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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.

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

Dr. Karim El-Basyouny is a Killam Laureate Professor and City of Edmonton Urban Traffic Safety Research Chair at the University of Alberta's Faculty of Engineering, where he serves as Associate Dean (Research Infrastructure and Innovation) in the Civil and Environmental Engineering Department. A licensed Professional Engineer in Alberta, he holds advanced degrees in Transportation Engineering from the University of British Columbia and has dedicated his career to advancing road safety through data-driven management frameworks. His academic credentials include: Doctor of Philosophy, Civil Engineering, University of British Columbia, 2011 Engineering Management Sub-specialization, Civil Engineering, University of British Columbia, 2010 Master of Applied Science, Civil Engineering, University of British Columbia, 2006 Bachelor's degree (ABET Equivalent), Civil & Environmental Engineering, United Arab Emirates University, 2003 El-Basyouny's research pioneers the integration of remote sensing, machine learning, and statistical modeling to enhance transportation safety. His work develops automated tools for infrastructure digitization, collision prediction, and speed management, treating safety as a systemic product requiring management frameworks. Key contributions include LiDAR-based road feature extraction, network-level safety evaluations, and frameworks for vision-zero outcomes that address both human-driven and autonomous vehicle contexts. His recent publications demonstrate a cohesive research trajectory centered on leveraging point cloud data and computational intelligence for safety management. Over 15 major publications since 2021 focus on automated infrastructure assessment (light pole detection, clear zone mapping, vertical clearance evaluation), weather-impact modeling, and enforcement resource optimization. This body of work bridges transportation engineering with computer vision and operations research to create scalable safety solutions. His scientific contributions have been recognized with prestigious honors including: 2024 Killam Annual Professorship Award 2024 Road Safety Achievement Award from TAC 2023 Donald Stanley Award for environmental engineering 2022 Faculty of Engineering Graduate Teaching Award 2021 Daniel B. Fambro Student Paper Award As an academic leader, El-Basyouny actively mentors graduate students and secures significant research funding through his endowed chair position. He currently recruits fully-funded PhD and postdoctoral candidates specializing in remote sensing applications, machine learning, and geomatics for road digitization projects. His research group collaborates with national safety committees and municipal agencies to translate findings into policy, while he serves on editorial boards for Transportation Research Record and Analytic Methods in Accident Research. The research group operates at the intersection of transportation engineering and computational science, developing automated frameworks that merge sensor technologies with data processing tools. Current projects focus on semantic segmentation of 3D point clouds, safety implications of infrastructure digitization, and machine learning applications for road feature extraction in both urban and rural environments.

• Transportation Engineering
• Road Safety
• Remote Sensing
• +5 more

Richard A. Davis is the Howard Levene Professor of Statistics at Columbia University's Faculty of Arts and Sciences. He is affiliated with the Data Science Institute (DSI) and the Financial and Business Analytics Center. His research focuses on applied probability, time series analysis, stochastic processes, and extreme value theory, with applications to financial data and spatial modeling. He co-founded the Space-Time Aquatic Resources Modeling and Analysis Program (STARMAP), supported by an EPA-STAR grant. Education details are not explicitly provided in the text, but his academic roles indicate advanced qualification in statistics. His work combines theoretical advancements with practical applications, such as analyzing financial time series models (e.g., GARCH) and spatial environmental data. Recent research emphasizes high-dimensional extremes, sparsity, and privacy-preserving methods. His articles explore cutting-edge topics like kernel PCA for multivariate extremes, quantile treatment effects, and goodness-of-fit testing for time series. He has also contributed to applications in healthcare imaging and disaster economics. His collaborative projects aim to bridge statistical theory with environmental and societal challenges. Key contributions include the STARMAP initiative and grants focused on extreme value analysis. His work often integrates advanced statistical techniques with real-world data challenges, reflecting a commitment to both methodological innovation and interdisciplinary impact.

