- 703-993-1537 (office)
Nguyen Engineering Building, 5307
4400 University Drive, MS 4A5
Fairfax, VA 22030
Daniel Menasce’s primary research interests include autonomic computing, e-commerce, performance modeling and analysis, and software performance engineering. Menasce was the principal investigator of the NSF-funded project: Self Architecting Software Systems (SASSY).
With his extensive background in computer metrics and analysis, Daniel Menasce has consulted for SABRE (travelocity.com), IBM, United Online (netzero.com), Lockheed Martin, the United States Mint, Peakstone Corporation, the Defense Information Systems Agency (DISA), the Ballistic Missile Defense Organization, the US Army, NASA, iXL, Capital One, TIS Labs at Network Associates, Hughes Applied Information Systems, the Center for Excellence in Space Data Information Systems, the National Institutes of Health, InterAmerican Development Bank, the United Arab Emirates University and Jones International University. He testified several times in federal and state court as an expert witness in litigations regarding intellectual property. Daniel Menasce was elevated to the rank of Fellow of the IEEE in 2014 for "contributions to research and education in performance evaluation of computer systems." In January 2012, George Mason University recognized Daniel Menasce as a University Professor – an award presented to “men and women of unusually great stature and eminence from the world of national and international achievement."
PhD, Computer Science, University of California, Los Angeles (1978)
Faculty Rank: University Professor
2012 - 2016 : Process Analytics Language (PAL) for Sustainable Manufacturing: Modeling, Analysis and Decision Optimization. Funded by National Institute of Standards and Technology.
2008 - 2012 : SASSY: Self-Architecting Software Systems. Funded by National Science Foundation.
2009 - 2011 : Sassy Supplement. Funded by National Science Foundation.
E-Commerce, Computer Systems, Parallel and Distributed Systems, Software Engineering, Autonomic Computing, Cloud Computing, Analytic Modeling of Computer Systems