
I am a Senior Lecturer in Energy Systems with the School of Electical Engineering and Telecommunications, UNSW Australia and coordinate the research work at the Real-Time Digital Simulation (RTS) laboratory of UNSW.
I am also an ARC Discovery Early Career Research Fellow. I was awarded my DECRA in 2017 for project DE170100370 High-voltage DC grids for flexible and efficient electricity transmission looking into the operation of Power Electronics in Multiterminal dc transmission systems.
I received my B. Eng in Electrical and Computer Engineering from Aristotle University of Thessaloniki, Greece in 2007 and the Ph.D. in Power Electronics from the University of New South Wales (UNSW), Sydney, Australia in August 2012. From 2008 till 2010 I was a Ph.D. student with the School of Electrical and Information Engineering at the University of Sydney and in April of 2010 joined UNSW Australia for the remaining of my PhD studies. I was a Research Associate (2013) and a Senior Research Associate (2014-2015) with the Australian Energy Research Institure (AERI). In 2015, I was one of the 13 Australian to be accepted in the Australia - China Young Scientist Exchange Program and in 2016 I was awarded a Next Steps Initiative Grant for collaborations with Chinese Partners.
I currently serve as an Associate Editor for IEEE Transactions on Power Electronics and IET Power Electronics - the main two Power Electronics publication outlets.
My research interests include:
Current Courses:
Current Undergraduate & Postgraduate student supervision
Currently working on:
My Research Supervision
Current Undergraduate & Postgraduate student supervision
My Teaching
I am currently lecturing
Over the past years electric power systems have changed and evolved substantially. With paramount requirements to improve economic efficiency and reduce environmental impact, modern electricity networks are being pushed towards the boundaries of reliable, flexible, and resilient operation. This includes more interconnections in electricity networks and adding more power electronics-based equipment to networks. Real time digital simulations have become more commonplace as a critical technology for utilities and manufacturers in this demanding and dynamic environment to support the study of power system behavior/ operation, the closed-loop testing of new equipment, and the strategic development of new protection and control functions.
The Real-Time Digital Simulations (RTS) course delivers i) the concept of real time digital simulation, ii) the application of RTS concepts and techniques in development and continued operation of modern power systems and power electronics converters. Moreover, the students are provided with the opportunity to engage with the up to date research and dynamic research groups in the field.
The aims of the course are to:
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Implementation of Smart Grid strategies by power utilities necessitates a new set of skills, experiences and knowledge. Understanding the Smart Grid requires knowledge of numerous key engineering topics in electrical and power engineering, telecommunications and information technologies. Such key engineering disciplines also must intersect other disciplines including sciences, markets, business strategies and processes, energy related policies and regulation. The Smart Grid requires a suite of new standards to be developed and implemented from the technical point of view. Moreover, the Smart Grid is a customer-centred transformation of aged electricity grids and promises to deliver many benefits to customers, hence consumer behaviour and social sciences also play an important role in smart grids.
Professionals and engineers working in the power industry and information and communications technologies will seek to upgrade and expand their practical skills to meet unprecedented market demand. This course provides a cross-disciplinary overview approach of the various topics of a Smart Grid ranging from the fundamentals of Smart Grids to renewable energy systems, energy storage, IT communications and standards. The course focuses mainly on intelligent electricity distribution networks and provides the basis
The aims of the course are to: