Self-Powered sensing for IoT
Location: tba

This Special Session aims to attract recent developments on self-powered sensing for the Internet of Things (IoT), showcasing works that focus on research studies aligned with the development of self-powered sensing node and their potential implementation in emerging applications. These comprise (the list is indicative but not exhaustive): sensor design (micromachined – MEMS, quantum and photonic), energy harvesting (piezoelectric, electromagnetic, triboelectric, pyroelectric), bio-inspired sensors and energy harvesters, self-powered systems integrated with machine learning algorithms. A variety of applications is welcome (e.g. from biomedical to propulsion systems and environmental monitoring).

Cryogenic power electronics and drive systems
Location: tba

Cryogenic and superconducting electric drive system has great potential for liquid hydrogen powered electric aircraft, which requires higher specific power and efficient solutions. Cryogenic environments offer reduced electrical resistance and enhanced thermal management, enabling higher efficiency, power density, and performance for power electronics. Cryogenic Power Electronics and Drive Systems explores advancements in the design, operation, and application of power electronics and drive systems operating at cryogenic temperatures. The session will cover innovations in cryogenic motor drives, converters, and applications in fields such as superconducting systems and aerospace with unique design considerations essential to optimizing system reliability and efficiency under extreme low-temperature conditions.

AI-Enhanced E-Mobility and Electrification of Propulsion Systems for Low-Carbon Transportation Applications
Location: tba

As the world accelerates efforts to decarbonize transportation, the electrification of propulsion systems has become a central strategy for achieving lower emissions and enhancing energy efficiency. Coupled with AI technologies, electrification offers the potential for highly optimized, intelligent transport solutions. This session will focus on how AI and electrification can work together to reduce carbon footprints, improve operational efficiency, and integrate renewable energy sources into transportation infrastructure. This session aims to showcase innovative research and applications that contribute to the sustainable electrification of diverse transportation sectors, including rail, marine, heavy-duty, and light-duty vehicles.

High-speed motors: Design Innovations and Drive Controls 
Location: tba

High-speed (HS) motors are widely used in industrial fields, such as electric vehicles, aviation, compressors, turbochargers, etc., due to their high power density, compact size, high efficiency and better dynamic performance. With the increasing demand for HS motors and higher power density, the application of new materials and techniques to motors and drives has been investigated, for instance, metal oxide insulating materials, advanced cooling methods, dual-phase ferromagnetic materials, and high-strength composite materials. Moreover, artificial intelligence methods and 3D printing techniques can bring more design opportunities for high-speed motors. Therefore, this special session aims to share the latest achievements, experiences and lessons learned in the field of high-speed motors.

Model Predictive Control of Power Converters and Electrical Drives
Location: tba

In recent decades, advancements in modern microcontrollers have enabled the development of intelligent control strategies, offering alternatives to conventional techniques for power converters. Predictive control has gained significant attention due to its intuitive approach, eliminating the need for linear controllers and modulators. It also easily incorporates nonlinearities and constraints into the control law, enhancing flexibility and adaptability. These advantages position predictive control as a promising solution for future industrial applications, contingent on further advancements and refinements.

Electric Propulsion for Aviation: Challenges and Opportunities
Location: tba

Electric propulsion is at the forefront of transforming the aviation industry, enabling significant reductions in carbon emissions and paving the way toward sustainable air transportation. Endorsed by PELS Technical Committee on Aerospace Power, this special session will bring together leading researchers, industry practitioners, and policymakers to explore the latest advancements in electric propulsion technologies, their integration into aviation systems, and their role in achieving net-zero aviation.

Key Themes and Topics:
•Advanced power electronics and motor drive systems 
•High-power-density electrical machines for propulsion
•Digital twin technologies for aircraft electrification
•Thermal management and reliability challenges

Advancing Electrified Transportation: Artificial Intelligence-Driven Innovations in Electrical Machines and Drives
Location: tba

The electrification of transportation is a critical pathway toward achieving global sustainability and reducing carbon emissions. As the transportation sector undergoes a profound transformation, the role of electrical machines and drives has become pivotal in advancing the performance, efficiency, and reliability of the traction systems. Leveraging emerging artificial intelligence (AI) techniques, the field is witnessing significant advancements in efficient machine design, predictive condition monitoring, and real-time optimization of machine drive systems. This special session aims to share the latest achievements in key areas of electrical machines for transportation electrification, with a focus on leveraging AI techniques.

Ai based fault detection, diagnosis and reliability assessment in power electronic converters
Location: tba

Power electronic converters are critical components which are prone to faults due to thermal stress, switching failures, component degradation, and external disturbances. Traditional fault diagnosis and reliability assessment methods often rely on rule-based or model-based approaches. Artificial Intelligence (AI) techniques, such as machine learning (ML) and deep learning (DL), offer significant potential for improving fault diagnosis, reliability assessment, and fault detection in power electronic converters. By using data-driven approaches, AI can enhance accuracy, speed, and adaptability of fault detection systems, enabling predictive maintenance and improved system reliability. This SS proposal will encompass the development in the integration of AI techniques into fault diagnosis, reliability assessment, and fault detection for power electronic converters.

Power Electronic Semiconductors: 2050
Location: tba

This workshop is designed to foster in-depth discussions and provide valuable insights into global trends and challenges in semiconductor research, with a particular focus on Power Electronic Semiconductors.

This session will feature two brief, expert-led talks on the future of Power Electronic Semiconductors, delivered by renowned researchers. This will be followed by an interactive discussion using strategic foresight methodologies to explore the trajectory of power electronic semiconductors over the next 25 years. The session also aims to facilitate meaningful networking and collaboration between researchers and industry stakeholders.

Additionally, the workshop will contribute to a DSIT and UKRI-commissioned study on current and emerging semiconductor-related research within UK universities. It will further support the National Semiconductor Strategy, helping to shape long-term interventions that advance academic R&D in the semiconductor sector.

Universally Interoperable Open-Source Solutions for Energy Access
Location: tba

Ensuring affordable, reliable, and sustainable energy access for all by 2030 is a fundamental pillar of the global Sustainable Development Goals (SDGs). Achieving this requires addressing two intertwined challenges: the energy transition—decarbonizing electricity generation and electrifying demand—and universal energy access, particularly in underserved and disaster-affected regions. While renewable energy adoption has accelerated with advancements in solar PV, energy storage, electric vehicles, and power electronics, progress in energy access remains slow, with over 680 million people still lacking electricity and 2 billion relying on unreliable energy sources. This session calls for the development of a universally interoperable, open-source framework to bridge the gap between technological innovation and energy equity, ensuring that emerging energy solutions are accessible, modular, and adaptable to diverse contexts. By fostering open-source collaboration, these solutions aim to (1) Accelerate energy resilience in disaster-prone and underserved regions, (2) Enhance interoperability of decentralized energy systems, (3) Reduce post-disaster recovery times through rapid, scalable deployment, and (4) Promote economic and social development by enabling local innovation and entrepreneurship. This special session will bring together experts, policymakers, and industry leaders to discuss how open, modular, and interoperable energy systems can leapfrog traditional infrastructure models, unlock new markets, and contribute to the broader vision of universal, sustainable, and resilient energy access.