Find Academic Supervisors

• Magnetism
• Coherent X-Ray Imaging
• Topological Magnetic States
• +3 more

Prof. Dr. Felix Büttner is a Professor (W2) of Experimental Physics V at the University of Augsburg, where he leads research in magnetism and coherent X-ray imaging. He also serves as a Joint Research Group Leader at Helmholtz-Zentrum Berlin. Prior to his current position, he was a Helmholtz Young Investigator Group Leader at Helmholtz-Zentrum Berlin and University of Potsdam (2020-2022), and a Postdoctoral researcher at the Massachusetts Institute of Technology (2015-2020). Education: Diploma of Physics, University of Göttingen, 2010 PhD in Physics, University of Mainz, 2013 Prof. Büttner's research focuses on cutting-edge developments in magnetism and coherent X-ray imaging . His work centers on developing methods for ultrahigh resolution (both spatial and temporal) coherent x-ray imaging, with particular emphasis on magnetic systems under operando conditions. He investigates the physics of topological magnetic states, including their stability and dynamics, with special attention to chiral magnetic materials in thin film heterostructures. His research also encompasses spin-orbit torques, micromagnetic modeling, and the integration of these technologies into practical devices. Analysis of Prof. Büttner's recent publications reveals a strong focus on magnetic skyrmions, coherent X-ray imaging techniques, and the development of advanced magnetic materials. His work spans from fundamental studies of magnetic domain walls to practical applications in data storage and spintronic devices. Notably, his team has achieved significant breakthroughs in high-resolution magnetic imaging, including coherent x-ray magnetic imaging with 5 nm resolution. Prof. Büttner leads an active research group with numerous collaborators across Germany and internationally. His work has resulted in publications in top-tier journals including Nature Nanotechnology, Nature Materials, and Physical Review Letters, demonstrating both fundamental insights and potential technological applications. Prof. Büttner's laboratory at the University of Augsburg collaborates extensively with major synchrotron facilities and research centers, particularly Helmholtz-Zentrum Berlin, to advance the field of magnetic imaging and manipulation. His research bridges fundamental physics with potential applications in next-generation data storage and spintronic technologies.

Nigel JiwanView profile

Assistant Professor

• Muscle physiology
• Sports nutrition
• Resistance training
• +5 more

Nigel Jiwan serves as Assistant Professor of Kinesiology at Hope College, joining the faculty in fall 2024. His research program investigates the intersection of nutritional interventions, exercise modalities, and physiological responses in diverse populations. His educational credentials include: Ph.D. in Exercise Physiology from Texas Tech University (2024) M.S. in Exercise Science from Texas State University (2020) B.S. in Physical Therapy from Manipal Academy of Higher Education (2018) Dr. Jiwan's research spans muscle physiology, sports nutrition, resistance training methodologies, and physical modalities with emphasis on hydration dynamics, diabetic pathophysiology, and sex-specific responses. His work bridges laboratory findings with practical applications for athletic performance enhancement and clinical rehabilitation protocols, particularly examining how natural compounds like curcumin and ginger influence muscle recovery and adaptation. Analysis of his 13 publications (2020-2025) reveals three dominant research trajectories: innovative hydration assessment tools (including the WUT Venn Diagram), molecular mechanisms of muscle atrophy in diabetic models, and sex-dimorphic cellular responses to exercise-induced damage. His work frequently employs both human clinical trials and rodent models, with growing emphasis on translational applications for diabetic populations and heat-exposure scenarios. His scientific recognition includes: Graduate Student Research Support Award, Texas Tech University (2024) William Galey Teaching Scholarship Award, American Physiological Society (2024) Doctoral Student Research Development Grant, Texas American College of Sports Medicine (2023) Mortar Board Apple Polishing Award, Texas Tech University (2023) Helen Devitt Jones Fellowship, Texas Tech University (2020-2023) Outstanding Graduate Student Nominee, Texas State University (2020) Dr. Jiwan secured competitive research funding during his doctoral studies including the Texas ACSM Doctoral Student Research Development Grant (2023). As a new faculty member at Hope College, he is establishing his research program with anticipated focus on expanding hydration assessment methodologies and investigating nutritional countermeasures for exercise-induced muscle damage in clinical populations, while mentoring undergraduate researchers in kinesiology.

