Speakers

Keynote Speaker

Prof. Jamshid Aghaei

Central Queensland University, Australia

Prof. Jamshid Aghaei is a researcher and academic in renewable and sustainable energy systems, serving as a professor at the School of Engineering and Technology, Central Queensland University, Australia. As a Senior Member of IEEE, his work focuses on advancing decarbonised, digitalised, decentralised, and democratised power and energy systems, including smart grids, power system operation and planning, distributed energy integration, electricity markets, optimisation, AI, and data analytics. He has contributed to over 300 publications and more than 20 national and international research projects. His work has been recognised with an h-index of 77 and over 17,000 citations, and he has been listed among the top 2% of researchers worldwide by Stanford University. Prof. Aghaei places great value on mentoring the next generation of researchers, having guided more than 50 master’s students, 30 Ph.D. students, and 3 postdoctoral researchers. He also contributes to the academic community as an editor and associate editor for several respected journals, including IEEE Transactions on Smart Grid, IEEE Transactions on Cloud Computing, IEEE Systems Journal, IEEE Open Access Journal of Power and Energy, Electric Power System Research, and IET journals.

Driving Resilience: Harnessing Mobile Energy Hubs for Electrical Distribution Network Resilience

Extreme weather events such as floods and cyclones are no longer rare disturbances to electricity systems; they are increasingly defining operational and planning conditions. This keynote speech examines how power distribution networks can be designed to remain adaptive, resilient, and rapidly recoverable when extreme events simultaneously disrupt electrical and transportation infrastructures. The discussion adopts a data-driven and spatially informed perspective. Historical information from electricity distribution systems and regional transportation networks is synthesised to understand how past events have affected infrastructure performance and accessibility. Using GIS-based analysis, spatial vulnerability patterns are identified, highlighting locations where service disruption, access constraints, and critical demand intersect. These insights support targeted resilience strategies rather than broad, reactive interventions. Building on this foundation, the speech introduces the concept of Green Mobile Energy Hubs (GMEHs) as flexible, deployable resources for enhancing resilience. Advanced optimisation frameworks are presented to allocate GMEHs in disaster-prone areas and to route GMEH within each cluster for each scenario. In the allocation phase, stochastic and robust optimisation techniques explicitly account for uncertainty in hazard occurrence and system conditions, enabling proactive positioning of mobile energy assets. To this end, an algorithm based on Nearest Neighbour Routing and Dijkstra methods is developed. In the routing phase, real-time system status and accessibility information are incorporated to dynamically route GMEHs using shortest-path algorithms, minimising restoration time to critical loads. The algorithm is called Scenario-Adaptive Shortest-Path Greedy, and based on this framework, different methods for incorporating load priority are included.

Keynote Speaker

Prof. Wei Xu

University of Chinese Academy of Sciences, China

BIO: Professor Wei Xu is Director of the State Key Laboratory of High-Density Electromagnetic Energy and Power Systems in Institute of Electrical Engineering, Chinese Academy of Sciences. He has mainly focused on the developments of high-density electrical machines and drives. He has firstly proposed the unequal amplitude vector theory and significantly improved the traction capacity and energy efficiency of electrical machines and systems. He has served as General Chairs for international conferences three times, and internationally Steering Committee Member for LDIA, and Associate Editor of IEEE TIE and IEEE TPEL. His academic works have been cited over 13,000 times by statistics of Google Scholar with H-index 58. He has been awarded as an IEEE Fellow, IET Fellow, IEEE IES Distinguished Lecturer, Elsevier China Highly Cited Scholar, etc.

Most Advances in Design and Control for Linear Induction Machines and Drives

Linear induction machines (LIMs) have found more and more applications due to some advantages of direct drive with smaller volume, stronger acceleration/deceleration, lower maintenance and noise, etc. compared to rotary induction machines (RIMs). Firstly, main differences between LIMs and RIMs will be highlighted, focusing on the aspects end effects in details. Design criteria of LIMs will be specifically exposed, emphasizing the main differences with the classic rotating induction motor design, caused by the presence of end effects, large air-gaps, half-filled slots, high leakage inductances, etc. Afterwards, in order to improve the working efficiency, it will share advancements in the accurate modelling, loss minimization control strategy, multi-objective optimization technique, etc. for LIMs and drives. Researchers and engineers from electrical, mechanical and information fields may find this lecture very useful when dealing with transportation motor and drive related design, control, system integration, which can be extended to other industrial applications.