Professor, Electrical and Computer Engineering
Brian L. Mark’s main research interests lie in the design, modeling and performance evaluation of communication networks and computer systems. He became a faculty member in the Department of Electrical and Computer Engineering at George Mason University in 2000. Prior to joining Mason, he was a Research Staff Member at NEC Labs in Princeton, New Jersey and spent a year as a visiting researcher at Télécom Paristech in Paris, France. His recent work has focused on protocols and algorithms for dynamic spectrum sharing in future wireless networks and statistical inference methods for evaluating network performance. Within the ECE department, he teaches in the areas of communications and signal processing at both the undergraduate and graduate levels, most recently instructing courses on computer networks, wireless communications, and software radio. He is coauthor of two books: System Modeling and Analysis: Foundations of System Performance Evaluation (Pearson Education, 2009) and Probability, Random Processes, and Statistical Analysis (Cambridge University Press, 2012). He received a National Science Foundation Early Faculty CAREER award in 2002 and the Outstanding Research Faculty award in the Volgenau School of Engineering in 2011. He is a Member of the IFIP 7.3 Working Group on Computer System Modeling and a Senior Member of IEEE. He was an associate editor of IEEE Transactions on Vehicular Technology from 2006-2009. He was general co-chair of the International Workshop on Smart Spectrum in 2015 and 2016. Currently, he is serving as acting chair of the Department of Bioengineering.
PhD, Electrical Engineering, Princeton University (1995)
BASc, Computer Engineering, University of Waterloo (1991)
Faculty Rank: Professor
2014 - 2017 : NeTS: Small: Spectrum Sensing and Resource Allocation for Cognitive Radio Networks. Funded by National Science Foundation.
2012 - 2016 : II-NEW: An Experimental Infrastructures for Cross-domain Research in Wireless Computing, Cybersecurity and Data Mining. Funded by National Science Foundation.
2009 - 2013 : CIF:Small:Recursive Estimation of Randomly Modulated Processes. Funded by National Science Foundation.
Applied Probability, Computer and Network Security, Computer Networks, Statistical Signal Processing, Communications
Published on May 1, 2014