جست‌وجوی استاد و پژوهشگر

• Human Factors Engineering
• Healthcare Technology
• Patient-Centered Care
• +۳ مورد دیگر

Dr. Onur Asan is an Associate Professor and Associate Chair for Graduate Studies at the Charles V. Schaefer, Jr. School of Engineering and Science, Stevens Institute of Technology, in the Department of Systems and Enterprises. His research focuses on applying human factors engineering and human-computer interaction principles to improve healthcare systems, emphasizing patient-centered care, technology integration, and workforce well-being. He received his Ph.D. in Industrial and Systems Engineering from the University of Wisconsin-Madison, specializing in human factors. Research Interests: Dr. Asan’s work addresses socio-technical challenges in healthcare, including the impact of new technologies on workflows, patient safety, and clinician-patient communication. Key areas include ambulatory care systems, care coordination, and the role of AI in clinical decision support. His studies also explore the psychological and organizational factors influencing healthcare professionals’ behavior during crises like the pandemic. Grants & Funding: His research has been funded by NIH, AHRQ, PCORI, and CTSI, supporting projects on AI in healthcare, clinician well-being, and patient engagement. He chairs the Graduate Curriculum Committee and Search Committees at Stevens, and contributes to editorial and review roles in journals like Journal of Human Factors in Healthcare and Applied Ergonomics . Labs & Teams: His academic contributions span educational roles, including courses on Human Factors Engineering and Systems Engineering. He collaborates with interdisciplinary teams to advance technology-driven solutions for healthcare challenges, emphasizing user-centered design and system-wide impacts.

• Chronic Respiratory Disease
• Osteopathy
• Manual Therapy
• +۶ مورد دیگر

Dr Roger Engel is an Adjunct Associate Professor in the Faculty of Health at Southern Cross University and an Honorary Senior Research Fellow at Macquarie University's Faculty of Medicine, Health and Human Sciences. With over 40 years of clinical experience as a chiropractor and osteopath across urban, rural, private, and public healthcare settings in Australia and internationally, he bridges clinical practice with academic research. His dual appointments reflect his commitment to advancing evidence-based manual therapy within academic medicine. Dr Engel completed his PhD at Macquarie University in 2012 with research titled The Effect of Manual Therapy on Respiratory Function in Chronic Obstructive Pulmonary Disease . This foundational work established his expertise in respiratory manual therapy and remains central to his ongoing research program. His primary research focuses on chronic respiratory disease management through manual therapy interventions, particularly for COPD, alongside significant contributions to paediatric health, maternal care, and mild traumatic brain injury rehabilitation. Recent work increasingly addresses scoliosis management, telehealth implementation in osteopathic practice, and scope-of-practice analyses for manual therapy professions. His research consistently emphasizes evidence generation through randomized controlled trials, systematic reviews, and qualitative studies exploring clinician and patient perspectives. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) respiratory-focused studies building on his COPD expertise through pulmonary rehabilitation and outcome measure validation; (2) methodological innovations in osteopathic evidence generation including telehealth feasibility and adverse event reporting standards; and (3) population-specific applications addressing infantile colic, scoliosis, and osteoarthritis through manual interventions. His work demonstrates strong alignment with UN Sustainable Development Goals related to health and wellbeing. Dr Engel actively contributes to the osteopathic community as Associate Editor of the International Journal of Osteopathic Medicine , Member of the Osteopathy National Steering Committee, and Mentor for Osteopathy Australia. He serves as Founding Co-Chair of the Osteopathic Research Alliance (ORA), which coordinates multi-institutional research efforts to strengthen osteopathy's evidence base. As a co-supervisor for higher degree research students, he guides emerging scholars in manual therapy research methodology and clinical application.

