Muhammad Mansoor (Scholar, LinkedIn) is an Assistant Project Scientist at UC San Diego working under the supervision of Prof. Jan Kleissl. Muhammad is currently working on the development and testing of a microgrid controller using Model Predictive Control (MPC) framework at one of the UC San Diego microgrid sites that has Solar PV, Battery system, and EV Chargers. He received his B.E. degree in Electrical Engineering from National University of Sciences and Technology, Karachi, Pakistan in 2015. He received his M.Sc. degree in Electrical engineering (specialization: Smart Grids) from Politecnico di Milano, Milan, Italy in 2018. He earned his Ph.D. degree summa cum laude in Electrical Engineering (specialization in Energy Economics) from Vienna University of Technology (TU Wien), Vienna, Austria in 2022. He is an active member of IEEE, IEEE Power & Energy Society, and IEEE Young Professionals.
Muhammad has been working on the development and testing of Model Predictive Control (MPC) based supervisory microgrid controller for optimization of multi-energy systems. He has been developing and testing Application Programmable Interfaces (APIs) for connecting remote SCADA/EMS and DERs with cloud-based optimization engines. Moreover, he has developed and tested communication protocols such as Modbus TCP/IP, REST/JSON, and MQTT to connect different SCADA/EMS and DERs of microgrids with remote optimization engines. He has been performing real-time open-loop as well as closed-loop operation dispatch control testing at one of the UC San Diego microgrid sites.