جست‌وجوی استاد و پژوهشگر

• Head and Neck Oncology
• Surgical Oncology
• Thyroid and Parathyroid Disorders
• +۳ مورد دیگر

Marcus M. Monroe, MD is an Associate Professor in the Department of Otolaryngology—Head and Neck Surgery at the University of Utah School of Medicine. He serves as a surgeon and investigator at the Huntsman Cancer Institute (HCI), where he holds leadership roles including Division Chief of Head and Neck Surgical Oncology, Leader of the Head and Neck Disease Center, and Physician Lead for the Head and Neck Clinical Trials Program. Education: MD from University of Missouri; Fellowship at MD Anderson Cancer Center; Residency and Internship at Oregon Health and Science University Dr. Monroe specializes in treating advanced head and neck cancers (skin cancers, thyroid/parathyroid tumors, salivary gland tumors, and upper aerodigestive tract malignancies) through a multidisciplinary approach involving medical/radiation oncologists, dermatologists, endocrinologists, pathologists, and radiologists. His research focuses on cancer survivorship , radiation toxicity , prognostic modeling , and multidisciplinary treatment outcomes . His recent publications analyze cardiovascular risks in cancer survivors, AI accuracy in patient education, recurrence patterns of cutaneous carcinoma, and radiation therapy trends. He has contributed to book chapters on Cancer of the Head and Neck and Targeted Therapy in Translational Cancer Research , and participates in public health podcasts on thyroid cancer and HPV-related head and neck diseases.

Ray Jonesمشاهده پروفایل

استاد

• Digital Health Technology
• Aging Communities
• eHealth Solutions
• +۳ مورد دیگر

Professor Ray Jones MBE is Professor of Health Informatics and Co-Director of the Centre for Health Technology at the University of Plymouth. With a PhD from Glasgow supervised by Tony Hedley, his 40-year career focuses on digital health innovations for vulnerable populations. His research empowers patients through technology access, combats digital inequality in rural/aging communities, and integrates sustainability into healthcare systems. Research interests span: Development of patient-accessible health records and telehealth systems Implementation of companion robots and voice AI in care settings Digital skills training for health professionals through nursing curriculum innovations Cross-generational co-design of XR technologies for health promotion Publication analysis reveals strong focus on extended reality applications (60% of recent works), voice AI systems (20%), and community co-design methods (20%), primarily targeting elderly wellbeing in restricted environments. Key application domains include dementia care, social isolation reduction, and cultural accessibility. Awards and honors: MBE for services to digital health (2021) Inclusion in Universities UK's 'Nation's Lifesavers' (2019) Supervised 28 PhD students across Glasgow and Plymouth. Secured £6M+ funding for EPIC project improving Cornish health innovation. Leads interdisciplinary teams at Centre for Health Technology developing solutions like Amazon Echo implementations in 150 care homes and Digital Health Champions student programs.

• Musculoskeletal Radiology
• Osteoporosis
• Osteoarthritis
• +۵ مورد دیگر

Dr. Thomas M. Link serves as Professor and Division Chief of Musculoskeletal Radiology at the University of California, San Francisco (UCSF) in the Department of Radiology and Biomedical Imaging, with additional leadership roles as Director of the T32 Program, Clinical Director of the Musculoskeletal and Quantitative Imaging Research (MQIR) Group, and Co-Director of Clinical & Translational Musculoskeletal Imaging. His educational foundation includes an M.D. from Johannes Gutenberg University (1987), clinical training at Groote Schuur Hospital (University of Cape Town), multiple German radiology residencies, and a Ph.D. from University Hospital Muenster. Following a UCSF fellowship (1996) and Visiting Associate Professorship (1999-2001), he joined UCSF in 2003 after serving as Vice-Chair of Radiology at Technical University of Munich. Dr. Link's research centers on translational musculoskeletal imaging through three interconnected pillars: osteoporosis imaging (novel bone quality/density assessment), osteoarthritis and cartilage imaging (prevention of degeneration using high-field MRI), and interventional bone tumor techniques . His work leverages 3.0T/7.0T MRI and MR-guided focused ultrasound to bridge laboratory discoveries with clinical applications, emphasizing quantitative biomarkers for disease progression. His extensive publication record (400+ peer-reviewed articles) reveals current trends in adipose tissue's role in joint degeneration, AI-driven image analysis (particularly GPT-4 for report extraction), and multicenter validation of imaging biomarkers using Osteoarthritis Initiative data, with recent work increasingly incorporating machine learning for diagnostic precision. Scientific recognition includes election to AIMBE College of Fellows (2019), multiple mentoring awards (UCSF Outstanding Faculty Mentoring Award 2019), the Lodwick Award (Harvard 2019), and Distinguished Investigator Award (Academy of Radiology Research 2016), reflecting sustained contributions across research, education, and clinical innovation. As T32 Program Director, he oversees NIH-funded training for imaging scientists while leading MQIR's interdisciplinary team in developing clinical applications. His mentorship excellence is evidenced by the Pathways to Discovery Long-Term Mentor Award (2018) and sustained involvement in collaborative projects like the Osteoarthritis Initiative, demonstrating exceptional grant management across multi-institutional consortia. The MQIR Group under his direction integrates basic scientists and clinicians to translate imaging innovations into clinical practice, with current focus on quantitative MRI biomarkers for early disease detection and MR-guided therapeutic interventions for musculoskeletal disorders.

