جست‌وجوی استاد و پژوهشگر

Megan Steeleمشاهده پروفایل

پژوهشگر ارشد

• Public Health
• Mental Health
• Forensic Psychiatry
• +۴ مورد دیگر

Megan Steele is an Honorary Senior Research Fellow at the University of Queensland's School of Public Health. Her research focuses on public health interventions, mental health in forensic settings, cancer survivorship, and Indigenous health equity. She contributes to initiatives like the Aboriginal and Torres Strait Islander Impact Strategy and collaborates with law enforcement and healthcare agencies to improve crisis response and patient outcomes. Key research areas include forensic mental health patients' physical activity, suicide crisis interventions, and substance use among justice-involved youth. Her work integrates data linkage studies and systematic reviews to address healthcare gaps in vulnerable populations. She has co-authored over 70 publications spanning oncology, neuroprotection, and public health policy. Her recent studies highlight innovative methods like bioimpedance spectroscopy for lymphedema diagnosis and explore exercise safety in cancer survivors. Collaborations with German oncology centers inform integrative therapy approaches. While no formal awards are listed, her extensive publication record demonstrates significant scholarly impact. Advising and grant details are not explicitly stated, but her involvement in multi-disciplinary projects suggests active team-based research. She contributes to initiatives like the Mental Health and Climate Change Research Network and Public Health Connect platform, fostering cross-sectoral partnerships.

Theocharis Kyriacouمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Robotics
• +۴ مورد دیگر

Theocharis Kyriacou is a Reader in Computer Science at Keele University, School of Computer Science and Mathematics. He holds roles as Director of Education and Programme Director for undergraduate and postgraduate Computer Science programmes since 2018. Educated at the University of Sheffield (BEng, 2000) and University of Plymouth (PhD in Computer Science, 2004), his research focuses on Data Science and Machine Learning applied to healthcare, robotics, education, and sports science. He has led a 3-year Knowledge Transfer Partnership (KTP) with Bentley Motors and supports local SMEs through consultancy. His work spans academic research collaborations across disciplines and organizational roles in curriculum development. Research interests include machine learning applications in cardiology (predicting cardiovascular risks), wearable electronics for neurological conditions, and educational technology for curriculum design. He has published widely in journals like International Journal of Cardiology and BMJ Open Sport and Exercise Medicine , with a focus on interdisciplinary problem-solving. Awards and recognitions are not explicitly listed, but his contributions include impactful collaborations with medical institutions and industry partners. Advising and grants include guiding students in KTP projects and securing funding for robotics and healthcare-related research. He has developed new academic programmes in computer science apprenticeships and cross-school initiatives. His involvement in labs/teams includes collaborations with Keele’s pharmacy, sports science, and medicine departments, as well as international partners.

• Haptics
• Assistive Technologies
• Rehabilitation Engineering
• +۳ مورد دیگر

Troy McDaniel is an Assistant Professor at Arizona State University's School of Manufacturing Systems and Networks, specializing in haptic interfaces and assistive technologies for people with disabilities. With over 50 peer-reviewed publications and two authored books, his work bridges engineering, computer science, and healthcare to develop innovative rehabilitation solutions. Ph.D. from Arizona State University His research focuses on haptic perception and human augmentation through wearable technologies, with emphasis on assistive devices for motor and cognitive rehabilitation. Key areas include vibrotactile communication systems, social robotics for elderly care, and machine learning applications for activity recognition. His work prioritizes user-centered design for real-world disability challenges. Recent publications (2023-2025) demonstrate strong trends in haptic neuro-spatial rehabilitation, executive function therapy apps, and social robot companionship systems. His research increasingly integrates privacy-preserving AI for smart city health applications while maintaining clinical validity through partnerships with institutions like Mayo Clinic. Multiple Top 5% teaching awards for faculty at the Ira A. Fulton Schools of Engineering Dr. McDaniel advises graduate students in manufacturing systems and robotics through dissertation committees (MFG 799, CSE 799), with recent projects spanning haptic training simulations to PERACTIV activity monitoring systems. His research funding includes significant NSF grants like the IGERT program on person-centered technologies for disabilities and collaborations with Intel Corp on smart stadium applications. He contributes to ASU's Smart Living Research initiative, developing haptic neuro-spatial rehabilitation devices and social robotics frameworks within interdisciplinary teams focused on translating lab innovations to community health solutions.

