جست‌وجوی استاد و پژوهشگر

• Human Resources Management
• Organization and Management Theory
• Qualitative Research
• +۳ مورد دیگر

Professor Maciej Ławrynowicz serves as Head of the Department of Labor and Social Policy at Poznan University of Economics and Business. His academic leadership extends to multiple institutional roles including membership in the Sectoral Council for Financial Sector Competences, ZSI Change Management Team, HR Strategy Implementation Team, UEP Electoral College, and Senate Committee for Organizational Affairs. His research spans Human Resources Management , Organization Theory , and Social Economy , with notable expertise in cooperative banking systems and justice management. Methodologically grounded in qualitative approaches, his work examines organizational identity construction, precarious labor trajectories, and post-socialist institutional transformations across Eastern Europe. Analysis of his recent publications reveals a strategic shift toward comparative school-to-work transition studies (2022-2024), digital innovation barriers in knowledge-intensive sectors, and pandemic-era HR responses in banking. His interdisciplinary work connects labor policy with philosophical ethics (e.g., Humean sympathy frameworks) and aging studies. Professor Ławrynowicz maintains active institutional engagement through committee memberships while advancing research on: Social economy development in Central Europe Qualitative analysis of organizational identity Comparative youth labor market transitions Cooperative banking sector resilience

Nancy Gellمشاهده پروفایل

دانشیار

• Physical Therapy
• Exercise Science
• Public Health
• +۵ مورد دیگر

Nancy Gell, PT, Ph.D., M.P.H., is an Associate Professor at the University of Vermont in the Department of Rehabilitation and Movement Science within the College of Nursing and Health Sciences. Her work bridges clinical practice, public health, and exercise science to address physical activity promotion, fall prevention, and healthy aging for individuals with chronic conditions. Education: Ph.D. in Exercise Science (Auburn University), M.P.H. in Public Health (University of Michigan), B.S. in Physical Therapy (Northwestern University), and postdoctoral fellowship at Group Health Research Institute. Her research examines how environmental and technological interventions can mitigate functional decline in aging populations with chronic diseases like cancer and osteoarthritis. She focuses on tele-exercise programs, wearable technology, and community-based strategies to enhance exercise adherence and reduce fall risk. Recent studies highlight rural health disparities, sedentary behavior patterns, and adaptive physical activity solutions for homebound individuals. Key trends in her publications include the intersection of physical activity with chronic disease management, technology-enabled rehabilitation, and fall prevention in rural and aging populations. Her work emphasizes interdisciplinary approaches and community partnerships to translate evidence-based programs into scalable interventions. She teaches courses such as Physical Activity and Chronic Disease Epidemiology and Health Promotion and Disease Prevention , integrating her clinical experience with public health expertise. Her current projects include tele-exercise trials for rural cancer survivors and gamified fall-prevention programs for homebound older adults.

Eliisa Löyttyniemiمشاهده پروفایل

پژوهشگر

• Biostatistics
• Clinical Trials
• Medical Statistics
• +۷ مورد دیگر

Eliisa Löyttyniemi serves as a Biostatistics Doctoral Researcher within the Department of Paediatrics and Adolescent Medicine at the University of Turku, Finland. Her core expertise encompasses teaching biostatistics, statistical consulting for diverse medical datasets, and specialized analysis of clinical trials. Contact details include email eliisa.loyttyniemi@utu.fi and phone numbers +358 29 450 4450 / +358 50 308 2458 at Kiinamyllynkatu 10, 20520 Turku. Her research spans multiple high-impact medical domains through rigorous biostatistical frameworks: Clinical Trials Methodology : Design and analysis of randomized controlled trials across medical specialties Oncology : Survival modeling for breast cancer with real-world Finnish data Nephrology : PET imaging quantification for bone metabolism in dialysis patients Critical Care : Infection prevention protocols in intensive care units Endocrinology : Metabolic interventions for diabetes and liver health Post-Viral Syndromes : Long-term outcomes in post-COVID conditions Löyttyniemi's 2025 publications demonstrate exceptional cross-disciplinary collaboration, with 10 articles spanning nursing research, surgical oncology, renal medicine, and anesthesiology. Her work consistently applies advanced statistical techniques—including survival analysis, retrospective cohort studies, and randomized trial designs—to address pressing clinical challenges. The recurring themes of real-world data validation and methodological rigor highlight her role as a pivotal biostatistics collaborator in translational medical research. No scientific awards are documented in available sources. Regarding academic mentorship, the provided materials contain no information about student supervision or grant funding. Similarly, specific laboratory affiliations or dedicated research teams beyond departmental context are not referenced.