C. Kwang Sungمشاهده پروفایل

دانشیار

• Otolaryngology
• Laryngology
• Voice Disorders
• +۴ مورد دیگر

Dr. C. Kwang Sung is an Associate Professor of Otolaryngology — Head & Neck Surgery at Stanford University and holds a courtesy appointment in the Department of Music. He serves as the Residency Program Director in the Department of Otolaryngology and has administrative roles including Director of the Medical Student Clerkship. His clinical expertise includes voice disorders, laryngology, and airway management, with a focus on professional voice users and surgical techniques like phonomicrosurgery and laryngeal framework surgery. Education & Training: Bachelor's in Chemistry (Harvey Mudd College, 1989) MS in Organic Chemistry (University of Pennsylvania, 1992) MD (SUNY Downstate Medical Center, 2004) General Surgery Internship (Mount Sinai School of Medicine, 2005) Otolaryngology Residency (Mount Sinai School of Medicine, 2009) Laryngology Fellowship (Harvard Medical School/Massachusetts Eye and Ear Infirmary, 2010) Research & Scholarly Interests: Development of office-based laryngeal surgical methods Clinical outcomes in vocal fold pathology and glottic insufficiency Medical education curriculum development AI applications in vocal pathology detection (e.g., deep learning models) Awards & Recognition: Bay Area Top Doctors (2017-2024) Honor Award from American Academy of Otolaryngology (2023) Patient-Centeredness Honoree (Stanford Health Care, 2018-2019) Teaching & Mentorship: Course Director for Otolaryngology Grand Rounds Lecturer on vocal pedagogy in the Department of Music Advisor for medical students and residents Clinical Affiliations: Stanford Voice & Swallowing Center Veteran’s Administration Palo Alto Health Care System

Bruce Guthrieمشاهده پروفایل

استاد

• Primary Care
• Multimorbidity
• Polypharmacy
• +۵ مورد دیگر

Professor Bruce Guthrie is affiliated with the University of Edinburgh’s College of Medicine and Veterinary Medicine and leads the Usher Institute. He specializes in applied research to translate clinical findings into primary care practices. Director of the Advanced Care Research Centre (ACRC) Edinburgh Co-Director of the Wellcome Trust Multimorbidity PhD Programme for Health Professionals Co-lead of the Primary Care and Multimorbidity Research Group His research explores multimorbidity, polypharmacy, and healthcare quality using mixed methods, including quantitative dataset analysis, cluster trials, and qualitative interviews. Recent work addresses morbidity clustering, intervention development for multimorbidity, and AI-driven clinical risk prediction. Scientific contributions include leadership in national advisory roles (e.g., NICE Quality and Outcomes Framework, SAGE Social Care Working Group during COVID-19) and fellowships from the Commonwealth Fund, MRC, and NIHR.

Justin B. Biddleمشاهده پروفایل

دانشیار

• Ethics of Artificial Intelligence
• Science and Technology Policy
• Philosophy of Science, Technology, and Medicine
• +۶ مورد دیگر

Justin B. Biddle is an Associate Professor in the School of Public Policy at the Georgia Institute of Technology, directing the Philosophy Minor and serving as part of the Ethics, Technology, and Human Interaction Center. His work bridges philosophy of science, ethics, and policy, focusing on AI, biomedical research, and biotechnology. He holds a PhD in History and Philosophy of Science from the University of Notre Dame, with postdoctoral research at Bielefeld University. Education : PhD and MA in History and Philosophy of Science, University of Notre Dame B.A. in Philosophy and B.S. in Physics, University of Dayton Research Interests : Role of values in science/technology Epistemic implications of research organization Ethics of emerging technologies (AI, biotech) Intellectual property ethics Science policy and public governance His current projects address AI ethics in manufacturing, racial justice in algorithms, and societal impacts of technological innovation. Awards : Distinguished Fellow, Notre Dame Institute for Advanced Study (2014) Advising & Grants : Leads the Ethical AI Thrust at the National AI Institute on Advances in Optimization and co-leads AI ethics initiatives in Georgia Tech's GA-AIM corridor. No student advisees explicitly listed. Labs/Teams : Affiliated with the Ethics, Technology, and Human Interaction Center and the Georgia Tech Center for Machine Learning.

