
A true expert who inspires confidence.
Makes every class a memorable experience.
Makes even dry topics interesting.
Helps students see the joy in learning.
A true mentor who cares about success.
Dr. Ehsan Pashajavid is a Senior Lecturer and Discipline Lead in Electrical and Electronic Engineering within the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, part of the Faculty of Science and Engineering. He serves as Director of Curtin's Green Electric Energy Park, Energy Systems and Digitisation Theme Lead at the Curtin Institute for Energy Transition, and interim lead of the Green Electric Energy Park. Recognized as a renewable energy integration specialist, his research centers on renewable and distributed generation integration, electric vehicles, microgrids, smart grids, stochastic modeling and optimization, power system planning and operation, and the application of power electronics to power systems. With three years of experience in the power industry, he brings practical insights to his academic work. Pashajavid holds a BSc and MSc from K. N. Toosi University of Technology, and a PhD from Curtin University awarded in 2017 for his thesis 'Stable Overload Management Schemes for Isolated Coupled Microgrids,' supervised by Arindam Ghosh in the Department of Electrical and Computer Engineering.
His career includes serving as an Instructor at K. N. Toosi University of Technology's Faculty of Electrical and Computer Engineering from 2009 to 2014, followed by a Researcher position at Curtin University from September 2014 to May 2018, and Lecturer since June 2018, advancing to Senior Lecturer. He is actively involved in several ARC and RACE for 2030-funded research projects. Pashajavid's scholarly impact is evidenced by over 960 citations on Google Scholar. Key publications include 'Development of a Self-Healing Strategy to Enhance the Overloading Resilience of Islanded Microgrids' (2015), 'Non-Gaussian multivariate modeling of plug-in electric vehicles load demand' (with M. Golkar), 'Optimal Sizing and Economic Analysis of Community Battery Systems Considering Sensitivity and Uncertainty Factors' (2024), and recent works such as 'An Intelligent Control Strategy for Microgrid Energy Storage Systems Using Distributed Collaborative Approach' (2025) and 'Decentralised energy management using blockchain in virtual power plants with batteries to reduce network congestion' (2025). He is a Senior Member of IEEE (SMIEEE).

Photo by Osarugue Igbinoba on Unsplash
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