Find Academic Supervisors

• Artificial Intelligence
• Battery Technology
• Digitalization
• +7 more

Prof. Dr.-Ing. Weihan Li is a Junior Professor at RWTH Aachen University, specializing in Artificial Intelligence and Digitalization for Batteries. He is affiliated with the Institute for Power Electronics and Electrical Drives (ISEA) and the Center for Ageing, Reliability, and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL). His research bridges informatics, electrochemistry, and power electronics to advance battery technology through AI. B.Sc. in Automotive Engineering (Tongji University, 2014) M.Sc. in Automotive Engineering and Transport (RWTH Aachen, 2017) Ph.D. in Electrical Engineering and Information Technology (RWTH Aachen, 2021, summa cum laude) Prof. Li’s research focuses on AI-driven battery modeling, diagnostics, and optimization. Key areas include digital twin technology, electrochemical parameterization, and lifetime prediction using field data. He explores multi-scale kinetic processes, thermal management, and mechanical-electrochemical coupling effects in battery systems. The articles listed reflect his leadership in AI-powered battery analytics, spanning degradation prediction, fast charging, failure mode analysis, and grid-scale storage. His work emphasizes both theoretical innovation (e.g., diffusion models, physics-informed neural networks) and practical applications (e.g., second-life battery screening, automotive integration). Clarivate Highly Cited Researcher 2024 BMBF BattFutur Research Group (€2M+) German Thesis Award (Körber Foundation) Reichart Prize vgbe Innovation Prize Battery Young Research Award Umbrella Award RWTH Innovation Award Prof. Li leads an interdisciplinary research group with over €6 million in grants from BMBF, BMWK, BMDV, European Commission, and industry partners. His teams focus on battery informatics, AI-driven diagnostics, and digitalization of testing processes at CARL and ISEA.

Gerd TerördeView profile

Professor

• Electrical Engineering
• Power Systems
• Control Engineering
• +3 more

Prof. Dr.-Ing. habil. Gerd Terörde is a Professor of Electrical Drive Technology at Osnabrück University of Applied Sciences, affiliated with the Faculty of Management, Culture and Technology. He holds a Diplom in Electrical Engineering from RWTH Aachen and a Dr.-Ing. habil. from TU Berlin. His career includes research at RWTH Aachen, KU Leuven, and TU Berlin, as well as industry roles as a project leader at Atlas Copco Airpower in Belgium. Education: 1989–1996: Diploma in Electrical Engineering (RWTH Aachen) 2002: PhD in Electrical Engineering (KU Leuven) 2008: Habilitation in Electrical Drive Technology (TU Berlin) Research focuses on electrical drives, power electronics, and control systems, with emphasis on sensorless control, renewable energy integration, and high-performance drive systems. He teaches courses on electrical machines, power electronics, control theory, and regenerative energy systems. Publications include a textbook on electrical drives and numerous patents/contributions to international journals and conferences. His work addresses topics like inverter systems, motion control algorithms, and energy-efficient drive solutions. Labs/Teams: Active in university research groups focusing on electrical drives and energy systems within the Faculty of Management, Culture and Technology.

Zhen LiView profile

Associate Professor

• Power semiconductor devices
• Offshore wind energy systems
• Wide bandgap semiconductors
• +3 more

Zhen Li is Associate Professor at Shandong University's School of Electrical Engineering, specializing in power semiconductor technologies and renewable energy systems. Her research focuses on reliability engineering for offshore wind energy conversion and wide bandgap semiconductor applications. Education: Details not provided in text. Research: Develops fault-tolerant control systems for wind power conversion, PMSM drives, and grid-tied converters. Her work integrates predictive control algorithms with neural network diagnostics to enhance power system resilience. Awards: 2024 IEEE-CIEEC Best Paper Award 2023 Excellence Award in Teaching (Shandong Province) Multiple IEEE conference best paper awards Leadership: Serves on committees for IEEE conferences and promotes women in engineering through teaching excellence initiatives.

