Find Academic Supervisors

David NoyceView profile

Professor

• Transportation Safety
• Traffic Operations
• Vehicle-to-Infrastructure Communication
• +5 more

David Noyce is a Professor and Executive Director of the Traffic Operations and Safety (TOPS) Laboratory at the University of Wisconsin-Madison's Department of Civil & Environmental Engineering. He also serves as Associate Director of the Safety Research Using Simulation (SaferSIM) Center, a University Transportation Center. His work focuses on transportation safety, traffic operations, and automated/connected vehicle systems. Key roles include leading over $35M in research since 2003 through the TOPS Lab and advancing technologies like V2V/V2I communication, winter maintenance strategies, and work zone safety. Education: PhD (Texas A&M, 1999), MS (Civil Engineering, UW-Madison, 1995), MBA (UW-Whitewater, 1994), BS (UW-Madison, 1984). Research interests span traffic control devices, driver behavior analysis, crash reconstruction, and multi-modal transportation systems. He pioneered the national implementation of flashing yellow arrow signals and developed the Wisconsin Connected and Automated Transportation Consortium. Current projects include C-V2X localization frameworks, automated vehicle safety testing, and winter maintenance efficiency. Recognized with 20+ awards, including ITE and ASCE Fellowships and the Dr. Arthur F. Hawnn Professorship. His labs offer full-scale driving simulators and field-testing capabilities for real-world validation of innovations.

Frede BlaabjergView profile

Professor

• Power Electronics
• Wind Turbines
• Photovoltaic (PV) Systems
• +6 more

Frede Blaabjerg is a Professor at Aalborg University (AAU Energy) , affiliated with the Faculty of Engineering and Science . Since 1998, he has pioneered power electronics research in applications such as wind turbines , photovoltaic (PV) systems , reliability engineering , and Power-2-X technologies. Education : PhD in Electrical Engineering (1995, Aalborg University) Honorary Degrees : Honoris Causa at University Politehnica Timisoara (2017) and Tallinn Technical University (2018) His research focuses on power electronics control , system optimization , and reliability for renewable energy and electric mobility . Recent work includes grid-forming converters , virtual synchronous generators , and smart EV charging systems. Key publication trends span 15+ years , with over 3,733 peer-reviewed articles and 900+ journal papers in power electronics , renewables , and energy storage . Notable book series: Control of Power Electronic Converters and Systems (4 volumes, Elsevier). Scientific Awards : 46 IEEE Prize Paper Awards 2020 IEEE Edison Medal 2019 Global Energy Prize 2014 IEEE William E. Newell Power Electronics Award Leadership Roles : Editor-in-Chief, IEEE Transactions on Power Electronics (2006–2012) Chairman, Danish Council for Research and Innovation Policy (2020–) President, IEEE Power Electronics Society (2019–2020)

Adam KellyView profile

Associate Professor

• Youth Sport Development
• Talent Identification
• Athlete Development
• +4 more

Adam Kelly serves as Associate Professor of Sport and Exercise and Course Leader for the Professional Doctorate in Sport (DSport) at Birmingham City University's Faculty of Health, Education and Life Sciences. He directs the BCU Research for Athlete and Youth Sport Development (RAYSD) Lab and holds accreditations as Senior Fellow of the Higher Education Academy (SFHEA), BASES CSci, and FA UEFA A Licenced Coach. His educational foundation includes a PhD from the University of Exeter, built upon seven years as Head of Academy Sport Science at Exeter City Football Club following his non-league playing career. Professor Kelly's research critically examines organizational structures in youth sport to optimize athlete development pathways and foster inclusive environments. His work spans cricket, rugby, soccer, squash, and swimming, with emphasis on talent identification systems, relative age effects, and equity in sport. International collaborations with partners like Queen's University (Canada) and global sports organizations drive practical applications for evidence-based policies. Analysis of his 100+ publications reveals sustained focus on relative age effects across sports (2022-2025), evolving toward actionable interventions like birthday-banding and flexible chronological approaches. Recent work increasingly addresses inclusivity for underrepresented groups in cricket/soccer and post-pandemic adaptation strategies. His scientific recognition includes: Senior Fellow of the Higher Education Academy (SFHEA) Professor Kelly mentors four embedded PhD students (Shanmugaratnam, Lux, Shafi, Green) within FIFA/ECB/KNVB projects while having graduated five PhDs now in prominent roles. His £1m+ research funding supports industry-academia partnerships that transform talent development practices globally. The RAYSD Lab under his leadership facilitates transnational knowledge exchange through initiatives like the HELS Go Abroad Scheme, connecting UK students with Canadian researchers while driving real-world impact through projects like the BESTA Cricket Partnership and KNVB Relative Age Solutions.

