Find Academic Supervisors

• Tribology
• Mechanical Engineering
• Automotive Engineering
• +3 more

Mahdi Mohammad-Pour is an Associate Professor in Dynamics at Loughborough University, UK. Prior to this role, he served as Senior Lecturer and held post-doctoral and lecturing positions within the same institution. His research focuses on tribology and dynamics, particularly in automotive transmissions, bearings, and wear modeling. He earned his BSc and MSc in thermo-fluids from Urmia University, Iran, followed by a PhD in Tribodynamics from Loughborough University. His work bridges theoretical and applied mechanics, with applications in high-performance engineering systems. Education: PhD in Tribodynamics, Loughborough University MSc in Energy Conversion, Urmia University, Iran BSc in Mechanics in Heat and Fluid, Urmia University, Iran Research Interests: Dr. Mohammad-Pour’s expertise spans tribology, mechanical dynamics, and advanced materials. His studies emphasize optimizing mechanical systems through computational modeling, exploring wear mechanisms in gears and bearings, and enhancing energy efficiency in powertrains. He employs machine learning and advanced microscopy techniques to analyze friction and surface interactions at micro- and nanoscales. Key Achievements: IMechE Best Paper Award (2014) Highly Commended IOP Paper (2016) Publications: His recent work highlights trends in electric powertrain NVH optimization, tribological applications of neural networks, and high-speed bearing dynamics. A common theme is the integration of computational models with experimental data to address real-world engineering challenges. Advising & Grants: While specific student/advisor details are not listed, his research group actively engages in collaborative projects funded by industry and academic grants. He contributes to the Dynamics and Tribology research group at Loughborough. Lab/Teams: His research aligns with the Dynamics and Tribology group, focusing on experimental and computational tribology, mechanical systems dynamics, and advanced materials testing.

Guang-Jin LiView profile

Professor

• Electrical Machines Design
• Renewable Energy Systems
• Electric Vehicles and Hybrid Technologies
• +5 more

Professor Guang-Jin Li holds the position of Professor in Electrical Machines at the University of Sheffield's School of Electrical and Electronic Engineering. He leads the Electrical Machines and Drives Research Group, focusing on advanced electrical machine design for renewable energy and electric/hybrid vehicle applications. His research emphasizes fault tolerance, thermal management, and high-efficiency machine configurations. Education: BEng in Electrical Engineering, Wuhan University (2007) MSc in Electric Power Systems, Université de Paris XI (2008) PhD in Electrical Engineering, École Normale Supérieure de Cachan (2011) Research interests include novel permanent magnet machines, switched reluctance machines, fault diagnostics (e.g., inter-turn short-circuits), and thermal cooling strategies for offshore wind and EV applications. His work bridges academic innovation with industry collaboration, notably with Siemens-Gamesa and CRRC. Grants and Projects: EPSRC funding for advanced thermomagnetic cooling (2020–2022) Offshore Renewable Catapult grant for wind turbine powertrain research (2019–2027) Innovate UK projects on low-carbon vehicle inverters and power tool motors Labs/Teams: Active in the EPSRC Centre for Doctoral Training in Offshore Wind Energy and the Siemens Wind Power Prosperity Partnership. Supervises research in modular machines, ferrofluid cooling, and fault-tolerant designs.

Omid RazmkhahView profile

Assistant Professor

• Biomechanics
• Crashworthiness Engineering
• Composite Materials
• +3 more

Omid Razmkhah is an Assistant Professor in the School of Mechanical Engineering at Coventry University, serving as MEng course director. He holds a Ph.D. in Biomechanics Engineering from Kingston University London (2014). His expertise spans biomechanics, crashworthiness engineering, and advanced composite materials. Prior roles include lecturer and senior lecturer at Coventry University since 2015. He has supervised multiple MSc and two Ph.D. students, completing one doctoral supervision to date. Research focuses on energy absorption mechanisms in composite structures, finite element modeling, and biomimetic design. Key contributions include studies on sandwich panels, bio-inspired tubular composites, and laser manufacturing optimization. His work aligns with UN Sustainable Development Goals (SDGs) related to industry innovation and climate action. Active in academic conferences, he participated in the 19th International Congress of European Society of Biomechanics (2013) and the 2nd International Symposium on Environment Friendly Energies and Applications (2012). Current research explores sustainable materials, emission reduction strategies, and advanced manufacturing techniques.

