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Associate Professor Mehdi Seyedmahmoudian

Associate Professor 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 application of emerging technologies, like VR-AR, in Complex Engineering problems. 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 engagement research initiatives and has stablished several research partnerships with external industries during his academic career. Mehdi has been chief/partner investigator of more than $15.7M funding application submission, including $6.4 successfully funded projects. He is amoung the top 2% researchers in the world based on his research performance within in EE and energy disciplines in 2020. He has been author/co-author of ~150 research articles, including 120 highly-ranked journal papers, 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

  • 2022: Future Map License - Industry 4.0 Readiness Assessment Program & Development of New futuremap survey element - Clean Energy *; Innovative Manufacturing CRC
  • 2022: Second Phase: Virtual Reality-based Next Generation Lean Leader Training Platform *; Theta Wave Pty Ltd - Partnership Funds
  • 2022: Swinburne Siemens Energy Transformation Hub *; Siemens
  • 2022: Technology and Dementia Care ? A Conceptualisation of Digital Twins for Facilitating Better Dementia Prediction, Prevention and Care. *; Barbara Dicker Brain Science grant
  • 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
  • 2021: Virtual Reality based Next Generation Lean Leader Training Platform *; Theta Wave Pty Ltd - Partnership Funds
  • 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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