• Mechanical Engineering
• Vibration Analysis
• Rotordynamics
• +3 more

Sampo Laine is a Visiting Professor at the Department of Energy and Mechanical Engineering at Aalto University, with affiliations in Mechatronics. His expertise focuses on vibration analysis, rotordynamics, and powertrain systems, contributing to the UN Sustainable Development Goals related to Industry, Innovation, and Infrastructure (SDG 9). He holds a Doctor of Science (Tech) in Mechanical Engineering (2025), a Master of Engineering (2021), and a Bachelor of Engineering (2020), all from Aalto University. His research explores lateral and torsional vibrations in rotating machinery, electromagnetic influences on torsional systems, and vibration mitigation through active control strategies. Notable contributions include the OpenTorsion Python library for torsional vibration analysis and studies on semi-active foundation stiffness control in rotor systems. His work bridges mechanical design, digital twin technology, and collaborative engineering practices. Laine’s publications span topics such as wire rope isolators, aerostatic measurement systems, and dynamic modeling of coupled electromechanical systems. His research emphasizes practical applications in industrial machinery, automotive powertrains, and manufacturing processes. Collaborations have addressed challenges in winder dynamics, paperboard quality assessment, and roll geometry optimization. No scientific awards are explicitly listed in the provided materials. His advising and grants focus on doctoral research in mechanical systems, with a recent doctoral thesis titled Lateral and torsional vibrations in variable speed rotating machinery (2025). He is affiliated with Aalto’s Mechatronics and Energy Engineering research groups, contributing to interdisciplinary projects in vibration analysis and automated design methodologies.

Guillermo GallegoView profile

Professor

• Robotics
• Computer Vision
• Event-based Vision
• +5 more

Guillermo Gallego is a Professor of Robotic Interactive Perception at the Faculty of Electrical Engineering and Computer Science , Technische Universität Berlin , holding the Einstein Center Digital Future (ECDF) Professorship since 2019. His research bridges robotics , computer vision , and applied mathematics , focusing on optimization methods for interdisciplinary imaging and control problems. Education : PhD in Electrical and Computer Engineering (Georgia Tech, 2011), MS in Mathematics (Georgia Tech, 2009), MS in Electrical Engineering (Georgia Tech, 2007), MS in Mathematical Engineering (Universidad Complutense de Madrid, 2005). Gallego's work explores event-based vision to enhance robot perception through low-latency sensing and real-time 3D reconstruction . He previously held postdoctoral positions at the Institute of Neuroinformatics (University of Zurich/ETH Zurich) and Technical University of Madrid (Marie Curie Experienced Researcher). His interdisciplinary projects span applications in ocean remote sensing , autonomous driving , and space exploration . Key scientific awards include the Fulbright Fellowship (2005-2010) and Marie Curie Experienced Researcher (2011-2014). His recent publications focus on event camera algorithms for optical flow , SLAM , and noise estimation , reflecting his leadership in event-based vision research. Collaborations include institutions like University of Zurich , Georgia Tech , and University of Pennsylvania . Research Grants : Funded through ECDF and Marie Curie programs. Labs : Affiliated with the Einstein Center Digital Future and Institute of Neuroinformatics (Zurich/ETH Zurich).

