Find Academic Supervisors

Linda LintonView profile

Medical Educator

• Sports Physiotherapy
• Musculoskeletal Health
• Injury Prevention
• +3 more

Linda Linton is an Advanced Practice Sports and Musculoskeletal Physiotherapist and Medical Educator at Queen Margaret University, with a career spanning over 25 years. She serves as clinical lead at FASIC Sport & Exercise Medicine Clinic for back, neck, and pelvic/hip conditions and supervises PhD students in aquatic therapy research. Her work bridges clinical practice, education, and research in injury prevention and rehabilitation. BSc(HONS) Physiotherapy (University of Ulster, 1994) PG Cert Sports Physiotherapy (Manchester Metropolitan University, 1997) MMACP (Glasgow Caledonian University, 2000) MSc Manual Therapy (Glasgow Caledonian University, 2005) PG Cert Diagnostic Musculoskeletal Ultrasonography (University East London, 2018) Injection Therapy (Queen Margaret University, 2022) Linton’s research focuses on running-related injury prevention, aquatic therapy for low back pain, and physical activity promotion. Her work includes scoping reviews on injury risk reduction practices, meta-analyses of exercise-based prevention programs, and qualitative studies on community aquatic therapy. She pioneered Prehabilitation for Runners Workshops and investigates neuromuscular training, gait re-education, and aquatic muscle activity patterns. Her publications span journals like Journal of Sports Rehabilitation , Physiotherapy , and Physical Therapy in Sport , with recent 2024-2025 studies addressing aquatic therapy mechanics, running injury prevention frameworks, and swimmer injury risk factors. She collaborates with Edinburgh Sports Medicine Research Network and Bath Research Centre in the IOC Research Centre. Linton supervises PhD students in aquatic therapy projects and integrates load management, strength training, and running biomechanics into her clinical education. Her work emphasizes practitioner-patient collaboration and evidence-based strategies to reduce injury risks across athletic populations.

Qingguo LiView profile

Professor

• Biomechanical system design
• Energy harvesting
• Wearable sensors
• +4 more

Qingguo Li is a Professor and Associate Head at the Department of Mechanical and Materials Engineering , Queen's University , and a member of the Ingenuity Labs Research Institute . He specializes in biomechanical system design, energy harvesting, wearable sensors, gait analysis, and load carriage systems. His research integrates robotics, biomedical engineering, and sensor technology to develop human-centric devices and mobility aids. Current Roles : Professor, Associate Head, Queen's University Research Institute : Ingenuity Labs Research Institute Lab : Bio-Mechatronics and Robotics Laboratory His work focuses on biomechanical energy harvesting , IMU-based motion analysis , and assistive device development . Key applications include stroke rehabilitation, gait monitoring, and wearable power generation systems. Articles span cable-driven robots , smart walkers , and 3D printing mechanisms , emphasizing human-robot interaction and dynamic modeling . The lab explores sensor calibration , adaptive control algorithms , and human movement optimization . Areas of impact include rehabilitation engineering , load carriage stability , wearable sensor accuracy , and assistive robotics . His team develops solutions for gait asymmetry detection , post-stroke mobility , and low-cost energy systems , leveraging machine learning and kinetic modeling .

• Nuclear Magnetic Resonance (NMR)
• In vivo imaging
• MRI pulse sequence development
• +7 more

Professor Guy Williams is a leading academic at the University of Cambridge with a focus on imaging science and clinical neurosciences, affiliated with Downing College and the Wolfson Brain Imaging Centre . Holding a PhD in Physics from his initial Natural Sciences degree, he specializes in nuclear magnetic resonance (NMR) and MRI techniques for brain imaging. Education: BA, PhD in Physics His research centers on non-invasive imaging of brain structure and function, particularly in traumatic brain injury (TBI) and dementia. His work involves developing novel MRI pulse sequences and advanced data analysis algorithms, including AI-based diagnostic tools. He leads studies on white matter integrity post-trauma, longitudinal dementia assessment, and applications of MRI in disorders of consciousness and addiction. Recent publications highlight collaborations in traumatic brain injury outcomes, AI-guided dementia prediction, and neuroimaging of post-COVID cognitive deficits. His team's work on ultra-high field laminar fMRI and distortion correction methods has advanced clinical neuroscience applications. Key techniques include diffusion tensor imaging (DTI), 7 Tesla MRI, and positron emission tomography (PET/MR). His research spans from basic NMR physics to clinical translation, with a strong emphasis on multi-site studies and real-world diagnostic implementation.

