Find Academic Supervisors

Sabina GheduzziView profile

Senior Lecturer

• Biomechanics
• Biomaterials
• Orthopaedic Engineering
• +3 more

Dr. Sabina Gheduzzi is a Senior Lecturer in the Department of Mechanical Engineering at the University of Bath, with affiliations to the Centre for Bioengineering & Biomedical Technologies and the Centre for Integrated Materials, Processes & Structures (IMPS). Her research focuses on biomechanics and biomaterials, particularly in orthopaedic applications such as hip/knee replacements, fracture healing, and spinal deformities. She holds a degree from the University of Modena, Italy (1995) and a PhD in Mechanical Engineering from the University of Bath (2001), with prior academic experience at the University of Bristol. Her work combines engineering principles with medical challenges, including the design of implants, biomaterials evaluation, and ultrasound applications for tissue stimulation and diagnostics. She collaborates across disciplines, involving orthopaedics, physics, biology, and electrical engineering. Key projects include spinal injury mechanisms in rugby, cervical spine biomechanics under impact, and finite element modeling of vertebral behavior. Dr. Gheduzzi has published extensively on topics like intervertebral disc mechanics, vertebral body failure prediction, and osteochondral tissue regeneration. Her research contributes to UN Sustainable Development Goals related to health and well-being through advancements in medical technologies and injury prevention. Her grants and projects include the RAEng Ingenious Award (2020-2021) and collaborations with industry (e.g., Bray Group Limited). She is also engaged in pedagogical initiatives, such as enhancing group work experiences in engineering education.

Karen ChenView profile

Associate Professor

• Human Factors Engineering
• Virtual and Augmented Reality
• Occupational Safety and Ergonomics
• +4 more

Karen Chen is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University, part of the College of Engineering. She holds affiliations with the NC Occupational Safety and Health Education and Research Center (ERC) and collaborates with The Ergonomics Center of North Carolina. Her lab focuses on Virtual and Augmented Reality applications for training, healthcare, and occupational safety. Education: Ph.D., MS, and BS in Biomedical Engineering from University of Wisconsin-Madison (2009-2015). Postdoctoral research at Northeastern University's Healthcare Systems Engineering Institute. Key awards include the Goodnight Early Career Innovators Award and NSF/NIOSH funding. Research interests center on human-technology interactions in VR/MR environments, particularly for training, healthcare, and workplace safety. Recent work explores scale cognition in educational VR, embodiment effects on cognitive performance, and robot-related workplace injuries. Her lab engages in K-12 STEM outreach via media and public events like North Carolina Comicon. Publications emphasize VR's psychological impacts, ergonomic interface design, and workplace safety innovations. Collaborations span academia and industry, with media features on WRAL5 and CW22 highlighting her work's societal impact.

Alan HuebnerView profile

Teaching Professor

• Applied Statistics
• Data Science
• Education Technology
• +3 more

Alan Huebner is a Teaching Professor and Director of Undergraduate Studies in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame's College of Science. He holds a Ph.D. from the University of Illinois Urbana-Champaign (2008) and an M.S. from DePaul University (2003). His work bridges data science and education, emphasizing statistical modeling and R computing in real-world applications. He designs courses integrating applied statistics with practical data analysis, particularly for undergraduate and graduate students. Dr. Huebner's research focuses on statistical methodologies, sports analytics, and education technology. Notable collaborations include concussion detection in youth athletes, wearable device monitoring for athlete training loads, and socioeconomic impacts on pre-kindergarteners' development. His projects often involve interdisciplinary partnerships with campus and community groups. His recent articles highlight themes in sports physiology (e.g., thermography for training monitoring), educational interventions (writing development during pandemics), and statistical theory (generalizability in data collection). While no specific awards are listed, he is noted as an award-winning statistics educator. He mentors undergraduates and advises on grants related to applied statistical research. His office is 101F Crowley Hall, and he can be reached at Alan.Huebner.10@nd.edu.

