
BSc, Islamic Azad University, Saveh Branch, Saveh, Iran, the Islamic Republic of, 2000 - 2004
I was born in Saveh, Iran. I received the B.Sc. and M.Sc. degrees from the Islamic Azad University, Saveh Branch, Saveh, Iran, in 2004 and 2013, and the Ph.D. degree from the University of Technology Sydney, Sydney, Australia, in 2021, all in Electrical Engineering. I am a Research Fellow with the University of New South Wales, Sydney, Australia, since March 2020.
I have over 10 years of experience in different parts of the electrical industry. I have proven skills in handling power systems projects as well as a strong background in the field of automation and control. I also possess valuable experience in relation to power systems at transmission, distribution, and load (industrial and residential) levels.
My research interests include power systems, microgrids, control theory, optimization and AI, UAV navigation, wireless communication, and wireless power transfer.
For publishing high quality, high impact research
In recognition of outstanding potential and an excellent individual HDR project
In recognition of outstanding academic performance and the best individual HDR project
Modern power systems have been developing through high penetration of the power electronic-based renewable energy resources and distributed generation units into conventional power systems. Mixing up the power systems and the power electronics technologies along with the smart grid facilities, the microgrid concept has gained full attention for addressing the resiliency issue of modern power systems through autonomous operation capability. However, it is not an easy task to stabilize an autonomous microgrid due to the dominated inverter-interfaced generation units and complex power flow. The microgrid is an emerging technology that facilitates the integration of renewable resources into power systems, and definitely, would be the cornerstone of future/modern power systems.
Goal
Hypothesis
Toward Net-Zero carbon emission energy and power systems.
The microgrid concept is the key solution to address the resiliency issue of modern power systems.
The electric components are identified by their impedances and the impedance model of an electric system reveals its characteristics. The dominant inductive impedance of bulk power systems in generation and transmission levels and its compliance with the f-P and V-Q control loops have resulted in harmony for the stable operation of bulk power systems for more than a century. However, inverters reveal arbitrary impedance characteristics, depending on their controllers, that have put the stability of power systems at risk. This project introduces a new concept for developing and designing inverters based on the impedance shaping concept.
Goal
Developing and designing impedance shaping-based controllers to solve stability issues of modern grids hosting inverter-interfaced distributed energy resources.
Hypothesis
A universal controller for inverters utilizing impedance shaping consistent with inertia-impedance strength indexes of electrical grids.
Studying the application of deep learning AI-based techniques for addressing uncertainties, complexities, nonlinearities, and computational hardness of conventional methods for control, energy management, and protection of inverter-interface energy resources and (micro) grids.
Goal
Hypothesis
Developing digital twin (a virtual model) of inverters and microgrids with an intelligent decision-making capability.
Neuro-autonomy: neuro-inspired perception, navigation, and spatial awareness for autonomous robots, vehicles and systems.
Goal