Kris BeattieView profile

Lecturer

• Exercise Physiology
• Strength Training
• Endurance Athletes
• +3 more

Dr. Kris Beattie is a Lecturer in the Department of Sport and Health Science at Technological University Dublin (TU Dublin). He specializes in sports science education, coordinating modules such as Human Physiology 2, Sport & Exercise Physiology, and Applied Coaching Science. His research focuses on the physiological adaptations of strength, speed, and endurance training in athletes, particularly in endurance athletes and combat sports like boxing. Beattie holds a PhD from the University of Limerick (2012–2016), an MSc in Sports Physiology from Liverpool John Moores University (2008–2009), and a BSc (Hons) in Sport and Exercise Sciences from Ulster University (2005–2008). He is a UKSCA-accredited Strength & Conditioning coach. Beattie’s research interests include strength training modalities for sprint performance, physiological adaptations in Gaelic football and boxing, and the biomechanics of athletic movements. His work bridges theoretical and applied aspects of sports science, emphasizing practical applications in coaching and athlete development. Recent studies explore sprint testing methods in Gaelic games, strength characteristics of female athletes, and the role of maximal strength in punch impact force in boxing. His publications span peer-reviewed journals like the International Journal of Performance Analysis in Sport and Journal of Strength and Conditioning Research , with a focus on systematic reviews and empirical studies. Though no specific awards are listed, his h-index of 7 reflects growing recognition in sports physiology. Beattie actively collaborates with sports organizations and coaches to inform evidence-based training practices. He currently contributes to TU Dublin’s BSc (Hons) Sports Science with Exercise Physiology program, integrating his research into teaching. Future work likely continues exploring interdisciplinary approaches to athlete development and performance optimization.

• Sport training
• Physical education and sport
• Programming and periodization in sports
• +3 more

Răzvan Sandu ENOIU is a Professor at the Department of Motor Performance, Faculty of Physical Education and Mountain Sports, Transilvania University of Brașov. His work focuses on sport training methodologies, physical education innovation, and the integration of technology in athletic performance analysis. He is affiliated with the university’s research initiatives and has contributed to interdisciplinary studies bridging sports science with educational technology. Research Interests: Sport training programming and periodization Applications of wearable sensors and modern technology in sports Optimization of athletic performance through data-driven approaches Impact of extracurricular activities on motor skills development His publications explore topics such as Alpine skiing performance analysis, vital sign monitoring in athletics, and the sociological effects of technology during the pandemic. Recent work includes advancements in javelin throwing biomechanics and balance training methodologies using Bosu balls. Professor ENOIU collaborates with international journals and contributes to conferences on sports science and child development.

Stephen CobbView profile

Associate Professor

• Biomechanics
• Exercise Science
• Ankle and Foot Pathologies
• +3 more

Stephen Cobb is an Associate Professor in the Department of Kinesiology at the University of Wisconsin-Milwaukee. His research focuses on ankle and foot mechanics during gait, particularly in relation to lower extremity injuries and rehabilitation. PhD in Sport Science, Georgia State University, 2005 MS in Sports Medicine, Georgia State University, 1999 BA in Sports Medicine, Messiah College, 1994 Cobb investigates pathoetiological factors and abnormal gait mechanics linked to foot and ankle pathologies such as plantar heel pain, chronic instability, and foot pain in older adults. His work aims to identify modifiable factors for injury prevention and treatment. Key publication trends include aging, injury rehabilitation, and kinematic analysis in clinical and sports contexts. Selected articles examine fall risk, running injury mechanics, and foot modeling. KIN 220 - Anatomical Kinesiology KIN 320 - Biomechanics KIN 520 - Introduction to Biomechanics Research KIN 590 - Biomechanics of Aging KIN 720 - Advanced Biomechanics Research Stephen Cobb leads the Neuromechanics Lab, advancing research on mobility and rehabilitation. No specific awards or advisees are detailed in the provided text.

