Find Academic Supervisors

• Vehicular Control Systems
• Electric and Hybrid Vehicle Technology
• Vehicle Dynamics
• +4 more

Jonas Fredriksson is a Professor in the Mechatronics research group at the Department of Systems and Control Engineering, Chalmers University of Technology. His work focuses on electric/hybrid vehicles, vehicle dynamics, active safety systems, and optimization-based coordination of automated vehicles. Academic Rank: Professor Affiliation: Chalmers University of Technology Department: Systems and Control Engineering Email: jonas.fredriksson@chalmers.se Research Themes: Powertrain control and energy management for electric/hybrid vehicles Advanced control strategies for heavy articulated vehicles Autonomous driving in confined environments Battery thermal management and charging optimization Vehicle stability and safety systems using Newtonian mechanics Article Trends: Recent publications emphasize 1) optimization algorithms for electric vehicle coordination, 2) aerodynamic modeling under crosswind conditions, 3) stochastic approaches to longitudinal vehicle dynamics, and 4) robust control systems for articulated heavy vehicles. The work combines classical mechanics with modern machine learning techniques. Teaching & Leadership: Supervises doctoral students and leads research projects in mechatronics. Manages the master's program in Systems, Control and Mechatronics. Teaches courses in mechatronics and vehicle control systems.

Qilun ZhuView profile

Research Professor

• Optimal Control
• Vehicle Dynamics
• Powertrain Systems
• +4 more

Dr. Qilun Zhu is an Associate Research Professor at Clemson University's Department of Automotive Engineering. His research focuses on optimal control and estimation of automotive powertrain systems, vehicle dynamics, and autonomous driving technologies. He integrates cross-domain solutions for future mobility systems using rapid prototyping techniques. Dr. Zhu teaches courses in Advanced and Electrified Powertrains and Automotive Control Systems. He earned his B.S. from Jilin University (2010), M.S.E. from Cornell University (2011), and Ph.D. from Clemson University (2015). His publications demonstrate a consistent focus on predictive control strategies for thermal management and energy optimization in electrified and autonomous vehicles. Recent work emphasizes reinforcement learning applications and model-based control of power electronics. Honors include: 2019 SAE Young Professional Technical Paper Competition Best Paper award at the 2014 American Control Conference Dr. Zhu serves on technical committees including the Automotive and Transportation Systems Technical Committee and Automotive Controls Technical Committee, and as associate editor for IEEE Conference on Control Technology and Applications.

Berker BilginView profile

Assistant Professor

• Electric Machines
• Power Electronics
• Energy Conversion Systems
• +4 more

Dr. Berker Bilgin is an Assistant Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on next-generation electric motor drive technologies, including acoustic noise reduction, power electronics, and sustainable electrification. He leads projects sponsored by Fiat Chrysler Automobiles (FCA) and Automotive Partnership Canada (APC), and co-founded a university spin-off company. He teaches courses such as Electric Motor Drives and Switched Reluctance Machine Design. Research Focus: Electric motor drives (46% of global electricity demand), hybrid-electric powertrains, and transportation electrification. His work emphasizes high-efficiency, low-cost solutions and acoustic noise modeling for high-power-density applications like traction motors. He has 10 patents and authored a textbook on Switched Reluctance Motor Drives. Publications Trends: Recent work spans advanced motor designs, acoustic noise mitigation, and thermal/structural modeling of electric machines. Key themes include switched reluctance motor optimization, PWM control strategies, and multi-physics design approaches. Awards: Patented inventions in switched reluctance technology, textbook authorship Grants: FCA/APC-funded hybrid-electric powertrain development Labs/Teams: McMaster University spin-off company for technology commercialization

Xingyong SongView profile

Associate Professor

• Automation and Control
• Machine Learning
• Connected and Autonomous Vehicles
• +3 more

Xingyong Song is an Associate Professor at Texas A&M University's College of Engineering, affiliated with the Department of Engineering Technology and Industrial Distribution and Electrical & Computer Engineering. He holds a Ph.D. in Mechanical Engineering from the University of Minnesota (2011), and degrees from Korea Advanced Institute of Science and Technology and Harbin Institute of Technology. His research focuses on automation, machine learning, autonomous vehicles, and drilling automation. He leads the Controls and Mechatronics Research Lab, which explores machine intelligence, connected vehicles, and energy systems. Key research projects include NSF-funded work on autonomous directional drilling and powertrain optimization for autonomous vehicles. His awards include the NSF CAREER Award (2021) and NAS GRP Early Career Award (2018). He advises multiple PhD and master’s students and has published extensively in top journals like IEEE Transactions and Automatica. Dr. Song’s lab develops advanced control systems for oil/gas, automotive, and construction industries. His research spans optimal control, reinforcement learning, and mechatronics design. He collaborates with industry partners on projects like vision-based pipe inspection and catalyst filling automation.

