Associate Professor Wen Soong is affiliated with the University of Adelaide's School of Electrical and Mechanical Engineering, Department of Electrical and Electronic Engineering. His research focuses on high-performance electrical machines, energy storage systems, and renewable energy integration. He is actively involved in advising postgraduate students and contributes to advancing technologies for sustainable power systems. Research Interests: High-Performance Permanent Magnet and Reluctance Machines Energy Storage Applications in Power Systems Condition Monitoring of Electrical Machines Electric Vehicle Technologies Microgrid Planning and Optimization Recent publications highlight trends in advanced motor design, battery management systems, and sustainable microgrid solutions for mining and transportation sectors. His work emphasizes practical frameworks for energy efficiency and grid resilience.
Claude Marchand is a Professor in the Department of Electrical and Electronic Engineering at the University of Paris. He leads the Laboratory for Electrical and Electronic Engineering of Paris, focusing on advanced research in electric machines, energy systems, and non-destructive evaluation techniques. His work spans hybrid powertrains, renewable energy integration, and electromechanical system optimization. Affiliations: Laboratory of Electrical and Electronic Engineering of Paris, University of Paris Key Research Areas: Electric Vehicles, Renewable Energy Systems, Non-Destructive Testing, Energy Management, Advanced Actuator Design Research Interests: Dr. Marchand’s research emphasizes improving energy efficiency through innovative control strategies and machine design. His studies include optimizing hybrid powertrain architectures, developing high-performance electric motors (e.g., switched reluctance machines), and advancing eddy-current-based non-destructive evaluation methods for material analysis. He also explores supercapacitor integration and photovoltaic system optimization for sustainable energy solutions. Recent work highlights the application of neural networks for defect detection in conductive materials and metamodel-based approaches for electric vehicle powertrain optimization. He has contributed to over 100 peer-reviewed publications, including studies on energy management algorithms for fuel cell scooters and vibration reduction in electric motors. Awards: Best Paper Award on Renewable Energies (2019) Dr. Marchand collaborates extensively with industry partners on projects like circulatory assistance actuators for medical devices and high-efficiency klystron designs. His team also investigates model-order reduction techniques for electric machine simulation and copper loss calculations.
Professor Andras Sobester is a Professor in the Department of Aeronautics and Astronautics at the University of Southampton, part of the Faculty of Engineering and Physical Sciences. His research focuses on design technology tools for aerospace engineering, including parametric geometry modeling and design space exploration. He leads open-source projects like ADRpy (aircraft design tools) and AirCONICS (parametric geometry toolkit). He collaborates closely with Airbus UK and has authored/co-authored books on aircraft design, statistical modeling, and UAV systems. His research interests span computational engineering, parametric design, and aerospace systems. Notable projects include EPSRC-funded initiatives on digital design processes, risk mapping for UAVs, and teleoperated systems. Sobester has been awarded a Royal Academy of Engineering Research Fellowship (2007) and has supervised multiple PhD students in aerospace and environmental engineering. Recent publications emphasize UAV performance validation, risk modeling for autonomous systems, and topology optimization. His work bridges academic research with industrial applications, particularly in aircraft design and computational methods.
Dr. Yangfan Liu is an Assistant Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. His primary affiliation is with the Department of Mechanical Engineering, where he focuses on acoustics and noise control research. His work integrates computational modeling, signal processing, and experimental validation to address challenges in noise reduction and sound field analysis. Research interests include Acoustic Source Modeling , Active Noise Control , Room Acoustics Simulation , and Human Perception of Noise . He develops advanced algorithms for noise mitigation in mechanical systems, such as compressors and wind turbines, and explores novel materials like piezoelectric composites for acoustic applications. His recent work emphasizes multi-physical modeling of noise generation mechanisms and constraint-based filter design for real-time noise cancellation systems. Collaborations involve CFD-CAA coupling and machine learning for fault diagnosis in electrified powertrains. Key contributions include the Virtual Rotating Array method for source localization and the Computational Statistically Optimized Near-Field Acoustical Holography (C-SONAH) . His research bridges fundamental acoustics theory with industrial applications in automotive, HVAC, and renewable energy sectors. Dr. Liu is based at the Herrick Labs (HLAB 1008) and can be reached via email .