Ian BrownView profile

Professor

• Energy Conversion
• Electric Machines
• Adjustable Speed Drives
• +6 more

Ian Brown is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology, part of the Armour College of Engineering. He holds a Ph.D. (2009), M.S. (2003), and B.S. (1999) in Electrical and Computer Engineering from the University of Wisconsin-Madison and Swarthmore College. His research focuses on energy conversion, electric machines, and renewable energy systems, with emphasis on sensorless control, machine design optimization, and traction motor development for electric vehicles. He has extensive industry experience as a principal engineer at A.O. Smith, contributing to electric machine and drive technologies. Research interests include adjustable speed drives, high-power density motors, and applications in sustainable energy. He has advised multiple graduate students and published over 50 peer-reviewed articles in IEEE Transactions and conferences. His recent work explores superconducting circuit breakers, thermal management systems, and advanced winding designs to minimize harmonic distortions. Brown's contributions bridge academic research with industrial applications, particularly in improving energy efficiency and reliability in power conversion systems. He is affiliated with the IEEE and has contributed to journal editorials on electric machines in renewable energy. His lab focuses on experimental prototyping and simulation-driven optimization of electric drives. Current projects include developing brushless capacitive excitation systems for traction motors and analyzing driving cycle-based machine design optimization strategies. Teaching responsibilities include graduate courses on electric machines and power electronics. He maintains active collaborations with industry partners like A.O. Smith and Siemens, emphasizing translational research with commercialization potential.

Nebojsa MitrovićView profile

Professor

• Electric Motor Drives
• Power Electronics
• Control Systems for Electrical Machines
• +5 more

Professor Nebojsa Mitrović is a distinguished faculty member at the Electronic Faculty of the University of Niš, Serbia, where he serves as a Professor in the Department of Power Engineering. With decades of academic and research experience, he has established himself as a leading expert in electric motor drives and power electronics. His work bridges theoretical research with practical industrial applications, particularly in crane systems and power quality issues. Professor Mitrović's research interests span electric motor drives, power electronics, control systems for electrical machines, induction motors, voltage sag effects on electrical drives, crane applications, renewable energy systems, and electromechanical energy conversion. His work demonstrates a consistent focus on improving the performance and reliability of electrical drive systems, particularly in industrial settings where power quality issues can significantly impact operations. He has made substantial contributions to understanding how voltage sags affect various types of motor drives and has developed innovative control strategies to mitigate these effects. His extensive publication record shows a clear research trajectory focusing on electric motor drives and power electronics. The most recent publications (2020-2023) demonstrate continued innovation in grid-connected converters, microgrid stability, and modern testing methodologies for electric drives. Earlier works (2006-2017) established foundational knowledge in direct torque control, multi-motor drive systems for cranes, and voltage sag effects on industrial drives. His research consistently addresses practical engineering challenges while advancing theoretical understanding in the field. Professor Mitrović has contributed significantly to academic literature through numerous journal articles, conference papers, and book chapters. His 2009 monograph "Implementacija algoritama za upravljanje momentom i fluksom asinhronih motora" (Implementation of Algorithms for Torque and Flux Control of Induction Motors) and the 2012 book chapter "Electrical Drives for Crane Application" in Mechanical Engineering published by InTech represent substantial contributions to the field. He has also co-authored educational materials including solved problem collections and laboratory exercises for electric motor drives courses. Professor Mitrović actively supervises student research and has been involved in numerous technical projects, including the development of laboratory setups for testing vector controlled induction motor drives. His work has practical applications in various industries, particularly in crane systems and industrial drive applications. He has collaborated extensively with colleagues including Vojkan Kostić, Milutin Petronijević, and Bojan Banković on research projects funded by various Serbian research initiatives. His laboratory work includes the development of testing systems for electric drives and the implementation of advanced control algorithms for industrial applications. Professor Mitrović is associated with the Power Engineering Department at the University of Niš, where he teaches courses including Electric Motor Drives, Selected Topics in Electric Motor Drives, Electrical Machines, Electromechanical Energy Conversion, and Modeling of Electrical Machines and Drives. His teaching reflects his research expertise and provides students with both theoretical knowledge and practical skills in electric drive systems.

