Find Academic Supervisors

Tor SöderströmView profile

Professor

• Sports Science
• Educational Technology
• Athlete Development
• +3 more

Tor Söderström is a Professor at the Department of Education at Umeå University. His research focuses on learning and development in sports, computer simulation training, and professional knowledge development in police education. He has contributed extensively to understanding talent identification in sports, particularly in Swedish football, and the efficacy of simulation-based training methodologies in law enforcement education. His research spans topics including athlete development trajectories, the impact of physiological testing on elite athlete performance, and the role of childhood athletic ability in long-term sports participation. Notable projects include a study on dropout processes in Swedish football talent systems and analyses of Swedish gym-goers' training patterns over two decades. Publications highlight interdisciplinary approaches, combining sports science, sociology, and educational technology. Recent work explores children’s rights in sports through scoping reviews and examines athlete retention strategies from adolescence into adulthood. His research often emphasizes practical applications in training design and policy development for both sport and professional education sectors. No scientific awards are explicitly mentioned in the provided texts. His work has involved collaborations with institutions like the Swedish Football Association and police education programs, focusing on scenario-based training methodologies and competency development in high-stakes professions.

• Sports Science
• Artificial Intelligence in Sports
• Sport Officiating
• +3 more

Michael O'Keeffe serves as an Adjunct Senior Fellow at the School of Human Movement and Nutrition Sciences, The University of Queensland, where he conducts research at the intersection of sports science and technological innovation with a focus on sport officiating systems and athlete development processes. His primary research interests include Sports Science, Artificial Intelligence in Sports, Sport Officiating, Exercise Science, Human Movement, and Technology in Sports. O'Keeffe's work critically examines how AI-driven ecologically dynamic systems can transform traditional sports training methodologies and officiating frameworks, emphasizing practical applications for performance enhancement and fair play. O'Keeffe's 2022 publication demonstrates a clear research trajectory bridging computer science and sports biomechanics, with recurring themes in technological integration for dynamic sports environments. His work consistently addresses Sport Technology, Artificial Intelligence applications, Sport Officiating Systems, Ecological Dynamics modeling, Sports Training Methodology refinement, and Performance Analysis techniques across the sports science domain.

• Textile Engineering
• Textile Design
• Yarn Technology
• +5 more

Asst. Prof. Zehra Evrim Kanat serves as an Assistant Professor in the Textile and Fashion Design Department at Canakkale Onsekiz Mart University's Faculty of Fine Arts since 2020, following research assistant roles at Tekirdağ Namik Kemal University (2014-2020) and Ege University (2009-2014). Her expertise bridges academic research and industry applications in textile engineering. Her educational foundation includes: Doctorate in Textile Engineering from Ege University (2008-2013) Postgraduate in Textile Engineering from Ege University (2005-2007) Undergraduate in Textile Engineering from Ege University (1997-2002) Dr. Kanat's research centers on textile engineering and design, with specialized focus on thermal and moisture management properties of fabrics. She investigates yarn technology, cloth construction, and smart textile applications to enhance comfort in sportswear and technical garments. Her methodological approach integrates artificial neural networks and statistical modeling for predictive analysis of fabric behavior under varying humidity conditions, contributing significantly to thermophysiological comfort research. Publication trends reveal consistent advancement in thermal resistance modeling of knitted and woven fabrics, with recent expansion into smart textiles for sports applications and biomimetic design principles. Her work demonstrates strong interdisciplinary connections between textile science, materials engineering, and functional apparel design. Her research leadership includes: EU-supported project on Textile Insights and Future Aspects (2023-2024) Study on Hatay Silk's fiber properties versus Chinese-Japanese hybrid silk (2022-2023) TUBITAK-funded expert system for woven fabric defect diagnosis (2017-2018) Multiple projects on moisture management properties of technical textiles Dr. Kanat actively contributes to academic discourse through peer review for leading textile journals and participates in interdisciplinary art exhibitions that explore cultural and historical textile narratives.