• Mechatronic Simulation
• Virtual Sensing
• Flexible Multibody Simulation
• +3 more

Frank Naets is a Senior Lecturer at the Department of Mechanical Engineering , part of the Faculty of Engineering Sciences at KU Leuven . He contributes to the Mechatronic System Dynamics (LMSD) research group and is affiliated with divisions including the Dynamics Division, DYNA Subdivision, and Leuven.AM – KU Leuven Institute for Additive Manufacturing. His roles span teaching, research coordination, and membership in academic councils like the Faculty Council of Engineering Sciences and Departmental Council of Mechanical Engineering. Research Areas: Mechatronic Simulation, Virtual Sensing, Flexible Multibody Dynamics, Nonlinear Model Order Reduction His research focuses on system-level modeling of mechatronic systems, integrating virtual sensing and digital twin technologies for force estimation, vibration analysis, and structural monitoring. Key applications include electric vehicle drivetrains , hydrogen fuel cells , and rotary machinery . Recent projects highlight his expertise in sensor placement algorithms , Kalman-based state estimation , and experimental validation of material properties. He supervises students like Alessandro Zucchini and Raffaele De Gregoriis while collaborating on international conferences such as ECCOMAS Multibody 2025 and NVHH 2025.

Jian-Ping WangView profile

Professor

• Nanomagnetism
• Quantum Spintronics
• Magnetic Materials
• +5 more

Jian-Ping Wang is a Distinguished McKnight University Professor and holds the Robert F. Hartmann Chair in the Department of Electrical and Computer Engineering at the University of Minnesota's College of Science and Engineering. His research group, the Nanomagnetism and Quantum Spintronics Lab (Nanospin), is actively engaged in cutting-edge research at the intersection of nanomagnetism, spintronics, and biomedical applications. Professor Wang's research interests span a broad spectrum of nanomagnetic and quantum spintronic phenomena. His work focuses on developing novel magnetic materials with extremely high magnetic anisotropy, giant saturation magnetization, high spin polarization ratio, and large spin-orbit torque. His group investigates applications of these materials in next-generation information storage and computing, biomedical technologies including disease early detection and neuron stimulation, and green energy solutions. Specific research programs include studying L1 0 -FePd materials for scalable spintronics, developing synthetic antiferromagnetic magnetic tunnel junctions, and exploring voltage control of magnetic properties for energy-efficient devices. Analysis of Professor Wang's recent publications reveals a strong emphasis on spin-orbit torque phenomena, voltage-controlled magnetism, and biomedical applications of magnetic nanoparticles. His work bridges fundamental physics with practical applications, particularly in developing energy-efficient spintronic memory and logic devices, magnetic particle imaging for biomedical diagnostics, and micromagnetic neurostimulation technologies. The research shows increasing interdisciplinary collaboration, particularly with neuroscience and biomedical engineering fields. Distinguished McKnight University Professor Robert F. Hartmann Chair NSF Graduate Research Fellowship (awarded to student Onri Jay Benally) Professor Wang has successfully advised numerous PhD students including Dr. Renata Saha (thesis on micromagnetic neurostimulation), Dr. Deyuan Lyu (thesis on advanced perpendicular magnetic tunnel junctions), and Dr. Jianxin Zhu (thesis on molecular dynamics simulation of magnetic thin films). His research is supported by substantial funding from multiple sources including the National Science Foundation, Department of Energy, Western Digital Corporation, and SRC, INC. Current projects include Minnealloy (Critical-Material-Free High-power High-Frequency Transformers), NSF-MeitY: Energy-efficient quantum materials based magnetic tunnel junctions, and Ni 4 W for Energy-Efficient, Field-Free and Ultra-Fast Switching SOT MRAM. Professor Wang leads the Nanomagnetism and Quantum Spintronics Lab (Nanospin), which is affiliated with multiple research centers including the C-SPIN Center, SMART Center, Spin Valley, and Minnesota NeuroSpin Initiative. His lab maintains strong collaborations across disciplines, particularly with neuroscience researchers for developing magnetic neurostimulation technologies and with materials scientists for developing novel magnetic materials. The research group actively participates in the broader spintronics community through these centers and initiatives.