• Electronics in Off-Road Vehicles
• Mechatronics
• Hybrid and Electric Powertrains
• +5 more

David Clare is a Senior Lecturer in the Engineering Department at Harper Adams University. His work focuses on integrating electronics, mechatronics, and advanced power systems into off-road vehicles and agricultural machinery, with emphasis on autonomy, mobility, and human-machine interaction. Education: BEng (Hons), Chartered Engineer (CEng), Member of the Institution of Mechanical Engineers (MIMechE), Associate Member of the Institution of Agricultural Engineers (AMIAgrE) Research Interests span the application of electronic control systems to mechanical devices, hybrid powertrains, vehicle dynamics, and noise/vibration mitigation in off-road contexts. His work bridges agricultural engineering and cutting-edge mechatronics. Professional Recognition: Fellow of the Higher Education Academy Teaching Areas: Fluid power systems, control systems, off-road vehicle design, and human-machine interface technologies.

• Automotive Engineering
• Mechatronics
• Motion Control
• +3 more

Maarten Steinbuch is a Distinguished University Professor in Systems and Control and Chair of Control Systems Technology at Eindhoven University of Technology (TU/e). His research focuses on automotive engineering, mechatronics, motion control, fusion plasma control, and robotics for precision surgery. He has held roles such as Scientific Director of the TU/e High Tech Systems Center (2014–2020) and Scientific Director of the Eindhoven Engine (since 2018). Education: MSc and PhD from Delft University of Technology. Research Interests: Design and control of motion systems, robotics, automotive powertrains, and fusion plasmas. Notable contributions include advanced motion control techniques, precision surgery robotics, and electric vehicle technologies. Awards: IEEE Fellow (2019) Simon Stevin Master 2016 (National Award) University Professor at TU/e (2013) KIVI Academic Society Award (2015) Grants/Projects: Leads projects like TKI2212P06 (Modular Planar Motor for semicon applications) and participates in EU-funded initiatives such as AI-matters. Active in entrepreneurial ventures like Steinbuch in Motion B.V. and MicroSure Founders B.V. Labs/Teams: Head of the Control Systems Technology group and affiliated with TU/e's High-Tech Systems and Mechatronics Academy.

Ahu Ece Hartavi KarciView profile

Professor

• Autonomous Vehicle Systems
• Electric/Hybrid Vehicle Technology
• Control Engineering
• +5 more

Dr. Ahu Ece Hartavi Karci is a Reader and Head of the Centre for Automotive Engineering at the University of Surrey. She holds a Sustainability Fellow title from the University's Sustainability Institute and has secured over €26M in EU funding. Her research focuses on autonomous vehicles, electric/hybrid powertrains, and active magnetic bearings. She has led major projects like ESCALATE (€19M), TrustVehicle, and HADRIAN, advancing zero-emission vehicles and automated driving safety. Dr. Karci has authored 75+ publications, 3 patents, and 3 book chapters, and has been recognized with prestigious awards including the Mercedes-Benz AMG Powertrain Award (2019). She coordinates the Formula Student Electric project and has advised 3 PhD, 2 MSc, and 14 BEng/MEng students. Education: PhD in Electrical & Electronics Engineering (not explicitly stated but implied by career path). Her research spans connected autonomous vehicles, energy-efficient electric machines, and control systems. Recent work includes trajectory optimization for trucks and AI-driven safety systems for Level 3 automation. She collaborates with industry leaders like Ford, Anadolu-Isuzu, and McLaren. Key projects include ESCALATE (zero-emission HDVs), FASTEST (battery safety), and EVC1000 (in-wheel motor tech). She has coordinated 17+ national/international projects, establishing partnerships across 15 EU countries. Awards: Over 8 major awards including global Formula Student victories and innovation prizes. Grants: €26M+ in EU and industry funding; led consortia for Horizon 2020/Europe projects.