Professor Richard Burke is a faculty member in the Department of Mechanical Engineering at the University of Bath, where he serves as Centre Director for the IAAPS Made Smarter Innovation: Centre for People-Led Digitalisation. His research focuses on automotive engineering systems, particularly turbocharger technology, internal combustion engines, electric vehicle powertrains, and thermal management systems. Professor Burke's research interests span a wide range of mechanical engineering topics related to sustainable transportation. His work encompasses turbocharger systems optimization, electric vehicle powertrain development, hydrogen fuel cell applications, and advanced engine control strategies. He has made significant contributions to understanding transient engine performance, thermal management in electric motors, and emissions reduction technologies. His research often bridges theoretical modeling with practical engineering applications, particularly in the automotive sector. His publication record shows a clear trend toward sustainable mobility solutions, with increasing focus on electrified powertrains, hydrogen technologies, and emission reduction strategies in recent years. His work demonstrates expertise in both traditional internal combustion engine optimization and emerging electric and hydrogen-powered vehicle technologies. The interdisciplinary nature of his research connects mechanical engineering principles with control systems, thermal dynamics, and energy management. Professor Burke appears to be actively supervising doctoral students and has contributed to engineering education through initiatives like the virtual engine laboratory for teaching powertrain engineering. His work has garnered significant citations, particularly in areas of turbocharger technology and electric vehicle systems, indicating substantial impact in his research fields.
Murat Çakan is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University (ITU), Faculty of Mechanical Engineering. His academic and research career spans fluid mechanics, energy systems, and flow machines, with a strong emphasis on thermal engineering and sustainable technologies. PhD, Université Catholique de Louvain Doctorate Lecturer, ITU (2002–) Research Engineer, von Karman Institute for Fluid Dynamics (1993–1999) Visiting Researcher, Northeastern University (2005) Vocational School Director, ITU (2012–2017) His research interests include fluid mechanics , heat transfer , computational fluid dynamics (CFD) , turbomachinery , building energy efficiency , ventilation systems , and renewable energy integration . He has led numerous national and institutional research projects, focusing on energy performance, thermal management, and sustainable design. The recent publications reflect a consistent focus on numerical modeling and simulation of thermal and fluid systems, particularly in additive manufacturing , electric vehicles , building energy loads under climate change , and industrial cooling . His work bridges theoretical analysis with practical engineering applications, often involving experimental validation. Scientific Contributions: Editorial Board Member, REHVA (2019–2022) Editor, Turkish Plumbing Engineers Association Journal Active member of professional associations including ITU Alumni, VKI Alumni, and Clean Sea Association He has supervised over 20 graduate theses and has been principal investigator on multiple funded research projects. He teaches core mechanical engineering courses such as Fluid Mechanics , Turbomachinery , and Science Instruments . His work demonstrates a strong commitment to advancing energy-efficient technologies and sustainable engineering solutions. Laboratory and Research Activities: His research involves computational and experimental work in thermal systems, fluid dynamics, and energy conversion, often in collaboration with industry and international partners. He has contributed to electric vehicle development, pump systems, and smart energy solutions.
