Armand M. Makowski


Armand M. Makowski

Department of Electrical and Computer Engineering
University of Maryland at College Park

email: armand at umd dot edu
office: 2357 A.V. Williams Bldg.
phone: 301.405.6844
fax: 301.314.9920


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 University of Maryland at College Park, where he is presently a Professor of Electrical and Computer Engineering.

Since its establishment in 1985, he has held a joint appointment with the Institute for Systems Research until 2029; he was its Associate Director for Research during 1995--1996. 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.

He has held visiting positions at the Technion (Haifa, Israel), INRIA (France), IBM T.J. Watson Research Center (Hawthorne, NY), AT&T Bell Laboratories (Murray Hill, NJ), AT&T Research Labs (Florham Park, NJ), the Institut Mittag-Leffler (The Royal Swedish Academy of Sciences), the Basque Center for Applied Mathematics (Bilbao, Spain) and the Hebrew University of Jerusalem (Jerusalem, Israel).

Arman 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. He became an IEEE Fellow in 2006, and was a Lady Davis Trust Fellow in 2014-2015.

Research Interests

  • Traffic characterization and modeling in communication networks (e.g., TCP modeling and web caching)

  • Resource allocation issues in wireless networks

  • Queueing systems and asymptotic methods for performance evaluation in communication networks

  • Stochastic systems and adpative algorithms (e.g., swarm intelligence)

  • Random graph modelling with applications to wireless networks, random key predistribution and social networks