Mahmoud Saleh

Assistant Professor

Office Location

Innovation, Science, and Technology Building, 4700 Research Way, room 2085B, Lakeland, FL 33805


Ph.D. in Electrical Engineering, The City College at the City University of New York, 2019
M.E. in Electrical Engineering, The City College at the City University of New York, 2013


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Google Scholar Profile
Research Gate


Dr. Mahmoud Saleh joined Florida Poly in 2019 as an assistant professor. He received his ME and PhD in electrical engineering from the City College of New York in 2013 and 2019. His current research activities involve cyber-attacks on cyber-physical systems (e.g. smart grids and microgrids), enhancing grid resilience, and utilizing machine/deep learning tools in the analysis of the electric energy markets and electric transportation systems. Saleh has participated in cofounding two microgrid-startups and co-authored more than 20 technical papers in top journals and conferences. Through his research, he is trying to bridge the gap between the research and industry in regard to implementing more renewable energy resources with profitable business models.

Saleh’s doctorate work was focused on enhancing the resilience of the electric smart grids in the distribution and transmission levels by developing a new control hierarchy for autonomous operation of microgrids and microgrid communities during normal and severe conditions. He was confident that in order to develop a fully resilient automated system, a person should understand that system, the utilized monitoring/control systems, and their practical limitations. He led a team to design and implement a completely flexible and controllable MG testbed at CCNY, with minimal off-the-shelf components, winning first prize in the ninth annual graduate student research symposium at CCNY for this work. He also proposed a novel autonomous communication-based control architecture for MGs, which was granted an award by IEEE System Council. However, to guarantee a resilient operation of such MGs, impact of ICT degradation, such as latency, should be analyzed. He studied the impact of communication delay on MGs performance. Mathematical models were developed to predict the behavior of MGs during latency. This work won the best paper in the IEEE ICRERA. Saleh also understood that the vision of smart grids includes high penetration of microgrids and investigated:

  • Impact of clustering multiple microgrids during blackouts, on their stability and supply availability and developed a Real-Time Energy Management Algorithm for them.
  • Used Complex Network analysis to find the optimal placement of MGs in a distribution network.
  • Modeled the transmission system of NY State 230 KV and above. Then he conducted case studies regarding the impact of high penetration of renewable energy resources on Long Island city grid resilience.

He also led a project with the utility company in NY “Con-Edison” and the MTA, to evaluate the techno-economic feasibility of harnessing regenerative energy.



  • Electric smart grids and microgrids
  • Electric transportation systems
  • Utilizing machine and deep learning in electric energy markets and cyber-security
  • Cyber-threats’ impacts on the electric smart grids
  • Renewable energy


Professional Activities

  • Cofounded PluginBlocks startup in the Zahn entrepreneurship competition, the project was one of six to be selected out of 200 projects.
  • Member, IEEE Industry Application Society and IEEE Power and Energy Society, 2014-current
  • Editorial board member at American Journal of Electrical Power and Energy Systems, SCIREA Journal of Energy, SCIREA Journal of Electrical Engineering, and Donnish Journal of Internet and Information Systems, 2018-current
  • Reviewer for IEEE Transactions on Smart grid, IEEE Transactions Industry and Applications Society (IAS), IEEE Transactions on Sustainable Energy, IEEE Transactions on Vehicular Technology. 2018-current
  • Reviewed papers at: IEEE Power and Energy Conference at Illinois (PECI), IEEE Smart Grid Conference (SGC), IEEE International Conference on Renewable Energy Research, The 8th IEEE India International Conference on Power Electronics, The 3rd International Conference on Energy Engineering and Environmental Protection, IEEE Industry Application Society Annual meeting, and IEEE Texas Power and Energy Conference (TPEC).


Awards and Honors

  • Best paper award in the IEEE International Conference on Renewable Energy Research and Applications for my paper entitled “Hardware Based Testing of Communication Based Control for DC Microgrid”, 2017.
  • James O. Gray Scholarship for my work regarding autonomous communication-based control architecture for microgrids. The prize was presented by IEEE System Council, 2017.
  • First prize at the 9th annual graduate student research symposium at The City College of New York for designing, modeling, and building the first CCNY microgrid testbed. 2016
  • Neural Networks and Deep Learning certificate from Coursera (Score of 98%)
  • Passed Professional Engineering (PE) and Fundamental Engineering (FE).


Selected Publications


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