Sylvie AlbertView profile

Professor

• Smart Cities
• Sustainable Urban Development
• Digital Innovation in Governance
• +4 more

Dr. Sylvie Albert is a Professor of Strategy and Leadership at the University of Winnipeg, former Dean of the Faculty of Business and Economics, and past Associate Dean of Laurentian University's Faculty of Management. With 15 years in academia, she has extensive experience in municipal/provincial governance, management consulting, and economic development. A leading expert in smart cities and digital urban innovation, her work bridges academia, policy, and practice through roles like Senior Advisor to Infrastructure Canada's Smart Cities Challenge and lead jurist for the Intelligent Community Forum. Her research focuses on sustainable urban development, digital governance, and community telecommunication networks, informed by activism on local-to-international boards and think tanks. She is authoring her fourth book on smart cities and has led projects nationwide through her consultancy, Planned Approach Inc. Education & Experience: 12 years in government roles 10 years in management consulting Founder/owner of Planned Approach Inc. (economic development consulting) Leadership roles in Northern Ontario economic development corporations Research Interests: Her interdisciplinary work examines strategy development , entrepreneurship , innovation ecosystems , and the intersection of digitalization with urban policy. Key themes include: Smart/intelligent/sustainable city frameworks Community wireless networks and ICT adoption Online learning pedagogy in business education Labour market barriers for immigrant professionals Grants & Advising: Her advisory contributions include: Global Forum on Digitalization in Europe (yearly participation) Infrastructure Canada's Smart Cities Challenge (Senior Advisor) UN Voluntary Local Reviews methodology development Her consultancy work emphasizes economic development projects and smart community planning across Canada. Labs & Collaborations: Engaged with global networks like the Intelligent Community Forum and cross-sectoral partnerships to advance urban innovation, digital equity, and participatory governance models.

Jamie CollinsView profile

Professor

• Strategic Management
• Entrepreneurship
• Innovation
• +3 more

Jamie Collins is a Professor in the Department of Management at Texas Tech University's Rawls College of Business. He holds a PhD in Strategy & Entrepreneurship from Texas A&M University, along with an MBA and BS in Finance. Prior roles include Professor and UC Chair of Strategy at the University of Canterbury (New Zealand) and Director of Sam Houston State University's Center for Entrepreneurship. His research focuses on strategic leadership perceptions, innovation investments, and teaching approaches' impact on student success. He has taught at Clemson, Texas A&M, and Baylor, with visiting roles in Belgium and Italy. Collins teaches strategic management, entrepreneurship, and international management courses. Key research areas include entrepreneurial intuition, venture creation, and the intersection of gender/equality in business programs. His 2020-2024 publications emphasize innovation strategies, educational methodologies, and behavioral skills development. He has collaborated across disciplines from military training to sports performance optimization.

Chris FreemanView profile

Professor

• Iterative Learning Control
• Repetitive Control Theory
• Biomedical Engineering
• +7 more

Chris Freeman is a Professor of Robotics and Control at the University of Southampton's Electronics and Computer Science (ECS) school. His research focuses on iterative learning control theory, biomedical engineering, and robotics with applications in industrial automation and healthcare. As Deputy Head of School (Equity, Diversity and Inclusion) and Chair of the ECS Belonging, Inclusion, Diversity and Equity (BIDE) Committee, he drives initiatives promoting inclusive academic environments. Freeman leads multidisciplinary research projects such as "Towards intelligent, pervasive, high performance control system architectures" "Elder Athletes: building incidental interaction at home" "Low-cost personalised instrumented clothing with integrated FES electrodes" . His work combines robotics, functional electrical stimulation (FES), and wearable technologies to develop rehabilitation systems for stroke patients and industrial automation solutions. His recent publications demonstrate expertise in iterative learning control (ILC), model predictive control, and biomedical applications. Research groups include: Digital Health and Biomedical Engineering Institute for Life Sciences Centre for Health Technologies Centre for Robotics

