CE Program Faculty Candidate – UCLA
DATE: Friday, Mar 14th
TIME: 9:00 AM
PLACE: Engineering Science Building 2001
The groundswell of wellness healthcare programs and patient management emphasize more involvement by patients themselves. This paradigm largely requires that patient information be readily available at the point of care. A great leap in the quality of medical care is within technological research if we can take advantage of new developments in sensor and computing technologies, wireless networking/communication, and biomedical informatics. Never before have there been tools available that bring the promise of reliable, convenient and continuous monitoring outside of the conventional clinical environment and potential for more individually tailored healthcare. Lightweight embedded systems are now gaining more popularity specially in medical systems due to the recent technological advances in fabrication that have resulted in more powerful tiny processors with greater communication capabilities that pose various scientific challenges for researchers. Reliability and lifetime of medical systems has been among the most important objectives in this field. While there has been years of research on these topics in computer and electrical engineering fields, lightweight embedded core of these devices pose new challenges.
In this talk I will present multiple medical system and application which we have developed and explore the research challenges in this area. Particularly, I will focus on the most significant challenges which are energy consumption and reliability of these mobile and battery-powered systems. I will illustrate why traditional reliability techniques fail in these systems and will present a general methodology for reliability-aware energy optimization for such systems with real-time constraints.
Foad Dabiri is a Ph.D. candidate in Computer Science Department at University of California Los Angeles. He joined Embedded and Reconfigurable Systems group at Computer Science department at UCLA in 2003 were he received his M.S. degree in 2005. Prior to joining UCLA, he received his B.S. degree in Electrical Engineering from Sharif University of Technology. His research area mainly includes wireless health, emphasizing on infrastructure design, applications and algorithm design for medical applications. Particularly, he is focusing on hybrid optimization algorithms (power and reliability) for medical embedded systems.