Dr Mehdi Seyedmahmoudian
- Faculty of Science, Engineering & Technology
- School of Software and Electrical Engineering
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering
- EN508a Hawthorn campus
- ORCID profile
Dr Mehdi Seyedmahmoudian, is the Senior Lecturer 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 Lecturer and a Course Coordinator in the School of Engineering, Deakin University, Australia. He also served as Deputy Director of CADET_VR lab at Deakin university between 2016 to 2018. 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 $2’000’000.00 funding application submission, including $700'000 successful funded projects. He has been author/co-author of around 80 research articles, including 65 highly-ranked journal papers, 2 book/book chapters and 14 conference papers that have been cited more than 1000 times in the prestigious databases including Nature Publication Journals.
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
- Power And Energy Systems Engineering (excl. Renewable Power) - 090607
- Renewable Power And Energy Systems Engineering (excl. Solar Cells) - 090608
- Virtual Reality And Related Simulation - 080111
Smart Grids and Microgrids;Electrical Engineering;VR;AR
- 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
- 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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