Sofi Sonessonمشاهده پروفایل

استادیار

• Physiotherapy
• Sports Medicine
• Injury Prevention
• +۲ مورد دیگر

Sofi Sonesson is an Assistant Professor at Linköping University , serving as Head of the Department of Physiotherapy and Head of the Department of Health, Medicine and Care (HMV). Her research spans physiotherapy , sports medicine , and generative AI in education , with a focus on injury prevention, rehabilitation after knee injuries, and AI integration in healthcare training. Assistant Professor in Physiotherapy (2022–present) Docent in Physiotherapy (2021–present) Head of Department of Physiotherapy and Department of Prevention, Rehabilitation and Close Care (PRNV) Her research emphasizes injury prevention in community and elite sports, including projects like SWIPE (Sports Injury Prevention) and NACOX (ACL Injury Recovery). She also leads initiatives to strengthen generative AI literacy among physiotherapy students and educators. Current PhD Students: Timmy Gustafsson (Main Supervisor), Kalle Torvaldsson (Assistant) Completed PhD Students: Hanna Tigerstrand Grevnerts (2019), Ida Åkerlund (2024) Her recent work includes 15+ publications on topics like injury epidemiology, ACL recovery, and AI-driven pedagogical tools. Notable projects examine knee stability after surgery, long-term physical activity post-injury, and AI’s role in medical education .

Dennis Göpfertمشاهده پروفایل

پزشک-پژوهشگر

• Psychocardiology
• Heart-Brain Interaction
• Psychological Stress in Healthcare Workers
• +۵ مورد دیگر

Dennis Göpfert is affiliated with the University of Trier as a researcher in the fields of Nursing Science , Behavioral Medicine , and Health Psychology . His work bridges clinical practice and academic research, focusing on the psychosocial impacts of critical care and chronic diseases. Primary Affiliation: University of Trier, Behavioral Medicine and Human Biological Foundations for Health Sciences Secondary Role: Prospective internist at Würzburg University Hospital Research Interests : His research explores the psychological stress of healthcare workers during the SARS-CoV-2 pandemic, resilience factors, and the long-term cognitive effects of heart failure on cerebral substructures. He emphasizes interdisciplinary collaboration between cardiology and psychology . Key Projects : Dennis investigates heart-brain interactions to identify preventive strategies for cognitive decline in heart failure patients. His dissertation analyzes longitudinal data on psychosocial stressors in intensive care settings during the pandemic.

Walter Dempseyمشاهده پروفایل

دانشیار

• Digital Health
• Statistical Methods
• Longitudinal Data Analysis
• +۴ مورد دیگر

Walter Dempsey is an Associate Professor of Biostatistics at the University of Michigan School of Public Health and Assistant Research Professor at the Institute for Social Research. His research develops statistical methods for digital health, focusing on experimental design for multi-stage decision making, modeling of complex longitudinal data, and analysis of relational network structures. Education: Ph.D. in Statistics, University of Chicago (2015) B.Sc. in Mathematics, Statistics and Economics, University of Chicago (2009) Research Focus: Dr. Dempsey's work integrates statistical theory with health applications, particularly in mobile health (mHealth) technologies. His methodological research spans three interconnected areas: (1) Designing adaptive trials for health decision-making; (2) Developing hierarchical latent variable models for intensive longitudinal data from wearables and sensors; (3) Creating statistical frameworks for analyzing interaction networks that satisfy invariance principles while capturing empirical behavior patterns. Publication Trends: His recent work demonstrates strong emphasis on network modeling, mobile health interventions, and causal inference methods. Publications frequently appear in top statistics and machine learning venues including JASA, Biometrika, ICML, and NeurIPS, with consistent focus on developing interpretable models for health applications. Student Advising: Hera Shi (PhD, 2023) - Time-varying treatment effects in micro-randomized trials Yuhua Zhang (PhD, 2023) - Statistical methods for network data Madeline Abbott (Current PhD) - Latent variable models for intensive longitudinal data Easton Huch (Current PhD) - Robust Bayesian methods for causal inference Laboratory: Leads the Dempsey Lab developing statistical methodologies for digital health, with projects spanning network analysis, survival modeling, and adaptive intervention design.

