جست‌وجوی استاد و پژوهشگر

• Sports Technology
• Sustainability Science
• Systems Modeling
• +۳ مورد دیگر

Fredrik Ståhl serves as a Senior Lecturer at Mid Sweden University within the Faculty of Science, Technology and Media, specifically affiliated with the Department of Engineering, Mathematics and Subject Didactics. He holds a Doctor of Philosophy degree and maintains active research roles through the Sports Tech Research Centre, with physical presence in Östersund (Room Q281A). His educational foundation includes doctoral research completed at Umeå University, culminating in the 2000 dissertation At the edge of space and time - exploring the b-boundary in general relativity . This early work established his expertise in mathematical relativity before his research trajectory evolved toward applied interdisciplinary domains. Ståhl's research demonstrates a profound transition from theoretical physics to practical applications. Initial investigations centered on spacetime singularities and boundary constructions in general relativity, while recent work focuses on sports technology optimization and sustainability systems. His current projects—including Augmented Sports and the Mid Sweden Craft Brewing Lab —leverage mathematical modeling for athletic performance enhancement and regional sustainability frameworks, reflecting an integrative approach bridging engineering, environmental science, and human movement analysis. Analysis of his publication history reveals three distinct research phases: foundational work in mathematical relativity (1997-2002), transitional biomechanics studies (2008), and current sustainability/sports technology applications (2013-2015). This evolution showcases increasing interdisciplinary collaboration, particularly with sustainability researchers like Skytt and Nielsen, while maintaining rigorous mathematical methodology throughout his career. As an active member of the Sports Tech Research Centre, Ståhl contributes to projects examining human performance through computational modeling. His recent conference participations at the International Society for the Systems Sciences and Global Cleaner Production forums indicate strong engagement with global sustainability challenges, particularly through system modeling approaches for Anthropocene governance and long-term decision support tools.

Claudia Tania Picininمشاهده پروفایل

پژوهشگر

• Sustainability
• Innovation
• Knowledge Management
• +۳ مورد دیگر

Claudia Tania Picinin is a Researcher affiliated with the Competitiveness, Innovation and Sustainability (CIS) research group. Her work spans multiple domains including economic development, sustainability transitions, and innovation systems, with particular focus on BRICS nations and industrial economies. She maintains active research collaborations across Brazil and internationally. Her primary research interests include: Sustainability in industrial and organizational contexts Innovation ecosystems and knowledge management frameworks Economic complexity in emerging markets Labor economics and future workforce development Research policy and academic performance metrics Picinin's scholarly output demonstrates consistent focus on sustainability transitions, industrial development, and research evaluation. Recent works (2022-2024) examine Industry 4.0 workforce impacts and economic bloc comparisons, while earlier publications (2018-2021) analyze knowledge management systems, environmental practices in BRICS industries, and bibliometric assessments of regional economies.

Frédérique Ponceمشاهده پروفایل

پژوهشگر

• Cancerology
• Internal Medicine
• Veterinary Oncology
• +۳ مورد دیگر

Frédérique Ponce is a researcher at VetAgro Sup , affiliated with the Veterinary Campus and the Companion Animal Clinic, Leisure and Sport department. Her work bridges veterinary oncology and translational medicine through the UR ICE (Cell Environment Interactions) research unit and the Veterinary University Hospital (CHUV) for companion animals. Created France's only Master's degree in veterinary oncology and European specialist training program (ECVIM-CA) in 2011 Her research focuses on cancerology and internal medicine , particularly canine lymphomas, brain tumors, and nanotechnology applications. Key projects include OSTEHOMDOG (osteosarcoma microenvironment), TheraneaM (glioblastoma brachytherapy), and DELICE (human glioblastoma pig model). Publications emphasize prognostic biomarkers , fluorescence imaging , and cross-species cancer models . Technical expertise includes induced tumor models (e.g., glioma xenografts in pigs) and nanoparticle-based diagnostics , supported by collaborations with institutions like CLB, CLARA, and CLARAFT.