Stephan Kudybaمشاهده پروفایل

دانشیار

• Business Analytics
• Data Mining
• Healthcare Informatics
• +۳ مورد دیگر

Stephan Kudyba is an Associate Professor of Business Analytics and MIS at NJIT's MT School of Management. His research focuses on enhancing organizational efficiency through business intelligence, data mining, and strategic management across domains including healthcare, fintech, and supply chain. He holds a PhD in Economics from Rensselaer Polytechnic Institute, an MBA from Lehigh University, and a BS in Economics from Siena College. With over 15 years of industry experience, Kudyba has published extensively on analytics applications in B2B marketing, digital transformation, and healthcare informatics. His research examines how organizations can leverage data resources to drive innovation and competitive advantage. Recent work explores AI implementation strategies, data-driven healthcare ecosystems, and digital transformation post-COVID. Kudyba's publications demonstrate consistent focus on practical applications of analytics in business decision-making and risk management. His scholarly output spans predictive modeling in healthcare, agile project management tools, and financial technology innovations. The topical evolution shows increasing emphasis on real-time analytics and AI integration across business functions.

W. Jack Rejeskiمشاهده پروفایل

استاد پژوهشی

• Health Psychology
• Behavioral Science
• Geriatrics
• +۱۲ مورد دیگر

W. Jack Rejeski is a Research Professor at Wake Forest School of Medicine , with a 40-year academic career in the Department of Health and Exercise Science (HES). He collaborates with institutions including Northwestern School of Medicine and UK faculty, focusing on lifestyle behavior change to improve physical functioning in older adults with obesity and chronic conditions. His work includes developing group-mediated interventions for physical activity and weight loss. Education : B.S. in Biology/Psychology ( Norwich University , 1970); M.A. in Exercise Science ( University of Connecticut , 1975); Ph.D. in Social Psychology ( University of Connecticut , 1978). His research explores the neural mechanisms of obesity and weight loss in aging populations, particularly through the laboratory of Complex Brain Networks . He leads the Behavioral Core of the HALLO (Health, Aging & Later-Life Outcomes) grant and contributes to the MoTrPAC consortium studying molecular transducers of physical activity. Key collaborations include Drs. Kritchevsky, Nicklas, and Miller, with over 15 clinical trials funded by NIH/NIA. His work integrates mHealth technologies and adaptive behavioral strategies for long-term weight management in older adults. Leadership Roles : Principal Investigator for MoTrPAC Exercise Intervention Core; Co-PI for HALLO; Consulting Investigator for Pepper Older Americans Independence Center. Methodology : Finite-element modeling for bone strength evaluation; computerized adaptive mobility assessment tools; multi-omic analyses of exercise responses.

• Health Informatics
• Data Mining and Analytics
• Machine Learning in Healthcare
• +۶ مورد دیگر

Bunyamin Ozaydin is an Associate Professor in the Department of Health Services Administration at the University of Alabama at Birmingham (UAB), concurrently serving as a Scientist in the School of Medicine Informatics Institute and holding roles in the Department of Biomedical Informatics & Data Science. He holds a PhD in Computer Engineering and a Master's in Electrical Engineering, with a B.S. in Physics. His research focuses on health information systems, data infrastructure for healthcare analytics, machine learning applications, and decision support systems. He has led projects in database design for clinical research, including contributions to the Multicenter Perioperative Outcomes Group (MPOG) and Anesthesia Quality Institute (AQI) databases. Ozaydin teaches advanced courses in health informatics, including systems analysis, databases, and healthcare business intelligence. He has authored over 30 peer-reviewed publications and serves on editorial boards for journals like Health Systems . His awards include the UAB President’s Award for Diversity (2007) and the SDPS Service Award (2000). He mentors doctoral students in health services administration and interdisciplinary engineering. His funded research includes NIH-supported projects on diabetes management and cancer disparities, along with grants focusing on healthcare technology and financial performance analysis.