Carlo Concari is an Associate Professor in the Department of Engineering and Architecture at the University of Parma, where he actively contributes to teaching and research in electrical and electronic engineering, particularly in the domains of electric drives, automotive systems, and sustainable mobility. He teaches core courses such as Electric Drives , Electrotechnics , and Dynamics and Compliant Design of Road Vehicles across both Bachelor’s and Master’s programs. His research focuses on enhancing the performance and efficiency of electric and hybrid vehicles through advanced control strategies, energy management, and innovative powertrain designs. Key areas include multi-actuated electric vehicles, active vibration control in motors, and hybrid energy storage systems. His recent publications highlight collaborative work on optimizing high-performance hybrid powertrains and improving industrial communication for power electronics. The trends in his research articles reflect a strong emphasis on sustainable urban mobility, energy efficiency, and electromechanical integration. His work bridges theoretical modeling with practical implementation in automotive and industrial applications. While no specific scientific awards are mentioned in the available data, his consistent publication record in recent years demonstrates active engagement in impactful research. Prof. Concari advises students in electronic and automotive engineering programs and contributes to curriculum development in electric vehicle technologies. He is involved in research projects related to electric drivetrains, hybrid systems, and industrial automation, as evidenced by his co-authored technical papers. He is part of research teams focused on advanced automotive electronic systems and power electronics applications, particularly within the context of intelligent and sustainable vehicles. These efforts are aligned with broader initiatives in green transportation and smart energy use in mobility.
Zuomin Dong is a Professor in the Department of Mechanical Engineering at the University of Victoria (UVic), Canada. He holds a Ph.D. in Mechanical Engineering from the University at Buffalo and has been a faculty member since 1989. He served as Chair of the Department of Mechanical Engineering for over a decade and is a Professional Engineer (P.Eng.) and Fellow of the Canadian Society for Mechanical Engineers (CSME). His research focuses on advanced propulsion systems, including hybrid electric vehicles, marine vessels, and fuel cell technologies, alongside optimization algorithms and intelligent systems applied to manufacturing and energy systems. Dr. Dong's work integrates computational design, global optimization methods, and real-time control systems. Key research areas include PEM fuel cell system modeling, 5-axis CNC machining optimization, and smart grid applications. He has authored numerous patents, including innovations in hybrid drive systems and fuel cell stack designs. His collaborations with industry and government agencies address challenges in green transportation and energy efficiency. Dr. Dong teaches undergraduate and graduate courses such as Computer-Aided Design, Hybrid Electric Vehicle Fundamentals, and Engineering Optimization. He has led editorial roles in journals like the International Journal of Concurrent Engineering and contributed to international conferences. His research has been supported by grants from NSERC, Transport Canada, and other funding bodies, emphasizing practical applications of advanced technologies.
Murat Fatih DEMİR is a full-time Lecturer at Kastamonu University , affiliated with the Cide Rıfat Ilgaz Vocational School in the Department of Electronics and Automation . He holds a Master's degree in Electrical and Electronics Engineering from Marmara University (2019-2023) and a BSc in the same field from İnönü University (2012-2017). Education MSc: Electrical and Electronics Engineering , Marmara University (2019-2023) BSc: Electrical and Electronics Engineering , İnönü University (2012-2017) His research focuses on Electrical Installations , Electronics , and Electrical Energy and Power Systems . Recent publications emphasize electric vehicle traction motor optimization and advanced simulation techniques for motor control systems. Collaborative work includes partnerships with researchers like Necibe Füsun Oyman Serteller, Habib Kaymaz, and Rohullah Rahmetullah. Key projects involve MATLAB/Simulink modeling of electrical systems and powertrain analysis for sustainable transportation.
Wellmann C. A. is a Researcher affiliated with RWTH Aachen University, focusing on advanced engineering topics related to electric vehicles and intelligent control systems. Their work bridges mechanical, electrical, and computational domains to address challenges in sustainable mobility. Research Interests: Primary expertise spans Electric Vehicles , Model Predictive Control , Bayesian Optimization , and Powertrain Systems . They develop algorithms for energy management, robotic charging solutions, and co-optimization of electric drive technologies. Publication Trends: Recent articles (2024-2025) emphasize data-driven optimization for EV components, thermal modeling of electric machines, and simulation frameworks for charging infrastructure. Dominant themes include integration of machine learning with control theory and practical applications in automotive engineering.