Scott E. Crouterمشاهده پروفایل

استاد

• Physical Activity Measurement
• Wearable Sensors
• Machine Learning Applications
• +۵ مورد دیگر

Scott E. Crouter is a Professor in the College of Education, Health, and Human Sciences at the University of Tennessee, Knoxville. He serves as director of the Applied Physiology Laboratory and is a Fellow of the American College of Sports Medicine. His research focuses on improving physical activity and energy expenditure measurement using wearable monitors and machine learning algorithms, with applications in youth, adults, and special populations like pregnant individuals and cancer survivors. Education: Postdoctoral in Nutritional Sciences (Cornell, 2005-07), PhD in Exercise Physiology (University of Tennessee, 2005), MS in Cardiac Rehabilitation/Adult Fitness (University of Wisconsin, 2000), BS in Exercise Science (Linfield College, 1998) Dr. Crouter's work spans physical activity assessment , sedentary behavior analysis , and technology validation . He has developed machine learning models for energy expenditure estimation using ActiGraph GT9X and Cosmed K5 devices. His recent studies examine pregnancy hyperglycemia interventions, urban environment impacts on activity patterns, and robotic exercise aids. He has secured significant NIH funding for projects including digital health weight management , pediatric obesity treatment translation , and fall risk factors in the elderly . As associate editor for Medicine and Science in Sports and Exercise and Journal for the Measurement of Physical Behaviors , he contributes to methodological advancement in activity monitoring. Scientific Awards: Fellow, American College of Sports Medicine Editorial Leadership National Physical Activity Plan Alliance Participation CDC/National Collaborative on Childhood Obesity Research Contributions National Academy of Sciences Committee Member Dr. Crouter's student collaborations include works with Natalie Butte on youth compendiums, Allan Opotowsky in cardiac rehabilitation trials, Patrick Hibbing in metabolic equivalent research, and Sara LaMunion in consumer monitor validation. His lab has produced over 100 publications and 15 recent articles focusing on sensor technology and population health.

• Artificial Intelligence and Data Science
• Decision Making & Optimization
• Machine Learning & Intelligence
• +۸ مورد دیگر

Min Lee is a Full-time Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS). Holding a PhD from Carnegie Mellon University (2021), Lee specializes in Artificial Intelligence with a focus on Human-AI Collaborative Systems and their applications in healthcare. Their research bridges technical innovation with human-centric design, emphasizing trustworthiness, explainability, and accessibility in AI systems. Research interests include decision-making optimization, human-machine collaboration, and AI-driven solutions for healthcare challenges such as stroke rehabilitation, elderly care monitoring, and clinical decision support. Lee has pioneered low-cost AI/robotic solutions for post-stroke rehabilitation exercises, integrating socially assistive robotics with real-time feedback mechanisms. Recent work highlights AI's role in enabling trustworthy clinical decision-making through explainable AI (XAI) techniques like counterfactual explanations and gradient-based methods. Their systems address ethical concerns in predictive healthcare and advocate for stakeholder-inclusive design processes. Awards and grants: No specific awards mentioned in the profile, though research has been supported through collaborative projects with clinical partners and iterative user evaluations involving therapists and patients. Advising focuses on multidisciplinary projects spanning AI, healthcare, and human-computer interaction. Current advisees include BHOSALE Rimmon Saloman, TRAN Truong Thuy, and YANG Xinlin. Lee collaborates closely with clinical stakeholders to translate technical advancements into practical healthcare solutions, emphasizing iterative design and real-world applicability. Labs/teams: Active in SCIS's AI and Data Science initiatives, leading projects on intelligent decision support systems, socially assistive robotics for rehabilitation, and human-centered AI ethics frameworks.

Christos Nicolaidesمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Social Networks
• +۵ مورد دیگر

Christos Nicolaides is an Assistant Professor at the Department of Business and Public Administration within the School of Economics and Management at the University of Cyprus (UCY), holding a secondary appointment as a Digital Fellow at MIT's Initiative on the Digital Economy. Previously, he spent three years as a James McDonnell Foundation-funded Postdoctoral Fellow at MIT Sloan School of Management. His educational background includes a PhD in Engineering from Massachusetts Institute of Technology (2014), SM from MIT (2011), MSc in Applied Mathematics from Imperial College London (2009), and BSc in Physics from University of Thessaloniki (2008). Nicolaides' research applies mathematical, statistical, and computational tools to large-scale empirical questions in social influence mediated by digital technologies. His work spans Data Science , Machine Learning , Social Networks , and Computational Social Science , with significant contributions to understanding human mobility patterns, disease transmission dynamics, and social contagion effects. His research has established novel methodologies for analyzing complex network structures in mobility data and social interactions. Analysis of his 15 most recent publications reveals a consistent focus on applying network science to real-world problems, particularly in pandemic response (12 publications), human mobility analytics (9 publications), and social contagion dynamics (7 publications). His work demonstrates increasing interdisciplinary integration, combining computer science, epidemiology, and organizational behavior since 2020. Marie S. Curie Fellow Two Highly Cited Papers by Web of Science (2017, 2020) Best Paper Award by Risk Analysis Society (2019) Professor of The Week by Poets & Quants (2020) As principal institutional investigator, Nicolaides has secured over €1 million in research funding from the European Commission, industry partners, Cyprus Innovation and Research Foundation, and Cyprus Ministry of Health. His current teaching includes Social Networks and Entrepreneurship, Introduction to Operations Management, and Quantitative Methods in Management. Media coverage of his work spans major outlets including The New York Times, CNN, Nature, and Science, with significant impact on public health policy discussions during the COVID-19 pandemic.