Chris Andersenمشاهده پروفایل

استاد

• Indigenous Studies
• Critical Indigenous Studies
• Racialization of Indigeneity
• +۵ مورد دیگر

Chris Andersen serves as Professor and Dean of the Faculty of Native Studies at the University of Alberta, where he leads academic initiatives in Indigenous scholarship. His leadership extends to editorial roles including editor of aboriginal policy studies and membership on Statistics Canada's Advisory Committee on Social Conditions. His research program critically examines five interconnected domains: (1) Racialization of Indigeneity in Canadian courts with focus on Métis identity; (2) The colonial dynamics of Aboriginal statistics fields; (3) Urban Indigenous identity formation; (4) Critical Indigenous Studies as an intellectual tradition; and (5) Post-WW2 Métis community life. This work is characterized by its methodological rigor in challenging colonial data systems and legal frameworks. Analysis of his 15 most recent publications reveals a consistent focus on decolonizing methodologies across disciplines. His scholarship demonstrates increasing interdisciplinary engagement, connecting legal studies, demography, urban sociology, and critical race theory through Indigenous epistemological lenses. The trajectory shows deepening exploration of statistical sovereignty and community-based knowledge production. Best Subsequent Book Published in Native American and Indigenous Studies Prize (2014) for “Métis”: Race, Recognition and the Struggle for Indigenous Peoplehood Royal Society of Canada's College of New Scholars, Artists and Scientists (inaugural class, 2010) Most Thought Provoking Article Prize in Native American and Indigenous Studies (2010) Andersen's academic mentorship is evident through his development of specialized graduate courses including Native Studies 503 (Aboriginal Identity and Post-Structuralism) and 504 (Critical Race Theory), alongside his leadership in the NS 655 Professional Seminar which prepares doctoral candidates for academic and professional careers. His SSHRC-funded research on post-WW2 Métis communities demonstrates significant grant acquisition capacity.

• Obesity
• Type 2 Diabetes
• Bariatric Surgery
• +۸ مورد دیگر

Dr. Adrian Brown is a Senior Research Fellow at the Centre for Obesity Research, University College London (UCL), and a NIHR Advanced Fellow. He is a Senior Specialist Weight Management and Bariatric Dietitian with 18+ years of clinical experience. His work bridges clinical practice and research in obesity, type 2 diabetes, and nutritional interventions. PhD in Medicine, Imperial College London MSc Dietetics, Leeds Beckett University Postgraduate Diploma & BSc in Dietetics and Sport Science, Leeds Beckett University His research focuses on obesity, bariatric surgery, weight stigma, food insecurity, and sustainable dietary practices. Recent projects investigate ultra-processed diets, digital health interventions, and pandemic impacts on obesity management. He leads the MSc Dietetics (Pre-registration) program at UCL and lectures at institutions like Imperial College London. Key publications include randomized trials on dietary interventions, studies on food purchasing behaviors, and policy analyses for metabolic liver disease management. His work has been widely disseminated across media and academic platforms. NIHR Advanced Fellowship (2023–2028) He chairs the British Dietetic Association's Specialist Obesity Group, serves on boards for the Academy of Nutrition Science and British Nutrition Foundation, and contributes as an editor for Clinical Obesity and Manual of Dietetic Practice.

Charles Markhamمشاهده پروفایل

دانشیار

• Computer Science
• Biomedical Engineering
• Machine Vision
• +۵ مورد دیگر

Dr. Charles Markham is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He graduated with a degree in Applied Physics from Dublin City University and earned his PhD in element specific imaging in computerised tomography. His research spans novel imaging systems, biomedical instrumentation, and human-computer interaction with a strong focus on brain-computer interfaces and motion capture technologies. Research Affiliations: Hamilton Institute, ALL Institute Teaching: Robotics, Computer Graphics, Advanced Computer Architecture Professor Markham's research interests center on novel imaging technologies including coded aperture imaging and wide-baseline stereo systems, motion capture and wearable computing with applications in rehabilitation, and mobile machine vision for driving simulation and augmented reality. His work with the Mathematics and Statistics Ecology group demonstrates interdisciplinary interests in ecological modelling . His publication record shows consistent contributions to brain-computer interfaces (2007-2011), driver behavior analysis (2014-2021), motion capture systems (2006-2009), and optical imaging techniques (2001-2008). The research spans multiple disciplines including neuroscience, biomedical engineering, and ecological mathematics. He has supervised several graduate students including D. Kelly (2009 thesis on sign language recognition) and J. Foody (2007 thesis on motion capture biofeedback systems). His collaborations extend across institutions with partnerships at TU Dublin and University College Dublin.

