Pamela Abshire is an Associate Professor in the Department of Electrical and Computer Engineering and the Institute for Systems Research at the University of Maryland, College Park. Her areas of specialty are in the fields of VLSI circuit design and bioengineering. Dr. Abshire's research focuses on better understanding the tradeoffs between performance and resources in natural and engineered systems. She directs the Integrated Biomorphic Information Systems Laboratory. Prior to her arrival at the University of Maryland in November, 2001, she was a graduate student in the Sensory Communications and Microsystems Lab in the Department of Electrical and Computer Engineering at The Johns Hopkins University. Her advisor was Andreas G. Andreou, and her dissertation topic was Sensory Information Processing Under Physical Constraints. Her research interests include information theory for physical systems, noise theory for electronic, photonic, and biological systems, analysis and design of sensory information processing systems, and algorithm, VLSI circuit, and microsystem design, especially for low power applications. r. Abshire was born in Fayetteville, North Carolina, and grew up in the Roanoke Valley in southwestern Virginia. She graduated as valedictorian of the class of 1988 from Salem High School in Salem, VA. From 1985 to 1988 she also attended the Roanoke Valley Governor's School for Science and Technology in Roanoke, VA. She received her B.S. degree in Physics with Honor in 1992 from the California Institute of Technology in Pasadena, CA. Between 1992 and 1995 she worked as a Research Engineer in the Bradycardia Research Department of Medtronic, Inc. in Minneapolis, MN. In 1995 she began her graduate education in the Department of Electrical and Computer Engineering at The Johns Hopkins University. She received her M.S. degree in Electrical and Computer Engineering in 1997 and completed her Ph.D. degree in Electrical and Computer Engineering in October 2001.
Institute for Systems Research
Department of Electrical and Computer Engineering
2211 A.V. Williams Bldg., University of Maryland, College Park, MD 20742
Biotechnology; channel capacity and efficiency of blowfly photoreceptors; channel capacity and efficiency of silicon photoreceptors; fundamental limits on switching energy of the CMOS inverter, silicon-on-sapphire (SOS) photodetectors.
Ant-Like Micro-Robots: Fast, Small, and Under Control
Single-Chip Bio-inspired Motion Sensors for Autonomous Navigation