David J Reinkensmeyerمشاهده پروفایل

استاد

• Neuroengineering
• Rehabilitation Robotics
• Motor Control
• +۳ مورد دیگر

David J. Reinkensmeyer is a Professor at the University of California, Irvine (UCI), holding appointments in the Department of Mechanical & Aerospace Engineering (The Henry Samueli School of Engineering), Anatomy & Neurobiology (School of Medicine), and Biomedical Engineering. His research focuses on neurorehabilitation engineering, developing robotic and sensor-based technologies to enhance motor recovery after neurological injuries such as stroke and spinal cord injury. He leads interdisciplinary efforts in robotic therapy, sensor design for movement assessment, and computational models of motor learning. Key areas include: Design of robotic devices for upper/lower extremity rehabilitation Development of wearable sensors to monitor home exercise programs Studying motor adaptation and proprioception in clinical populations Optimizing neurorehabilitation interventions through computational modeling His work integrates biomechanics, machine learning, and clinical neuroscience to create practical solutions for disabling movement disorders. Recent projects explore scalable mRehab systems, data-driven diagnostics, and real-time feedback technologies. Funding sources include NIH grants (e.g., R01 HD062744) and industry collaborations. Over 200 peer-reviewed publications and numerous patents reflect his impact in translating engineering innovations into clinical practice.

Christina Haagمشاهده پروفایل

پژوهشگر

• Mental Health
• Natural Language Processing
• Activity Sensing Data
• +۳ مورد دیگر

Dr. Christina Haag is a postdoctoral researcher at the Institute for Implementation Science in Health Care , affiliated with the Faculty of Medicine at the University of Zurich . She leads interdisciplinary projects at the intersection of mental health, digital health, and computational linguistics, focusing on chronic illnesses like multiple sclerosis (MS). Her work leverages free text, sensor data, and advanced analysis techniques such as hierarchical modeling and natural language processing (NLP). Doctorate from the Institute of Psychology, University of Zurich Research experience at the MRC Cognition & Brain Sciences Unit, University of Cambridge Her research explores: Daily-life mental and physical health indicators in MS Development of NLP methods for text classification and topic modeling Digital biomarker creation using wearable sensor data Mindfulness interventions for affective executive control Implementation of remote monitoring tools in healthcare Her recent publications highlight trends in applying NLP and machine learning to unstructured health data, analyzing MS activity patterns, and refining interdisciplinary research methodologies. She contributes to DSI communities including AI & Law , Health , and Ethics , and collaborates on projects like BarKA-MS and DSI-Approach . She is a core member of the UZH Digital & Mobile Health Group , working under Prof. Viktor von Wyl.

Jakob Eg Larsenمشاهده پروفایل

دانشیار

• Human Computer Interaction (HCI)
• Personal Informatics
• Quantified Self
• +۳ مورد دیگر

Jakob Eg Larsen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Applied Mathematics and Computer Science (DTU Compute) within the Cognitive Systems Section. He leads the Mobile Informatics and Personal Data Laboratory (MILAB). His research focuses on Human-Computer Interaction (HCI), Personal Informatics, Quantified Self, and Information Visualization, with applications in wearable technology, mental health, and healthcare. He teaches courses in Digital Media Engineering, including user experience, mobile application prototyping, and personal informatics. Education: PhD (2005) and MSc in Computer Science (1999) from the University of Copenhagen, with additional studies in cognitive psychology. Research emphasizes wearable devices for mental health interventions (e.g., PTSD treatment), physical activity tracking in pregnancy, and personalized hearing aid systems. Over 98 publications and 12 supervised PhD projects highlight his contributions to HCI, mHealth, and data-driven healthcare solutions. Labs/Teams: MILAB focuses on mobile informatics and personal data interaction. Collaborations span interdisciplinary fields like audiology, clinical psychology, and public health.

