|Newsletter of the Department of Electrical Engineering|
Features | Message from the Chair | Department News | Staff News | Alumni News | Faculty News
|Yang, Zaki Receive Celebrating Teachers Award
Professors Chia-Hung Yang and Kawthar Zaki were both recipients of the Celebrating Teachers Award.
This award is an initiative of the Center for Teaching Excellence, in collaboration
with the Office of the Dean for Undergraduate Studies and the Office of School-University
Cooperative Programs. The award seeks to recognize the most influential teaching faculty
both on and off campus. Recipients of the Celebrating Teachers Awards were nominated by
outstanding graduating seniors.
Pictured: Prof. Jeffrey Hollingsworth
|New Affiliate Faculty Strengthen Computer Engineering Program
Prof. Jeffrey K. Hollingsworth, from the Department of Computer Science, was appointed affiliate assistant professor of the Department of Electrical Engineering. Hollingsworth, who joined Maryland in 1994, earned his Ph.D. degree in Computer Science from the University of Wisconsin-Madison.
Hollingsworths research has focused primarily on environments for parallel programming, including performance monitoring and debugging, operating systems, computer networks, and distributed systems. Two of his recent papers include Benchmarking a Network of PCs Running Parallel Applications, and LBF: A Performance Metric for Program Reorganization. His software distributions include dyninstAPI, a library for runtime instrumentation of programs, and Grindstone, a set of PVM programs designed to test parallel tools.
Pictured: Prof. Peter Keleher
|Prof. Peter J. Keleher, from the Department of
Computer Science, was appointed affiliate assistant professor of the Department of
Electrical Engineering. Keleher, who joined Maryland in 1994, earned his Ph.D. degree in
Computer Science from Rice.
Keleher's research interests lie primarily in the field of distributed computing. The two primary thrusts of his current work are in distributed shared memory (DSM) and in global resource management in large-scale systems. His DSM work is aimed at finding the limits to high performance of software DSMs, including communication analysis, assessing the impact of protocol choices, and identifying environmental conditions and application domains for which software DSM makes sense.