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Associate Professor Mehdi Seyedmahmoudian

Associate Professor, Research Director (School of Software & Electrical Engineering)


Dr Mehdi Seyedmahmoudian, is Associate Professor at School of Software & Electrical Engineering at Swinburne University of Technology, Australia. He holds B.Sc. degree, M. Eng. Degree and PhD degree in Electrical and Electronics Engineering. His research interests includes renewable Energy systems, Artificial Intelligence and the application of emerging technologies, like VR-AR, in New Energy Technology systems and sustainable developments. Prior to his current position, he was a Course Coordinator in the School of Engineering, Deakin University, Australia. He also served as Deputy Director of CADET_VR lab at Deakin university. He strongly believes in industry engagements in the research sectors and has stablished several research partnerships whith external industries during his academic career. Mehdi have been chief/partner investigator of more than $3’000’000.00 funding application submission, including $1'200'000 successful funded projects. He has been author/co-author of around 120 research articles, including 100 highly-ranked journal papers that have been cited more than 2500 times in the prestigious databases including Nature Publication Journals.

Research interests

Power System stability and control; Smart Grids and Microgrids; Electric vehicle - Battery, Electric Power train, autonomous control and ITS Networked Robotics; Power System stability and control; VR

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.

PhD topics and outlines

Advanced Energy Management System for community microgrid with P2P sharing capabilities:

DER_DC_Migrogrid Design and Grid Integration

Designe and Implementation VR based Renewable Energy Platforms:

Optimization of Virtual Power Plants (VPPs) Using Convex and Swarm Optimization Tecniques

Power Sharing through inverter interfaced control and seamless Transfer of Microgrids:

Solar-driven waste-to-energy for smart rural areas:

Virtual Reality Training Platforms for the Maintenance of Power System


Available to supervise honours students.

Fields of Research

  • Electrical Energy Generation (incl. Renewables, Excl. Photovoltaics) - 400803
  • Virtual And Mixed Reality - 460708
  • Electrical Energy Transmission, Networks And Systems - 400805
  • Electrical Energy Generation (incl. Renewables, Excl. Photovoltaics) - 400803
  • Electrical Energy Storage - 400804

Teaching areas

Smart Grids and Microgrids;Electrical Engineering;VR;AR

Professional memberships

  • 2016 - 2018: Select, Deakin University, Australia


Also published as: Seyedmahmoudian, Mehdi; Seyedmahmoudian, M.; Seyedmahmoudian, Mohammadmehdi; Seyedmahmoudian, Mahdi
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2021: Design and implementation of Advanced micro wind turbine (under 10kw) passive control system *; ADANT Services Group - Fund Scheme
  • 2021: Development and experimental implementation of Transactive Demand Response Management System through Open ADR-approach for institutional Buildings *; Australian Renewable Energy Agency
  • 2021: Donald and Tarnagulla Microgrid Feasibility Study- Stakeholder Impact Investigation *; C4NET Fund Scheme
  • 2020: Advanced Energy Management System for Regional Virtual Power Plant *; KIG Energy
  • 2020: Investigation of Workforce Solutions for Rural and Remote Services in Aged Care *; Deakin University
  • 2019: Design of an Efficient BIPV Microgrid with integrated Storage System *; Brightcell Energy Pty Ltd
  • 2019: Dynamic Responsive Virtual Reality Training Scenarios for Confined Space Entry (CSE) Training *; Deakin University

* Chief Investigator

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