K M Shahunjaمشاهده پروفایل

پژوهشگر ارشد

• Indigenous Health
• Life-Course Epidemiology
• Child Health
• +۳ مورد دیگر

Dr. K. M. Shahunja is a Research Fellow at the Poche Centre for Indigenous Health within the Faculty of Medicine at The University of Queensland (UQ). He is a physician and accomplished clinical researcher with extensive experience in Indigenous health, life-course epidemiology, and child health research. Dr. Shahunja is affiliated with the Life Course Centre at UQ and collaborates with the World Health Organization on longitudinal studies examining health and well-being across different life stages. Dr. Shahunja earned his MBBS from Bangladesh, a Postgraduate Diploma in Paediatrics and Child Health from the UK, and completed his PhD at UQ, Australia. His doctoral research investigated the impact of familial and neighborhood dynamics on asthma symptoms in Australian children using a life-course approach. Since his post-doctoral period, he has focused on developing life-course interventions to improve the health of First Nations peoples in Australia and is currently working on an NHMRC-GACD Non-Communicable Disease Prevention project targeting Indigenous children and youth in Australian cities. Dr. Shahunja's research spans multiple disciplines with a primary focus on Indigenous health, asthma in children, and non-communicable disease prevention. His work often employs longitudinal approaches to understand how environmental and social factors influence health trajectories. His recent publications demonstrate a strong emphasis on health disparities among vulnerable populations, particularly Indigenous communities, and children in developing countries. He has contributed significantly to the understanding of respiratory conditions, malnutrition, and infectious diseases in pediatric populations. With over 60 peer-reviewed publications, Dr. Shahunja has established himself as a prominent researcher in child health and Indigenous health. His work often involves international collaborations, particularly with researchers in Bangladesh where he conducted substantial research before joining UQ. His systematic reviews and meta-analyses have provided valuable insights into multimorbidity patterns and the impact of adverse childhood experiences on long-term health outcomes. Over 60 peer-reviewed journal articles 9 conference papers 1 PhD thesis 3 newspaper articles Dr. Shahunja is actively involved in several significant research projects, including the NHMRC-GACD Non-Communicable Disease Prevention initiative focused on Indigenous children in urban Australia. His work with the World Health Organization explores longitudinal data sources across Australia to examine health and well-being associated with healthy aging. His research often bridges clinical practice with public health interventions, particularly in resource-limited settings. Dr. Shahunja leads and participates in research teams focused on improving health outcomes for vulnerable populations. His work at the Poche Centre for Indigenous Health involves developing culturally appropriate interventions for First Nations communities. His international collaborations, particularly with researchers in Bangladesh, demonstrate his commitment to addressing global health challenges through cross-cultural research partnerships.

Md Ashraful Alamمشاهده پروفایل

پژوهشگر

• Maternal health
• Child malnutrition
• Adverse childhood experiences
• +۷ مورد دیگر

Md Ashraful Alam is a public health researcher at the University of Queensland's Poche Centre for Indigenous Health. He holds an RTP scholarship for his PhD research on environmental exposures in pregnancy and birth outcomes in Queensland . With prior affiliations at icddr,b in Dhaka, Bangladesh, his work bridges statistical analysis and epidemiological studies. M.Sc in Statistics, Rajshahi University MPH in Epidemiology, University of South Asia His research focuses on maternal and child malnutrition , adverse childhood experiences , mental health , and environmental enteric dysfunction . Recent studies examine gut biomarkers, nutritional interventions, and pandemic impacts on vulnerable populations. Key publications include machine learning models for pediatric mortality prediction , L-carnitine supplementation trials , and systematic reviews on indigenous health outcomes . Collaborations span institutions like Harvard University , University of Virginia , and icddr,b .

• Gerontology
• Retirement transitions
• Informal caregiving
• +۷ مورد دیگر

Lawrence Sacco is a Researcher at Stockholm University's Department of Psychology, working within the Division for Epidemiology. His research focuses on stress-related illnesses and health problems in and outside the workplace, with particular emphasis on how health, physical activity, and work conditions change around retirement. Dr. Sacco's research interests span several interconnected domains: How providing informal care affects health and wellbeing Lifecourse influences on socioeconomic and health inequalities among older adults The potential disadvantages and benefits of ageing societies Work transitions and job quality in late career and post-retirement periods Caregiving and its relationship to sleep disturbance and quality of life His recent publication activity (2018-2023) demonstrates consistent productivity with a clear thematic focus on retirement transitions, informal caregiving, and late-career work quality. His work frequently employs cross-national comparative approaches, particularly examining differences between Sweden, Japan, and the United States. Dr. Sacco has made significant contributions to understanding how work beyond pensionable age is characterized by more flexible, rewarding, and less stressful employment. Dr. Sacco's scientific contributions include: Methodological advances in understanding publication overlap in umbrella reviews Empirical evidence on the relationship between caregiving intensity and health outcomes Cross-national comparisons of job quality in late career Analysis of wealth inequalities related to bridge employment As a supervisor, Dr. Sacco would offer expertise in gerontological research methods, longitudinal data analysis, and comparative aging studies. His work demonstrates strong collaboration with international researchers and engagement with policy-relevant questions about aging populations and workforce participation. His research group within the Division for Epidemiology focuses on improved understanding of how stress-related illnesses and health problems arise and can be prevented.