• Social Marketing
• Advertising Effectiveness
• Public Health Communication
• +۲ مورد دیگر

Murooj Yousef is a Lecturer at Australian Catholic University's Peter Faber Business School within the Faculty of Law and Business. Her research focuses on social marketing effectiveness, digital behavior change interventions, and policy analysis of emerging technologies. Research Areas: Emotional appeal efficacy in social advertising Digital health intervention design AI regulation frameworks Wildlife conservation communication Publication Focus: Her work demonstrates consistent methodological rigor in experimental and computational approaches to behavior change, with recent emphasis on digital health interventions and AI policy frameworks.

Ahmed IMRANمشاهده پروفایل

دانشیار

• Digital Inequality
• ICT4D
• e-Government
• +۵ مورد دیگر

Associate Professor Ahmed Imran leads the Research Cluster of Digital inequality and Social change (RC-DISC) at the University of Canberra. He holds a PhD in IS from ANU and MSc in IT from UNSW. His work focuses on IT innovation, digital inequality, eGovernance, and societal transformations through ICT. He has over a decade of academic experience and a prior 16-year military career as a Signals officer. Education: PhD in ICT Adoption in Public Sector of LDCs (ANU, 2010) MSc in IT (UNSW, 2003) Research Interests: Designing ICT interventions for development Contextual factors in IT system design Global South digital transformation challenges Online child protection strategies Awards: ANU Vice Chancellor's Award for Community Outreach Advising & Grants: Leading two major projects: Decarbonisation Pathways of Indonesia's Buses Infrastructure (2024-2025) and Future Jobs Fund - Open Source Institute (2023-2027) Received multiple national/international grants Labs/Teams: Founder and leader of RC-DISC interdisciplinary cluster focusing on digital inequality and social change.

Olga Ormandjievaمشاهده پروفایل

استاد

• Software Engineering
• Big Data Quality Modeling
• Software Measurement
• +۵ مورد دیگر

Dr. Olga Ormandjieva is a Professor in the Computer Science and Software Engineering Department at Concordia University, Montreal, Canada. She is a member of the Ordre des Ingénieurs du Québec (OIQ) and holds a Ph.D. in Computer Science (2002) and a Master's in Computer Science and Mathematics (1987). Her research focuses on software quality engineering, big data quality modeling, and AI-driven cybersecurity solutions for detecting cyber-predators in social media. She has published over 135 peer-reviewed papers and seven book chapters, and supervised seven doctoral and seventeen master's students. Dr. Ormandjieva's expertise spans measurement in software engineering, empirical software engineering, and formal methods. Her work integrates AI and software engineering best practices to address challenges in big data and cybersecurity. She has received grants from NSERC and other sources, and contributed to academic governance, including CEAB accreditation visits and IEEE leadership roles. Her recent research emphasizes automated cyber-predator detection and big data quality frameworks like MEGA. She teaches software engineering courses and actively engages in curriculum development, emphasizing real-world applications in healthcare and enterprise systems. Dr. Ormandjieva's service includes organizing international conferences, reviewing for top journals, and developing methodologies for mobile health UIs and requirement traceability systems. Her work bridges theory and practice, addressing critical issues in software reliability, user-centric design, and ethical AI applications.

Aoife Whistonمشاهده پروفایل

استادیار

• Depression Research
• Psychophysiology
• Mental Health
• +۷ مورد دیگر

Aoife Whiston is an Assistant Professor at the Department of Psychology, University of Limerick, with affiliations to the Ageing Research Centre and Health Research Institute. Her research focuses on depression, stress physiology, network analysis, and gerontology. She employs wearable technology, systematic reviews, and clinical trials to investigate mental health interventions and aging-related health outcomes. Her work addresses topics such as residual symptoms in depression remission, cardiovascular stress responses, and frailty screening in emergency care. She has contributed to projects like the UL-Aid Depression Project and SOLAR randomized trial, emphasizing interdisciplinary collaboration and patient-centered approaches. Whiston’s studies often integrate network models to explore symptom dynamics and intervention efficacy. Her recent publications span topics including post-COVID-19 rehabilitation, adaptive mHealth interventions for stroke survivors, and global pandemic mental health impacts. She is actively involved in developing core elements for frailty care pathways and evaluating public involvement in stroke research. Whiston is currently accepting PhD students and collaborates internationally on projects blending clinical psychology, geriatric medicine, and digital health innovation. Her research aligns with UN Sustainable Development Goals, particularly mental health and aging population care.