• Applied Probability
• Time Series Analysis
• Stochastic Processes
• +5 more

Dr. Donald Osborn is an Assistant Professor and Program Director of the Graduate Addictions Counseling Division at Indiana Wesleyan University. With over three decades of experience, he serves as a licensed clinical addictions counselor, mental health professional, and ordained minister in the Christian Church/Church of Christ. His career spans roles as a Psychiatric Case Manager, Clinical Supervisor, and Medical Administrative Officer in community mental health and government sectors. Education includes a PhD in Guidance and Psychological Services (Indiana State University, 2013), Master of Arts in Theology (Saint Mary-of-the-Woods College, 1987), and a Bachelor of Arts in Christian Ministries (Lincoln Christian University, 1979). He holds certifications as a National Board Certified Counselor and Master Addiction Counselor. Research interests focus on ethics in behavioral sciences, integration of psychology and theology, addictions education, clinical supervision, and licensure standards. He has authored articles on addiction policy, curriculum development, and professional practice. Notable leadership roles include National President of NAADAC and Chair of the Indiana Behavioral Health Licensure Board. Professional Memberships: NAADAC, ACA, AAMFT, ACES Awards: Senior Fulbright Scholar in Addictions Presentations: Over 20 national and international talks on addiction counseling, licensure, and clinical supervision (2006–2016). Dr. Osborn’s work bridges clinical practice, education, and policy, emphasizing ethical standards and professional development in addiction counseling.

• Addictions Studies
• Mental Health Counseling
• Clinical Supervision
• +4 more

Tracy Epton is a Senior Lecturer at the Division of Psychology & Mental Health, University of Manchester, and a member of the Manchester Centre for Health Psychology. She holds a PhD from the University of Sheffield (2009) and specializes in health psychology, focusing on behavior change interventions and their implementation through randomized controlled trials and systematic reviews. Her roles include Communications Lead for the British Psychological Society’s Division of Health Psychology and membership in the Division’s Training Committee. Education: PhD in Psychology (University of Sheffield, 2009), Postgraduate Certificate in Higher Education (2009), MSc in Psychological Research Methods (2006), and BSc in Psychology (2005). She teaches courses in health psychology at both undergraduate and postgraduate levels, including modules on health behavior change and research methodologies. Research interests center on the effectiveness of behavior change techniques, particularly in clinical and public health settings. She leads projects such as the Manchester Centre for Health Psychology and the Melanoma Prevention initiative. Her work contributes to UN Sustainable Development Goals related to health and well-being. Key projects include evaluating interventions to reduce alcohol consumption in university students and exploring barriers to healthcare professional delivery of behavior change advice. She has authored over 60 publications, emphasizing systematic reviews, meta-analyses, and intervention trials. Media contributions include blogs on goal-setting and self-affirmation in health behavior change. Professional memberships include the British Psychological Society (Chartered Member), European Health Psychology Society, and Fellow of the Higher Education Academy.

• Health Psychology
• Health Behavior Change
• Behavioral Intervention Research
• +3 more

Prof. Dr. Yavuz Yakut serves as full-time Professor and Head of the Department of Physiotherapy and Rehabilitation at Hasan Kalyoncu University's Faculty of Health Sciences since 2016. Previously, he held academic positions at Hacettepe University from 1985 to 2016, progressing from Research Assistant to Professor, while concurrently serving on national committees including the Ministry of Health and Ministry of Finance Budget Implementation Commissions (1997-2003) and YÖK Physiotherapy Sub-Commission (2013-2016). His educational foundation includes a Bachelor's (1984), Master's (1987), and PhD (1990) in Physiotherapy and Rehabilitation, all completed at Hacettepe University. Yakut's research demonstrates exceptional breadth across rehabilitation science, with concentrated expertise in biomechanics and scoliosis rehabilitation . His work significantly advances neurological rehabilitation for conditions like multiple sclerosis and cerebral palsy, while pioneering applications in burn rehabilitation and orthotics/prosthetics . Recent publications reveal strategic integration of biopsychosocial models and telerehabilitation , particularly addressing pandemic-related challenges and chronic disease management across diverse populations. Analysis of his 2023-2025 publications shows consistent interdisciplinary innovation: validating cross-cultural assessment tools (e.g., Turkish translations of scoliosis and ADL questionnaires), developing novel exercise protocols (dance therapy, cognitive exercise therapy), and investigating rehabilitation responses in complex cases including HIV, rheumatic diseases, and post-earthquake trauma. His methodology frequently combines biomechanical analysis with patient-centered outcomes, demonstrating particular rigor in controlled trials for spinal deformities and burn recovery. His leadership extends beyond direct research through committee roles shaping national rehabilitation policy and educational standards, including his current departmental leadership and recent systematic review on physiotherapy distance education during pandemic disruptions.