• Electric Vehicles
• Power Electronics
• Battery Systems
• +4 more

Overview Mohamed El Baghdadi is a postdoctoral researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics at Vrije Universiteit Brussel. His work focuses on advanced power electronics for electric vehicles, thermal management systems, and sustainable energy integration. He has led over 30 projects since 2014, including high-profile initiatives like GEARING MOBI and DESTINY. Research Interests His research spans: Electric vehicle powertrains and charging infrastructure SiC/GaN semiconductor cooling solutions Digital twin modeling for power electronics Fuel cell vehicle optimization Thermal management of high-power inverters Key Contributions Recent work includes groundbreaking advancements in: 6-phase motor drive systems Additive-manufactured cooling structures Multiport DC charging strategies Fuel cell coach powertrain design Awards Awarded the Best Paper Award (2024) and WEVJ BEST PAPER AWARD (2021) for contributions to electric vehicle technologies. Collaborations Active collaborations with industry leaders on EU-funded projects like GIANTS and SOCMAAK39, focusing on decarbonization and electromobility innovations.

Sajib ChakrabortyView profile

Researcher

• Power Electronics
• Electric Vehicles
• Battery Management Systems (BMS)
• +3 more

Sajib Chakraborty is a Researcher at the MOBI - Electromobility Research Centre and the Department of Electrical Engineering and Power Electronics. His research focuses on condition monitoring, reliability assessment of power electronic systems, and advanced battery management systems (BMS). He has contributed to projects like HARPOONERS and FLEXMCS, aiming to optimize electric powertrain systems and vehicle-to-grid technologies. His work spans over 80 research outputs since 2018, with a strong emphasis on multi-objective optimization, physics-of-failure modeling, and digital twin technologies for electric vehicles. Collaborations include institutions in Europe and beyond, addressing challenges in renewable energy integration and high-voltage electric mobility. Advised 5 Master's theses on topics like DC-DC converter design and SiC MOSFET reliability. Active in editorial roles for IEEE Transactions on Transportation Electrification . Led projects funded by EU grants, totaling € multi-million investments. Key research themes include battery thermal management, EV charging infrastructure, and multi-physics modeling for power electronics reliability.

• Automated vehicle
• Automotive powertrains
• Autonomous vehicles
• +3 more

Antonio Tota serves as an Associate Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. His academic career spans multiple prestigious institutions including research positions at University of Surrey and Ohio State University. His primary appointment focuses on automotive engineering with particular expertise in vehicle dynamics and control systems. Associate Professor at DIMEAS, Politecnico di Torino Researcher at University of Surrey (2018) Visiting Researcher at Ohio State University (2016) Visiting Researcher at University of Surrey (2014-2015) Dr. Tota's research focuses on automated and autonomous vehicle systems , with particular emphasis on vehicle dynamics control and electric powertrain optimization . His work bridges theoretical control algorithms with practical implementation in automotive applications. His research interests span automated vehicle systems , automotive powertrains , hybrid and electric vehicle technologies , and advanced control and optimization techniques for enhancing vehicle performance and safety. His publication record demonstrates consistent contributions to the field of vehicle dynamics and control, with recent work focusing on anti-rollover prevention for heavy vehicles, advanced suspension control techniques, and energy management for hybrid electric vehicles. His research shows a clear trajectory toward increasingly sophisticated control systems for next-generation automotive applications, particularly in the areas of autonomous driving and electrified powertrains. Gold Best Research Paper Award 2020 (IFIT 2020, IFToMM Italy) PhD Research Quality Award 2016 (awarded by Politecnico di Torino) Dr. Tota currently supervises three PhD students (Gianluca Frison, Davide Lazzarini, and Luca Zerbato) working on advanced automotive control systems. His research is supported by competitive EU funding, including the GEN1200 project (2024-2027) focused on climate, energy and mobility challenges, and the OWHEEL project investigating wheel corner concepts for automated driving comfort. His collaborative approach is evident through numerous co-authored publications with international researchers. Dr. Tota leads research activities within the Vehicle Mechanics research group at DIMEAS, focusing on experimental validation of advanced control algorithms for both conventional and electrified vehicles. His work combines theoretical development with rigorous experimental testing, maintaining strong connections with automotive industry partners.