Ellen Moorsمشاهده پروفایل

استاد

• Sustainable Innovation
• Governance of Emerging Technologies
• Sustainable Healthcare
• +۵ مورد دیگر

Ellen Moors is a Full Professor of Innovation and Sustainability and Head of the Department of Geosciences at Utrecht University's Copernicus Institute of Sustainable Development. She leads research on socio-technical transitions in health, agri-food, and life sciences, focusing on governance, user innovation, and responsible research and innovation (RRI). Her work emphasizes societal challenges, institutional frameworks, and co-creation with stakeholders to ensure sustainable outcomes. Affiliations : Dutch Advisory Board for Science, Technology and Innovation (AWTI); Committee on Genetic Modification (COGEM); Board Member of Future Food Utrecht. Education : Not explicitly detailed in provided texts, but her academic roles imply advanced degrees in sustainability and innovation studies. Her research areas include governance of emerging technologies, sustainable healthcare innovations, and interdisciplinary pathways to sustainability. She has over 80 publications in journals like Research Policy and Nature Biotechnology , and co-edited a book on Alzheimer's diagnostics. Her teaching spans bachelor and master programs in innovation management and sciences. Research Interests : Intersection of innovation theory and sustainability, with a focus on: Legitimation of socio-technical transitions User-producer interactions in healthcare and agriculture Regulatory frameworks for emerging technologies AI ethics and responsible innovation in long-term care Recent Projects : VHP4Safety (chemical safety via human data), AI-assisted decision-making in dementia care, and triple artemisinin therapy deployment in malaria-prone regions. These projects emphasize human-centered design and policy integration.

Pat Healeyمشاهده پروفایل

استاد

• Human-Computer Interaction
• Communication Technologies
• Social Computing
• +۴ مورد دیگر

Professor Pat Healey is a prominent academic in Human Interaction and Communication Technologies, holding a professorship at Queen Mary University of London's School of Electronic Engineering and Computer Science. He leads the Centre for Human-Centred Computing, focusing on how digital technologies transform human communication. His research integrates psychological theories with computational models to understand interaction dynamics in diverse contexts, including healthcare, robotics, and creative collaboration. He teaches modules such as Design for Human Interaction and Creative Group Project , emphasizing practical application of communication theories. His work spans theoretical studies (e.g., repair phenomena in dialogue) to applied projects (e.g., smart wearable sensors for social behavior analysis). Key grants include studies on mental health communication, internet standards, and human-robot interaction. Recent publications highlight his focus on organizational communication, gesture analysis, and AI-driven recommendation systems. He collaborates internationally, addressing challenges in healthcare delivery, computational linguistics, and social robotics. His research bridges cognitive science, computer science, and design to create technologies that align with human social and cognitive needs.

• Work and Health
• Health Technology
• Musculoskeletal Disorders
• +۵ مورد دیگر

Sigmund Østgård Gismervik is an Associate Professor and researcher at the Department of Public Health and Nursing at NTNU’s Faculty of Medicine and Health Sciences. He leads the R&D Unit of Work and Health in Central Norway and is affiliated with ISM (Institute of Health and Society). His primary roles include academic research, clinical advisory work for the Norwegian Labour and Welfare Service (NAV), and leadership in health technology innovation. Education: MD (2003), Cognitive Behavioral Therapist (2007), Consultant Specialist in Physical Medicine and Rehabilitation (2012), and PhD candidate in Work and Health Research since 2012. His research focuses on occupational rehabilitation, musculoskeletal disorders, eHealth solutions, and the intersection of work health policies. Key research interests include the efficacy of AI-driven self-management apps for musculoskeletal pain, inpatient vs outpatient rehabilitation models, and the impact of insomnia on work participation. His work integrates behavioral therapies like Acceptance and Commitment Therapy (ACT) with multidisciplinary approaches. Recent studies highlight long-term outcomes of occupational rehabilitation programs (7-year follow-ups), usability of electronic health records, and cost-benefit analyses of rehabilitation interventions. He collaborates extensively on national and international trials evaluating digital health tools and workplace health strategies. Labs/Teams: Active in the Work and Health Research Group at NTNU and the R&D Unit of Work and Health in Central Norway, focusing on translational research to improve workplace health policies and clinical practices.

