovation and technology innovation have the potential to rapidly transform information processing, especially in healthcare, by successfully addressing the key challenges of access, quality and cost of care. In this presentation, we will define the healthcare continuum and examine the roles of human as an information node and BodyNets as the enabling technology to bring about this transformation. We will discuss recent developments in the area of personalized sensor networks. Finally, we will identify the challenges and opportunities to realize the vision of pervasive and personalized mobile information processing for applications ranging from healthcare to entertainment.

Biography

Dr. Sundaresan Jayaraman is a Professor in the School of Polymer, Textile and Fiber Engineering with a joint appointment in the College of Management at the Georgia Institute of Technology in Atlanta, Georgia. He and his research students have made significant contributions in the following areas: (i) Enterprise Architecture and Modeling Methodologies for Information Systems; (ii) Design and Development of Knowledge Based Systems (KBS) for textiles and apparel; and (iii) Wearable Biomedical and Information Processing Devices. His group's research has led to the realization of the world's first Wearable Motherboard^TM, also known as the 'Smart Shirt' (www.smartshirt.gatech.edu). This invention was featured in a Special Issue of LIFE Magazine entitled Medical Miracles for the New Millennium (Fall 1998) as One of the 21 Breakthroughs that Could Change Your Life in the 21st Century. In July 2003, Newsweek Magazine featured it as one of the 10 Inventions That Will Change the World. The first Smart Shirt is currently housed at the Smithsonian Museum in Washington, DC.
Professor Jayaraman worked as a Product Manager at Software Arts, Inc., and at Lotus Development Corporation, Cambridge, MA, before joining Georgia Tech in fall 1985. During his graduate studies, he was involved in the design and development of TK!Solver, the first equation-solving program from Software Arts, Inc., Cambridge, MA. Professor Jayaraman is a recipient of the 1989 Presidential Young Investigator Award from the National Science Foundation. He has received over $6Million in research funding from a variety of sources including NSF, DARPA, US Air Force, Defense Logistics Agency, US Department of the Navy, NIST and industry. In October 2000, Professor Jayaraman received the Georgia Technology Research Leader Award from the State of Georgia. Professor Jayaraman has served on three Study Committees for the Institute of Medicine (IOM) and the National Research Council of the National Academies and is presently serving on an IOM Standing Committee on Personal Protective Equipment in the Workplace.

PDF

PDF of the Abstract can be found here

Title

Artificial Intelligence on the Body, in the Home, and Beyond

Abstract

Advances in the fields of pervasive computing and sensor networks have made the dreams of body area networks and smart environments reality. However, with these technological advances comes the proliferation of sensor data that these applications generate. Scientists must understand sensor data in order to harness these technologies for benefits such as health monitoring, security assurance, and personal assistance.
Artificial intelligence and machine learning algorithms can help make sense of sensor data and adapt these powerful technologies to specific users and tasks. In this talk we will examine AI and machine learning solutions that have been developed by the community and by our research group to tackle the challenges of characterizing, analyzing, classifying, and using sensor data. We will discuss how these solutions can employed for body area networks and will demonstrate our own application of these algorithms to smart environments and health monitoring.

Biography

Dr. Diane Cook is a Huie-Rogers Chair Professor in the School of Electrical Engineering and Computer Science at Washington State University. She received her B.S. from Wheaton College in 1985 and her M.S. and Ph.D. from the University of Illinois in 1987 and 1990, respectively. Her areas of interest include artificial intelligence, machine learning, parallel algorithms, and smart environments, and she has authored over 200 publications on these topics. While at the University of Texas at Arlington, Dr. Cook designed and implemented the MavHome smart home, one of the first fully-automated smart environments. Her research is supported by NSF, NIH, DARPA, NASA, USAF, NRL, and various industrial sponsors. She has edited three books on related topics including a book on Smart Environments published by Wiley in 2004. She is the recipient of an NSF Research Initiation Award and an NSF Career Award, was elected an IEEE Fellow, and has received numerous research and teaching awards. She serves as editor-in-chief of the IEEE Transactions on Systems, Man, and Cybernetics Part B, and is on the advisory and editorial boards for several international journals.

PDF

PDF of the Abstract can be found here