Francesco TamburrinoView profile

Assistant Professor

• Additive Manufacturing
• Materials Science
• Industrial Design
• +4 more

Francesco Tamburrino is an Assistant Professor at the Department of Civil and Industrial Engineering, University of Pisa. His research focuses on additive manufacturing, materials science, and biomedical engineering applications. Key areas include design methodologies for AM processes, post-processing treatments for polymeric and metallic components, and lattice structure optimization. Tamburrino also explores virtual reality-based educational tools and sustainable dental materials. He has contributed to over 30 peer-reviewed articles since 2015, with recent work emphasizing aerospace applications of AM, biomedical devices, and immersive learning systems. His research integrates experimental methods with computational modeling to advance material performance and manufacturing efficiency. Research Interests: Additive Manufacturing: FFF of ceramics/metals, post-processing optimization Biomedical Engineering: Dental aligners, auxetic biomedical components Materials Science: Polymers (PEEK), composites, and functional materials Virtual Reality: Immersive engineering education and anatomical visualization Notable Research Trends: Recent publications (2022-2025) highlight advancements in aerospace materials for Hall thrusters, patient-specific dental devices using digital workflows, and fatigue-resistant lattice structures. His VR Lab initiative bridges engineering education with immersive technology, offering new training paradigms. Labs/Teams: Leads the Virtual Reality Laboratory for Engineering Education and collaborates with industry partners on AM projects. Active in dental technology innovation through customized device development.

• Biomechanics
• Muscle energetics
• Tendon mechanics
• +6 more

Professor Glen Lichtwark is Head of the School of Exercise & Nutrition Sciences at Queensland University of Technology (QUT). Previously, he held roles at the University of Queensland (2010-2023), Griffith University (2006-2009), and Imperial College London / Royal Veterinary College (2005). He is an ARC Future Fellow (2020-2024) and former Peter Doherty Fellow (2007-2010). His research focuses on skeletal muscle structure and function across scales—from cellular mechanisms to neural control—applying to human performance, aging, and neuro-musculoskeletal conditions like cerebral palsy. Key achievements include developing tools for predicting human movement energetics and musculoskeletal modeling. He teaches biomechanics, coordinates Honours programs, and advocates for blended learning and industry collaboration in sports and health technology. Research interests span biomechanics of movement, muscle energetics, foot biomechanics, tendon adaptation, and medical imaging techniques. Awards include the ISB World Athletics Award (2021), ARC Future Fellowship (2020), and ANZ Society of Biomechanics Publication Award (2018). He serves on editorial boards and professional committees, including the International Society of Biomechanics (ISB) council (2015-2021). Current projects include predicting human movement energetics and validating musculoskeletal models for hopping tasks. Industry partnerships include collaborations with Cricket Australia, Australian Sports Commission, and Cerebral Palsy Alliance. Teaching contributions emphasize blended learning platforms and student-industry engagement. Supervision opportunities are available for Honours, Masters, and PhD students in sports science, biomechanics, and rehabilitation engineering.

• Electromagnetic Engineering
• Magnetic Levitation
• Vibration Isolation
• +6 more

Dr. William Robertson is a Senior Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide, specializing in electromagnetics and biomechanics. His research focuses on advancing magnetic levitation (maglev) systems for vibration isolation, wave energy conversion, and actuator design through the AUMAG research group. He is a proponent of open science, emphasizing tool and data sharing. His work integrates fundamental physics with applied engineering solutions. Key research areas include magnetic force modeling, quasi-zero stiffness mechanisms, and biomechanical gait analysis. He supervises Honours, Masters, and PhD students, fostering innovation in both mechanical systems and human movement studies. The AUMAG group collaborates with industry on projects like maglev elevators and energy harvesting devices. His biomechanics work involves developing low-cost 3D scanning methods for musculoskeletal modeling and sports equipment optimization. Recent projects include non-contact force measurement techniques in maglev systems and gait recognition algorithms using force platforms. His work spans interdisciplinary applications from robotics to environmental modeling, with a focus on precision engineering and data-driven methodologies.