• Rehabilitation Science
• Physiotherapy
• Biomechanics
• +5 more

Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.

• Japanese Applied Linguistics
• Second Language Acquisition
• Language Education Policy
• +7 more

Hilda Tellioglu is an Associate Professor and Dean of Academic Affairs for Informatics at TU Wien, leading the Artifact-based Computing and User Research department. She holds a dual role as Head of Research Unit and oversees the Office of the Dean. Her work focuses on Human-Computer Interaction (HCI), Design Thinking, and Digital Transformation, with a strong emphasis on socio-technical systems and participatory design methodologies. Research interests span software engineering, CSCW, ambient assisted living (AAL), and digital co-creation practices in urban planning. She has spearheaded projects like aspern.mobil LAB, EnviSense, and StreetForum, exploring smart mobility, environmental sensing, and citizen participation in urban development. Her work frequently integrates tangible interfaces and model-based design approaches. Key contributions include frameworks for digital transformation evaluation (EEFCET 2020), user-centered design for informal caregivers (TOPIC platform), and crisis management systems using crowdsourcing (RE-ACTA). She has led over 20+ research projects funded by FFG, EU, and national agencies, focusing on mobility innovation, healthcare technology, and sustainable urban systems. Teaching responsibilities include courses on Design Thinking, Digital Transformation, and Research Methods across bachelor's, master's, and PhD programs. She actively promotes interdisciplinary collaboration through initiatives like the Center for Technology & Society (CTS) and Living Lab methodologies.

• Software Engineering
• Computer Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• +5 more

Dr. Janie McClurkin Moore is an Assistant Professor in the Department of Biological and Agricultural Engineering at Texas A&M University, part of the College of Agriculture & Life Sciences. Her research focuses on post-harvest technologies, food safety, and innovative engineering education strategies. She holds a PhD in Agricultural and Biological Engineering from Purdue University and has extensive expertise in applying cold plasma technology to agricultural challenges. Education: B.S., Bio-Environmental Engineering, North Carolina A&T State University (2006) M.S.A.B.E., Agricultural and Biological Engineering, Purdue University (2009) Ph.D., Agricultural and Biological Engineering, Purdue University (2015) Research interests span post-harvest treatment innovations, biomass valorization, and educational methodologies. Her work emphasizes non-thermal plasma applications for food safety, mycotoxin mitigation, and sustainable agriculture practices. Publications reveal a strong focus on plasma technology for pest control, food preservation, and hydroponic systems. Her engineering education research explores inclusive pedagogy and curriculum development in diverse educational settings. Advising and grants include contributions to the NSF Convergence Accelerator project addressing food security in extreme environments. She is affiliated with Texas A&M AgriLife Research, advancing applied agricultural solutions through interdisciplinary collaboration.

• Post-harvest treatment technologies
• Bioprocess engineering
• Biomass valorization
• +8 more