Jure Demšarمشاهده پروفایل

استادیار

• Neuroinformatics
• Collective behaviour
• Natural phenomena modeling
• +۵ مورد دیگر

Jure Demšar, PhD , is an Assistant Professor at the Faculty of Computer and Information Science , University of Ljubljana . He conducts interdisciplinary research bridging neuroinformatics, collective behaviour, and game development, while actively collaborating with leading institutions worldwide. Education & Academic Journey: PhD studies supported by the prestigious “Inovativna shema” scholarship for promising doctoral researchers. Research visits: three months at Newcastle University (Game Lab & Institute of Neuroscience), three months at University of Groningen (Prof. Charlotte K. Hemelrijk’s lab), one month at University of Houston (Computer Graphics and Interactive Media Lab). Research Interests: Dr. Demšar’s work converges on four core themes: Neuroinformatics & Neuroimaging: development of scalable platforms for multimodal neuroimaging data processing (Qu|Nex, autohrf, bayes4psy R packages). Collective Behaviour & Modeling: adaptive agent-based simulations of predator–prey interactions and flocking, evolution of composite tactics. Computational Psychiatry: mapping brain–behavior relationships along the psychosis and mood spectra, placebo vs. drug neural signatures. Game Development & Personalization: generating personalized game content, GPU-accelerated Bayesian modeling, and recommender systems. Scientific Awards & Recognition: Faculty Award for Outstanding Pedagogic Work, 2017/2018 Faculty Award for Outstanding Research Achievements, 2017 Inovativna shema scholarship for promising PhD students Collaborations & Funding: Dr. Demšar has established long-standing collaborations with: Washington University in St. Louis (Connectome Coordination Facility) – Human Connectome Project Yale University (Anticevic Lab) – Qu|Nex platform Harvard University (Applied Neuroimaging Statistics Laboratory) Internal University of Ljubljana partners: Faculty of Arts, Faculty of Medicine, Faculty of Sport Laboratory & Team: He leads the Bayesian Statistics Project Laboratory , where he mentors students and drives open-source tool development for Bayesian data analysis and neuroimaging workflows.

Liba Sheeranمشاهده پروفایل

عضو هیئت علمی

• Digital Health Technology
• Spinal Kinematics
• Musculoskeletal Disorders
• +۳ مورد دیگر

Dr. Liba Sheeran is a Reader in Physiotherapy and Honorary Senior Research Fellow at Cardiff University's School of Healthcare Sciences. She leads projects in the Population Health research theme within the College of Biomedical and Life Sciences, focusing on interdisciplinary applications of digital health technologies for managing long-term musculoskeletal conditions. PhD in Phenotyping Persistent Back Pain (Cardiff University) MSc in Sports Physiotherapy and Exercise (Cardiff University) BSc (Hons) in Physiotherapy (University of the West of England) Her research integrates digital health technology , artificial intelligence , and biomechanical analysis to address low back pain , osteoarthritis , and sports-related musculoskeletal injuries . Key methodologies include machine learning , computer vision , co-creation , and human-computer interaction . The 15 most recent articles highlight advancements in AI-driven spinal function classification , VR-based chronic pain interventions , and digital tools for workplace back pain management . Common themes include personalized rehabilitation , kinematic phenotyping , and sensor-based movement analysis . Work and Health Challenge Fund Award (2018) Wellcome Trust International Seedcorn Fellowship (2016) Society of Back Pain Research Travelling Fellowship (2016) Health and Care Research Wales RCBC Postdoctoral Fellowship (2015) Dr. Sheeran supervises PhD students in digital health technology and AI applications for musculoskeletal disorders. She has secured over £6.5M in research funding from UKRI, Wellcome Trust, Versus Arthritis, and industry partners like IBM.

• Exercise Physiology
• Health Sciences
• Kinesiology
• +۳ مورد دیگر

Monica Kearney is an Associate Professor in the Department of Allied Health, Kinesiology, and Sport Sciences at Southeast Missouri State University . She specializes in Exercise Science and Health Sciences , with a focus on the pleiotropic effects of exercise in disease prevention and treatment. Her career spans academic research, teaching, and practical experience in corporate fitness. Education: Ph.D. in Exercise Physiology (University of Missouri, 2015) Postdoctoral Research Fellow (Washington University in St. Louis, 2015-2018) M.S. in Nutrition and Exercise Science (Southeast Missouri State University, 2009) B.S. in Health Management-Fitness and Sports Medicine (Southeast Missouri State University, 2005) Research Interests: Monica explores how exercise influences metabolic disorders, particularly type 2 diabetes, focusing on glycemic control, insulin resistance, and hepatic metabolism. Her work bridges exercise physiology with nutritional biochemistry, examining carbohydrate-protein interactions and mitochondrial function. Recent publications highlight exercise interventions, dietary impacts, and hormonal responses in metabolic diseases. Scientific Awards: NIH/NIDDK T32 Post-doctoral Training Grant (2016-2018) Ben R. Londeree/Tom R. Thomas Award for Outstanding Graduate (2015) Outstanding Graduate Student Award, University of Missouri (2012) Professional Involvement: She serves on the American College of Sports Medicine Central States Chapter Board of Directors (2018-present) and reviews for three scholarly journals.