Kamyar MehranView profile

Senior Lecturer

• Power Electronics
• Energy Storage Systems
• AI-Based System Modelling and Control
• +7 more

Dr. Kamyar Mehran is a Senior Lecturer in Electrical Power Engineering at the School of Electronic Engineering and Computer Science , Queen Mary University of London , and the founder of the Real-Time Power and Control Systems (RPCS) laboratory. His research spans advanced control and condition monitoring for silicon carbide (SiC)-based power electronics, microgrids, lithium-ion battery systems, and electric/hybrid marine powertrains. Key Research Areas: Power Electronics, Cyber-Physical Systems (CPS), AI-Based Control, Energy Storage, Microgrid Stability, and Battery Management Systems. Notable Projects: Lead UK/Thailand collaborations on wave-powered microgrids for remote islands, EPSRC-funded distributed control of microgrids, and Innovate UK Energy Catalyst grants. Technical Expertise: Hardware-in-the-loop (HIL) simulation, rapid control prototyping (RCP), wireless sensing technologies, and multi-sensory fusion algorithms. Publications focus on distributed control strategies, AI-driven energy management, and SiC MOSFET reliability. His work integrates theoretical advancements (e.g., polynomial fuzzy control systems) with practical applications in renewable energy and electric vehicles.

• Artificial Intelligence
• Music Technology
• Deep Learning
• +3 more

Alexander Williams is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on AI-driven music generation, integration of deep learning models into digital audio workstations, and computational creativity tasks such as music inpainting and harmonization. He explores user-centered workflows for musicians and extends symbolic/audio dataset integration to develop mid-level representations. His work also spans reinforcement learning applications in powertrain optimization, robotics, and energy-efficient systems for wireless sensor networks. Research interests include the intersection of AI with music technology, reinforcement learning in engineering systems, and sustainable energy solutions. His recent projects emphasize practical applications in automotive design, renewable energy harvesting, and robotic control mechanisms. No scientific awards or grants are explicitly mentioned. His current projects involve collaborations with musicians to refine AI tools for creative workflows. Alexander holds a visiting role without part-time status and no listed students or email addresses.

• Optimization Models
• Systems and Control
• Cyber-Socio-Technical Systems
• +3 more

Mauro R.U. Salazar Villalon is an Assistant Professor at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering and co-affiliated with the Eindhoven AI Systems Institute (EAISI). He obtained his B.Sc. and M.Sc. from ETH Zurich, followed by a Ph.D. from ETH Zurich in collaboration with Ferrari Formula 1. After postdoctoral work at Stanford's Autonomous Systems Lab, he joined TU/e in 2020. Educational Background: B.Sc. & M.Sc. in Mechanical Engineering, ETH Zurich Ph.D. in Mechanical Engineering, ETH Zurich (with Ferrari F1) His research focuses on optimization models for cyber-socio-technical systems, addressing challenges in mobility, pandemics, and material design. He develops methods for sustainable transportation systems, including incentive schemes for user behavior alignment. Recent trends in his publications span hydrogen-based hybrid aero engines, ride-pooling network flows, battery-electric truck infrastructure, and electric vehicle powertrain optimization. His work integrates advanced mathematical modeling with real-world applications. Scientific Awards: ETH Medal (Master & PhD theses) Best Student Paper Awards (2018, 2022) Best Teacher Award (2021) Nominated for TU/e Young Researcher Award (2022) IEEE VPPC 2024 Best Paper Award He contributes to projects like Model Predictive Pandemic Control and National Growth Fund initiatives, while teaching courses on powertrain design, engineering optimization, and optimal control. Collaborations extend to Stanford University and the Ferrari Formula 1 team.

