- 703-993-5430 (office)
Nguyen Engineering Building, 3223
4400 University Drive, MS 1G5
Fairfax, VA 22030
Houman Homayoun is the director of Mason’s Green Computing and Heterogeneous Architectures (GOAL) Laboratory. Prior to joining George Mason University, Homayoun spent two years at the University of California, San Diego, as National Science Foundation Computing Innovation Fellow from the Computing Research Association and the Computing Community Consortium.
Prior to his academic appointment, Homayoun worked as a design architect on the development of industrial hardware systems and electric design automation tools. His research is in big data computing, heterogeneous computing, computer architecture, embedded system design, memory design, DRAM Design, Green and Low Power Computing, and spans the areas of computer design and embedded systems.
He has published more than 60 technical papers in prestigious conferences and journals on the subjects. He is currently leading research projects including the design of next generation heterogeneous multicores for big data processing, low power hybrid SRAM-NVM memory hierarchy design, non-volatile STT logic, heterogeneous accelerator platforms for wearable biomedical computing, and logical vanishable design to enhance hardware security. Funding for Houmayoun’s research projects is provided by the National Science Foundation, General Motors Company, and Defense Advanced Research Projects Agency (DARPA). Homayoun was a recipient of the four-year University of California, Irvine Computer Science Department chair fellowship.
PhD, Computer Science, University of California, Irvine (2010)
MS, Electrical and Computer Engineering Department, University of Victoria (2005)
BS, Electrical and Computer Engineering, Sharif University of Technology (2003)
Faculty Rank: Associate Professor
2014 - 2018 : CPS: Synergy: A Novel Biomechatronic Interface Based on Wearable Dynamic Imaging Sensors. Funded by National Science Foundation.
2013 - 2015 : Cybersecurity Penetration Testing Research. Funded by General Motors LLC.
Big Data, Machine Learning, Computer Networks and Architectures, Computer Vision, Computer Systems, Parallel and Distributed Systems, Green Computing, VLSI and Embedded Systems, Big Data Computing, Hardware Security and Trust, Heterogeneous Architecture Design and Management, Emerging Memory Technologie