Stefan DumaView profile

Professor

• Biomechanics
• Injury Biomechanics
• Impact Biomechanics
• +7 more

Stefan Duma is the Harry C. Wyatt Professor of Engineering and a University Distinguished Professor at Virginia Tech. He is currently serving as Interim Department Head in the Department of Biomedical Engineering and Mechanics within the College of Engineering. He also directs the Institute for Critical Technology and Applied Sciences and leads the Virginia Tech Helmet Lab. His educational background includes: Ph.D. in Mechanical Engineering from the University of Virginia (2000) M.S. in Industrial Engineering from the University of Cincinnati (1996) B.S. in Mechanical Engineering from the University of Tennessee (1995) Dr. Duma's research focuses on injury and impact biomechanics, with applications in automobile safety design , sports biomechanics (especially football and hockey), and military restraint systems . His work investigates head and neck injury mechanisms, concussion thresholds, and protective equipment performance. He has pioneered methodologies for evaluating helmet safety and individualized injury tolerance. The recent publications reflect a strong focus on head impact biomechanics , concussion prediction , and wearable sensor validation . The research spans youth and collegiate sports, drone impact risks, and automotive safety. Key themes include individual variability in injury response, helmet performance assessment, and translational safety applications. Scientific recognition includes his appointment as a University Distinguished Professor and leadership roles, though specific awards are not listed in the provided text. Dr. Duma advises a team of researchers and students, including Steven Rowson, Abigail Tyson, and Eamon Campolettano. His lab has secured significant research funding (implied by patent and publication volume), particularly in developing safety standards and injury prevention technologies. The Virginia Tech Helmet Lab is central to his research, conducting experiments with human volunteers, PMHS, and advanced instrumentation. His lab, the Virginia Tech Helmet Lab, is a leading center for impact biomechanics research, focusing on real-world safety challenges in sports, transportation, and emerging technologies like drones.

Peter FinoView profile

Assistant Professor

• Biomechanics
• Motor Control
• Neurorehabilitation
• +7 more

Peter Fino is an Assistant Professor in the Department of Health, Kinesiology, and Recreation within the College of Health at the University of Utah. He directs the Neuromechanics and Applied Locomotion Lab, which is situated within the Cognitive and Motor Neuroscience research theme. His research focuses on understanding and improving mobility in individuals with neurological dysfunction, particularly those with brain injuries, using core concepts from biomechanics and motor control to develop better diagnostic tools and rehabilitation approaches. Dr. Fino's research explores how humans maintain stability during everyday activities that require complex motor control. His primary areas of investigation include: Foot placement control during walking and turning on uneven surfaces Balance recovery mechanisms following perturbations Effects of neurological conditions like concussion and Parkinson's disease on gait Development and application of inertial sensor technology for clinical assessment Neuroanatomical correlates of motor dysfunction after brain injury Nonlinear dynamics approaches to understanding human movement His lab employs a multidisciplinary approach, collaborating with engineers, clinicians, physical therapists, and neuroscientists to translate research findings into practical applications that improve people's lives. Current projects examine mobility in populations with traumatic brain injury, Parkinson's disease, and other neurological conditions, with particular focus on turning gait, dual-task performance, and objective measurement of balance recovery using wearable sensor technology. Dr. Fino actively mentors a diverse research team comprising PhD students, MS students, research coordinators, and undergraduate researchers. His lab has produced numerous graduates who have gone on to academic positions, clinical research roles, and healthcare professions. He maintains strong collaborative relationships across the University of Utah and with external institutions including Oregon Health & Science University, University of Nebraska Omaha, and US Army-Baylor Physical Therapy. The lab participates in outreach through National Biomechanics Day and partnerships with high school programs to introduce students to biomechanics and neuroscience.

• 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.