Prof. Dr.-Ing. Peter Urban is a Professor and Deputy Director at the Institute of Automotive Engineering, RWTH Aachen University in Germany. His research encompasses automotive engineering with focus areas including vehicle acoustics, electric vehicles, autonomous systems, and safety engineering. He leads initiatives in vehicle design and traffic psychology research. Research Focus: Vehicle acoustics and noise reduction technologies Electric vehicle architecture and battery integration Autonomous delivery systems and urban mobility solutions Crash safety and occupant protection systems Sustainable transportation design His recent publications demonstrate strong emphasis on electric vehicle component integration (battery housings, lightweight structures), traffic noise reduction methodologies, and safety assessments for autonomous systems. Work frequently addresses European standards and certification requirements.
Prof. Dr.-Ing. Stefan Pischinger serves as Professor and Chairholder of Thermodynamics of Mobile Energy Conversion Systems at RWTH Aachen University's Institute of Thermodynamics. He holds key leadership roles as Spokesperson for the Fuel Science Center (FSC) Cluster of Excellence, Energy, Chemical & Process Engineering (ECPE) profile area, and Competence Center Power to Fuel. His research infrastructure includes laboratory facilities at Forckenbeckstraße 4, 52074 Aachen (z-Building [4153]), with direct contact via pischinger_s@tme.rwth-aachen.de and +49 241 80-48001. His research program centers on decarbonizing combustion systems through hydrogen/ammonia fuel adaptation, multi-fuel engine optimization, and advanced aftertreatment technologies. Key focus areas include charge motion design for carbon-neutral fuels , predictive knock modeling for alternative fuel blends, and emission footprint analysis of sustainable propulsion pathways. His work bridges fundamental thermodynamics with practical engineering solutions for heavy-duty transportation and marine applications. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Hydrogen combustion system optimization for both on- and off-highway applications, (2) Data-driven calibration methodologies for multi-fuel engines, and (3) Life-cycle assessment of renewable fuel pathways. His team employs combined optical diagnostics, numerical simulation, and cloud-based data science tools to address Euro 7 emission challenges and zero-impact propulsion targets. Scientific Awards No scientific awards were documented in the source materials Advising and grant activities remain unspecified in available documentation. His leadership positions suggest oversight of substantial research funding through the FSC Cluster of Excellence and Competence Center Power to Fuel initiatives, though specific grant details aren't provided. Laboratory operations are centered within the Chair of Thermodynamics of Mobile Energy Conversion Systems, with collaborative frameworks through the Fuel Science Center's interdisciplinary network. His team maintains specialized capabilities in hydrogen jet formation analysis, ammonia combustion testing, and non-exhaust particle emission simulation, supporting both fundamental research and industry partnerships in sustainable mobility.
Stefan Pettersson is an Adjunct Professor in Electrical Engineering at Chalmers University of Technology. He is also the Research Manager of the Electromobility application area at RISE Viktoria, leading a group of over twenty researchers and overseeing more than 30 annual projects addressing technology, human behavior, business, and societal perspectives in mobility. His work focuses on energy management for hybrid powertrains and advancing fossil-free transport systems. M.Sc. in Automation Engineering Ph.D. in Control Engineering Stefan’s research spans Control Engineering , Electromobility , and Energy Management , with an emphasis on sustainable transportation solutions. His leadership roles include guiding RISE Viktoria’s Electromobility initiatives and participating in Chalmers’ department council discussions on future research directions. At RISE Viktoria, Stefan leads a multidisciplinary team conducting over 30 projects annually, integrating technical, behavioral, and strategic approaches to mobility. He also oversees RISE’s Energy and Environment for Mobility focus area, aligning industry needs with collaborative projects toward a fossil-free transport system.