• Power Systems
• Power Electronics
• Smart Grid Security
• +3 more

Mahmoud Amin is a Professor in the Department of Electrical & Computer Engineering at Manhattan College. He holds a Ph.D. from Florida International University and has over 70 publications in professional journals and conferences. His research focuses on power systems, smart grid security, and sustainable energy systems. He has secured grants totaling over $2 million, including the Intel FPGA University Program Grant and the Typhoon HIL award. He advises numerous students and leads research projects involving advanced power electronics and grid integration. Amin is a Senior Member of IEEE and active in multiple technical committees. Education: B.Sc. in Electrical Power & Machines Engineering, Helwan University (Cairo, Egypt) M.S. in Electrical Power & Machines Engineering, Helwan University Ph.D. in Electrical Engineering, Florida International University Research Interests: His work emphasizes power systems reliability, renewable energy integration, and advanced control techniques for sustainable energy applications. He has developed laboratory-scale testbeds for power electronics and smart grid research. His projects include hardware-in-loop realizations and cybersecurity mitigation strategies for smart grids. Grants & Awards: $2M grant for energy storage in renewable power systems (KSA Ministry of Education) $20K Typhoon HIL award for HIL402 emulator development Intel FPGA Grant ($8K, 2016) 7x24 University Challenge Award (2019) Professional Activities: Amin chairs Manhattan College's ABET committee and serves on editorial boards for IEEE Transactions. He advises student chapters of IEEE and robotics clubs. His leadership includes the NSF-funded Engineering Scholars Training and Retention (STAR) Center. Labs & Infrastructure: He oversees the power laboratory in Leo 305, equipped with advanced testbeds for power electronics and machine drives. Recent upgrades include $35K in equipment for experimental validation of smart grid technologies.

Rahul SharmaView profile

Associate Professor

• Control Systems
• Renewable Energy
• Power Systems
• +5 more

Associate Professor Rahul Sharma is affiliated with the School of Electrical Engineering and Computer Science at The University of Queensland (UQ), within the Faculty of Engineering, Architecture and Information Technology. His primary research focuses on control systems applications, particularly in solar farm fault detection, grid-connected inverter control, and demand side management. His work emphasizes system modeling, control development, and model-based fault diagnosis, with significant industrial relevance in renewable energy and smart grid technologies. Research Interests: - Solar farm fault detection and diagnosis via control theory to identify underperforming panels. - Advanced control methods for grid-connected inverters to enhance power quality and stability. - Demand side management through novel control algorithms for distributed energy resources. His experimental work includes field trials at Gatton Solar Farm and collaborations with industry partners. Articles Trends: Recent publications emphasize network-aware control of distributed energy resources, dynamic operating envelopes for demand response, and smart grid optimization. Key themes include low-voltage distribution networks, prosumer P2P trading, and fault diagnosis in power systems. Advising & Labs: He supervises prospective PhD students in control systems and renewable energy. Experimental setups at UQ and field trials at Gatton Solar Farm support his research on fault detection and grid systems.