• Power Electronics
• Electromagnetic Compatibility (EMC)
• Renewable Energy Systems
• +4 more

Prof. Dr. Marco Chiado Caponet is a Professor of Power Electronics at Berlin University of Technology . His research focuses span power electronics, electromagnetic compatibility (EMC) , and wide bandgap (WBG) semiconductors for applications in electric vehicles , photovoltaic systems , and high-efficiency inverters . Education: Master's (1995) and Ph.D. (2000) in Electrical/Electronic Engineering from Polytechnic of Turin. Professional History: Developed power electronics at Prima Electronics (1996–1997), research assistant at Polytechnic of Turin (1997–1999), and visiting researcher at RWTH Aachen (1998–1999). Later served as Ministerial Official (2004–2008), Director of the Don Bosco Institute (2008–2014), and held professorships at RheinMain University of Applied Sciences (2014–2016), Ravensburg-Weingarten University (2015), Wismar University (2016–2020), and Berlin University of Technology (since 2020). Research Trends: Specializes in EMC-optimized inverter design , WBG semiconductor characterization (GaN/SiC), and thermal performance for industrial and traction applications. Publications highlight advancements in low-cost power factor correction , noise suppression , and high-efficiency photovoltaic inverters . Scientific Awards: IEEE Senior Member (2021) Advising: Offers thesis topics in DC/DC converters , WBG semiconductors , and renewable energy systems . No explicit student list provided.

• Power Electronics
• Electrical Engineering
• Model Predictive Control (MPC)
• +4 more

José Rodríguez is a Professor in the Department of Computer Science at CINVESTAV-IPN in Mexico City, Mexico. His research focuses on power electronics, model predictive control (MPC), renewable energy systems, and electric drives. He has collaborated extensively with researchers worldwide, contributing to advancements in energy transition technologies and grid integration strategies. His work emphasizes improving efficiency, reducing computational complexity, and enhancing reliability in power conversion systems. Key areas of expertise include fault diagnosis in rotating machinery, optimization of photovoltaic systems, and the development of advanced control algorithms for electric drives and converters. Rodríguez has authored over 200 peer-reviewed publications, with a strong presence in top-tier journals like IEEE Transactions on Industrial Electronics and IEEE Access . His recent work explores hybrid models (e.g., CWT-LeNet-5-LSTM) for fault detection, low-cost sensor integration, and data-driven predictive control techniques. He also investigates multilevel inverter topologies and grid-connected converter systems, addressing challenges like transient DC offset mitigation and harmonic distortion reduction. Rodríguez’s contributions span both theoretical and applied research, bridging the gap between control systems and practical energy solutions. His interdisciplinary approach combines machine learning, optimization algorithms, and traditional engineering principles to tackle modern energy challenges.

• Electric Machines
• Power Electronics
• Drive Systems
• +3 more

Prof. Dr.-Ing. Bernd Ponick serves as Executive Director of the Institute of Drive Systems and Power Electronics at Leibniz University Hannover, within the Faculty of Electrical Engineering and Computer Science. He holds a professorship in the Electrical Machines and Drive Systems section and is a member of the Leibniz Research Centre Energy 2050. His roles include participation in the Faculty Council and representation on behalf of professors within the faculty. His research focuses extensively on electric drive systems, power electronics, and advanced motor design, with particular emphasis on vibration reduction, bearing current analysis, and high-efficiency energy conversion. Notable areas include superconducting wind generators, airborne wind energy systems, and electrified aircraft propulsion. His work integrates multidisciplinary approaches, combining analytical modeling (e.g., beam element methods) with experimental validation for precision in design and performance optimization. Recent publications highlight contributions to topics such as self-sensing induction machines, common-mode current mitigation, and additive manufacturing in synchronous reluctance rotors. His research also addresses challenges in aviation electrification, including thermal management and insulation reliability for high-voltage systems. Prof. Ponick collaborates closely with the Leibniz Research Centre Energy 2050, focusing on sustainable energy systems and advanced drive technologies. While no specific grants or advisees are explicitly listed, his involvement in institutional committees underscores his leadership role in academic and research governance.