Tomasz KucnerView profile

Assistant Professor

• Robotics
• Autonomous Systems
• Machine Learning
• +5 more

Dr. Tomasz Kucner is an Assistant Professor in the Department of Electrical Engineering and Automation at Aalto University, specializing in robotics and autonomous systems. His research focuses on enabling robots to operate safely and intelligently in human-robot shared environments through contextual learning, self-assessment, and understanding human behavior dynamics. His work emphasizes multi-modal perception, trajectory prediction, and human-aware navigation. Key projects include the ILIAD Safety Stack for industrial mobile robots and development of datasets like THÖR-MAGNI for motion capture analysis. He collaborates with institutions globally and leads the Mobile Robotics research group. Publications highlight advancements in radar-lidar fusion, pedestrian intent prediction, and generative terrain modeling. His work bridges theoretical robotics research with practical applications in autonomous driving and service robotics. Research Group: Mobile Robotics Key Focus Areas: Human-Robot Interaction, Autonomous Systems, Motion Prediction

• Intelligent Vehicles
• Traffic Technologies
• Advanced Driver Assistance Systems (ADAS)
• +7 more

Iván García Daza is a Professor at the Department of Automática, University of Alcalá, Spain. He leads research in Intelligent Vehicles and Traffic Technologies (INVETT group), focusing on autonomous systems, digital twins, and ADAS technologies. His work integrates computer vision, deep learning, and human-vehicle interaction analysis. Education: PhD in Systems Engineering from University of Alcalá (2011), with a thesis on "Driver Fatigue Detection via ADAS Fusion" supervised by Rafael Barea Navarro and Luis Miguel Bergasa Pascual. Research interests include autonomous vehicle algorithms, real-time sensor fusion, virtual reality simulations for human-factor testing, and ecological conservation projects. His recent work emphasizes digital twin technology to bridge simulation-to-reality gaps in autonomous systems. Publications span autonomous driving validation frameworks, LiDAR-based navigation, and ecological studies. Notable contributions include VR-based human-vehicle interaction testing and synthetic data generation for ADAS systems. Labs/Teams: Director of the INVETT lab at the University of Alcalá, collaborating on EU-funded projects involving automotive industries and environmental agencies.

• Biomechanics
• Gait Analysis
• Movement Deviation
• +7 more

Gabor Barton is a Professor at the Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, a position he has held since August 2015. His work bridges biomechanics, neurorehabilitation, and virtual reality-based therapy, with a focus on gait analysis and movement deviation assessment. His research interests include: Biomechanics and sports movement analysis Clinical gait data visualization using neural networks Virtual and gamified rehabilitation systems Movement control in neurological conditions such as cerebral palsy and tetraplegia Posture, balance, and trunk-pelvis dynamics Application of artificial intelligence in movement science The 15 most recent publications reflect a strong trend toward integrating computational methods—particularly self-organizing neural networks—with clinical biomechanics to quantify movement deviations and enhance rehabilitation outcomes. His work spans from fundamental sports biomechanics (e.g., soccer kicking, boxing punches) to advanced neurorehabilitation technologies using virtual environments. While no formal list of awards is provided, his extensive publication record in high-impact journals such as Gait & Posture , Journal of NeuroEngineering and Rehabilitation , and Perception underscores his scholarly contributions. Barton has collaborated with key researchers including M.A. Robinson, M.B. Hawken, A. Lees, and P.B. Butler. Though specific students are not listed, his professorial role and supervisory contributions (e.g., student publications) suggest active mentorship. He has also contributed peer reviews for journals like BMC Musculoskeletal Disorders and PLOS ONE . His work is closely tied to advanced motion analysis systems such as the CAREN platform and real-time biofeedback tools, indicating leadership in developing and applying innovative technologies for clinical and sports settings.