• Machine Learning
• Medical Imaging
• Health Informatics
• +3 more

Aonghus Lawlor is an Assistant Professor/Lecturer in Computer Science at the School of Computer Science, University College Dublin. His roles include coordinating modules such as Software Engineering, Data Structures, Machine Learning, and Final Year Project Foundations. He holds an Orcid identifier: 0000-0002-6160-4639. His research focuses on machine learning applications in medical imaging (e.g., MRI, CT), sports science, and healthcare systems. Notable areas include AI-driven diagnostics, cybersecurity in radiology, and genomics for agricultural optimization. Recent work explores ChatGPT4-vision in MS progression, knee osteoarthritis grading via anomaly detection, and reinforcement learning in exercise prescriptions. Professional activities include committee roles in ACM Recommender Systems and Intelligent User Interfaces, grant assessments, and peer reviewing. He has published 137+ outputs, emphasizing interdisciplinary AI solutions with clinical and agricultural impact. Teaching responsibilities span foundational CS courses to advanced ML and project modules. No formal awards are listed, but his work demonstrates contributions to AI ethics, health informatics, and agricultural genomics.

• Agricultural Economics
• Food Policy
• Policy Analysis
• +3 more

Prof. Zoltán Károly Lakner is a Professor at the Hungarian University of Agriculture and Life Sciences, affiliated with the Department of Agricultural and Food Economics. His research focuses on applying dynamic systems theory, econometrics, and artificial intelligence to analyze food supply networks, agricultural policy, and socio-economic systems in Africa and Central Asia. Key areas include big-data modeling of complex systems, game-theory applications, and open-source intelligence tools in innovation policy. He leads the SafeConsume H2020 project, developing strategies to mitigate foodborne illness risks through consumer education and prototype tools. His work spans food policy analysis, climate change impacts on agriculture, and ethical food consumption behaviors. Education details not explicitly provided in text. Research interests emphasize quantitative methods in agricultural economics, econometrics-driven policy analysis, and interdisciplinary approaches to global food challenges. Recent publications explore bioenergy expansion effects, water tax policy implications, and post-Paris Agreement green finance trends. No scientific awards explicitly stated in the text. Grants include the Horizon 2020 SafeConsume project. Active in advising and mentoring, though specific student names are not listed. Affiliated with the Szént István Campus in Gödöllő, contributing to institutional research and policy initiatives.

Terri L. WeaverView profile

Professor

• Trauma Psychology
• Interpersonal Violence
• Posttraumatic Stress Disorder
• +3 more

Dr. Terri Weaver is a Professor in the Clinical Psychology Program at Saint Louis University's Department of Psychology. She holds a Ph.D. from Virginia Tech and completed clinical training at Medical University of South Carolina. Her research examines interrelationships between traumatic life events (particularly interpersonal violence) and physical/mental health outcomes, with focus on PTSD, body image disturbances, and depression. Key research areas include: Trauma-informed healthcare approaches Body shame in abuse survivors Cross-cultural manifestations of trauma She directs the Violence and Traumatic Stress Laboratory and teaches graduate/undergraduate courses including Psychopathology, Psychology of Trauma, and Feminist Research Methods. Current projects investigate trauma sequelae in diverse populations including military veterans and marginalized communities. Her publications (2017-2025) explore intimate partner violence, mindfulness interventions, and health disparities. Recent work emphasizes embodied trauma experiences and integrated treatment models.