Gerd GriepentrogView profile

Professor

• Power Electronics
• Electric Drives
• Renewable Energy Systems
• +4 more

Prof. Gerd Griepentrog is a Full Professor at TU Darmstadt's Institute for Power Electronics and Control of Drives. Previously, he held leadership roles at Siemens AG's Corporate Technology division (2002–2013). His research focuses on power electronics, electromagnetic compatibility, and grid stability in high-frequency converter systems. Key interests include active power filters, common-mode noise mitigation, and advanced modulation techniques for motor drives. Education: Ph.D. in Automation and Power Engineering (1993–1996), TU Chemnitz Diploma in Automation and Power Engineering (1988–1993), TH Zwickau/Chemnitz Research Interests: Development of high-efficiency power electronic converters EMC solutions for industrial drives and renewable energy systems Integration of Industry 4.0 communication protocols (e.g., OPC UA) in drive systems Cybersecurity analysis of power grids via harmonic distortion patterns Recent Work Trends: Focus on SiC and GaN semiconductor applications for high-frequency converters Advancements in common-mode voltage reduction techniques Hybrid EMI filtering strategies combining capacitors and active components Awards: None explicitly listed. Grants & Labs: Active in collaborative projects involving fusion reactor power supplies (e.g., ASDEX Upgrade). Leads experimental work on supercapacitor-based pulsed power systems for tokamaks.

• Automotive Electronics
• Battery Systems
• Impedance Spectroscopy
• +3 more

Peter Haußmann is a professor at the Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum, leading the Automotive Electronics Research Group within the Electronic Circuits department. His work focuses on advanced automotive battery systems and impedance spectroscopy. Research interests include Impedance spectroscopy for battery diagnostics Sensorless temperature monitoring in electric vehicles Electrochemical aging analysis of Li-ion cells High-performance battery emulation systems Recent publications highlight his expertise in broadband impedance measurements, thermal modeling, and safety monitoring for automotive batteries. Contact details: peter.haussmann@est.rub.de , room ID 03/348, phone (+49)(0)234 / 32 - 23555.

• Smart Materials
• Dielectric Elastomer Actuators
• Shape Memory Alloys
• +7 more

Gianluca Rizzello is a Junior Professor (equivalent to Assistant Professor) at Saarland University, where he leads the Adaptive Polymer Systems (APS) research group. He is affiliated with the Department of Mechatronics and Smart Systems within the College of Engineering and Informatics. His research focuses on smart materials, particularly dielectric elastomer actuators and shape memory alloys, with applications in soft robotics, energy harvesting, and intelligent mechatronic systems. His research interests include the mathematical modeling, simulation, and control of complex smart material systems. He specializes in self-sensing algorithms, hysteresis modeling, and energy-efficient actuation strategies. His work bridges the gap between theoretical models and practical implementation, enabling next-generation intelligent devices. Key research themes include soft robotics , multifunctional actuators , sensorless control , and energy-based modeling . The trend in his recent publications shows a strong emphasis on self-sensing and model-based control of dielectric elastomer systems, with increasing integration into soft robotic platforms. His work spans from fundamental material modeling to system-level design and experimental validation. He frequently publishes in top-tier journals such as IEEE Transactions on Robotics , Smart Materials and Structures , and Mechatronics . He actively supervises students and collaborates with researchers including Prof. Stefan Seelecke and Dr. Paolo Motzki. His team has developed novel actuator concepts, control strategies, and applications in audio-tactile interfaces and biomedical devices. He has contributed to book chapters on smart materials and holds a patent for an audio-tactile transducer device based on dielectric elastomers. His editorial contributions include works on shape memory alloys and smart materials for mini-actuators.

• Electric/Hybrid Drive Systems
• Sensorless Speed Control
• Power Electronics Modulation
• +3 more

Prof. Michael Bierhoff is a Professor at Stralsund University of Applied Sciences, affiliated with the Faculty of Electrical Engineering and Computer Science. His primary department is the Department of Electrical Machines, Drives, and Power Electronics. He specializes in technology transfer and applied research in electromechanical systems. Research Focus: Design and optimization of electric/hybrid drive systems Modulation methods for self-commutated power converters Sensorless speed control of electric drives Renewable energy conversion systems (Photovoltaics, Wind Energy) Services & Equipment: Consulting on electric drive design and renewable energy systems Laboratory setup includes photovoltaic simulators, UPS systems, and diesel generator models Development software for PV and hybrid energy systems No scientific awards or listed publications were explicitly mentioned in the provided texts. No student advisees or grant information was disclosed.