Esin Ilhan CaarlsView profile

Assistant Professor

• Electrical Engineering
• Smart Mobility
• Energy Systems
• +5 more

Esin Ilhan Caarls is a part-time Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), affiliated with the High Tech Systems Center and the Electromechanics and Power Electronics Group. She holds a PhD in Electrical Engineering from TU/e (2014) and has extensive industry experience, including roles at Bosch Transmission Technology since 2015 as an Electrical Systems Engineer and E-Drive Specialist. Education: Bachelor's in Electrical Engineering, Istanbul Technical University (2007) Master's in Electrical Engineering, TU/e (2009) PhD in Electrical Engineering, TU/e (2014) Research Interests: Focus on multi-physical approaches in smart mobility, including energy-thermal integration, real-time data-driven design models, and lightweight recyclable materials in electrical drives. Her work emphasizes affordable solutions for transportation within circular economy frameworks. Expertise spans electromagnetic/thermal design, powertrain simulations, and motor control strategies. Key Contributions: Over 47 publications since 2008, with recent work on torque control frameworks for reluctance machines, adaptive PI control for PMSMs, and battery management systems. Awards include the Best Paper Award at IEEE Young Researcher’s Symposium (2010) and the Irene Curie Fellowship (2020). Advising & Collaboration: Supervised MSc, PDEng, and PhD projects at TU/e and collaborating universities. Active in industrial partnerships, particularly in high-efficiency drive systems for mobility applications. Member of TU/e’s Cyber-Physical Systems Center and EAISI Mobility initiative.

Mehrdad KazeraniView profile

Professor

• Power Electronics
• Renewable Energy Integration
• Electric Vehicles
• +3 more

Dr. Mehrdad Kazerani is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. His research focuses on power electronics, renewable energy integration, electric vehicles, energy storage systems, and microgrids. He has extensive experience in multidisciplinary projects funded by NSERC, ESTAC, and industry partners like Hydro One and GM. Dr. Kazerani has supervised numerous students and contributed to IEEE editorial roles. He advises the University of Waterloo's Alternative Fuels Team (UWAFT) and Formula Electric Vehicle team. Education: Ph.D., Electrical Engineering, McGill University, Canada (1995) Master's, Electrical Engineering, Concordia University, Canada (1990) Bachelor's, Electrical and Electronic Engineering, Shiraz University, Iran (1980) Research Interests: Power electronic converter modeling/control, hybrid energy storage systems, electrified vehicular powertrains, renewable energy integration, and AC/DC microgrid design. His work emphasizes smart grid technologies, energy access, and grid resilience. Grants & Contributions: Secured funding from NSERC, OCE, and industry partners. Active in IEEE technical committees, conference organization, and journal editing. Served on national research panels and as an external PhD examiner. Labs & Teams: Leads the Canadian Renewable Energy Laboratory and advises student teams focused on alternative fuels and electric vehicles.

Pablo García TriviñoView profile

Professor

• Energy Management
• Hybrid Systems
• Hybrid Powertrains
• +2 more

Professor Pablo García Triviño is affiliated with the Department of Electrical Engineering at the University of Cádiz, Spain. His research focuses on energy management, hybrid systems, renewable energy, and fuzzy logic applications. He holds a professorship position within the School of Engineering. His work emphasizes innovative solutions in electrical engineering, particularly in integrating renewable energy sources and optimizing hybrid power systems through advanced control strategies like fuzzy logic.