Ian WilliamsView profile

Professor

• Augmented Reality (AR)
• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• +5 more

Dr. Ian Williams is a Professor of Visual Computing and Head of the Digital Media Technology Lab (DMT Lab) at Birmingham City University. His research focuses on advancing AR/VR technologies, HCI, and broadcast systems, with a strong emphasis on inclusive design and accessibility. He leads the DMT Lab's research strategy, encompassing domains like computer graphics, computer vision, and sound analysis. Williams holds a PhD in biomedical image analysis from Manchester Metropolitan University (2008). His work bridges academia and industry through Knowledge Transfer Partnership (KTP) programs with companies like GlaxoSmithKline and Sherlock Healthcare. He chairs major conferences such as IEEE ISMAR and serves on technical committees for IEEE VR and IEEE CoG. Recent research trends highlight inclusive AR/VR systems, multimodal interaction techniques, and overcoming accessibility barriers for visually impaired users. His publications address challenges in haptic feedback, object manipulation, and perceptual tolerance in mixed reality. Advises multiple PhD students Collaborates with NATO, Facebook, and the British Psychological Society Funded by EPSRC, DSTL, and GambleAware The DMT Lab actively develops innovative tools for immersive environments, including object-based audio solutions and AI-driven synthetic data generation.

Karen LiuView profile

Professor

• Computer Graphics
• Robotics
• Physics-Based Animation
• +4 more

Professor C. Karen Liu is a Professor of Computer Science at Stanford University, previously serving as faculty at Georgia Tech's School of Interactive Computing. She holds a B.S. from National Taiwan University (1999), and M.S. and Ph.D. from the University of Washington (2001, 2005). Her research focuses on computer graphics and robotics, particularly physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She leads The Movement Lab, advancing interdisciplinary work in human movement modeling, humanoid robotics, and assistive technologies. Notable contributions include the Stanford ToddlerBot for embodied intelligence, physics simulators like DART, and exoskeleton design. Awards include the NSF CAREER Award, Alfred P. Sloan Fellowship, and ACM SIGGRAPH's Significant New Researcher Award. Her lab bridges robotics, biomechanics, and AI, developing tools for motion prediction, human-robot interaction, and personalized biomechanical models. Key projects include the AddBiomechanics dataset and motion diffusion frameworks.

Dimitra PanagouView profile

Associate Professor

• Motion planning
• Coordination and control
• Robotic networks
• +10 more

Dimitra Panagou is an Associate Professor with the Department of Robotics and the Department of Aerospace Engineering at the University of Michigan. She directs the Distributed Aerospace Systems and Control Laboratory (DASC Lab) located in the Ford Robotics Building, where she leads research in safe and resilient autonomy for robotic systems. Her research interests focus on motion planning, coordination and control of robotic networks, autonomous multi-vehicle systems, nonlinear systems and control, navigation and guidance, distributed/decentralized control, and dynamic coverage. Professor Panagou's work emphasizes the development of planning, learning and control methods to address real-world, safety- and time-critical problems through provably correct solutions. Her research spans nonlinear systems, decision making under constraints and uncertainty, estimation and learning, mission planning, and networked control systems with applications across aerial, ground, marine, and space domains. Professor Panagou's recent publications (2024-2025) demonstrate a strong focus on control barrier functions, safety-critical control, resilient multi-robot systems, and risk-aware navigation. Her work bridges theoretical foundations with practical applications in autonomous systems, with particular emphasis on providing mathematical guarantees for safety and performance. The research spans multiple domains including aerial vehicles, marine systems, and ground robotics, addressing challenges in uncertain environments and under various constraints. Professor Panagou has received several prestigious awards including: NASA Early Career Faculty Award AFOSR Young Investigator (YIP) Award NSF CAREER Award IEEE TCAC Best Student Paper Award (for work from her lab) She has been invited to deliver a plenary talk at CDC 2024 and a keynote talk at ICRA 2025, highlighting her prominence in the control and robotics communities. Her research is supported by multiple grants from agencies including NASA, NSF, and AFOSR. The Distributed Aerospace Systems and Control Laboratory (DASC Lab) is equipped with state-of-the-art facilities including a fleet of UAVs (Hummingbirds, Firefly, and Solos), a high-precision motion capture system with 14 VICON cameras, drone LiDAR, and various sensors. The lab conducts both indoor and outdoor flight experiments, with permission for outdoor flights over the Wave Field at the University of Michigan's North Campus.

