Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts
Theo Hofman is an Associate Professor and Program Director in the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He specializes in integrated design methods for complex engineering systems, focusing on powertrain systems for automotive, maritime, and aerospace applications. His work emphasizes computational design synthesis, machine learning, and model-based optimization. Education: Hofman holds an MSc (1999) and PhD (2007) in Mechanical Engineering from TU/e. He has held roles at Thales Cryogenics and Drivetrain Innovations before joining TU/e. He also served as an Invited Professor at ETH Zurich and Université Polytechnique Hauts-de-France. Research Interests: His research spans hybrid electric vehicles, powertrain design, energy management systems, and sustainable transportation. Key areas include automated design tools, thermal management, and co-design of plant and control systems. Applications include electric trucks, ships, and aircraft. Articles Trends: His recent publications (2021–2025) emphasize electric vehicle infrastructure optimization, battery systems, and control strategies. Key themes include energy efficiency, thermal management, and co-design methodologies for automotive and mobility systems. Scientific Awards: IEEE VPPC 2024 Best Paper Award. Advising & Grants: He has supervised over 104 MSc, 14 PDEng, and 10 PhD students. Active projects include the 'Green Transport Delta' initiative (2021–2024) and Bosch Transmission collaborations. His courses include 'Electric and Hybrid Vehicle Powertrain Design' and 'Automotive Systems Engineering Project.' Labs/Teams: He leads the Group Hofman and collaborates with the MEGEVH (France) and TU/e’s EAISI Mobility initiative. His work contributes to UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action.
Professor Kais Atallah is a Professor in Electrical Engineering at the University of Sheffield's School of Electrical and Electronic Engineering, with a secondary role as a Lecturer in Aerospace Engineering. He joined the University in 1989 as a PhD student and became academic staff in 2000. His research focuses on electromechanical energy conversion, magnetic torque systems, and applications in renewable energy, electric vehicles, and aerospace actuation. He is a member of the Centre for Research Into Electrical Energy Storage and Applications (CREESA) and leads the Electrical Machines and Drives Research Group. His research interests include novel drivetrain designs for wind turbines, flywheel systems, and fault-tolerant machine systems for safety-critical aerospace applications. He has advised multiple PhD students and contributed to over 150 publications, with recent work emphasizing magnetic gear design, high-performance ferrite machines, and modular multilevel converters. His articles explore themes like high-efficiency power transmission, magnetic gear optimization for wind turbines, and traction machine control systems. Collaborations include work on subsea ROV propulsion and flywheel energy storage. He oversees research labs focused on advanced electrical machine design and energy storage solutions.
Prof. Kwang W. Oh is a tenured Professor at the Department of Electrical Engineering and Department of Biomedical Engineering within the School of Engineering and Applied Sciences at University at Buffalo (SUNY at Buffalo) . He serves as the Director of Graduate Studies in Electrical Engineering and Director of SMALL (Sensors and MicroActuators Learning Lab) . His academic journey includes PhD and MS in Electrical and Computer Engineering from University of Cincinnati (2001, 1997) and BS in Physics from Chonbuk National University (1995). Prof. Oh's research expertise lies at the intersection of microfluidics , BioMEMS , and lab-on-a-chip technologies. His lab has pioneered vacuum-driven microfluidic devices , PDMS-based systems , droplet manipulation , and chemical-free fabrication techniques . His work enables point-of-care diagnostics , single cell analysis , and wearable medical sensors , with significant contributions to sample-to-answer nanosystems and world-to-chip interfacing . The scientific awards section highlights his excellence in teaching and research: SUNY Chancellor's Award for Excellence in Teaching (2020) Meyerson Award for Undergraduate Teaching (2019) Qualcomm Faculty Award (2019) Senior Teacher of the Year (2017) Royal Society of Chemistry's Emerging Investigators (2013) Samsung Electronics' CEO Honor (2003) His lab has produced numerous PhD and MS students including Dr. Anyang Wang (2020), Dr. Nikhila Nyayapathi (2020), Mr. Liam Christie (2021), and Dr. Domin Koh (2019). As a conference chair , he has organized symposia at NanoTech (2012-2026) and served as editorial board member for Sensors , Micromachines , and Biomedical Engineering Letters .
Dr Amir Kadiric is a Reader in Mechanical Engineering at Imperial College London's Faculty of Engineering, leading the SKF University Technology Centre for Tribology. He holds a MEng (Mechanical Engineering) and PhD (Tribology) from Imperial College (2005). Previously, he worked at SKF's Engineering and Research Centre in the Netherlands, focusing on rolling bearing research. Education: MEng in Mechanical Engineering (Imperial College), PhD in Tribology (Imperial College, 2005) His research emphasizes damage mechanisms in machine elements—such as rolling contact fatigue (micropitting, pitting), scuffing, and fretting—as well as reliability/efficiency of electric vehicle transmissions and condition monitoring of tribological systems. He collaborates with industries to advance applications in wind turbines, geared turbofan engines, and EV drivetrains. His work integrates experimental and computational methods, including novel techniques for in-situ lubricant film measurement and tribofilm analysis. He leads the Imperial-Industry collaboration through the SKF UTC for Tribology, advancing fundamental and applied tribology research. Dr Kadiric’s lab focuses on surface coatings, lubricant formulation, and advanced material characterization to mitigate failure modes in dynamic mechanical systems. His contributions bridge academic and industrial challenges in sustainable energy systems and high-performance engineering components.