• Musculoskeletal Biomechanics
• Orthopaedics
• Computational Modelling
• +5 more

David Saxby is an Associate Professor at Griffith University , affiliated with the School of Health Sciences and Social Work and the Griffith Centre of Biomedical and Rehabilitation Engineering (GCORE) . He co-founded the biomedical startup Ontic Ortho Solution Pty Ltd , focusing on high-fidelity orthopedic models for surgical training. His research spans musculoskeletal biomechanics , ACL injury , orthopedic implants , and computational modeling , with industry partnerships like Orthocell and VALD . He earned a PhD in Biomechanical Engineering from Griffith University (2016), preceded by an MSc in Biophysical Sciences (University of Ottawa, 2010) and BSc in Human Kinetics (University of Ottawa, 2008). A Graduate Diploma in Higher Education (2019) informs his teaching roles in Introductory Biomechanics (1008AHS) and Musculoskeletal Biomechanics (2007AHS). His research integrates computational neuromusculoskeletal modeling with wearable sensor technology to address orthopedic injuries , hip osteoarthritis , and spinal cord rehabilitation . Articles highlight applications of AI , finite element analysis , and digital twins in surgical planning and implant design. He has received awards including Early Career Researcher of the Year (2019), Publication of the Year (2016), and Research Team of the Year (2019). His 15 most recent articles focus on ACL mechanics , hip and knee joint forces , AI-driven biomechanical simulations , and pediatric orthopedic outcomes . As a supervisor , he has guided 15+ PhD and Masters students in areas like neuromusculoskeletal modeling , prosthetic design , and orthopedic diagnostics . His funded projects include $4.5M in grants from organizations like Arthritis Australia , Motor Accident Insurance Commission , and NHMRC , emphasizing precision rehabilitation and AI-enabled clinical tools .

Derong LiuView profile

Professor

• Adaptive Dynamic Programming
• Reinforcement Learning
• Intelligent Control
• +3 more

Derong Liu is a Full Professor at the University of Illinois Chicago (UIC) in the Department of Electrical and Computer Engineering, College of Engineering, and Director of the Computational Intelligence Laboratory. He concurrently serves as Chair Professor at Southern University of Science and Technology, China. He earned his Ph.D. from the University of Notre Dame (1994), M.Sc. from the Chinese Academy of Sciences (1987), and B.Sc. from East China Institute of Technology (1982). Dr. Liu leads research in adaptive dynamic programming, neural networks, intelligent control, and computational intelligence. His work bridges theoretical advancements with applications in smart grids, industrial process control, and biomedical systems. His publications (2012–2021) demonstrate a strong focus on adaptive dynamic programming, reinforcement learning, and neural network applications. Trends include robust control for uncertain systems, multi-agent game theory, energy optimization, and biomedical diagnostics, with consistent emphasis on stability and convergence guarantees. Awards & Honors: IEEE CIS Neural Network Pioneer Award (2022) INNS Gabor Award (2018) IEEE SMC Society Andrew P. Sage Best Transactions Paper Award (2018) Fellow of IEEE, INNS, IAPR, and Academia Europaea Highly Cited Researcher (Clarivate, 2017–present) He advises Ph.D. students in computational intelligence and has secured grants from NSF, General Motors, and UIC. As Director of the Computational Intelligence Laboratory, he oversees projects in learning systems and intelligent control. His lab collaborates globally with institutions like the Chinese Academy of Sciences.