• Multisolid dynamics
• Dynamic optimization
• Movement simulation
• +5 more

Gil Serrancoli Masferrer is an Associate Professor in the Department of Mechanical Engineering at the School of Engineering of East Barcelona (EEBE), part of the Polytechnic University of Catalonia (UPC). He is affiliated with the InSup - Research Group in Surface Interaction in Bioengineering and Materials Science and the LAM - Multimedia Applications and ICT Laboratory. His work focuses on biomechanics, computational modeling, and telerehabilitation systems development for clinical applications. Dr. Serrancoli's research spans multisolid dynamics, dynamic optimization, movement simulation, and telerehabilitation systems. His expertise lies in applying computational techniques to solve complex problems in orthopedics, gait analysis, and rehabilitation engineering. His work bridges mechanical engineering with biomedical applications, particularly in musculoskeletal modeling and simulation of orthopedic procedures. He has developed novel computational frameworks for estimating internal musculoskeletal loading and muscle adaptation in various conditions, including hypogravity environments. His recent publications demonstrate a strong focus on in-silico modeling of orthopedic procedures, particularly knee osteotomies (proximal fibular osteotomy versus high tibial osteotomy), with detailed analysis of joint pressure redistribution. He has also pioneered the application of machine learning techniques, particularly recurrent neural networks, to biomechanical problems including cycling biomechanics and running dynamics prediction. His work consistently integrates computational efficiency with clinical relevance. Technical Award - OpenSim+ Advanced Workshop March 2024 Accésit del XLV Congreso de la Sociedad Ibérica de Biomecánica y Biomateriales European Society of Biomechanics Travel Award OpenSim Virtual Workshop - Technical Award OpenSim Visiting Scholar 2017 Enginyers BCN 2018 Dr. Serrancoli leads several competitive R&D projects including 'Muvity: a novel physical telerehabilitation system' for vulnerable populations and 'Simulaciones predictivas in silico para cirugías ortopédicas' (Predictive in-silico simulations for orthopedic surgeries). He collaborates extensively with researchers across Europe, particularly with Jordi Torner, Josep Maria Font Llagunes, and Joan Carles Monllau, and has secured funding from national and regional programs including Plan Estatal de Investigación Científica y Técnica y de Innovación. He is actively involved in the BIOMEC - Biomechanical Engineering Lab and the TecSalut - Research Group in Health Technologies, where he contributes to the development of innovative solutions for healthcare challenges, particularly in the areas of telerehabilitation and computational biomechanics for orthopedic applications.

Michael CottinghamView profile

Associate Professor

• Disability Sport
• Sport Consumer Behavior
• Perceptions of Athletes with Disabilities
• +3 more

Michael Cottingham is an Associate Professor of Sport Administration in the Department of Health and Human Performance at the University of Houston's College of Liberal Arts and Social Sciences. He serves as the Director of Adaptive Athletics at UH, leading a comprehensive disability sport program and research lab that has produced over 50 publications and secured more than $1.3 million in external funding. Dr. Cottingham teaches senior-level undergraduate classes and is involved in the Sport Administration graduate program. B.A. in Political Science, Minor in Sociology at The University of Arizona, 2002 M.S. in Recreation Administration at The University of Southern Mississippi, 2008 Ph.D. in Human Performance concentration Sport Management at The University of Southern Mississippi, 2012 Dr. Cottingham's research focuses on disability sport, particularly examining perceptions of athletes with disabilities, spectatorship and sponsorship in disability sport, and broader topics in sport consumer behavior. His work explores promotional strategies in sport and how these apply specifically to disability contexts. He has conducted extensive research on wheelchair rugby, power soccer, and wheelchair tennis, examining consumer motivations, marketing approaches, and the experiences of athletes and spectators in these sports. Analysis of Dr. Cottingham's recent publications reveals a strong emphasis on disability sport consumer behavior across multiple disciplines including sports marketing, psychology, rehabilitation science, and sociology. His research spans both theoretical frameworks and practical applications, with particular attention to how disability sport programming impacts Latinx populations with mobility impairments. The publications demonstrate interdisciplinary collaboration with researchers in community health, rehabilitation, and sport management fields. As Director of Adaptive Athletics at UH, Dr. Cottingham oversees a program that hosts large-scale disability sport events including the annual Cougar Open wheelchair tennis tournament. The program partners with The Institute for Research and Rehabilitation and runs the Community Healthcare Worker Model Study, which examines the impact of disability sport programming on Latinx with mobility impairments. Through Adaptive Athletics, Dr. Cottingham has developed programs for wheelchair rugby and adaptive tennis, with plans to expand to power soccer and wheelchair basketball. The program has received funding from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) and has established partnerships with organizations including Houston Parks and Recreation, United States Quad Rugby Association, United States Tennis Association, Halliburton Charitable Foundation, and One Step Closer Foundation.