Tricia Leaheyمشاهده پروفایل

استاد

• Obesity Treatment
• Behavioral Interventions
• Weight Management
• +۱ مورد دیگر

Dr. Tricia Leahey is Professor in the Department of Allied Health Sciences at the University of Connecticut's College of Agriculture, Health and Natural Resources. She directs obesity treatment research focused on behavioral interventions and weight loss maintenance strategies. Research develops cost-effective lifestyle interventions using behavioral economics and technology-assisted delivery methods. Current NIH-funded trials examine patient-provided care models, web-based interventions, and adherence strategies. Publications reflect focus on digital health innovations in obesity treatment, psychological factors in weight management, and metabolic adaptation mechanisms. Excellence in Science in eHealth/mHealth Award Research Citation Award (Society of Behavioral Medicine) Dr. Leahey teaches global health management courses and mentors graduate students in behavioral medicine. Her research findings have been featured in major media outlets including NPR and The Wall Street Journal.

Saraswathi Bellurمشاهده پروفایل

دانشیار

• Media Effects
• Interactive Media Psychology
• Health Communication Technologies
• +۳ مورد دیگر

Saraswathi Bellur is an Associate Professor in the Department of Communication Education at the University of Connecticut. She holds a Ph.D. from Pennsylvania State University (2012). Her research focuses on media effects, particularly the psychological and physiological impacts of interactive media on user engagement and health behaviors. She co-developed the Motivational Technology Model, which explores how interactive media can boost intrinsic motivation for health-related actions. Key areas of expertise include interactivity measurement, psychophysiological responses (ECG/EDA/EEG), and media multitasking effects. She is affiliated with the Human Computer Interaction (HCI) Lab at UConn. Her recent work examines how autistic traits and technology multitasking influence academic performance. Articles span topics like user engagement frameworks, mHealth applications, and cognitive heuristics in media processing. Bellur teaches courses on computer-mediated communication and mass media systems, emphasizing theory-driven approaches to communication technologies.

Anne Oeldorf-Hirschمشاهده پروفایل

دانشیار

• Social Media Studies
• Algorithmic Literacy
• Digital Communication
• +۳ مورد دیگر

Anne Oeldorf-Hirsch is an Associate Professor in the Department of Communication at the University of Connecticut. Her research focuses on social media’s role in information sharing, well-being, and algorithmic literacy, particularly on platforms like TikTok and Instagram. She is affiliated with the Human-Computer Interaction Lab, UConn Center for mHealth and Social Media, and the Institute for Collaboration on Health, Intervention, and Policy (InCHIP). Education: Ph.D., Mass Communications, Pennsylvania State University, 2011 B.A., Psychology, magna cum laude, Portland State University, 2005 Research Interests: Algorithmic transparency, misinformation dynamics, social media effects on mental health, and digital privacy. Recent work examines how users perceive algorithmic systems and the implications for health communication and civic engagement. Key Contributions: Edited a special issue on algorithmic literacy and political literacy for Frontiers in Psychology (2024). Received the 2019 AEJMC Article of the Year Award for work on news exposure on social media. Explored the privacy paradox in older adults’ social media use (2020). Grants & Labs: Active in interdisciplinary research through affiliations with UConn’s mHealth Center and the Connecticut Institute for Brain and Cognitive Science. Collaborates on projects like “Research on Resilient Cities, Racism, and Equity.”