Mauro Salazar is an Assistant Professor in the Control Systems Technology section of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), with co-affiliations at the Eindhoven AI Systems Institute (EAISI) in both Health and Mobility domains. He leads his own research group focused on optimization models and methods for systems and control. His educational background includes: B.Sc. and M.Sc. in Mechanical Engineering from ETH Zürich (2012, 2015) Master thesis conducted at EPFL's Automatic Control Lab Ph.D. in Mechanical Engineering from ETH Zürich (2019) in collaboration with Ferrari Formula 1 Postdoctoral Scholar at Stanford University's Autonomous Systems Lab (2019-2020) Salazar's research centers on optimization models for multi-scale cyber-socio-technical systems with applications spanning mobility systems, pandemic response, and material design. His work bridges theoretical optimization with practical implementation, particularly in sustainable mobility solutions where he develops methods for optimal design and operation of transportation systems from single vehicles to entire networks. He investigates mesoscopic user behavior modeling and designs incentive schemes to align individual and system-level objectives in transportation networks. His recent publications (2025) demonstrate a strong focus on sustainable mobility systems, with recurring themes in electric vehicle fleet management, battery degradation modeling, ride-pooling algorithms, and energy management for transportation electrification. His work spans multiple disciplines including automotive engineering, control systems, energy management, and public health, characterized by rigorous mathematical optimization approaches applied to real-world challenges. His scientific recognitions include: Two ETH Medals (for Master's and PhD theses) Best Student Paper awards at ITS 2018 and ECC 2022 Best Teacher Award (2021) Nomination for TU/e Young Researcher Award (2022) Salazar actively advises research projects and secured funding through the Dutch Research Council's NEON project (Crossover research program, Grant 17628). His teaching portfolio includes Optimal Control and Reinforcement Learning, Engineering Optimization, and Advanced Full-Electric and Hybrid Powertrain Design. He leads the 'Group Salazar' within the Control Systems Technology section and contributes to EAISI Health and Mobility initiatives.
Professor Dmytro Oleksandrovych Kulagin is a distinguished faculty member at Zaporizhzhia Polytechnic National University, holding a position in the Department of Electric Drive and Automation of Industrial Installations within the Electrical Engineering School. With a Doctor of Technical Sciences degree and academic title of Professor, he has been actively contributing to the university since 2008. His educational background is remarkably diverse, with honors diplomas in Electromechanical Automation Systems and Electric Drive, Finance and Banking, and Law from Zaporizhia National Technical University. Professor Kulagin's research focuses on increasing the energy efficiency of diesel-generator power plants of vehicles and developing scientific foundations of electric traction systems. His work spans theoretical and applied aspects of power engineering, with particular emphasis on optimizing energy conversion and transmission systems in transportation applications. His expertise extends to mathematical problems of electrical power engineering and electrical complexes of industrial enterprises, where he applies modern mathematical apparatus in conducting scientific research. His scholarly output demonstrates significant impact, with 92 printed scientific works including 6 monographs, 43 articles in professional publications (7 in foreign journals), and 20 patents of Ukraine. His research has been published in reputable journals such as Scientific Bulletin of the National Mining University, Electrical Engineering and Electrical Equipment, and Technical Electrodynamics, among others. Honored Inventor of Ukraine (2017) Gratitude of the Ministry of Education and Science of Ukraine (2016, 2017) Certificate of Honor of the Cabinet of Ministers of Ukraine (2016) Certificate of Honor from the Zaporizhia Regional State Administration (2014, 2017) Certificate of Honor of the Zaporizhzhia Regional Council (2016) Professor Kulagin maintains active scholarly engagement through his ORCID (0000-0003-3610-4250), Scopus (56417920800), and Google Scholar profiles. His work bridges theoretical research with practical engineering applications, contributing significantly to advancements in energy-efficient transportation systems. Fluent in Ukrainian and English, he continues to advance knowledge in his field while mentoring the next generation of engineers at Zaporizhzhia Polytechnic National University.
