Dr. Mohammed Olama has led and participated in several projects under various DOE, DOD, and DHS programs. He has been involved in various modeling, simulations, controls, and communications projects for improved critical infrastructure efficiency, reliability, and security including the smart grid and healthcare.  He received the B.S. and M.S. (Hons.) degrees in electrical engineering from the University of Jordan, Amman, Jordan, in 1998 and 2001, respectively, and the Ph.D. degree from the Electrical Engineering and Computer Science (EECS) Department, University of Tennessee, Knoxville, TN, USA, in 2007. From 1999 to 2001, he was a full-time Control Engineer with National Electric Power Company, Amman, Jordan. He is currently a Senior Research Scientist with the Computational Sciences and Engineering Division, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA. He is also an Adjunct Associate Professor with the EECS Department at the University of Tennessee, Knoxville, TN, USA. He has over 180 archival publications, including journals, conference proceedings, book chapters, and technical reports, in addition to numerous presentations at professional conferences and international symposia. His research interests include smart grid and smart buildings; smart grid communications and control; building-to-grid integration; cyber-physical systems; complex systems; wireless communications; 5G wireless networks, wireless sensor networks, wireless security, big data integration and analytics, healthcare data analytics; machine learning; artificial intelligence; statistical signal processing; and discrete-event simulation. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and a member of the Phi Kappa Phi Honor Society. He was a recipient of the Significant Event Award by ORNL, in 2007, the best paper award at the Mediterranean Conference on Intelligent Systems and Automation, in 2008, the best paper award at the IEEE International Symposium on Power Electronics for Distributed Generation Systems, in 2018, the Best Mentor Award by ORNL, in 2019, and the Supplemental Performance Award by ORNL, in 2020.