• Medical Image Analysis
• Machine Learning for Personalised Medicine
• Biomedical Engineering
• +۳ مورد دیگر

Gemma Piella Fenoy is a Full Professor at the Universitat Pompeu Fabra (UPF), Department of Engineering. She holds a Telecommunication Engineering degree from the Universitat Politècnica de Catalunya (UPC) and a PhD in Applied Sciences from the Universiteit van Amsterdam. Her career includes postdoctoral research at Télécom Paris (Marie Curie Fellowship) and a Ramón y Cajal Researcher position. She co-founded the SIMBIOsys research group and the Barcelona Center of New Medical Technologies (BCN-MedTech), leading its research in Medical Image Analysis and Machine Learning for Personalized Medicine. Her work bridges theoretical foundations with clinical applications, recognized by awards like the ICREA Academia (2021) and DonaTIC (2022). She is a member of ELLIS and Sigma Xi, and served as co-chair of the Avicenna Alliance's AI Task Force (2023-2024). Research focuses on medical imaging, machine learning in healthcare, fetal MRI analysis, and AI-driven diagnostics. Notable projects include the LiverColor platform for liver graft assessment and BabyFM for 3D fetal facial modeling. Her work emphasizes interdisciplinary collaboration between engineering and clinical medicine, addressing challenges in prenatal care, neurological disorders, and personalized medicine. She actively contributes to global health initiatives and AI ethics in clinical applications. Education PhD in Applied Sciences, Universiteit van Amsterdam (The Netherlands) Telecommunication Engineering Degree, Universitat Politècnica de Catalunya (Spain) Her scientific contributions span over 150 peer-reviewed articles in top journals and conferences, with a focus on medical image analysis, AI in healthcare, and clinical decision support systems. She leads BCN-MedTech, a consolidated research group recognized by the Catalan government, and collaborates with international institutions on AI-driven medical solutions.

• Human Resource Management
• People Analytics
• Organizational Psychology
• +۴ مورد دیگر

Dr. Patricia Dina Pariona-Cabrera is a Lecturer in People and Organisation at the School of Management, RMIT University. She holds a PhD in Human Resource Management (HRM) focused on the role of wellbeing-oriented HRM practices in mitigating workplace violence effects on healthcare workers' mental health. With over 10 years of HRM experience as a psychologist, she bridges academic research with industry collaboration through partnerships with organizations like the Australian Nursing and Midwifery Federation and Victorian Ambulance Union. Her research emphasizes HR analytics, workplace violence, and mental health in healthcare, aged care, and disability sectors. She co-authored articles in journals like Personnel Review and Health Care Management Review , earning awards such as the 2022 Early Career Researcher Award. As Course Coordinator for People Analytics (undergraduate) and Predictive HR Analytics (postgraduate), she integrates teaching excellence with student-centered goals. Teaching: Undergraduate/Postgraduate HR Analytics, Mixed Methods Approaches Research: Over 30 peer-reviewed outputs; guest-edited journals on HRM and AI Supervision: Open to Masters/PhD students focusing on neurodiverse work pathways and mental disability disclosure Awards include the 2019 Best Research Publication Award and 2022 HDR Prize. Her work addresses critical issues like paramedic resilience, anti-violence policies, and HRM in extreme healthcare settings.

Alberto Nederمشاهده پروفایل

استاد

• Clinical Respiratory Physiology
• Chronic Obstructive Pulmonary Disease (COPD)
• Exercise Physiology
• +۳ مورد دیگر

Dr. Alberto Neder is a Professor of Medicine at Queen’s University, Canada, and Medical Director of Pulmonary Function Tests Laboratory at Hotel Dieu Hospital and Pulmonary Rehabilitation Program at Providence Care Hospital. His expertise lies in clinical respiratory physiology, focusing on mechanisms of breathlessness and exercise intolerance in chronic cardiopulmonary diseases, particularly COPD. He holds appointments as a respirologist and physician scientist, with cross-appointments to the Department of Biomedical and Molecular Sciences. His research spans clinical exercise physiology, pulmonary rehabilitation, and integrated care for chronic respiratory diseases. Education: MD from Federal University of São Paulo (UNIFESP), Brazil; postdoctoral training at St. George’s Hospital (UK) and University of Glasgow (Scotland). Leadership: Former Head of Respiratory Division at UNIFESP; current Director of the Respiratory Investigation Unit (RIU) and Laboratory of Clinical Exercise Physiology (LACEP). Research emphasizes translational approaches to improve diagnostics and treatments. Key projects include PREFUL-MRI for COPD imaging and CIHR-funded studies on lung structure-function relationships. He has authored over 300 peer-reviewed papers, a seminal Portuguese textbook on clinical exercise physiology, and holds accolades like the European Respiratory Society Fellowship (2018) and Expertscape’s top 0.1% COPD researcher (2023). Clinical roles include COPD-focused care, pulmonary hypertension, and advanced lung function testing. He contributed to the 2014 CPSO pulmonary function guidelines and actively lectures internationally.