• Electric drives
• Electrical machines
• Power converters
• +7 more

Gianmario Pellegrino is a Full Professor at the Department of Energy (DENERG) , Polytechnic of Turin, Italy. He leads the Power Electronics Innovation Center (PEIC) and serves on the PoliTO Spin-Off Evaluation Commission. His research focuses on electric drives, electrical machines, power converters, and sensorless control , with industry collaborations spanning automotive and aerospace sectors. Professor of Power Converters, Electrical Machines, and Drives IEEE Senior Member and Associate Editor for IEEE Transactions on Industry Applications Research Interests include: Finite element analysis for motor design Optimization algorithms in SyR-e open-source platform Thermal management of high-performance motors Sensorless control techniques Recent Publications highlight advancements in: Thermal transient modeling for supercars Data-driven multi-physics simulations Active fault-reaction strategies Scientific Recognition: IEEE Fellow (2022) for Synchronous Reluctance machine contributions Eight Best Paper Awards and ECCE Third Prize (2011) Advising: Supervises 10+ PhD students in electrical engineering, focusing on motor design and control. Labs: Leads PEEMD research group and contributes to PCIM Europe advisory board.

• Power Electronics
• Electrical Machines
• Electric Drives
• +3 more

Federica Graffeo is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino. She is affiliated with the College of Electrical and Energy Engineering and serves as an invited member in multiple engineering colleges. Teaches courses in Electrical Machines and Hybrid/Electric Propulsion Systems Coordinates academic activities across Mechanical, Mechatronic, and Electrical Engineering programs Her research focuses on Power Electronic Converters, Electrical Machines, and Drives , with particular emphasis on: Advanced control strategies for synchronous machines Efficiency optimization in electric drives Dynamic modeling and scaling procedures Superconducting and reluctance motor technologies Recent publications analyze superconducting machine windings, torque control systems, and efficiency mapping techniques. She supervises PhD candidate Edoardo Lagorio (40th cycle, Electrical/Electronics Engineering) and leads commercial research projects like the RULMECA HOLDING SPA contract on synchronous reluctance motors for conveyor systems.

• Automation and robotics
• Computational fluid dynamics (CFD)
• Droplets
• +7 more

Carmen Visconte is an Associate Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, where she is actively involved in robotics and fluid dynamics research. She is a member of the Interdepartmental Center for Service Robotics (PIC4SeR) and supervises PhD students in Mechanical Engineering and Robotics and Intelligent Machines programs at both Polytechnic University of Turin and the University of Genoa. Research Interests: Automation and Robotics Computational Fluid Dynamics (CFD) Fluid Flow and Transfer Processes Micromixers and Microfluidics Droplet Dynamics Mechanics Applied to Machines Her recent publications span both robotics and fluid mechanics, with a strong emphasis on service robotics for precision agriculture, wearable exoskeletons, omnidirectional mobility systems, and microscale fluid mixing. The research demonstrates a dual focus: advancing industrial and agricultural robotics, and optimizing fluidic systems for engineering applications. Scientific Projects: eXoft – Scientific Director of a PRIN-funded project on innovative soft-rigid exoskeletons for smart factories (2023–2025). TWIN-IT-ROMANS – Member of the research group in a Horizon Europe project on robotics manufacturing systems (2024–2027). Advising and Teaching: Carmen Visconte supervises multiple PhD students including Lorenzo Toccaceli, Simone Duretto, Lorenzo Baglieri, and Luigi Tagliavini. She is a course owner for Mechanics for Agriculture and collaborator for Mechanical System Dynamics in the Mechanical Engineering program. She also participates in degree program committees across Mechanical, Aerospace, and Energy Engineering. Laboratory and Research Groups: She is a core member of the Automation and Robotics research group at DIMEAS and contributes to the PIC4SeR center, focusing on applied robotics for service applications such as agricultural automation and assistive devices.

Jarl BeckersView profile

Research Fellow

• Compressors
• Piston Mechanics
• Kinematics
• +3 more

Jarl Beckers serves as an Unpaid employee and Applied Mechanics postdoctoral researcher at the Department of Applied Mechanics, Faculty of Engineering, Vrije Universiteit Brussel. His research focuses on advanced compressor technologies and mechanical system dynamics. His primary research interests include: Compressor mechanics and optimization Piston-crank mechanism dynamics Linear electromagnetic actuation systems Active vibration and ripple control Reciprocating machinery innovation Robotic assembly planning Analysis of Beckers' 13 research outputs (2020-2024) reveals strong concentration in mechanical engineering with emphasis on compressor technology evolution. His work bridges theoretical dynamics with practical implementation, particularly in distributed linear actuation systems for reciprocating compressors. Key themes include energy efficiency improvements, vibration suppression, and modular system design. Beckers participated in the Baekeland mandate project (2018-2022) focused on Modular Distributed Linear Electromagnetic Actuation for Reciprocating Compressors, collaborating with F. Contino and J. Van Mierlo. His research demonstrates consistent publication output with significant practical applications in industrial machinery.

