Rate My Professor Reza Razzaghi

Associate Professor Reza Razzaghi is an ARC Discovery Early Career Researcher Award (DECRA) Fellow in the Department of Electrical and Computer Systems Engineering, Faculty of Engineering, at Monash University. He leads the Distributed and Intelligent Power Systems (DIPS) research group, specializing in smart grids, distributed energy resources, electric vehicles, renewable energy integration in power networks, electromagnetic transients, power system protection, fault location, and energy data analytics. His research develops smart grid solutions to enable sustainable, economic, and secure electricity supply, contributing to UN Sustainable Development Goals 3, 9, and 13. Razzaghi's work has attracted over 4,300 citations on Google Scholar and includes a commercialized patent from his electromagnetic time reversal research.

Razzaghi obtained his B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Tehran in 2009 and 2011, respectively, followed by a Ph.D. from the École Polytechnique Fédérale de Lausanne (EPFL) in 2016, earning the Distinguished Ph.D. Thesis Award. He was a Postdoctoral Fellow at EPFL from April 2016 to October 2017 before joining Monash University. He serves as Industry Advisory Committee Chair for Electrical and Computer Systems Engineering and Student Activities Coordinator for the IEEE Power and Energy Society since 2019. His accolades include the 2019 Richard B. Shulz Best Transactions Paper Award from IEEE Transactions on Electromagnetic Compatibility, Basil Papadias Best Paper Award at IEEE PowerTech 2013, Best Paper Award at ASAIEM 2017, Dean's Award for Technological Innovation in Learning and Teaching 2021, and EPFL Doctorate Award Finalist 2017. Key publications are 'An efficient method based on the electromagnetic time reversal to locate faults in power networks' (IEEE Transactions on Power Delivery, 2013), 'Transactive coordination of electric vehicles with voltage control in distribution networks' (IEEE Transactions on Sustainable Energy, 2022), 'Topology identification of radial distribution networks using smart meter data' (IEEE Systems Journal, 2022), 'Decentralized control strategy to improve fairness in active power curtailment of PV inverters in low-voltage distribution networks' (IEEE Transactions on Sustainable Energy, 2021), and 'Lightweight blockchain framework for location-aware peer-to-peer energy trading' (International Journal of Electrical Power and Energy Systems, 2021). He leads ARC-funded projects such as Accurate Fault Location Methods for Complex Power Networks (2023-2026) and industry efforts on voltage management and fleet electrification.