Colin DrummondView profile

Professor

• Simulation
• Healthcare Informatics
• Wearable Technology
• +3 more

Colin Drummond, PhD, MBA is a Professor in the Department of Biomedical Engineering at both the Case School of Engineering and School of Medicine , where he also serves as Assistant Department Chair. His research focuses on simulation and applied informatics to enhance healthcare decision-making with translational applications in wearable technology and conversational agents for isolated patients. Doctorate in Biomedical Engineering (PhD) Master of Business Administration (MBA) Research interests span healthcare informatics , wearable analytics , and clinical decision support systems . Recent work explores: Physiological monitoring through wearable sensors Heart rate accuracy in consumer devices like Apple Watch Conversational agents for polypharmacy management Performance assessment in athletes and post-surgical rehabilitation

TANIA FERNÁNDEZ VILLAView profile

Associate Professor

• Preventive Medicine
• Public Health
• Nutritional Epidemiology
• +5 more

Tania Fernández Villa is an Associate Professor in the Department of Biomedical Sciences at the Faculty of Veterinary Medicine, University of León. Her primary academic affiliation centers on preventive medicine and public health research within the GIIGAS (Interactions Gene-Environment-Health) research group. Her research spans nutritional epidemiology, gender studies in food systems, substance use disorders, and chronic disease prevention. Key focus areas include alcohol consumption patterns among university students (via the UniHcos cohort), sarcopenia in metabolic syndrome, breast cancer risk factors, and pandemic impacts on health behaviors. Her work integrates longitudinal cohort analysis, systematic reviews, and psychometric validation studies. Recent publications demonstrate strong trends in gender-disaggregated health research, pandemic-related behavioral shifts, and methodological innovations in dietary assessment. Her 2024-2025 output shows increasing emphasis on environmental sustainability of diets and multi-cancer risk prediction models. She serves on the editorial board of the Spanish Journal of Human Nutrition and Dietetics, contributing to strategic planning (2020-2026) and open science initiatives. Her PhD from Universidad de Granada focused on ICT usage patterns among university students. Current projects include the UniHcos longitudinal study tracking health behaviors in Spanish university students, with particular attention to alcohol use, sleep patterns, and nutritional status. Her research group actively investigates gene-environment interactions in public health contexts.

Kristian O'ConnorView profile

Professor

• Biomechanics
• Musculoskeletal Injury
• Sports Medicine
• +5 more

Kristian O'Connor is a Professor in the Department of Kinesiology within the College of Health Sciences at the University of Wisconsin-Milwaukee, where he also serves as Associate Vice Provost for Research Education. His academic credentials include a Ph.D. in Exercise Science from the University of Massachusetts (2002), an M.S. in Exercise Science from Arizona State University (1998), and a B.A. in Physics from Colorado College (1994). Dr. O'Connor's research centers on the biomechanics of musculoskeletal injury, with particular emphasis on knee injury mechanisms during sports activities. His work investigates how neuromuscular fatigue contributes to increased injury risk in conditions like anterior cruciate ligament (ACL) tears and anterior knee pain, and explores its role in osteoarthritis progression. A significant innovation in his research involves developing portable single-camera 3D motion capture technology for clinical settings, eliminating the need for specialized laboratory environments. Analysis of his 15 most recent publications reveals consistent focus on age-related movement changes, knee biomechanics during dynamic tasks, and fatigue-induced injury mechanisms. His work spans geriatric mobility, athletic performance, and clinical rehabilitation, with strong methodological emphasis on motion analysis and neuromuscular assessment. Key trends include transition step descent biomechanics, visual-motor integration in aging populations, and foot-joint coupling dynamics in runners. Dean’s Award for Outstanding Service (2016), College of Health Sciences As Associate Vice Provost for Research Education, Dr. O'Connor oversees research training programs while maintaining active NIH-funded research. His recent grants include NIH R44HD068147-02 ($1.5M) and R43HD068147-01 ($215k) for developing clinical gait assessment tools, plus industry funding from Sport Biomechanics, Inc. His research program integrates motion capture technology development with fundamental injury mechanism studies, focusing on translating laboratory findings to clinical applications for injury prevention and rehabilitation. Dr. O'Connor leads a biomechanics research laboratory focused on developing portable motion analysis systems and investigating injury mechanisms across diverse populations including athletes, older adults, and clinical patients. His team's development of single-camera 3D motion tracking represents a significant advancement toward accessible clinical biomechanics assessment.