Eric Wickelمشاهده پروفایل

استاد

• Physical behavior assessment
• Physical activity
• Sedentary behavior
• +۱۲ مورد دیگر

Eric Wickel, Ph.D., is a Professor and John C. Oxley Endowed Chair of Kinesiology & Rehabilitative Sciences at The University of Tulsa's Oxley College of Health and Natural Sciences. His research focuses on physical behavior assessment using wearable devices and self-report tools, with applications to cardiovascular disease risk factors, sedentary behavior, and youth health outcomes. Education: Ph.D., Iowa State University (2006) M.S., University of Wyoming B.S., University of Wyoming His work examines associations between physical activity, sedentary behavior, and sleep using advanced methods like thigh-worn accelerometers, funded by TSET and Oklahoma Center for the Advancement of Science and Technology. Current research explores emergent assessment tools for daily behavior analysis in health promotion. Notable trends in his publications (2019–2009) include: Physical behavior surveillance in early childhood interventions Methodological advancements in wearable technology validation Developmental patterns of sedentary behavior and activity compliance Maturity-related differences in physical activity among youth After-school period behavioral dynamics Cardiovascular risk factor analysis through longitudinal studies Scientific recognition includes: American Heart Association Institutional Research Advancement Award (2025) Oxley College Dean’s Excellent Faculty Award (2025) TSET Seed Grant (2023) Oklahoma Center for the Advancement of Science and Technology Award (2023) Multiple Oxley College Outstanding Research/Teaching Awards (2020, 2016, 2009) Wickel contributes to community health through Tulsa County Community Health Improvement Plan (CHIP) and serves as faculty affiliate of the TSET Health Promotion Research Center.

• Human-Robot Interaction
• Rehabilitation Robotics
• Socially Assistive Robotics
• +۷ مورد دیگر

Carlos Cifuentes is an Associate Professor in Human-Robot Interaction at the Bristol Robotics Laboratory (BRL) , part of the University of the West of England (UWE Bristol) . He also serves as the Deputy Director of the VIVO Hub , a £13.4M UK-funded research initiative (2024-2030) focused on robotics for rehabilitation and healthcare. His research spans Human-Robot Interaction , Rehabilitation Robotics , Healthcare Robotics , and Socially Assistive Robotics , with applications for conditions such as cardiac diseases , post-stroke recovery , spinal cord injuries , cerebral palsy , Parkinson's disease , musculoskeletal disorders , and autism spectrum disorder (ASD) . Carlos has over 15 years of experience and 200+ publications in robotics for rehabilitation and assistive technologies. His recent work explores smart walkers with multimodal feedback, soft prosthetics using polymeric optical fiber sensors , and machine learning models for fatigue and stress estimation. He also investigates inclusive design for social robots in global contexts , including a CASTOR Robot for ASD therapy and collaborative design processes with Colombian communities. Carlos serves as an Associate Editor for IEEE Robotics and Automation Magazine (since 2021), ICRA , and IROS (since 2023). He leads projects integrating wearable sensors , deep learning , and haptic feedback to enhance mobility, autonomy, and quality of life for individuals with disabilities. As Deputy Director of the VIVO Hub, he focuses on long-term deployment of robotic systems in real-world healthcare settings, emphasizing collaboration with clinicians , caregivers , and neurodiverse communities . His work bridges robotics , biomedical engineering , and human-centered design .

• Artificial Intelligence
• Healthcare Technologies
• Assistive and Rehabilitation Technologies
• +۵ مورد دیگر

Professor Dorothy Monekosso holds a PhD in Spacecraft Engineering from the University of Surrey and is currently a Professor of Computer Science at Durham University. She also serves as Chief Technical Officer (CTO) at More Life UK Ltd, a health-focused company contracted with NHS England. Her research focuses on applying AI and machine learning to healthcare technologies, including assistive and rehabilitation systems. Notable projects include the Virtual Physiotherapist for stroke recovery and the Digital Health Hub. Education: PhD (2000) in Spacecraft Engineering (University of Surrey), Master’s in Satellite Engineering, Bachelor in Electronic Engineering. Research Interests: Behavior Analytics, Digital Twin Computing, Anomaly detection, Medical Image Analysis, Smart Environments, and Wearables. Her work bridges robotics, AI, and healthcare to improve independent living and clinical decision support. Awards: Royal Academy of Engineering Foresight Award (2000), Honorary Fellowship of the British Computer Society (2020). Grants/Projects: Innovate UK-funded weight management programs, MRC-funded Virtual Physiotherapist studies, collaborations with NHS and Assisted Living Leeds. Labs/Teams: Leads development of assistive technologies through Durham’s Computer Science department and industry partnerships. Current supervision includes Strahinja Klem.