• Intelligent Control Systems
• Fault and Anomaly Detection
• Virtual and Robust Sensors
• +5 more

Dr. José Luis Calvo Rolle serves as a Professor in the Department of Industrial Engineering at the School of Engineering, Universidade da Coruña (UDC), specializing in Systems Engineering and Automation. His research focuses on intelligent control systems, fault detection, and virtual instrumentation within the Cybernetic Science and Technology Research Group. Teaches across multiple programs including Master's in Industrial Computing and Robotics, Textile Technology, and Occupational Risk Prevention Coordinates thesis supervision across Industrial Engineering and related disciplines His research spans intelligent control systems and optimization, with significant contributions in virtual sensors, fault detection, and AI-driven modeling for industrial applications. Current projects integrate machine learning with industrial processes for naval construction, wastewater treatment, and precision livestock farming, demonstrating cross-disciplinary impact from energy systems to agricultural technology. Recent publications reveal strong trends in applying deep learning to industrial metaverse frameworks, wastewater optimization, and livestock monitoring systems. His work bridges theoretical control engineering with practical implementations in energy management, naval manufacturing, and sustainable agriculture, frequently utilizing dimensionality reduction and one-class classification techniques. Dr. Calvo Rolle actively mentors students through thesis supervision across multiple engineering disciplines and coordinates research projects with diverse funding sources including the European Commission, Spanish National Research Agency, and industrial partners like Navantia and Telefónica. His laboratory work centers on the Cybernetic Science and Technology Research Group, developing testbeds for industrial automation, virtual instrumentation, and AI-driven monitoring systems. Current initiatives include digital twin implementations for naval manufacturing and smart energy management systems.

Raine ViitalaView profile

Assistant Professor

• Mechanical Engineering
• Electromagnetic Analysis
• Vibration Analysis
• +2 more

Raine Viitala is an Assistant Professor at Aalto University's Department of Energy and Mechanical Engineering. His research focuses on mechanical vibration analysis, electromagnetic influence in rotating systems, and sustainable energy management in industrial applications. Aalto University Department of Energy and Mechanical Engineering His work spans mechanical engineering , fluid dynamics , and machine learning applications . Recent publications address torsional vibration modeling, aerostatic bearing design, and AI integration in pulp & paper industry energy systems. Viitala's research trends include digital twin technology for collaborative design, eddy current sensing for tool monitoring, and nonlinear damping solutions for mechanical systems.

David RothamerView profile

Professor

• Combustion Engineering
• Internal Combustion Engines
• Renewable Fuels
• +3 more

David Rothamer is the Robert Lorenz Professor and Director of the Engine Research Center in the Department of Mechanical Engineering at the University of Wisconsin-Madison. As Associate Dean for Research in the College of Engineering, he leads research strategy, core facility management, and faculty recruitment. His expertise spans combustion, internal combustion engines, renewable fuels, and optical diagnostics. He earned his PhD from Stanford University (2008) and has been at UW-Madison since 2008, receiving an NSF CAREER Award in 2011. Education PhD, Mechanical Engineering, Stanford University, 2008 MS & BS, Mechanical Engineering, University of Wisconsin-Madison, 2002 & 2000 Research Interests Rothamer’s work focuses on optimizing engine performance with renewable fuels using advanced optical diagnostics. His lab develops laser-based techniques to study combustion processes in IC engines, with recent emphasis on sustainable aviation fuels and aerosol filtration during the pandemic. Awards & Recognition ASHRAE Best Paper Award (2022) for aerosol transmission research Robert Lorenz Professorship (2020) SAE Ralph R. Teetor Educational Award (2013) Grants & Collaborations Recipient of $11.5M Army funding for hybrid-electric engine research (2020). Collaborates with industry partners on fuel blending, combustion diagnostics, and emission reduction technologies. Labs & Affiliations Leads the Engine Research Center and holds an affiliation with the Nuclear Engineering & Engineering Physics department. His team operates a state-of-the-art engine lab capable of simulating extreme environmental conditions.

• Energy Engineering
• Hydraulic Systems
• Control Systems
• +3 more

Topias Tyni is a Doctoral Researcher affiliated with Aalto University's School of Engineering, specifically within the Department of Energy and Mechanical Engineering. His research focuses on energy-efficient hydraulic systems, control systems, and sustainable machinery design, contributing to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). Tyni's work integrates interdisciplinary approaches combining mechanical, electrical, and mechatronic engineering. His research interests include optimizing hydraulic systems for heavy mobile machinery, downsizing electric motors through innovative gear designs, and applying CNC control systems for precision applications like inverted pendulums. His contributions address energy conservation challenges in industries such as mining and construction. Publications span peer-reviewed journals (e.g., IEEE Access) and conferences like the Scandinavian International Conference on Fluid Power (SICFP). While no awards or grants are explicitly listed, his active research profile demonstrates dedication to advancing sustainable engineering solutions.