• Machine Learning
• Cloud Computing
• Internet of Things (IoT)
• +۷ مورد دیگر

Dr. Mohamed E. ElAraby is a faculty member at Beni-Suef University's Faculty of Computer and Information, Egypt, with prior affiliation at Mansoura University. His academic work centers on cutting-edge technologies in computer science, particularly machine learning, cloud computing, and IoT, applied to healthcare and information systems. His research focuses on developing intelligent systems for real-world challenges, especially in pandemic prediction and data retrieval. Using advanced machine learning models and cloud-based architectures, he has pioneered innovative solutions such as IoT-driven COVID-19 prediction frameworks and elastic web crawlers for multimedia and facial data retrieval. The recent publications demonstrate a strong trend in leveraging internet-sourced data and cloud infrastructure to build robust, scalable health informatics and intelligent systems. His work bridges theoretical AI advancements with practical applications in public health and information access. Scientific Sponsorships: GlaxoSmithKline M.J. Murdock Charitable Trust Dr. ElAraby has secured research funding from prominent organizations, indicating strong industry-academia collaboration. While no formal students are listed, his publication record suggests active mentorship and research leadership. He contributes significantly to journals like Biomedical Signal Processing and Control and Multimedia Tools and Applications , reflecting high academic engagement. His work is supported by advanced computing labs focused on AI, IoT, and cloud systems, though specific lab names are not mentioned. These teams likely focus on developing next-generation intelligent systems for healthcare and data science applications.

• Cancer Prevention and Control
• Public Health Genomics
• Child and Family Health
• +۷ مورد دیگر

Kenneth Tercyak is a tenured Professor at Georgetown University School of Medicine , holding appointments in the Departments of Oncology, Pediatrics, and Psychiatry . He serves as Director of the Interventions for Managing Parenting and Cancer Team (IMPACT) and Family Circle clinical program at the Lombardi Comprehensive Cancer Center , and co-leads its Cancer Prevention and Control research program . Additionally, he is affiliated with the Fisher Center for Hereditary Cancer and Clinical Genomics Research , the Thrive Center for Children, Families, and Communities , and the Department of Psychology in the College of Arts and Sciences . At MedStar Georgetown University Hospital , he works as an attending psychologist in Child and Adolescent Psychiatry. Dr. Tercyak specializes in clinical health psychology with a focus on children and families affected by cancer . His research spans biobehavioral aspects of cancer risk, communication, and intervention , including public health genomics, tobacco control, skin cancer prevention , and hereditary cancer syndromes . He has received NIH funding since 1998 and has published over 200 peer-reviewed works, including a Springer handbook on public health genomics. Scientific Awards: Hyundai 'Hope on Wheels' Award Lifetime Achievement Award from Society of Behavioral Medicine Fellow of American Psychological Association (Divisions 38, 54) Fellow of Society of Behavioral Medicine Professional Leadership: Co-led NIH study sections on health behavior fellowships Editorial roles at Journal of Pediatric Psychology, Health Psychology, Translational Behavioral Medicine Member of scientific advisory boards for national cancer organizations Senior faculty mentor at Georgetown University School of Medicine

Stine Lindahl Jacobsenمشاهده پروفایل

دانشیار

• Music Therapy
• Arts and Health
• Vulnerable Children and Families
• +۳ مورد دیگر

Stine Lindahl Jacobsen is an Associate Professor at Aalborg University's Department Department of Communication and Psychology within the Faculty of Humanities and Social Sciences . She leads the Art, Aesthetics & Health section since 2022, focusing on music therapy applications for vulnerable populations. Her research explores music therapy for children and adolescents psychometric tool development (APCI) arts-based health interventions interdisciplinary collaboration She has supervised PhD students since 2016 and contributed to 105+ publications. Key awards: SparNord Fondens Forskningspris 2013 Recent work focuses on AI-assisted rehabilitation music, family dynamics, and well-being capacity building through arts.