Amy ZavatskyView profile

Associate Professor

• Biomechanics
• Orthopaedic Biomechanics
• Gait Analysis
• +4 more

Amy Zavatsky is a Reader in Engineering Science at the University of Oxford and Tutorial Fellow at St Edmund Hall, with faculty service since 1996. Her work bridges mechanical engineering and clinical orthopaedics, focusing on lower extremity biomechanics and gait analysis within the Department of Engineering Science. Education: BSc in Bioengineering, University of Pennsylvania DPhil in Engineering Science, University of Oxford (Thouron Award recipient) Research Focus: Prof. Zavatsky pioneers orthopaedic biomechanics research with emphasis on foot/ankle kinematics, knee osteoarthritis mechanisms, and gait compensations. Her work integrates theoretical modeling with in vitro experimentation to develop clinical applications for cerebral palsy, flatfoot, and running injuries. Current projects advance multi-segment foot modeling and cognitive-efficient data visualization for clinical gait analysis. Publication Trends: 2021-2025 works reveal three converging themes: (1) Open-source foot modeling ( OpenOFM ), (2) Data visualization for clinical decision-making, and (3) Sensor optimization using statistical methods. These publications consistently bridge engineering innovation with orthopaedic clinical practice through collaborations with the Oxford Gait Laboratory. Scientific Recognition: Philip Leverhulme Prize (2003) for outstanding early-career scholarship University Teaching Award (2008) for biomechanics instruction and MSc Biomedical Engineering development Departmental Teaching Awards: Silver (2021), Bronze (2022) Institution of Mechanical Engineers Thomas Stephen Prize (1993) Academic Leadership: Prof. Zavatsky directs undergraduate engineering tutorials at St Edmund Hall while teaching mechanical/civil/biomedical engineering courses. She previously served as Director of Graduate Studies (2016-17), Acting MSc Biomedical Engineering Director (2006-07), and Junior Proctor (2012-13). Her DPhil supervision targets lower-limb biomechanics projects requiring strong engineering fundamentals. Research Infrastructure: Based at the Institute of Biomedical Engineering (Nuffield Orthopaedic Centre), she collaborates extensively with the Oxford Gait Laboratory. Her biomechanics research group utilizes motion capture systems and multi-segment modeling to translate engineering principles into clinical rehabilitation protocols.

Joshua T. WeinhandlView profile

Associate Professor

• Biomechanics
• Lower Extremity Injury Prevention
• Movement Coordination
• +6 more

Dr. Joshua T. Weinhandl is an Associate Professor in the Department of Kinesiology at the University of Tennessee, part of the College of Education, Health, and Human Sciences. His research focuses on lower extremity injury biomechanics, movement coordination, and neuromuscular control deficits. He teaches courses such as KNS 332 Applied Anatomy and KNS 575 Matlab for Biomechanics. Education: PhD in Biomechanics, University of Wisconsin – Milwaukee MS in Biomechanics, Ball State University BS in Kinesiology, Grenville College Research Interests: Dr. Weinhandl investigates ACL injury mechanisms, knee osteoarthritis, chronic ankle instability, and musculoskeletal injury prevention using kinetic, kinematic, and electromyographic analyses. He emphasizes computational modeling and neuromuscular control to improve intervention strategies. Professional Activities: He serves as a reviewer for journals like Journal of Biomechanics and Medicine & Science in Sports & Exercise , and is a member of the American Society of Biomechanics and the American College of Sports Medicine. Labs: His work aligns with the Biomechanics/Sports Medicine Laboratory and other research groups within the department.