Jiyoun Sukمشاهده پروفایل

استادیار

• Computational Social Science
• Political Communication
• Mis/Disinformation
• +۴ مورد دیگر

Jiyoun Suk is an Assistant Professor at the University of Connecticut , affiliated with the Department of Communication, the Women's, Gender, and Sexuality Studies Program, and the Center for mHealth and Social Media. She co-directs the Communication and Emerging Media (CEM) Lab and contributes to the Human-Centered AI team at the UConn Humanities Institute. Education: Ph.D., University of Wisconsin-Madison Her research focuses on computational social science , political communication , and social justice , examining how mis/disinformation and multimodal communication shape political polarization and activism. Recent work explores cross-platform dynamics, algorithmic biases, and marginalized communities' experiences. Key trends in her publications include visual misinformation analysis , mobilization via social movements , and AI-powered communication research . Awards highlight recognition from the International Communication Association and AEJMC for contributions to political communication and social media studies . Labs: Communication and Emerging Media (CEM) Lab, Communication Methods Innovation Lab (CMIL)

• m-health
• computational social science
• human-computer interaction
• +۳ مورد دیگر

Adrian Shatte is a Senior Lecturer in the Discipline of Information Technology at James Cook University. His research focuses on m-health, computational social science, and applied AI in healthcare, particularly leveraging social media and digital tools to address mental health challenges such as paternal postpartum depression, eating disorders, and perinatal mental health. He has led projects funded by MRFF Million Minds, Australian Government Innovations Connections, and others. Education: PhD in Information Technology (James Cook University, 2016), Graduate Certificate in Education (Tertiary Teaching, Federation University Australia, 2020). Previous roles include positions at Monash, Deakin, and Federation Universities, including roles as Business Intelligence Analyst and Program Coordinator. Research Interests: m-Health interventions, digital mental health tools, social media analytics for health surveillance, and collaborative computing in emergency management. He has published extensively in journals like *BMC Medical Research Methodology* and *Psychological Medicine*, with a focus on user-centered design frameworks and machine learning applications. Awards: Recognized with the Vice-Chancellor's Award for Excellence in Research (2021) and Early Career Researcher Awards (2020). His work spans 49 publications and 9 active projects, including collaborations with organizations like the Royal Flying Doctor Service and Gippsland Primary Health Network. Teaching: Coordinates modules in Advanced E-Security, Mobile Computing, and Information Security. Advises PhD students on topics like explainable AI, cyber-attack defense, and AI-driven mental health chatbots. Labs/Teams: Involved in projects leveraging federated learning for rural engagement and passive sensing technologies for maternal/paternal mental health assessment. Active on grant review panels for ACDICT and Canadian Tri-Agency committees.

Deborah Wiebeمشاهده پروفایل

استاد

• Health Psychology
• Chronic Illness Management
• Family Dynamics in Chronic Disease
• +۳ مورد دیگر

Deborah Wiebe is a Professor of Health Psychology and Director of the Health Sciences Research Institute at the University of California, Merced. She holds appointments in the Department of Psychological Sciences within the School of Social Sciences, Humanities & Arts. Her research focuses on how individuals and families manage chronic illnesses like diabetes and cancer across developmental stages, emphasizing self-regulation, family dynamics, and sociocultural influences. Her work employs mixed methods including qualitative interviews, longitudinal assessments, and ecological momentary assessments. Dr. Wiebe’s lab (www.wiebelab.org) investigates stressors in chronic illness management, particularly in adolescents and emerging adults. Key themes include parent-adolescent communication, social support systems, and the role of technology in healthcare adherence. She has pioneered interventions such as the FAMS-T1D mHealth program to improve self-regulation in diabetes management. Her research spans diverse populations including Latino and non-Latino families, addressing health disparities exacerbated by socioeconomic factors. Recent articles highlight her focus on diabetes-specific family conflict, insulin restriction subtypes, and the impact of global stress on health outcomes. Her work bridges clinical and developmental psychology, emphasizing real-world applications of research findings to improve healthcare practices and patient outcomes. Dr. Wiebe’s research has been disseminated through over 100 peer-reviewed articles and grants funded by NIH and foundations. She collaborates with multidisciplinary teams to advance understanding of chronic disease transitions and optimize family-centered care strategies.