Armand Makowski Professor, Electrical and Computer Engineering Professor, Institute for Systems Research University of Maryland Institute for Systems Research 2357 A.V. Williams Building College Park, MD 20742 Phone: (301) 405-6844 Fax: (301) 314-8586 E-mail: armand@isr.umd.edu Home Page: http://www.isr.umd.edu/People/faculty/Makowski.html

Armand M. Makowski received the Licence en Sciences Mathematiques from the Universite Libre de Bruxelles in 1975, the M.S. degree in Engineering-Systems Science from U.C.L.A. in 1976 and the Ph.D. degree in Applied Mathematics from the University of Kentucky in 1981. In August 1981, he joined the faculty of the Electrical Engineering Department at the University of Maryland, College Park, where he is presently a Full Professor. He has been affiliated with the Institute for Systems Research, one of the NSF Engineering Research Centers, since its establishment in 1985; he is currently the Associate Director for Research. He is also a co-founder of and active participant in the Center for Satellite and Hybrid Communication Networks, a NASA center for the development and commercialization of space. Over the past few years, he has held visiting positions at the Technion (Israel), INRIA (France), the IBM T.J. Watson Research Center (Hawthorne) and AT&T Bell Laboratories (Murray Hill). Armand Makowski was a C.R.B. Graduate Fellow of the Belgian-American Educational Foundation for the academic year 1975-76; he is also a 1984 recipient of the NSF Presidential Young Investigator Award.

RESEARCH INTERESTS:

• Asymptotic methods for the performance evaluation of switching systems
• Issues of traffic characterization and modelling in ATM networks
• Resource allocation issues in wireless networks
• Applications of the theory of stochastic processes to the modeling
• Optimal design and performance evaluation of discrete-event dynamical systems
• adaptive control and performance evaluation
• communication networks
• queueing systems
• stochastic systems

Dr. Makowski's research interests broadly lie in applying advanced methods from the theory of stochastic processes to the modeling and design of a variety of engineering systems. Particular emphasis has been given to issues of performance modeling and analysis, and to problems of dynamic stochastic optimization as they arise in hybrid terrestrial and satellite networking applications.

Recent research interests include the use of asymptotic methods for the performance evaluation of switching systems, long-range dependence modeling for multimedia applications in high-speed networks, and stochastic control formulation of resource allocation issues in wireless networks (e.g., handoffs and paging). He is also currently involved in several industry-sponsored projects dealing with ATM technology.

PUBLICATIONS

Recent CSHCN Technical Reports