Benjamin ShoreView profile

Associate Professor

• Pediatric Orthopedic Surgery
• Cerebral Palsy
• Hip Reconstruction
• +3 more

Benjamin Shore, MD, MPH, FRCSC, is Associate Professor of Orthopedic Surgery at Harvard Medical School and a practicing pediatric orthopedic surgeon at Boston Children’s Hospital. He serves as Co-Director of the Cerebral Palsy and Spasticity Center and Director of the Pediatric Orthopaedic Surgery Fellowship. Education and Training Undergraduate: Biology, University of Victoria, 1999 MPH: Harvard School of Public Health, 2013 MD: University of Western Ontario, 2003 Residency: Orthopedic Surgery, University of Western Ontario, 2008 Fellowship 1: Pediatric Orthopedics, Royal Children's Hospital, Melbourne, 2009 Fellowship 2: Pediatric Orthopedics, Boston Children’s Hospital, 2010 Research Focus Dr. Shore’s research centers on improving outcomes for children with cerebral palsy and other complex musculoskeletal conditions. His work spans hip surveillance and reconstruction, gait abnormalities, trauma care, and the implementation of evidence-based surgical pathways. He has pioneered investigations into anesthesia protocols, infection prevention, and patient-reported outcome measures for pediatric orthopedic populations. Scientific Awards St. Giles Young Investigator Award (POSNA) Clinician Scientist Development Program Award (CSDP) Charles H. Hood Foundation Child Health Research Award Leadership & Multi-Disciplinary Teams At Boston Children’s Hospital, Dr. Shore leads a high-performance team within the Cerebral Palsy and Spasticity Center that integrates orthopedic surgery, neurology, physical therapy, and social work to deliver patient- and family-centered care. He mentors fellows and residents and actively contributes to national consensus projects using Delphi methodology to standardize surgical indications in cerebral palsy.

Eadric BresselView profile

Professor

• Biomechanics
• Clinical Exercise Physiology
• Aquatic Therapy
• +3 more

Eadric Bressel is a Professor and Head of the Department of Kinesiology and Health Science at Utah State University (USU). He holds a PhD in biomechanics from the University of Northern Colorado and earned his B.S. and M.S. in kinesiology from California State University, Fresno. Prior to joining USU in 2000, he was a postdoctoral fellow at the Auckland University of Technology's health and rehabilitation center. Education: PhD in Kinesiology (Biomechanics), University of Northern Colorado, 1999 MA in Kinesiology (Exercise Science), California State University, Fresno, 1995 BS in Kinesiology (Exercise Science), California State University, Fresno, 1994 Research Interests: Dr. Bressel focuses on biomechanical adaptations to therapeutic exercise in healthy and clinical populations. His work emphasizes spine stabilization exercises, determinants of balance, and aquatic rehabilitation strategies for conditions like osteoarthritis. Recent studies explore the efficacy of aquatic environments for improving motor learning, cognitive performance, and functional outcomes in older adults. Key Research Trends: His publications highlight the biomechanical benefits of aquatic training, including its impact on muscle function, postural control, and injury prevention. Cross-disciplinary studies integrate biomechanics with gerontology and sports medicine, addressing aging populations and athletic performance optimization. Awards: Excellence in Aquatic Physical Therapy Research Award (APTA Aquatic Section, 2016) Researcher of the Year (HPER Department, 2012) Employee of the Year (Kinesiology & Health Science Department, 2017) Top Professor Award (Mortar Board Senior Honor Society, 2004) Advising & Grants: Dr. Bressel has mentored over 40 graduate students, many of whom have contributed to studies on aquatic exercise, balance rehabilitation, and sports biomechanics. He has secured grants to investigate aquatic treadmill training for osteoarthritis, cognitive-aquatic interaction effects, and eccentric resistance protocols. Labs/Teams: His lab focuses on translational research integrating biomechanical analysis with clinical applications. Collaborations with institutions like the Auckland University of Technology and the American Physical Therapy Association highlight his commitment to bridging research and practice in aquatic therapy and sports science.