Alecia Thieleمشاهده پروفایل

دانشیار

• Clinical Education
• Physical Therapy
• Sports Medicine
• +۴ مورد دیگر

Alecia Thiele is an Associate Professor and Director of Clinical Education at Clarke University, specializing in clinical education, sports medicine, and ethics in physical therapy. She teaches courses on clinical education experiences, professional development, and ethics, while maintaining an active practice in athletic training and physical therapy. Educational Background: Doctor of Physical Therapy (DPT), Clarke University, 2005-2006 Masters of Science in Education (MSEd), University of Wisconsin-Platteville, 1999-2001 Bachelor’s of Science in Physical Therapy (BSPT), University of Wisconsin-LaCrosse, 1987-1991 Her research focuses on clinical reasoning, integrated clinical education models, and post-intensive care syndrome. She has contributed to studies on functional recovery after critical illness and the role of technology in student engagement. Alecia’s publications emphasize interdisciplinary collaboration, evidence-based rehabilitation, and educational innovation. She has authored works related to the WHO ICF framework and ICU survivorship. Certifications & Memberships: American Physical Therapy Association (APTA), Academy of Education National Athletic Trainers Association (NATA) Wisconsin Physical Therapy Association (WPTA)

Ashley Hugginsمشاهده پروفایل

استادیار

• Post-Traumatic Stress Disorder (PTSD)
• Anxiety Disorders
• Fear Conditioning
• +۳ مورد دیگر

Ashley Huggins serves as Assistant Professor and Clinical Director of the Cognition, Affect, and Traumatic Stress (CATS) Lab in the Department of Psychology at the University of Arizona, where she teaches advanced courses in abnormal psychology and cognitive neuroscience using cutting-edge neuroimaging methodologies. Education B.A., University of Southern California M.S., University of Wisconsin-Milwaukee Ph.D., University of Wisconsin-Milwaukee Clinical Internship in Neuropsychology, Charleston Consortium (Medical University of South Carolina and Charleston VA Medical Center) Research Focus Her work investigates the neurobiological mechanisms of PTSD and anxiety disorders through fear conditioning paradigms and structural/functional MRI , with particular emphasis on brain-based risk factors, resilience in older adults, and socioenvironmental impacts like community violence exposure. She explores critical intersections between cognitive and emotional processes in trauma-exposed populations, utilizing large-scale multi-site collaborations to identify neural biomarkers. Publication Trends Recent publications (2024-2025) demonstrate heavy involvement with the ENIGMA-PGC PTSD consortium, featuring mega-analyses of cerebellar volume reductions, resting-state connectivity disruptions, and differential effects of childhood trauma subtypes. Her work consistently applies data-driven computational approaches to neuroimaging data, revealing how neighborhood disadvantage, threat exposure, and social support modulate neural fear circuits and PTSD symptomatology across diverse populations. Laboratory Leadership As director of the CATS Lab, she oversees research examining neural substrates of traumatic stress through high-resolution fMRI (including 7T studies), fear generalization experiments, and longitudinal assessments of trauma recovery, with direct clinical applications for PTSD treatment development.

Toomas Timpkaمشاهده پروفایل

استاد

• Viral Epidemiology
• Sports Epidemiology
• Infectious Disease Control
• +۷ مورد دیگر

