Mohsen Eskandari

Dr. Mohsen Eskandari is a Research Fellow at the University of New South Wales (UNSW) in the School of Electrical Engineering and Telecommunications, Faculty of Engineering. He joined UNSW as a Postdoctoral Research Associate in March 2020 and became a Research Fellow with the AUSMURI Neuro-Autonomy project in early 2021. He is also the founder of MAI OptiTek, offering consultancy and AI services for intelligent grids and networks.

Dr. Eskandari received his B.Sc. and M.Sc. degrees in electrical engineering from Islamic Azad University, Saveh, Iran, in 2004 and 2013, respectively, and his Ph.D. in electrical engineering from the University of Technology Sydney (UTS), Australia, in 2021.

His research focuses on power systems and renewable energy, with particular emphasis on:

• Stabilizing autonomous networked microgrids for future resilient grids
• Intelligent autonomy for autonomous vehicles and systems
• Impedance emulation and shaping for inverter-interfaced energy resources
• Revisiting and quantifying inverter-dominated grids' inertia and impedance strength indexes
• Intelligent control, management and protection techniques for inverter-based energy resources and microgrids
• Wireless communication aided accurate localization for autonomous intelligent vehicles and UAVs

Dr. Eskandari has received numerous awards for his research excellence, including the Higher Degree Research Excellence Award from UTS Faculty of Engineering and Information Technology in both 2018 and 2019.

• Higher Degree Research Excellence Award at UTS Faculty of Engineering and Information Technology (2018, 2019)
• UTS International Research Scholarship (2016)
• UTS President's Scholarship (2016)
• UTS FEIT Higher Degree by Research Publication Award (2017)
• UTS FEIT HDR Research Collaboration Experience Scholarship (2018)
• UTS FEIT Higher Degree Research Directors Commendation (2018)
• UTS FEIT Higher Degree Research Excellence Award (2019)

He has secured research funding including a grant from the National Natural Science Foundation of China ($130,000, 2018) and a FEIT HDR Research Collaboration Experience Grant from UTS ($4,000, 2018). Dr. Eskandari is actively seeking PhD candidates to supervise in areas including power systems, renewable energy, AI-assisted control, optimization and automation, autonomous vehicles and systems, and robotics.

With over ten years of industry experience, Dr. Eskandari provides technical sub-consultancy services for consultant companies toward digitalization and intelligent grids, particularly in design and stability analysis, parameter tuning, and connection testing of inverter-based energy resources.