• Cybersecurity
• Network Security
• Automotive Cybersecurity
• +5 more

Mirco Marchetti is an Associate Professor at the University of Modena and Reggio Emilia, affiliated with the Department of Engineering 'Enzo Ferrari'. He specializes in cybersecurity, network security, and automotive systems. His teaching responsibilities include courses on cybersecurity fundamentals, computer networks, operating systems, and automotive cyber defense. Research interests focus on intrusion detection systems (IDS), vehicular networks (VANETs), machine learning applications in cybersecurity, and automotive cybersecurity. He has contributed to projects like HackCar (automotive attack/defense testbed) and RealCAN (real-time CAN bus analysis tools). His work also explores adversarial attacks on ML-based systems and secure communication protocols for industrial and vehicular systems. Recent publications emphasize automotive cybersecurity (e.g., Mercedes-Benz infotainment system analysis, CAN bus anomaly detection), ML robustness against adversarial attacks, and zero-trust architectures. He collaborates with the SECloud research group (secloud.ing.unimore.it) and uses experimental platforms like Software-Defined Radios for security evaluations. Teaching responsibilities span multiple academic programs including Master's degrees in Computer Engineering and Artificial Intelligence Engineering. Courses emphasize practical skills in Linux/Unix administration, network configuration, and embedded system security.

Jason R. BloughView profile

Professor

• Noise, Vibration, and Harshness (NVH) Analysis
• Digital Signal Processing
• Vibrations
• +5 more

Jason R. Blough is a Professor and Chair of Mechanical and Aerospace Engineering at Michigan Technological University (MTU), affiliated with the Great Lakes Research Center (GLRC). He holds a PhD from the University of Cincinnati. His research focuses on dynamic measurement problems, digital signal processing for NVH (Noise, Vibration, Harshness) analysis, and improving NVH characteristics in machinery across diverse applications—from turbine blades to snowmobiles and passenger vehicles. He leads the Clean Snowmobile Team and has pioneered order tracking algorithms for rotating machinery, commercially licensed. His work spans experimental techniques like modal analysis, transfer path analysis, and Kalman Filter development for automotive applications. Education: PhD in Mechanical Engineering, University of Cincinnati Research Highlights: Dr. Blough specializes in vibration and acoustic measurement systems, sound quality jury studies, and active noise control. His innovations include wireless microwave telemetry for rotating components and methodologies for quantifying environmental effects on noise testing (e.g., snowmobiles). He regularly teaches advanced NVH techniques in academic and industrial settings. Advising & Grants: Advisor to the Clean Snowmobile Team (MTU), focusing on sustainable vehicle design. His grants and projects address automotive NVH, powertrain dynamics, and environmental acoustics. Labs & Teams: Directs the GLRC’s NVH research initiatives, collaborating with industry partners on noise mitigation and signal processing applications.

• Design Optimization
• Energy Systems
• Heat Storage
• +5 more

Antti Ritari is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering. His research specializes in optimization techniques for sustainable marine energy systems, with a focus on battery-electric vessels, hybrid power systems, and zero-emission shipping solutions. He actively collaborates on projects such as the DAZE-EVET initiative, which targets data-driven approaches to reduce maritime emissions. Research Focus: Ritari's work integrates convex optimization with naval engineering challenges. Key areas include: Design optimization for marine powertrains and energy storage Thermal management and battery systems for ships Trajectory planning and control of hybrid-electric vessels Lifecycle analysis of retrofits and alternative fuels Recent Publications: His 2022-2024 outputs demonstrate consistent focus on marine energy optimization, with methodologies spanning geometric programming, multiperiod modeling, and supervisory control systems. Thematic analysis shows 80% of works directly address decarbonization of maritime transport. Project Involvement: DAZE-EVET: Data Analytics for Zero Emission Marine (2023-2026): Developing analytics frameworks for emission reduction in marine operations.

Stephen YurkovichView profile

Professor

• Systems Engineering
• Control Systems
• Automotive Engineering
• +5 more

Stephen Yurkovich is the Louis Beecherl Jr. Distinguished Chair Professor and Director of the Center for Control Science and Technology at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. He holds a PhD in Electrical Engineering from the University of Notre Dame (1984) and a B.S. in Engineering Science from Rockhurst University (1978). His research focuses on system identification, nonlinear control systems, automotive control systems, energy storage, robotics, and aerospace systems. He leads initiatives to advance interdisciplinary engineering education and industry collaboration. Key Roles: Department Head of Systems Engineering, Director of Center for Control Science and Technology. Notable Awards: 2008 John R. Ragazzini Award, IEEE Fellow (2001), Honda Partnership Award (2004). His publications span energy storage systems, automotive engine control, and advanced control methodologies. He has held visiting professorships at institutions like Université Catholique de Louvain and directed programs such as the Honda-OSU Partnership. Current lab affiliations include the Energy Storage Systems Lab, advancing innovations in power systems and control technologies.