• Social Cognition
• Facial Emotion Recognition
• Mental Health Interventions
• +۲ مورد دیگر

Dr. Barbara Montagne is a Lecturer in the Faculty of Social and Behavioural Sciences at Utrecht University , affiliated with the Experimental Psychology department. Her work bridges psychology and computer science, focusing on facial emotion recognition, social cognition, and digital mental health interventions. Her research spans clinical populations (stroke survivors, OCD, psychosis, Korsakoff syndrome) and tech-driven applications (LLMs in mHealth, gamified systems). Recent studies examine LLM-generated treatment goals, social touch deficits, and crisis dynamics modeling. She collaborates with institutions like the Helmholtz Institute and ACM conferences. Doctoral thesis on facial expressions in psychiatric/neurological disorders (2005) Key areas: emotion perception, mental health technology, social cognition Her 2024-2025 work highlights mHealth gamification, personalized psychiatry, and trauma impacts on borderline disorder. Despite no listed awards, her 29+ peer-reviewed outputs and Mendeley readers indicate significant academic impact.

• Technology Education
• Engineering Education
• STEM Education
• +۳ مورد دیگر

Joseph Furse serves as an Assistant Professor in the Department of Applied Sciences, Technology and Education (ASTE) within Utah State University's S.J. & Jessie E. Quinney College of Agriculture & Natural Resources. His academic appointment bridges agricultural education with technological pedagogy, focusing on practical implementation of emerging technologies in secondary and post-secondary settings. His research centers on technology and engineering education (TEE) with specialization in robotics integration, drone applications, and electronics curriculum development. Key interests include teacher support systems for technological literacy, student self-efficacy in competitive robotics, and standards-based implementation of engineering education frameworks. His work consistently addresses rural educational contexts and agricultural applications of technology. Publication analysis reveals evolving research trajectories: recent work (2023-2025) emphasizes AI adoption in agricultural education and teacher mentoring systems, while foundational studies (2015-2019) established robotics competition impacts on student outcomes and electronics curriculum transformation. His scholarship demonstrates consistent focus on practical classroom applications and measurable educational outcomes in technology-intensive learning environments.

Chih-Ying Liمشاهده پروفایل

دانشیار

• Health Services Research
• Learning Health System
• Implementation Science
• +۴ مورد دیگر

Chih-Ying Li is an Associate Professor in the Department of Occupational Therapy at the University of Texas Medical Branch (UTMB) School of Health Professions and holds an adjunct appointment in the Department of Population Health and Health Disparities. She serves as the Interim Level II Fieldwork Coordinator and is a NIH-supported career development awardee (K01HD101589). Dr. Li leads the IMPACT Lab, focusing on health services research in post-acute rehabilitation. Education: Bachelor of Science and Master of Science in Occupational Therapy from National Taiwan University; PhD in Health and Rehabilitation Science from Medical University of South Carolina. Research Interests: Health services research, learning health systems, and value-based care in post-acute rehabilitation. The IMPACT Lab emphasizes: Value-Based Care: Optimizing care quality while reducing costs. Precision Medicine: Tailoring interventions to patient-specific needs. Learning Health System: Leveraging real-world data for clinical decision-making. Scientific Awards: 2021 Early Career Research Excellence Award (American Occupational Therapy Foundation) 2022 Elite Reviewer (Archives of Physical Medicine and Rehabilitation) 2024 Honorary Member, Nu Chapter of Pi Theta Epsilon (Occupational Therapy Honor Society) Grants: Principal Investigator for NIH, American Occupational Therapy Foundation, and UTMB RCMAR grants examining functional trajectories, home health OT intensity, and cognitive demand in aging populations. Labs & Collaborations: The IMPACT Lab integrates Medicare claims, EHR data (e.g., TriNetX), and patient engagement to inform clinical practice and healthcare policy. Prospective students can participate in empirical studies using quantitative/qualitative methods or systematic reviews.