Francesco ContinoView profile

Professor

• Internal Combustion Engines
• Combustion
• CFD (Computational Fluid Dynamics)
• +5 more

Francesco Contino is a Professor at the Department of Applied Mechanics, Vrije Universiteit Brussel (VUB). His research focuses on combustion systems, internal combustion engines, computational fluid dynamics (CFD), and energy systems. He has led over 25 projects since 2012, including collaborations with institutions like ULB and UMons. Notable achievements include the 2012 Adolphe Van Tiggelen Award for his contributions to combustion science. His work spans ammonia synthesis, gas turbine optimization, and renewable energy integration. Contino has supervised 16 research projects and authored 146 publications, with a research output growing steadily since 2009. Key projects include the Belgian Energy System (BEST) initiative exploring electrofuels and carbon capture, as well as modular linear actuation systems for reciprocating compressors. His research emphasizes practical applications, such as resilient ammonia production processes and dynamic engine control strategies. Contino frequently presents at international conferences, including discussions on ammonia-fueled SI engines and laminar flame behavior. Research Highlights: Combustion dynamics and emissions reduction in SI engines Numerical modeling of high-pressure laminar flames Optimization of gas turbine operational flexibility His work bridges fundamental combustion science with industrial applications, addressing challenges in sustainable energy and propulsion systems.

• Machine Learning
• Artificial Intelligence
• Clinical Movement Analysis
• +6 more

Espen Alexander Furst Ihlen is an Associate Professor at the Department of Neuromedicine and Human Movement Science (INB), Norwegian University of Science and Technology (NTNU). His research focuses on the application of machine learning and artificial intelligence in clinical movement analysis , with particular emphasis on non-linear time series analyses (Hilbert spectral analyses, wavelet decompositions, multifractal analyses) and fractional stability of movement data. He leads the DeepInMotion project (2021-2025) for explainable AI in infant movement biomarker discovery and contributes to the PROMISE project on early cerebral palsy diagnosis. Bachelor in Human Movement Science (1999-2003) Master in Human Movement Science (2003-2007) PhD in Clinical Medicine (2009-2014) His publications (2025-2009) demonstrate consistent work in infant movement tracking for cerebral palsy prediction, elderly activity classification using wearable sensors, and phase-dependent gait stability research. Recent articles (2025-2024) focus on explainable AI methods and neural architecture search for clinical applications. Earlier works include ski jumping performance analysis and hip fracture gait assessment . Teaching assignments include Biomechanics (BEV2005) , Measurement of Physical Activity (BEV2101) , and Signal Processing in Matlab (BEV3201) . Affiliated with the Bevegelsessenteret (Movement Analysis Center) on clinical movement analysis and software development.

Christel Bidet-IldeiView profile

Professor

• Perception-action relationship
• Perceptual-motor development
• Action understanding
• +3 more

Christel Bidet-Ildei is a Professor at the Faculty of Sport Sciences, University of Poitiers, and serves as Director of the Cognition and Learning Research Center (CeRCA) and MSHS. Her research focuses on the perception-action relationship , perceptual-motor development , and action-semantics relationship , with applications in motor rehabilitation and educational psychology. University of Poitiers, Faculty of Sport Sciences CeRCA Research Center leadership Collaborations: University of Tokyo, University of Tübingen, Grenoble University Hospital, SCALAB (Lille), SMAS (Geneva), CHArt (Paris-Créteil) Research Interests span sensorimotor integration, biological motion perception, and the interplay between action observation and language processing. Her work explores how motor experiences shape cognitive functions, particularly in aging and autism spectrum disorders (ASD), using point-light displays and kinematic analysis. Recent Publications highlight the role of kinematic observation in memory performance (2025), motor rehabilitation applications (2024), and developmental studies on action-language links (2022). She co-developed the PLAViMoP database for standardized point-light display research (2022). Supervision includes PhD students Sophie-Anne Beauprez (2015-2018), Aurélie Benchekri (2020), Evan Launay (2020), and Victor Francisco (2021), focusing on autism-related motor disorders, rehabilitation techniques, and embodied cognition. Academic Leadership includes directing the EXSECO team (2018-2022), managing CeRCA’s embodied cognition group (2013-2021), and coordinating Master’s programs in Rehabilitation Engineering (2015-2021).