• Electrical Engineering
• Automation
• Robotics
• +4 more

Marcin Kowol is a Professor in the Department of Drive Automation and Robotics at the Faculty of Electrical Engineering, Automation and Computer Science, Opole University of Technology. His academic role encompasses teaching, research, and departmental responsibilities within Poland's engineering education framework. Professor Kowol's research centers on advanced electromechanical systems with particular emphasis on magnetic gear technology and electric motor design. His work spans coaxial and axial flux magnetic gears for high-torque applications like telescopic camera cranes, switched reluctance motors for e-bikes, thermal modeling of electric machines, and additive manufacturing applications in electromechanical transducers. He integrates theoretical electromagnetic analysis with experimental validation to solve practical engineering challenges in robotics and renewable energy systems. His publications consistently address force characteristics, demagnetization risks, and performance optimization in magnetic transmission systems. Analysis of his 15 most recent publications reveals a dominant focus on magnetic gear innovation (60% of works), with significant contributions to electric motor design for sustainable transportation (27%) and thermal management systems (13%). The research demonstrates strong methodological continuity through finite element analysis, experimental validation, and optimization techniques applied across diverse applications from broadcasting equipment to electric bicycles. Scientific Awards: No specific awards or honors were documented in the available institutional records. While the provided materials do not specify doctoral advisees or grant awards, Professor Kowol's extensive publication record spanning 23 years suggests active supervision of graduate students and participation in research projects. His department's involvement in technology transfer initiatives indicates potential industry collaborations, though specific funding sources remain undocumented in the current materials. As a core faculty member of the Department of Drive Automation and Robotics, Professor Kowol contributes to the unit's research ecosystem which includes the Technology Transfer Center and specialized laboratories for electromagnetic systems testing. His work aligns with the department's strategic focus on automation technologies, robotics integration, and renewable energy applications within the broader faculty structure.

Michael WengerView profile

Professor

• Cognitive Psychology
• Cellular and Behavioral Neurobiology
• Iron deficiency and brain health
• +7 more

Dr. Michael Wenger is a Professor in the Department of Psychology at the University of Oklahoma's Dodge Family College of Arts and Sciences. His research focuses on the intersection of cognitive psychology and cellular neurobiology, particularly examining how nutritional factors like iron deficiency impact cognition and brain health. His work spans three primary research questions: (1) the effects of iron deficiency on cognition and brain dynamics in women, (2) perceptual learning mechanisms and their potential to mitigate biases like the 'other race effect', and (3) the combined impact of type 2 diabetes and retinopathy on facial perception. These studies integrate behavioral assessments with advanced neuroscience techniques such as EEG, MRI, and computational modeling. The OU Visual Neuroscience Laboratory, directed by Dr. Wenger, collaborates with the Computational Neuromaging and Neuroengineering Laboratory (Dr. Lei Ding) and the Brain and Biomarker Laboratory (Dr. Lauren Ethridge). His recent publications emphasize multimodal approaches to quantify neural efficiency, cognitive workload, and perceptual biases using electrophysiological and behavioral data. Dr. Wenger actively recruits graduate students in Cognitive Psychology and Cellular and Behavioral Neurobiology for the Fall 2025 - Spring 2026 academic cycle, emphasizing interdisciplinary research combining psychology, neuroscience, and nutritional science.