Hannes Hick is a Professor at Graz University of Technology , affiliated with the Institute of Machine Elements and Development Methodology . His research focuses on mechanical development, tribology, and systems engineering for automotive and industrial applications. He actively contributes to engineering education and methodology standardization. Research Interests Hydrogen internal combustion engines System modeling and digital twins Tribology in electric drivetrains Sustainable engineering practices MBSE (Model-Based Systems Engineering) Friction and wear analysis Article Trends His recent work emphasizes hydrogen propulsion systems, model-based approaches for interdisciplinary engineering challenges, tribological optimization for sustainable mobility, and integrating AI with mechanical design workflows. Labs and Teams He leads research at the Institute of Machine Elements, focusing on mechanical validation and development methodologies for advanced powertrain systems.
Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils
Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.
Professor Geraint Jewell is affiliated with the University of Sheffield , serving as Director of the Rolls-Royce University Technology Centre in Advanced Electrical Machines (since 2006) and Director of the EPSRC Future Electrical Machines Manufacturing Hub (since 2019). He is a graduate of the university (BEng 1988, PhD 1992) and has held academic roles since 1994. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship at Rolls-Royce (2006-2008) Former Faculty Director of Research and Innovation (2008-2011) Former Head of Department (2013-2019) His research focuses on power-dense electrical machines for aerospace applications , including permanent magnet machines , switched reluctance machines , and linear actuators . He has supervised ~20 PhD students and led collaborations with Rolls-Royce on high-temperature devices (up to 800°C) and aero-engine starter-generators. Recent publications analyze stator insulation thermal degradation , eddy current control in additively manufactured materials , and magnetic loss prediction in silicon steel. His work spans electromagnetic modeling , core loss calculation , and advanced manufacturing techniques for electrical machines. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship (2006-2008) He has advised PhD students across topics like consequent-pole PM machines , doubly salient SynRMs , and core loss characterization . His Electrical Machines and Drives Research Group explores modular motor design and magnetic material optimization for aerospace and electric vehicles.
Thomas Ebel is Professor and Head of the Centre for Industrial Electronics at the University of Southern Denmark (SDU) , Institute of Mechanical and Electrical Engineering. A leading expert in power electronics, high-voltage engineering and capacitor technology, he directs large, multi-partner research projects and teaches/supervises at both graduate and PhD levels. Education & Career Path Prof. Ebel holds the academic title Dr. rer. nat. and has been appointed full Professor at SDU. He concurrently serves as Head of Section at the Centre for Industrial Electronics, orchestrating cross-disciplinary research teams and infrastructure. Research Interests Power Electronics & Power Conversion: advanced converter topologies, WBG devices (GaN, SiC), high-frequency magnetics, grid-forming control. Dielectric Materials & Capacitors: polymer and hybrid nanocomposite dielectrics, self-healing metallized film capacitors, aluminium electrolytic capacitors, lifetime modelling and reliability. High-Voltage Engineering & Breakdown Physics: breakdown mechanisms in nanocomposites, corona and partial discharge, insulation coordination. IoT & Data-Driven Monitoring: real-time condition monitoring, digital twins, data-driven RUL estimation for power components. Publication Trends Across 133 research outputs (2018-2025) the dominant themes are (i) construction and reliability of 700 V-class aluminium polymer electrolytic capacitors, (ii) GaN-based power converter optimisation, (iii) hybrid AC/DC microgrid control and harmonic mitigation, and (iv) nanocomposite dielectrics for next-generation capacitors. The 15 most recent articles (2025) reinforce these directions while adding socio-technical energy analytics and green-vehicle powertrains. Scientific Awards Tek Innovation Prize 2023 – awarded for outstanding contributions to power electronics research and industrial innovation. Advising & Funding Prof. Ebel currently supervises ~10 PhD candidates and post-docs including L. Tavares, M. A. Khan, R. Maheshwari, S. Mateen, A. N. Pinky and others. He is Principal Investigator or Head Coordinator of six active projects (2024-2027) valued at >€8 M, spanning ultra-high-efficiency drives, hydrogen-PtX converters, self-healing capacitors and hybrid power-plant concepts. Laboratory & Teams He heads the High-Voltage Power Electronics Laboratory at SDU, equipped with 700 V/200 A capacitor test rigs, GaN/SiC converter prototyping benches, and environmental chambers for accelerated ageing studies. The centre collaborates with 20+ industrial partners and coordinates the international IEA Wind Task 50 on hybrid power plants.