Zukui Li is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering, where he leads a research group focused on mathematical optimization, machine learning, and process systems engineering. His work spans oil sands extraction, steel production, biomedical applications, and advanced optimization methods. Education: Ph.D. in Chemical Engineering, Rutgers University (2010) M.Sc. in Control Theory and Control Engineering, University of Science and Technology of China (2005) B.Sc. in Automatic Control, University of Science and Technology of China (2002) Postdoctoral Training: Princeton University (2010-2012) Research Focus: Dr. Li's research integrates mathematical optimization and machine learning for complex process systems. His primary areas include: Advanced optimization techniques (robust, stochastic, and distributionally robust optimization) Machine learning applications in process monitoring and biomedical systems Industrial applications in energy, manufacturing, and resource extraction Specific innovations include physics-informed ML for anemia treatment, adaptive optimization for steel production, and distributionally robust methods for uncertainty management. Publication Trends (2019-2023): Recent articles demonstrate a strong focus on uncertainty-aware optimization methods, with increasing integration of machine learning techniques. Dominant themes include distributionally robust optimization, adaptive decision-making under uncertainty, neural network approximations for complex constraints, and applications in industrial process control and biomedical systems. Theoretical advancements are consistently coupled with practical implementations in energy and manufacturing sectors. Research Group: Leads an active team developing optimization frameworks and machine learning solutions for process engineering challenges. Group website: Dr. Zukui Li's Research Group

• Mathematical Optimization
• Machine Learning
• Process Systems Engineering
• +4 more

Debbi Marais is a Professor (Teaching Focussed) at the University of Warwick within the Warwick Medical School and Health Sciences department. She serves as the Director of Postgraduate Education and is a Principal Fellow of the UK Higher Education Academy , demonstrating strategic leadership in enhancing teaching quality, curriculum development, and student mentorship. With over 25 years of experience in higher education, she has held academic positions at Stellenbosch University , University of Aberdeen , and University of Warwick . Her expertise spans teaching, assessment, program coordination, quality assurance, and reflective practice. Marais’ research interests include pedagogical innovation , with a focus on technology-enhanced teaching and employability & professionalism , as well as public health nutrition covering infant and young child feeding , nutrition transition , and global health . She employs mixed methods in her research and has contributed to understanding exclusive breastfeeding barriers , maternal obesity trends in Africa, and Arabic weight-loss app design . Her work often intersects with technology-enhanced health education and interdisciplinary collaboration . Her recent publications highlight qualitative studies on food-based dietary guidelines in Kenya and South Africa, mobile health interventions for weight loss, and educational innovations in medical and nutrition training. These works reflect her commitment to global health equity and digital pedagogy , with recurring themes in African and Southeast Asian health contexts. She emphasizes participatory research methods and policy translation in maternal and child nutrition. Scientific Awards Principal Fellow of the UK Higher Education Academy Marais has supervised postgraduate research students (PhD and Masters) and contributed to curriculum reform through collaborative international projects. She has secured external funding for research and demonstrated interdisciplinary expertise in nutrition , public health , and health education .

• Technology-enhanced teaching
• Employability & Professionalism
• Technology-enhanced health education
• +3 more

Joshua Breslau is a Senior Behavioral and Social Scientist at RAND and Professor of Policy Analysis at the RAND School of Public Policy. He holds a Ph.D. in anthropology from Harvard University and an Sc.D. in epidemiology from the Harvard T.H. Chan School of Public Health. With over two decades of experience, his work focuses on social and cultural influences on mental health, migration impacts, healthcare integration for serious mental illness, and policy effects on treatment disparities. Key research areas: Mental health, public health, epidemiology, health policy, substance use, military health systems Current projects: National evaluation of Certified Community Behavioral Health Centers, telehealth availability studies, 988 mental health hotline preparedness His research examines how social determinants affect health outcomes, with specific studies on Medicaid services, U.S. military healthcare, and integration of medical-social services. Recent publications analyze AI competency in suicide response, ACEs screening implementation, and post-pandemic mental health strategies. He has led NIH-funded projects on racial disparities and behavioral health care integration.