Andreas NicolaView profile

Professor

• Machine Learning
• Prognostics and Health Management
• Wind Power Systems
• +3 more

Andreas Nicola is a Professor and current Head of the Institute of Machine Components . His work focuses on integrating Artificial Intelligence and Machine Learning into Prognostics and Health Management (PHM) systems for industrial and wind power drives. Research highlights include: Developing AI-driven strategies for early pitting damage detection in gearboxes Implementing adaptive operating strategies to extend the remaining useful life of wind turbine components Systematic Design of Experiments (DOE) to correlate sensor data with damage progression Multi-sensor data acquisition combining vibration , torque , and speed measurements His team's work on AI-based condition monitoring has direct applications in offshore wind energy systems, where minimizing downtime and ecological footprints is critical. Contact: Phone +49 711 685 66532 | Room 2.129, Pfaffenwaldring 9, 70569 Stuttgart, Germany

Xiaobo Sharon HuView profile

Professor

• Circuit Design
• Architecture Design
• Energy-Aware Systems
• +7 more

Xiaobo Sharon Hu is the Leo E. and Patti Ruth Linbeck Professor of Engineering in the Department of Computer Science and Engineering with a concurrent appointment in the Department of Electrical Engineering at the University of Notre Dame. She currently serves as a Program Director at the National Science Foundation (since November 2022) while maintaining her faculty position at Notre Dame. Her research focuses on circuit and architecture design with emerging technologies, energy and reliability aware system design, and resource management for real-time embedded systems. Her work spans processing-in-memory architectures, secure hardware design, and real-time scheduling theory. Her research benefits from close collaborations with device experts and has resulted in over 450 referred publications. Professor Hu's recent publications demonstrate strong activity in compute-in-memory architectures, secure hardware design, and real-time wireless networking. Her work bridges the gap between circuit design and system-level considerations, particularly focusing on energy efficiency and security. She has made significant contributions to elastic scheduling theory and has been instrumental in connecting the real-time systems community with the design automation community. Her scientific achievements have been recognized with numerous awards: 2024 IEEE TCRTS Outstanding Technical Achievement and Leadership Award Fellow of the Association for Computing Machinery (ACM) 2023 IEEE/ACM William J. McCalla ICCAD Best Paper Award 2023 Marie R. Pistilli Women in Engineering Achievement Award Best Paper Awards from ISLPED (2018), NanoArch (2009), and DAC (2001) NSF CAREER Award (1997) Professor Hu has mentored numerous graduate and undergraduate students throughout her career, with many alumni now holding positions at leading technology companies including Apple, Amazon, Google, IBM, and Qualcomm. She has served in significant leadership roles including Editor-in-Chief of ACM Transactions on Design Automation of Electronic Systems (2020-2024), General Chair of DAC 2018, and Technical Program Chair of IEEE Real-Time Systems Symposium 2019.

• Computer Graphics
• Physically Based Animation
• Motion Capture
• +4 more

Paul G. Kry is an Associate Professor in the School of Computer Science at McGill University, where he leads the Computer Animation and Interaction Capture Laboratory. His research focuses on physically based animation, computer graphics, and human motor control, with applications in video games, movies, training simulations, ergonomics, and robotics. He teaches graduate and undergraduate courses including COMP 557 (Fundamentals of Computer Graphics) and COMP 559 (Fundamentals of Computer Animation). Dr. Kry's research interests center on computer graphics, physically based animation, skin deformations of articulated characters, motion capture, interaction, and physically based modeling of humans and animals. He investigates human and animal motor control (locomotion, grasping, manipulation) in combination with the physics of rigid objects, deformation, and contact. His work emphasizes the combination of real-world measurements, approximate models, and physically based simulation, with additional interests in machine learning, numerical methods, and audio. His recent publications demonstrate strong trends in physically based animation, with focus areas including adaptive simulation techniques, real-to-sim calibration, constraint-based physics, neural network applications in graphics, and motion control policies. His work spans both theoretical foundations and practical applications, often bridging the gap between computer graphics and robotics. BEST PAPER at Graphics Interface, 2023 BEST STUDENT PRESENTATION at ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2019 BEST PAPER at Computational Aesthetics / Expressive, 2016 Dr. Kry actively supervises numerous PhD and MSc students, with many graduates going on to positions at leading companies including Ubisoft, Google, Facebook, and Autodesk. He has served on program committees for major conferences including ACM SIGGRAPH, Symposium on Computer Animation, and Graphics Interface. His lab maintains specialized equipment including a 24-camera motion capture system, force plates, consumer DSLR cameras, high-speed cameras, data gloves, quadrotor robots, and various pressure sensors.