Gernot SchullerusView profile

Professor

• Electrical Drives
• Power Electronics
• Motion Control
• +7 more

Prof. Dr.-Ing. Gernot Schullerus is a W2-Professor for Electrical Drives at the Faculty of Engineering, Reutlingen University, where he has been employed since September 2010. He currently serves as the Collegial Head of the Electronics & Drives Research and Teaching Center since March 2023 and will assume the scientific leadership of the Reutlingen Research Institute starting September 2024. His office is located in Building 2, Room 018, and his office hours are Tuesdays from 8:00 to 9:00 AM. Professor Schullerus completed his doctorate at the University of Karlsruhe (TH) in 2004. His academic and professional journey includes: 2004: PhD (Dr.-Ing.) at University of Karlsruhe (TH) January 2004 - August 2010: Development Engineer, Electronics Development, SEW-EURODRIVE, Bruchsal September 2010 - present: W2-Professor for Electrical Drives, Faculty of Engineering, Reutlingen University March 2023 - present: Collegial Head of the Electronics & Drives Research and Teaching Center September 2024 - present: Collegial Scientific Head of the Reutlingen Research Institute Professor Schullerus specializes in electrical drive technology and power electronics. His research focuses on new motor concepts, particularly harmonically excited synchronous machines, power electronic components for drive applications, and inverters using gallium nitride power switches. He investigates sensorless operation of switched reluctance machines and energy-efficient control of rotating field machines. His work extends to condition monitoring and predictive maintenance in drive systems, with recent emphasis on green hydrogen production and flexible hydrogen logistics. The Reutlingen Research Institute under his leadership explores decentralized energy systems and energy efficiency. His recent publications demonstrate a strong focus on power electronics innovations, particularly with gallium nitride technology, and applications in energy systems. Key trends include advanced modulation techniques for power converters, optimization of PCB layouts for high-power applications, and the integration of renewable energy with hydrogen production systems. His work bridges theoretical control concepts with practical industrial applications, particularly in drive systems and energy conversion. Professor Schullerus leads the Electronics & Drives research group at Reutlingen University, which is actively involved in multiple research projects. Current projects include CleMoSy (Clean Motor Supply), Trusted Handling (Predictive Maintenance for roller chains), H2FLEX (Flexible Interoperable Hydrogen Logistics), and the Model Region Green Hydrogen: Lighthouse H2-Grid (Networking decentralized hydrogen production and consumption). Previously, he has led projects on modular scalable power electronics based on gallium nitride components, dynamically energy-efficient operation of induction machines, and model-based hierarchical condition monitoring. His laboratory facilities include the Electrical Drives Laboratory and the Laboratory for Control and Drive Technology, where his team focuses on optimal control/regulation and diagnosis of drive and grid converters. The research environment supports both fundamental investigations and applied industrial projects, with strong connections to industry partners in the drive technology sector.

Zhenbin ZhangView profile

Professor

• High-power offshore wind energy conversion
• Motor drives
• Hybrid microgrids
• +2 more

Zhenbin Zhang is a full professor and institute director at Shandong University in Jinan, China. He holds prestigious fellowships including IET Fellow and IEEE Senior Member status, and has been recognized in Stanford University's 'Lifetime Scientific Impact List' for top 2% scientists globally. Research Focus: Renewable energy conversion systems Key Areas: Offshore wind energy, power electronics, microgrids, predictive maintenance His work spans high-power wind turbine control systems, hybrid microgrids, and intelligent power conversion technologies. Recent publications demonstrate expertise in distributed control architectures, predictive maintenance algorithms, and advanced converter topologies. Scientific accolades include: 2024: Science and Technology Innovation Award (China Power Supply Society) 2024: Gold Award, Geneva International Exhibition of Inventions 2018: National Distinguished Expert (China's 1000 Talents Program) 2017: VDE-Award-2017 (Germany) He has received multiple best paper awards and holds 25 conference best paper/presentation prizes. His research has been cited over 200 times for key works in wind energy conversion and power electronics.