Sven A. BeikerView profile

Lecturer

• Automotive Technology
• Mobility Systems
• Electrification
• +7 more

Sven A. Beiker is a Lecturer in Management at Stanford Graduate School of Business (GSB) and Managing Director of Silicon Valley Mobility, focusing on automotive electrification, automation, connectivity, and shared mobility. He served as Executive Director of the Center for Automotive Research at Stanford (CARS) from 2008 to 2015, co-founded with Stanford professors. Previously, he held roles at BMW (1995–2008) in technology scouting, innovation management, and powertrain development, and later as an Expert Consultant at McKinsey & Company. Education: PhD and MS in Mechanical Engineering from TU Braunschweig, Germany (1995–1999). Research interests encompass automotive technology, business models, and strategic management of industry disruptions. Awards include the Arch T. Colwell Merit Award (2006). Teaching: Leads the course "Strategic Thinking in Action - In Business and Beyond" (Automotive Industry Disruption) at GSB. Professional affiliations include the Precourt Institute for Energy.

Pavlos AleiferisView profile

Professor

• Mechanical Engineering
• Automotive Engineering
• Aerospace Engineering
• +15 more

Professor Pavlos Aleiferis holds the Chair in Thermofluids in the Department of Mechanical Engineering, Faculty of Engineering at Imperial College London. He serves as Head of the Thermofluids Section and Member of the Departmental Management Committee. Previously, he was Professor of Thermofluids at University College London (2015-2016), Reader at UCL (2011-2015), and Lecturer at UCL (2003-2011). He earned his PhD from Imperial College (2000) after completing an MSc in Thermal Power and Fluids Engineering and a Diploma in Mechanical Engineering from the University of Manchester. Research focuses on fundamental fluid mechanics applied to sustainable energy and propulsion systems, employing laser diagnostics and numerical modeling. Key areas include: Turbulence and cyclic variations Hydrogen/ammonia engine flows Flash boiling and supercritical sprays Battery thermal management Underexpanded jets Lubrication film dynamics Sustainable fuel properties Research is sponsored by EPSRC, Jaguar Land Rover (including Centre of Excellence in engine flows), Shell, MAHLE Powertrain, BP, Lotus, Ford, and Delphi. Recent publications demonstrate strong focus on experimental and computational analysis of fuel sprays (ethanol, hydrogen), combustion phenomena, nozzle flow dynamics, and engine optimization. Trends include advanced optical diagnostics (PLIF, schlieren), multi-physics modeling (LES, VOF), and sustainable fuel applications across extreme thermodynamic conditions. Awards include: Dugald Clerk Prize (Institution of Mechanical Engineers) Sugden Award (Combustion Institute) Prizes from Institute of Physics International Centre for Heat and Mass Transfer awards Society of Automotive Engineers honors Teaching responsibilities include leadership of Computational Fluid Dynamics (MECH70015) and co-leadership of Environmental and Applied Fluid Dynamics (MECH70027). Editorial duties encompass boards of Fuel (Elsevier) and Fuels (MDPI).

• Energy Engineering
• Thermodynamics
• Fluid Mechanics
• +5 more

Prof. Carsten Schönfelder is a Professor at Berlin University of Technology's Department of Mechanical Engineering, specializing in energy systems, thermodynamics, and simulation technologies. His academic roles include advising the Computational Engineering and Design bachelor’s program and teaching courses such as Thermodynamics, Fluid Mechanics, and Hydraulics. He leads research in renewable energy technologies, digital twin development for energy plants, and hydrogen applications. His department operates laboratories KEE, TVT/MVT, PRT, and CAE, focusing on advanced engineering experiments. Education background: Holds a PhD from RWTH Aachen University (2007) with research on fuel cell systems for vehicle applications. His academic career includes roles at DaimlerChrysler AG and the Institut Francais du Pétrole. Research interests span energy storage, hydrogen technology, and simulation methodologies. He actively develops modular simulation environments and digital twins for energy infrastructure. Current projects include hydrogen compressor control systems and sector-coupled energy storage solutions. Publications emphasize practical applications of simulation tools in education and industry, including hydraulic systems training and digital exam methodologies. Theses supervised focus on topics like PEM electrolyzers, compressor efficiency, and eco-friendly HVAC systems. Labs and teams: Collaborates with KEE and MVT/TVT labs on advanced thermal systems and fluid dynamics experiments. Engages in interdisciplinary projects bridging mechanical engineering and environmental technology.