Masoud Barati is received the Ph.D. degree in electrical engineering from Illinois Institute of Technology, Chicago, in 2013. He was assistant professor in the Electrical and Computer Engineering Department at the University of Houston and Louisiana State University. Presently, he is the assistant professor in Department of Electrical and Computer Engineering at University of Pittsburgh. His research interest lies in developing new optimization and control algorithms for electric power systems. Examples of specific research topics in this area include the use of optimization techniques, such as algorithm-based programming, to solve the optimal power flow problem and to create the highest resiliency; designing methodologies for transactive energy management and microgrid integration; and developing algorithms for detecting and mitigating cyber-attacks in SCADA and protection systems. His current research interests include the intersection of data science and optimization theory with power grid applications, time series deep learning, faster than real-time simulation, wide area monitoring, and multi-interdependent infrastructures management.