Prof. Kwang W. Oh is a Professor and Director of Graduate Studies in the Department of Electrical Engineering at the University at Buffalo (SUNY), with an adjunct appointment in the Department of Biomedical Engineering. He directs the Sensors and MicroActuators Learning Lab (SMALL), focusing on biomedical microfluidic devices, sensors, and actuators for applications in medical diagnostics and biological research. His educational background includes: PhD in Electrical and Computer Engineering from the University of Cincinnati (2001) MS in Electrical and Computer Engineering from the University of Cincinnati (1997) BS in Physics with summa cum laude from Chonbuk National University, Korea (1994) Prof. Oh's research centers on microfluidics and BioMEMS (Bio Micro Electro Mechanical Systems), with specializations in LOC (lab-on-a-chip), MicroTAS (Micro Total Analysis Systems), and SANS (Sample-to-Answer Nano/microfluidic Systems). His work develops practical microfluidic devices for medical diagnostics, including point-of-care blood testing, single cell manipulation, and nanobiosensors. His lab has pioneered innovative approaches like the "pysanky" wax-based technique for rapid prototyping of microfluidic devices and vacuum-driven micropumps for plasma separation from finger-prick blood samples. His recent publications reveal a strong trend toward practical medical applications of microfluidics, particularly in photoacoustic imaging test phantoms, point-of-care diagnostics, and nanoparticle synthesis for viral treatment. His research bridges engineering with clinical needs, focusing on making laboratory functions portable and accessible through microfluidic integration. Among his notable awards: The SUNY Chancellor's Award for Excellence in Teaching (2020) President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring (2019) Qualcomm Faculty Award (2019) Senior Teacher of the Year Award, SEAS, UB (2017) Emerging Investigators 2012, Lab Chip, Royal Society of Chemistry (2013) Honor of CEO, Samsung Electronics for development of a micro PCR system (2003) Prof. Oh has advised numerous graduate students including Dr. Anyang Wang, Dr. Nikhila Nyayapathi, and Dr. Domin Koh, who have gone on to successful careers in academia and industry. His research has been supported by significant grants, including a Qualcomm Faculty Award in 2019, which recognizes research that "inspires students and sparks new approaches in key technology areas." He actively participates in professional service as an editorial board member for several journals including Sensors and Micromachines. He directs the Sensors and MicroActuators Learning Lab (SMALL), which houses state-of-the-art facilities for microfluidic device fabrication and testing. The lab focuses on developing practical microfluidic solutions for medical diagnostics, with recent projects including test phantoms for photoacoustic imaging, vacuum-driven micropumps for point-of-care blood separation, and microfluidic devices for nanoparticle synthesis targeting viral treatments. The lab fosters interdisciplinary collaboration between engineering, medicine, and life sciences to translate microfluidic innovations into real-world medical applications.
Pragasen Pillay is a Professor of Electrical and Computer Engineering at Concordia University and holds the Concordia University Research Chair in the same field. His research focuses on electric machines and drives, electric vehicles, and renewable energy systems. He leads advanced studies in variable flux motors, soft magnetic composite materials, and power hardware-in-the-loop (PHIL) emulation for fault diagnosis. Education: PhD from Virginia Polytechnic Institute (1987), MSc and B.Eng from University of Kwa-Zulu Natal (1983 and 1981). Research emphasizes electric vehicle drivetrain design, renewable energy integration, and high-efficiency motor development. Notable contributions include work on rare-earth-free magnets, torque pulsation reduction, and thermal modeling of electric machines. His lab facilities include a 200 hp dynamometer and solar power electronics systems for the Future Building Laboratory. Publications span over 30 years, with recent focus on PHIL-based fault emulation, variable flux motor topologies, and SMC material applications. His work bridges theoretical analysis with experimental validation, addressing challenges in both academic and industrial settings.
Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)
Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.
Håkan Johansson is a Professor in the Dynamics division of the Department of Mechanics and Maritime Sciences at Chalmers University of Technology. His research focuses on computational methods to analyze controlled mechanical systems, with applications in wind turbines, heavy vehicle drivelines, and wave propagation in soft biological tissues. Professor Johansson's primary research interests include computational mechanics, wind turbine dynamics, railway system dynamics, biomechanics, condition monitoring systems, optimization methods, and structural dynamics. His work bridges theoretical computational methods with practical engineering applications across multiple domains, particularly in renewable energy systems and transportation infrastructure. Analysis of his publication record reveals a strong focus on computational modeling applied to real-world engineering problems. His recent work demonstrates significant contributions to wind turbine technology, railway infrastructure monitoring, and biomechanical modeling. The publications show a consistent pattern of applying advanced computational techniques to solve complex mechanical system challenges, with increasing emphasis on digital twin technology and model-based condition monitoring systems. Professor Johansson leads or participates in multiple research projects including 'Towards Digital Twins of the Human Body for Personalized Safety' (2025-2026), 'AI-Driven Constrained Optimal Control for Bi-manual Loco-Manipulation' (2024-2029), and 'A Digital Twin for Durability to Accelerate Development and Enable Predictive Maintenance' (2024-2027). His research has received funding from various sources including VINNOVA, Wallenberg AI program, and Swedish Wind Power Technology Center. His research group focuses on computational methods for mechanical systems with applications across multiple domains. The work involves developing advanced computational models, validation through experimental data, and implementation in real-world monitoring and optimization systems. Current efforts emphasize digital twin frameworks and model-based condition monitoring for various engineering systems.