• Diabetes
• Cardiovascular Outcomes
• Diabetic Nephropathy
• +۵ مورد دیگر

Professor Steve Bain is a Professor in Medicine (Diabetes) at Swansea University, affiliated with the School of Biomedical Sciences and the Swansea University Medical School. He holds dual roles as Assistant Medical Director for Research & Development at Swansea Bay University Health Board and Clinical Director of the Diabetes Research Unit. His career spans academic research, clinical practice, and healthcare policy. Prof. Bain completed his undergraduate studies at St John's College, Cambridge, and clinical training at King's College Hospital, London. He has held academic positions at the University of Birmingham (Reader in Diabetic Medicine) before moving to Swansea in 2005 as a Chair in Medicine. His clinical expertise includes diabetes management, nephropathy, and novel therapies. Research interests focus on diabetes genetics, cardiovascular outcomes, and kidney disease. He leads multi-center trials (e.g., ONWARDS, SOUL) and chairs the ILS Joint Clinical Research Facility Board. Awards include Fellowship of the Royal College of Physicians (1996). He advises national bodies like the UK Human Genetics Commission and contributes to guidelines (e.g., ABCD-UKKA kidney disease management). His teaching includes leading the Diabetes Practice Masters program and courses on diabetes epidemiology and therapeutics.

Corey Tomczakمشاهده پروفایل

دانشیار

• Cardiovascular Physiology
• Cardiac Rehabilitation
• Heart Failure
• +۴ مورد دیگر

Dr. Corey Tomczak is an Associate Professor in the Department of Kinesiology at the University of Saskatchewan. His research focuses on cardiovascular physiology, cardiac rehabilitation, and exercise intolerance in chronic conditions such as heart failure and congenital heart disease. He holds a PhD in Rehabilitation Medicine and has extensive postdoctoral training in the field. His work integrates clinical and physiological approaches to improve outcomes in patients with cardiovascular disorders. Affiliations: University of Saskatchewan, College of Kinesiology Research Themes: Health Aging and Management of Chronic Conditions, Child and Youth Health and Development Dr. Tomczak's research examines mechanisms underlying exercise limitations in heart failure and congenital heart disease, including autonomic regulation, vascular function, and skeletal muscle metabolism. He has trained numerous graduate students and mentors future researchers in cardiovascular physiology. His lab, the Russ Kisby Physical Activity and Health Promotion Laboratory, collaborates with clinical partners at the Royal University Hospital. Key areas of investigation include cerebrovascular responses during exercise, muscle metaboreflex modulation of cardiac function, and the impact of exercise training on cardiovascular outcomes. Recent work highlights impaired vascular function in heart failure and sex-based differences in exercise capacity.

• Sport & Exercise Physiology
• Isometric Resistance Training
• Cardiovascular Physiology
• +۹ مورد دیگر

Dr. Anthony Baross is an Associate Professor of Sport & Exercise Physiology at the University of Northampton, affiliated with the Faculty of Arts, Science and Technology and the Department of Sport, Exercise and Life Sciences. He has been a faculty member since 1998 and currently serves as a research theme lead, actively supervising PhD students and securing external funding for impactful research. His educational background includes a PhD in Cardiovascular Physiology from the University of Kent (2011), an MSc in Exercise and Health Behaviour from City University, London, and a BSc in Sport Science from Canterbury Christ Church University. He also holds a PGCE in post-compulsory education. Dr. Baross’s primary research focuses on the cardiovascular benefits of isometric resistance training (IRT), particularly its effects on ambulatory blood pressure and morning blood pressure surge in both normotensive and hypertensive individuals across age groups. He also investigates eccentric exercise, blood flow restriction training, and cryotherapy in aging populations. His work combines laboratory-based trials with real-world applications, often involving collaboration with institutions such as the University of Windsor and the University of Greenwich. His recent publications (2021–2025) reflect a strong trend in clinical exercise interventions, with emphasis on randomized controlled trials, longitudinal studies, and technical validations of training devices. Key themes include training frequency, detraining effects, cardiovascular reactivity, and home-based interventions for blood pressure management. Dr. Baross has led multiple funded projects, including those supported by local government, charitable organizations, and internal university funds, focusing on hypertension reduction and community health. His work has been presented at international conferences such as the European College of Sport Science. He actively supervises doctoral students including Brett Baxter, Saul Cuttell, Adnan Haq, and Dominic Langdon, whose research spans eccentric exercise, cryotherapy, and blood flow restriction. He is involved in public health partnerships and knowledge transfer initiatives, further amplifying the societal impact of his research.