Panel Discussion

Topic

Context Aware Computing in Healthcare

Organizer

Mary Murphy-Hoye is currently a Senior Principal Engineer at Intel Corporation.
An innovator in Information Technology and Supply Chain solutions, Ms Murphy-Hoye integrates emerging technologies to create and implement large-scale experiments in high volume production environments. She is a pioneer in multi-disciplinary solutions connecting emerging technologies and business practices for cross-enterprise supply networks. Ms Murphy-Hoye�s most recent focus has been the creation of Intel�s RFID /Wireless Sensor Networks Lab for industry-scale proactive computing experimentation across businesses.
Ms Murphy-Hoye is a supply chain and information technology solution development expert as well as a trusted advisor across numerous industries end-to-end Retail, High Tech, Oil & Gas, Chemical, Aerospace and Automotive Manufacturing, Transportation, including ocean-bound cargo containers and railcars, and Logistics.
As Director of IT Research, Ms Murphy-Hoye formed Intel�s IT Research Agenda and specialized in research of disruptive technologies as applied to emerging business models. Her academic collaborations as co-Principal Investigator with the MIT Media Lab and Sloan School of Business as well as the Stanford Graduate School of Business drove multi-year R&D efforts in: Supply Chain Visualization, Internal Markets for Trade-based Supply/Demand Planning, Demand Creation through Product Transition Dynamics, and Smart Objects for Intelligent Supply Networks. She is currently collaborating with Arizona State University Computer Science & Engineering IMPACT Lab, building self-contained wireless sensor networks tuned for reliability and robustness and investigating multi-modal (audio & visual) techniques for complex large-scale predictive analytics. She holds a Bachelor of Science degree in Mathematics from the University of Arizona.

Participants

Professor Daniel P. Siewiorek is the Buhl University Professor of Electrical and Computer Engineering and Computer Science at Carnegie Mellon University. He has designed or been involved with the design of nine multiprocessor systems and has been a key contributor to the dependability design of over two dozen commercial computing systems. Dr. Siewiorek leads an interdisciplinary team that has designed and constructed over 20 generations of mobile computing systems. Dr. Siewiorek has written eight textbooks in the areas of parallel processing, computer architecture, reliable computing, and design automation in addition to over 475 papers Dr. Siewiorek has served as Associate Editor of the Computer System Department of the Communications of the Association for Computing Machinery, as Chairman of the IEEE Technical Committee on Fault-Tolerant Computing and as founding Chairman of the IEEE Technical Committee on Wearable Information Systems. Currently Director of the Human Computer Interaction Institute, he was previously Director of the Engineering Design Research Center and co-founder of it's successor organization, the Institute for Complex Engineered Systems, where he served as Associate Director. He has been the recipient of the American Association of Engineering Education Frederick Emmons Terman Award, the IEEE/ACM Eckert-Mauchly Award, and the ACM SIGMOBILE Outstanding Contributions Award. He is a Fellow of IEEE, ACM, and AAAS and is a member of the National Academy of Engineering.
Professor Siewiorek received the B.S. degree in Electrical Engineering from the University of Michigan, Ann Arbor, in 1968, and the M.S. and Ph.D. degrees in Electrical Engineering (minor in Computer Science) from Stanford University, in 1969 and 1972, respectively.

Dr. Pat Langley serves as Professor of Computing and Informatics at Arizona State University and Director of the Institute for the Study of Learning and Expertise. He has contributed to artificial intelligence and cognitive science for 30 years, having published 200 papers and five books on these topics. Professor Langley is a co-founder of the field of machine learning, where he championed both experimental studies of learning algorithms and their application to real-world problems before either were widespread. He developed some of the earliest computational approaches to scientific knowledge discovery, and his work on adaptive user interfaces introduced unobtrusive ways to collect user data to support personalized services. Dr. Langley was founding Executive Editor of the journal Machine Learning, and he is a Fellow of both AAAI and the Cognitive Science Society. His current research focuses on constructing explanatory models in scientific domains and on computational accounts of complex human cognition.

Atul Hatalkar is a senior staff software engineer in Intel's Software Pathfinding & Innovation Division, where he is the Chief Architect of the Context Aware Computing Platform. Atul's technical interests include context-aware user interfaces, media processing infrastructures, embedded operating systems, and object-oriented system designs. Atul completed BSEE and Post Graduate Diploma in CS from the University of Pune and the National Center for Software Technology respectively, both in India. He did additional graduate work at the Columbia University in New York. Atul holds three patents and says that he loves to live on the bleeding edge of technological innovations.

Celeste Null is currently Director of Biomedical Engineering in the Digital Health Group at Intel Corporation and recognized as a Principal Engineer in Intel�s Technical Leadership Program. Celeste has extensive engineering experience in quality, reliability, statistics, and the biomedical field. She was a key developer of Intel�s initial biotechnology strategies, product qualification and product life cycle programs.
She has chaired the national liaison Solid State Technology Division of JEDEC (JC-13), and is a Senior Member of the American Society of Quality, a Certified Quality Auditor, an ISO 9001:2000 RAB national certified auditor, and a certified Baldrige Award examiner for California and Arizona. At Arizona State University, she has served on the Advisory Board for the Biodesign Institute, the Bioengineering Advisory Committee, and the College of Nursing�s Healthcare Innovation and Clinical Trials Board. She currently is on the editorial board for the Journal of Biomedical Microdevices, the Scientific Advisory Board for the World Nanotechnology Conference and served as chair of the 2005 International Global Digital Healthcare conference. She serves on the Board of Directors for the Arizona Governor�s Commission on Health, and represents Intel on the iNEMI TIG for Medical Device Components. Celeste also serves as a board member for ASU�s WinTECH, MacroTechnology Works� Healthcare Innovation Program, and the International Essential Tremor Foundation.
Prior to coming to Intel in 1995, Celeste was with Medtronic Corporation, Fairchild Semiconductor Corporation, and Texas Instruments. Celeste has a B.S. in Microbiology and Chemistry from Texas Tech University, a Masters in Bioengineering (minor in Statistics) from Arizona State University, and is currently completing her doctoral work in Bioengineering at ASU in bioelectricity and neuroscience.