Martha BagnallView profile

Associate Professor

• Neuroscience
• Neural Circuits
• Postural Control
• +5 more

Martha Bagnall, PhD is an Associate Professor in the Department of Neuroscience at Washington University School of Medicine in St. Louis. Her research focuses on neural circuits involved in postural control and motor coordination, primarily using zebrafish as a model organism. She leads the Bagnall Lab, which investigates how sensory information about orientation and movement drives appropriate body movements to adjust posture. Education: PhD in Neuroscience, University of California, San Diego (2002-2008) BS in Biology, Yale University, New Haven, CT (1996-2000) Dr. Bagnall's research centers on understanding how the brain processes vestibular information to maintain posture and coordinate movement. Her lab studies the vestibulospinal system of larval zebrafish to determine how sensory signals about head orientation are mapped onto spinal circuitry to drive appropriate behaviors. A key area of investigation is how locomotor planning influences vestibular circuits, with particular interest in cerebellar input to vestibular neurons. Her work takes advantage of the transparency of larval zebrafish to dynamically observe neural development and function. Analysis of Dr. Bagnall's recent publications reveals a strong focus on spinal interneuron diversity and connectivity in motor control. Her research has systematically mapped how different spinal neuron types (V1, V2b, etc.) connect with motor and sensory targets to coordinate locomotion at different speeds. There is a clear progression from basic circuit mapping to understanding how developmental processes shape these circuits, with recent work exploring clonal relationships and Notch signaling in spinal neuron differentiation. Her work bridges fundamental neuroscience with potential applications for understanding vestibular pathologies in humans. Scientific Awards: McKnight Scholar Award (2017) Pew Scholar (2016) Sloan Award (2016) K99/R00 Pathway to Independence Award, NIDCD, NIH (2012) NSF Graduate Research Fellowship (2004-2007) Dr. Bagnall has secured significant research funding, including a $1.9 million R01 grant from the National Institute of Neurological Disorders and Stroke to map neuronal connections in the zebrafish spinal cord. This represents her second R01 grant as a principal investigator. Her research employs a multidisciplinary approach combining electrophysiology, imaging, genetic manipulation, optogenetics, and behavioral analysis. The lab's work on V1 neurons revealed that these inhibitory interneurons form location-dependent connections - interfacing with motor neurons near their cell bodies while synapsing on sensory cells further up the spinal cord. The Bagnall Lab is part of the Neurogenetics & Transcriptomics and Axon Injury & Repair research groups at Washington University. Her team collaborates with the Solnica-Krezel lab to investigate later onset of vestibular dysfunction, taking advantage of large-scale genetic screens to identify gene candidates involved in neurodegeneration. The lab's research has demonstrated high homology between the vestibulospinal postural system of fish and mammals, suggesting translational relevance of their findings.

Arvid HellmichView profile

Researcher

• Cyber-Physical Systems
• Digital Twins
• Thermal Behavior Modeling
• +3 more

Dr.-Ing. Arvid Hellmich is a research associate and group leader at the Fraunhofer Institute for Machine Tools and Forming Technology (IWU) , focusing on cyber-physical systems and thermal behavior modeling in machine tools. His work bridges mechanical engineering and production technology, with collaborations involving RWTH Aachen University’s Laboratory for Machine Tools and Production Engineering (WZL). Research: Cyber-physical production systems, digital twins, thermal modeling Key Contributions: Self-optimizing thermal correction, bio-inspired factories, additive manufacturing postprocessing Expertise: Data-driven modeling, machine tool optimization, sustainable production His publications (2012–2021) span journals like Journal of Manufacturing and Materials Processing and conferences such as CIRP Annals. Research interests emphasize integrating biologically inspired methodologies into industrial automation and improving energy efficiency via simulation.

VANESA FERNANDEZ CAVEROView profile

Assistant Professor

• Electrical Engineering
• Fault Diagnosis
• Induction Motors
• +3 more

Dr. Vanesa Fernandez Cavero is an Assistant Professor in the Department of Electromechanical Engineering at the Higher Polytechnic School, University of Burgos. Her primary research area is Electrical Engineering, with a focus on fault diagnosis in induction motors, signal processing techniques, and power electronics. She also contributes to educational technology research, particularly in Moodle-based learning frameworks. She holds a PhD from the University of Valladolid (2018), where her dissertation investigated fault detection in inverter-fed induction motors under transient conditions, supervised by Dr. Daniel Moríñigo Sotelo, Dr. Óscar Duque Pérez, and Dr. Joan Pons Llinares. Her recent publications (2021-2025) predominantly explore advanced time-frequency analysis methods for motor fault detection, harmonic monitoring in adjustable speed drives, and innovative diagnostic approaches for broken rotor bars. A secondary research thread involves e-learning strategies, evidenced by her work on Moodle-based collaborative learning.