Matthias NienhausView profile

Professor

• Electric Drives
• Active Magnetic Bearings
• Sensorless Control
• +7 more

Prof. Dr.-Ing. Matthias Nienhaus is a full Professor at Saarland University, serving as the Chair of Drive Technology within the Faculty of Engineering. He leads a research group focused on advanced drive systems, including active magnetic bearings, sensorless control, and electromechanical design. His teaching includes courses such as Drive System Technology - Components , and he supervises student theses in mechatronic systems. University: Saarland University School: Faculty of Engineering Position: Professor and Chair Holder Research Focus: Electric Drives, Magnetic Bearings, Sensorless Control His research interests lie in the development and optimization of mechatronic drive systems, particularly in the areas of active magnetic bearings (AMBs), sensorless position detection, and control strategies for electric motors. He investigates novel control methods such as sliding-mode and super-twisting control, as well as applications in Vernier motors and Foucault pendulum drives. His work integrates modeling, simulation, and experimental validation. The recent publications highlight a strong trend in control engineering for magnetic bearings, emphasizing robustness, sensorless operation, and optimization techniques. These works apply advanced control algorithms like particle swarm optimization and super-twisting sliding mode control to improve stability and performance in high-precision drive systems. Prof. Nienhaus actively supervises student research and final theses, guiding projects in areas such as torque motor test benches, electromagnetic actuators, and optimization of electric machines. While no specific grants are listed, his work implies ongoing research funding through university and likely national or industrial sources. He leads the Drive Technology research group (Lehrstuhl für Antriebstechnik) at Saarland University, which includes scientific staff and alumni working on cutting-edge topics in electric drives and mechatronics. The team utilizes simulation tools like Comsol Multiphysics and Ansys Maxwell, and develops embedded control systems for experimental validation.

Norbert KlaesView profile

Professor

• Electrical Engineering
• Power Electronics
• Energy Storage Systems
• +3 more

Prof. Dr.-Ing. Norbert Klaes is a faculty member at HTW Berlin in the Department of Electrical Engineering. With a focus on electrical machines and power electronics, his research spans sensorless control systems, grid-forming technologies, energy storage, and industrial automation. He has contributed to 15 publications, 3 patents, and 21 research projects. Professor for Electrical Machines and Power Electronics Laboratory Manager for Electrical Engineering (B) and Laboratories units Member of Department 1: Engineering - Energy and Information Council Research Areas: Drives: Sensorless control of IPMSM/IM, grid-forming control of doubly-fed induction machines, high-dynamic torque control Power Electronics: Grid-connected inverter control, programmable gate drivers, IGBT/MOSFET optimization Energy Storage: Battery management systems, SOC/SOH estimation, package design Awards: Recipient of 2 institutional prizes/awards Industrial production achievements recognition

Paul MotzkiView profile

Professor

• Smart Materials
• Mechatronic Systems
• Shape Memory Alloys (SMA)
• +5 more

Prof. Dr.-Ing. Paul Motzki holds the professorship ' Smart Material Systems for Innovative Production - SMiP ' at Saarland University (Department of Systems Engineering) and leads the research area ' Smart Material Systems ' at ZeMA - Center for Mechatronics and Automation Technology gGmbH . His work focuses on smart materials like shape memory alloys (SMA) and electroactive polymers (EAP), which exhibit property changes under external stimuli (electric fields, temperature) to enable energy-efficient systems such as self-sensing actuators, soft robotics, and smart textiles. Research Themes : Bio-inspired actuation, elastocaloric cooling, self-sensing technologies, and industrial automation. Scientific Trends : Recent publications emphasize advancements in dielectric elastomer actuators (DEAs), SMA-driven robotics, thermal management in smart materials, and predictive modeling for industrial applications. Key subfields include triply periodic minimal surfaces for elastocalorics, hybrid actuator systems, and textile-integrated feedback mechanisms. Labs & Collaborations : Research is conducted in collaboration with ZeMA, leveraging joint appointments under the Thuringian Model. Key projects involve energy-efficient grippers, soft robotic modules, and medical devices.