Jennifer HicksView profile

Research Professor

• Biomechanical Modeling
• Machine Learning in Biomechanics
• Musculoskeletal Dynamics
• +3 more

Jennifer Hicks is the Executive Director of the Wu Tsai Human Performance Alliance at Stanford University, focusing on collaborative research to advance understanding of human performance through biomechanical modeling and machine learning. She also serves as Director of Research for the NIH-funded Mobilize Center and Restore Center, integrating engineering tools into rehabilitation science. Her work emphasizes predictive modeling of surgical outcomes, mobile health data analysis, and exoskeleton design. Dr. Hicks leads software development for the OpenSim project, guiding its user-centric evolution and promoting open-source biomedical tools. Her research spans musculoskeletal dynamics, wearable technology, and clinical applications of AI. Key contributions include smartphone-based motion capture (OpenCap) and foundational datasets like AddBiomechanics. She co-develops training programs for interdisciplinary teams and advocates for large-scale health data utilization. Dr. Hicks' efforts bridge academia and industry, supporting translational research in neurorehabilitation, sports performance, and chronic disease management.

• Exercise Physiology
• Endurance Training
• Cardiovascular Health
• +3 more

Jan Helgerud is a Professor in the Department of Circulation and Medical Imaging at the Norwegian University of Science and Technology (NTNU), Faculty of Medicine and Health Sciences. His research focuses on exercise physiology, endurance training, and cardiovascular health, with particular emphasis on aerobic capacity, muscle strength, and their clinical applications in chronic diseases and rehabilitation. Research Interests: Exercise physiology and its impact on health and disease High-intensity interval training (HIIT) adaptations in athletes and clinical populations Cardiovascular and metabolic responses to exercise Strength training in patients with rheumatic diseases, Parkinson's disease, and spinal cord injuries Physiological determinants of endurance performance in sports like cycling and cross-country skiing Recent Article Trends: Recent work emphasizes the efficacy of high-intensity training protocols for improving aerobic capacity (VO2max) and functional outcomes in diverse populations, including elite athletes and patients with long-term conditions like long-COVID or rheumatic diseases. Studies also explore mechanisms of muscle adaptation, heat tolerance in occupational settings, and digital health tools for exercise assessment. Advising & Grants: Collaborations with colleagues on randomized controlled trials for strength and endurance interventions Focus on translational research linking physiological insights to clinical outcomes Labs/Teams: Active in NTNU's Department of Circulation and Medical Imaging, contributing to interdisciplinary projects in sports science and rehabilitation medicine.

• Artificial Intelligence
• Case-Based Reasoning
• Machine Learning
• +4 more

Prof. Barry Smyth holds the Digital Chair of Computer Science at University College Dublin and serves as Director of the Insight Centre for Data Analytics. A Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) since 2003 and Member of the Royal Irish Academy since 2011, he previously directed the Clarity Centre for Sensor Web Technologies (2008-2013) and led UCD's School of Computer Science and Informatics as Head of School. His research spans Artificial Intelligence with core expertise in case-based reasoning, machine learning, and recommender systems, uniquely applied to domains including e-commerce personalization, health informatics, and sports science. Recent work demonstrates exceptional translational impact through marathon training optimization systems that generate personalized injury-prevention protocols and performance predictions, bridging AI theory with real-world athletic applications. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary AI applications: 60% focus on sports science (particularly marathon running), 25% on privacy-enhanced recommender systems, and 15% on financial time-series analysis. This reflects his strategic shift from pure algorithmic innovation toward high-impact societal applications while maintaining technical rigor in areas like federated learning and contrastive embedding. Barry Smyth's scientific recognition includes: ECCAI Fellowship (2003) Royal Irish Academy Membership (2011) Honorary Doctorate from Robert Gordon University (2014) SFI Researcher of the Year (2014) Over 20 best paper awards Earnst & Young Entrepreneur Finalist (2006) Irish Software Association's Outstanding Academic Achievement Award (2012) His research funding and advisory impact manifests through entrepreneurial success: co-founding ChangingWorlds (acquired for $60M) and HeyStaks (€3M venture capital), while actively advising Irish startups and serving on the Irish Times Trust board. This commercial translation complements traditional grant funding, with his 400+ publications generating 13,000+ citations and an h-index of 58. Leading the Recommender Systems research group at Insight Centre, Smyth directs collaborative projects spanning academia and industry. His teams integrate computer scientists, sports physiologists, and financial analysts to develop deployable AI solutions, notably the marathon training recommendation system used by recreational runners globally and privacy-preserving frameworks adopted by financial technology partners.