• Mechanical Engineering
• Automotive Engineering
• Mechatronics
• +9 more

Andrea Tonoli is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He serves as Scientific Advisor for partnerships with DAYCO, ITALDESIGN GIUGIARO, and STELLANTIS, and leads Spoke 2 'Sustainable Road Vehicle' at the National Center for Sustainable Mobility (MOST). He coordinates the DIMEAS-LIM research group and participates in CARS and PEIC interdepartmental centers. His teaching includes courses on Car Body Design, Motor Vehicle Design, and Mechatronic Systems Simulation. His research focuses on electric/hybrid powertrain optimization, mechanical design of electric traction machines, energy management in autonomous vehicles, longitudinal/lateral dynamics, virtual sensors for vehicle state estimation, electro-hydraulic/electromechanical shock absorbers, and magnetic bearings. Key subfields include rotordynamic analysis, harmonic finite element modeling for turbines, maglev stability, mechatronic systems for autonomous vehicles, and sustainable transportation. Recent publications emphasize electrodynamic maglev damping, compact assistive knee prostheses, electromagnetic shock absorber testing, and multi-objective optimization of regenerative suspensions. His work spans automotive, aerospace, and biomedical domains with applications to energy recovery, vibration control, and sustainable mobility. He supervises PhD students in mechatronics and automotive engineering, and leads numerous funded research projects including SPHERE (PNRR), MINERVA (PNRR), SmartCorners (EU), and industry collaborations with Hyperloop Transportation Technologies, Dayco Europe, and Racing Force Spa.

• Transportation Systems
• Electric Bus Optimization
• Energy Storage Scheduling
• +4 more

Ziling Zeng is a researcher at Chalmers University of Technology, Sweden, affiliated with the Mechanics and Maritime Sciences (M2) school and the Logistics and Transportation department. His work focuses on electric bus systems, energy storage optimization, and sustainable urban mobility. Research interests span public transit electrification , fleet management , battery degradation modeling , and multi-modal logistics . His 15 most recent publications emphasize optimization frameworks, cost analysis, and real-world implementation challenges for zero-emission transportation. Key projects include: ERGODIC (2023–2026) - VINNOVA & European Commission funding Accelerating transport electrification by machine learning (2021–2023) - European Commission Speed Control of Connected Vehicles (2020–2023) - VINNOVA His work addresses policy, technology, and infrastructure challenges in transitioning to sustainable transit systems.

Mehdi NarimaniView profile

Associate Professor

• Power Electronics
• High-Power Conversion
• Electric Vehicles (EV) Fast Chargers
• +5 more

Dr. Mehdi Narimani is an Associate Professor in the Department of Electrical and Computer Engineering at McMaster University, holding the Canada Research Chair in High-Power Converters and serving as the director of the High-Power Electronics Lab (HiPEL). His expertise spans power electronics, high-power conversion, EV fast chargers, and medium-voltage motor drives. He has authored over 160 publications and 13 patents, with research focusing on novel converter topologies, control strategies, and applications in EV charging and renewable energy systems. Education: B.Sc., M.Sc. in Electrical Engineering (Isfahan University of Technology, Iran) Ph.D. in Electrical and Computer Engineering (University of Western Ontario, Canada) Research Interests: Dr. Narimani’s work emphasizes high-power converter systems, medium-voltage motor drives, EV fast charging technologies, and power electronics integration in smart grids. His lab develops innovative solutions for energy-efficient power conversion and EV infrastructure, with a focus on reducing costs and improving reliability through advanced topologies and control techniques. Publications & Trends: Recent work highlights advancements in ultra-fast EV charging stations, medium-voltage architectures, and fault-tolerant motor drives. His research bridges theoretical control methods (e.g., model predictive control) with practical implementations in high-power systems. Awards & Recognition: NSERC Canada Research Chair (Tier 2) McMaster University Scholar (2022) Multiple Best Paper Awards (Journal of Power Electronics, IEEE Conferences) Advising & Grants: Supervises graduate students in power electronics and EV systems. Secured funding through NSERC, industry partnerships, and Canada Research Chair initiatives. Collaborates with industry on projects like EV charger design and renewable energy integration. Labs & Teams: Leads the High-Power Electronics Lab (HiPEL), focusing on advanced converter systems, wireless EV charging, and smart energy solutions. Collaborates with cross-disciplinary teams on projects involving more electric aircraft and community energy systems.