• Epidemiology
• Mental Health and Illness
• Mental Health Treatment
• +7 more

Martin Aranguren is a CNRS Junior Professor affiliated with the Centre for Research on Social Inequalities (CRIS) at Sciences Po. His research bridges micro-level social interactions and macro-level social inequalities, employing diverse methodologies including field experiments, interviews, and statistical analysis. He holds a PhD from École des Hautes Études en Sciences Sociales and earned his HDR in 2024, qualifying him to supervise doctoral research. His research interests include: Social Interaction Nonverbal Communication Emotions Discrimination (racial, religious, ethnic) Health Disparities and Mental Health Inequalities Field Experiments and Behavioral Measurement Bayesian Statistics His recent publications reveal a strong focus on discrimination in urban public spaces, particularly examining how race, religion (e.g., Islamic headscarves), and health behaviors (e.g., mask-wearing) influence everyday interactions. His work often uses field experiments in cities like Paris, Brussels, and Vienna to measure subtle forms of bias. A recurring theme is risk compensation during the pandemic, where adopting one safety measure (e.g., masks) leads to reduced adherence to others (e.g., distancing), with significant gender differences observed. His scientific contributions include leading major research projects such as: MIDI (2018–2021) : Studied misrecognitive discrimination using field experiments. GERICO (2021–2022) : Funded by ANR, investigated risk compensation during Covid-19. He also contributes to academic discourse through editorial roles and peer reviewing. He serves on the editorial board of Appartenances & Altérités and has reviewed for journals including Annals of Behavioral Medicine , Ethnic and Racial Studies , and PLoS ONE . He teaches quantitative methods, including Research Design and Regression Analysis, in the Sociology Master’s program at Sciences Po. His methodological rigor and interdisciplinary approach position him as a leading figure in contemporary sociological research on inequality.

• Social Interaction
• Nonverbal Communication
• Emotions
• +13 more

Gerta Bardhoshi is a Professor of School Counseling at the University of Iowa’s College of Education, affiliated with the Department of Counselor Education and the Scanlan Center for School Mental Health. She holds a BS in Psychology (Northern State University), MSED in Counseling, and a PhD in Counselor Education and Supervision (George Washington University). Her research focuses on school counselor well-being, interventions addressing adolescent mental health, LGBTQ+ student experiences, and photovoice methodology. She has been honored as a Senior Research Fellow at the University of Iowa Public Policy Center (2019). Her work emphasizes burnout prevention, culturally responsive counseling practices, and evidence-based interventions. Notable grants include studies on rural Latinx students’ sense of belonging and the psychometric validation of scales like the School Counselor Self-Efficacy Scale. She is certified as a Licensed Professional Counselor (LPC) and Approved Clinical Supervisor (ACS). Awards: Senior Research Fellow (2019), University of Iowa Public Policy Center Grants: Over $200K in grants for counseling interventions, including group therapy for marginalized youth and photovoice studies. Her lab and collaborations emphasize community-based participatory research, advocating for inclusive education policies and counselor training programs to enhance student outcomes.

• School Counseling
• Mental Health
• Educational Psychology
• +5 more

Dr. Haidong Lu is an Assistant Professor of Internal Medicine at Yale School of Medicine, specializing in epidemiology and health data science. His research integrates causal inference methods with observational health data to inform clinical and regulatory decisions, particularly in substance use, HIV/AIDS, and pharmacoepidemiology. He holds a PhD from UNC Gillings School of Global Public Health and a pharmacy degree, enhancing his interdisciplinary expertise. Dr. Lu is affiliated with the Janeway Society and Program in Addiction Medicine, and serves as an Associate Editor for International Journal of Epidemiology and AJE Advances . His awards include the NIH/NIDA K99/R00 Award and the Lilienfeld Prize finalist recognition. Research Interests: Causal inference methodologies Substance use disorders and opioid epidemiology HIV treatment outcomes and precision medicine Geographic health trends analysis Artificial intelligence in learning health systems Publications Trends: Dr. Lu's work focuses on methodological advancements in causal inference while addressing real-world public health challenges like opioid addiction, HIV treatment optimization, and fentanyl-related mortality. His recent studies highlight innovative approaches to mitigating selection bias in observational studies and improving accessibility to substance use treatments. Awards and Activities: In addition to editorial roles, he co-chairs the Design and Analysis Group (DAG) and founded the Yale Pharmacoepidemiology Workgroup. His research has been supported by NIH grants and collaborations with institutions like UNC and Johns Hopkins. Labs/Teams: Active in addiction medicine research and interdisciplinary teams focused on causal inference and health equity initiatives at Yale.

• Epidemiology
• Biostatistics
• Causal Inference
• +7 more