Toomas Timpka is Professor of Social Medicine and Public Health at Linköping University's Faculty of Medicine, where he leads the Athletics Research Center (ARC) and conducts research in viral epidemiology and sports epidemiology. With a medical degree from Karolinska Institutet and a doctorate in medical informatics from Linköping University, he has been actively researching and teaching since the late 1990s. His primary research interests include epidemiological detection, prediction and control of viral infections, as well as sports injury prevention and safety promotion. He has led research on information systems for epidemiological monitoring since 2005 and coordinated the Athletics Research Center since 2008, which was formally designated as a multidisciplinary center encompassing all three faculties at Linköping University in 2014. His recent publications (2023-2025) demonstrate a strong focus on athlete mental health, injury prevention mechanisms, pandemic response evaluation, and the intersection of digital health with sports medicine. Key themes across his work include health disparities in international athletics, mental health consequences of abuse in sports, and real-time evaluation of vaccination programs. Award for young researchers from American Medical Informatics Association (AMIA) 1986 Awards from Swedish Association for Medical Informatics 1986 and 1989 Bud Lawson Award for international research results from LiU's Faculty of Technology 1992 Gold medal for best scientific article at MedInfo 1998 in Seoul, Korea Best presentation at Safety 2008 in Merida, Mexico Professor Timpka has secured significant research funding including SEK 16 million from the Swedish Research Council for real-time evaluation of Covid-19 vaccination (2021-2026), SEK 20 million from the Swedish Agency for Civil Protection for infectious disease control infrastructure, and multiple grants from Vinnova and EU research programs. He serves as Chairman of the Medical Committee at the Swedish Athletics Federation and as Associate Editor for Sports Medicine at the Journal of Science and Medicine in Sports (JSAMS). His research group at the Athletics Research Center conducts international studies on athlete health, including work commissioned by World Athletics for major championships, and has produced notable findings on the relationship between sexual abuse and suicidal thoughts among elite athletes.

Yannick Rudolphمشاهده پروفایل

پژوهشگر

• Business Information Systems
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Yannick Rudolph, M.Sc., is a Research Associate at the Institute for Business Information Systems (IIS) within Leuphana University of Lüneburg. His work focuses on Machine Learning , Artificial Intelligence , and Data Science , with particular emphasis on multiagent systems, explainability, and network modeling. His research interests span Temporal and spatiotemporal modeling of complex systems Deep learning architectures (CNNs, VAEs, GNNs) Information propagation analysis in neural networks AI applications in sports analytics and digital transformation Recent publications highlight trends in masked autoencoders , event classification in soccer , and conditional dependency modeling , reflecting his expertise in integrating theoretical machine learning with real-world application domains. Contact: yannick.rudolph@leuphana.de | Office: C 4.318b, Universitätsallee 1, Lüneburg, Germany

• Human Health Engineering
• Wearable Technology
• Precision Livestock Farming
• +۳ مورد دیگر

Jean-Marie Aerts is a full professor and department chair at the Department of Biosystems within the Faculty of Bioscience Engineering at KU Leuven . He serves as chairman of the Leuven Center for Medical Technology and division head of Bio-Environmental Control and BioAsyst Division . Active member of multiple institutes including DigiSoc – KU Leuven Institute for Digital Society , iSi Health , and Leuven One Health . Head of M3-BIORES research group Chair of Departmental Council for Biosystems Researcher at Animal and Human Health Engineering division His research focuses on Human Health Engineering , with recent projects like WeCARE (wearable technology for childhood cancer care), StressTRACS (stress tracking with wearables), and Precision Biomanufacturing of Joint Implants . Publications span biomedical engineering, movement disorders, and sports performance optimization. Recent article trends show emphasis on machine learning for movement analysis , wearable sensor validation , and cross-sector health technology applications in Parkinson's disease, cerebral palsy, and athlete monitoring.

• Natural Language Processing
• Generative AI
• Social Computing
• +۵ مورد دیگر

Cagri Toraman is an Assistant Professor at Middle East Technical University's Computer Engineering Department, leading the Applied NLP Group. He holds a PhD in Computer Science from Bilkent University (2017) and has industry experience as Software Engineer (Havelsan 2017-2018), Postdoctoral Research Scientist (University of Central Florida 2018-2019), and NLP Team Lead (Aselsan 2020-2023). PhD in Computer Science (Bilkent University, 2017) Postdoctoral Research Scientist (University of Central Florida, 2018-2019) NLP Team Lead (Aselsan, 2020-2023) His research focuses on Natural Language Processing , Generative AI , and Social Computing , with particular emphasis on low-resource language adaptation, hate speech detection, multimodal analysis, and misinformation identification. Recent work examines dataset quality evaluation, transformer optimization with tweet-specific elements, and pejorative language disambiguation for misogyny detection. Notable achievements include receiving the Google Gemma Academic Research Award 2024 . He teaches core courses in Data Structures and Applied Natural Language Processing , emphasizing both theoretical foundations and practical implementation. Research trends show expertise across: Multilingual dataset creation (MiDe22, JL-Hate) Transformer-based hate speech detection Generative AI adaptation for Turkish Ensemble learning in socio-political event extraction Contextual word embeddings analysis Conversational system robustness