Erica Masonمشاهده پروفایل

استادیار

• Special Education
• Mathematics Education
• Disability Studies
• +۴ مورد دیگر

Erica Mason is an Assistant Professor in Special Education at the University of Illinois Urbana-Champaign's College of Education. Her research bridges special education and mathematics education, focusing on teachers’ conceptions of disability and capability through research-practice partnerships. She employs critical special education frameworks and investigates classroom autonomy dynamics between general and special educators. Department of Special Education, College of Education Assistant Professor since 2019 Her research interests include: Anti-deficit mathematics instruction for students with disabilities Teacher autonomy and job satisfaction dynamics Deficit language persistence in inclusive education Equity-driven mathematics pedagogy Progress monitoring frameworks for special education Recent publications examine: Autonomy-satisfaction relationships in special education (2023) Racial consciousness in mathematics instruction (2023) Math intervention intensity models (2022) Disability studies in education (2025) Scientific contributions include: Co-developer of mathematics intervention frameworks Critical analyses of inclusionary practices Quantitative studies on teacher satisfaction Qualitative investigations of student camouflaging

• Experience Sampling Methodology
• Affective dynamics
• Statistical modeling
• +۵ مورد دیگر

Eva Ceulemans is a Full Professor at the Faculty of Psychology and Educational Sciences at KU Leuven, Belgium, where she also serves as Vice Dean for Research. She is affiliated with the Quantitative Psychology and Individual Differences research unit and holds leadership positions including Program Director of the POC Doctoral Program PPW and membership on the Advisory Council for Humanities Research. Her research focuses on advanced statistical methodologies for psychological science, particularly: Experience Sampling Methodology (ESM) and intensive longitudinal data analysis Affective dynamics and emotion measurement in daily life Development of novel statistical approaches for dyadic and triadic interactions Sample size planning for N=1 studies Time series analysis for psychological phenomena Dr. Ceulemans' recent publications demonstrate her dual expertise in methodological innovation and substantive psychological questions. She has made significant contributions to experience sampling methodology, including the development of episode-contingent designs, synchronization measures for triadic interactions (AMPC measure), and tools for measuring continuous affect. Her work bridges sophisticated statistical modeling with real-world applications in emotion research and relationship science. Her scientific leadership includes: Development of the ConNEcT R package for contingency measure-based networks Innovative approaches to detecting affective episodes in daily life Methods for improving measurement of affect in ecological settings Framework for sample size determination in ESM studies As an educator, Dr. Ceulemans teaches statistics courses for psychology and educational science students at KU Leuven, including 'Statistics for Educational Scientists' and 'Inductive Statistics for Psychologists.' Her institutional service spans multiple faculty committees focused on research policy, evaluation, and doctoral education, reflecting her substantial impact on academic governance.

Su Jung Jeeمشاهده پروفایل

مدرس

• Innovation management and policy
• Intellectual property
• Industrial dynamics of AI
• +۴ مورد دیگر

Dr. Su Jung Jee is a Lecturer (equivalent to Assistant Professor) in Operations and Technology Management at Leeds University Business School, University of Leeds, affiliated with the Department of Analytics, Technology and Operations. She holds a concurrent position as Associate Fellow at the Institute for New Economic Thinking (INET), University of Oxford. Previously, she served as Assistant Professor at the University of Sheffield Management School and University of Bradford Management School, with visiting positions at INET Oxford and the Science Policy Research Unit (SPRU), University of Sussex. Her research investigates innovation ecosystems through multiple lenses: Core domains: Intellectual property regimes, technology transfer mechanisms, and AI industrial dynamics Methodological expertise: Patent analytics, bibliometrics, and complex systems modeling Applied contexts: Climate technology diffusion, catch-up strategies in emerging economies, and sustainable system transitions Publication analysis reveals consistent focus on: Longitudinal tracking of technology evolution through patent and citation networks Cross-sectoral innovation patterns between AI, clean tech, and manufacturing Policy frameworks for knowledge sharing in developing economies Awards and fellowships: Overseas Postdoctoral Research Fellow, National Research Foundation of Korea (funded Oxford visit) Postdoctoral Researcher Fellowship, NRF Korea (2021) ESRC InterAct ECR Fellowship (2023-2024) Research leadership includes: Co-Principal Investigator for SSHRC New Frontiers project on gender dynamics in STEM (£146k, 2023-2025) Principal Investigator for ESRC project on AI-driven material innovation Consultancy leadership for GIZ on climate technology IP frameworks (2022-2023) Educational background comprises a PhD and BS in Industrial Engineering from Yonsei University, South Korea, specializing in Technology Management and Analytics. She holds Fellowship of the Higher Education Academy (FHEA) status.