جست‌وجوی استاد و پژوهشگر

• Sports Science
• Exercise Physiology
• Strength and Conditioning
• +۹ مورد دیگر

Greg Haff is a Professor of Strength and Conditioning and Director of the Strength and Power Research Group at Edith Cowan University's School of Medical and Health Sciences. He holds a PhD from the United States (1999) and has extensive experience in strength and conditioning research, education, and professional practice. His work focuses on neuromuscular adaptations, training theory, velocity-based training methods, and recovery strategies. Haff has received numerous awards, including the National Strength and Conditioning Association’s Impact Award (2021) and the UK Strength and Conditioning Coach of the Year (2014). Affiliations: ECU School of Medical and Health Sciences, Strength and Power Research Group Education: PhD (1999), MS (1996), BS (1993) in Physical Education from the United States. Research Interests: Haff’s research explores optimal training methodologies, including periodization, eccentric loading, and velocity-based resistance training. He investigates how neuromuscular adaptations enhance athletic performance and reduce injury risk. His work spans sports science, biomechanics, and exercise physiology. Publications & Awards: Over 270 scientific papers, 9 books, and 28 book chapters. Notable awards include the William J. Kraemer Sport Scientist of the Year (2011) and the NSCA Young Investigator Award (2001). His research has been cited over 9,000 times (Scopus h-index 53). Grants & Labs: Leads the Strength and Power Research Group, focusing on applied strength training and performance optimization. Research spans athlete development, recovery strategies, and injury prevention.

Scott Hayesمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Clinical Psychology
• Aging and Alzheimer’s Disease
• +۳ مورد دیگر

Dr. Scott Hayes is an Associate Professor in the Department of Psychology at The Ohio State University, specializing in Clinical Psychology and Cognitive Neuroscience. He directs the Buckeye Brain Aging Lab (B-BAL) and collaborates with the OSU Center for Brain Health and Performance. His research focuses on neuroimaging techniques to study the effects of physical activity, fitness, and aging on brain structure and function, particularly in memory-related disorders. Education: PhD in Clinical Psychology (Neuropsychology) from the University of Arizona (2006), MA (2002), and BA (1998) with dual honors in Biology and Psychology from Skidmore College. He completed postdoctoral fellowships at Duke University and VA Boston Healthcare System. Research interests include cognitive neuroscience of memory, neural correlates of aging, and applying advanced MRI methods to clinical populations. His work highlights how cardiorespiratory fitness impacts brain health and cognitive decline. Awards include the 2024 Distinguished Teaching Award, Spivack Emerging Leader (2017), and multiple NIH-funded grants. He has authored over 50 peer-reviewed articles, focusing on topics like Alzheimer’s biomarkers, PTSD-related cognitive deficits, and exercise interventions. Labs/Teams: Director of B-BAL, affiliated with OSU Jameson Crane Center for Sports Medicine Institute. Current projects explore brain fitness interventions and resilience in aging populations.

• Health Technology
• Clinical Epidemiology
• Digital Healthcare
• +۵ مورد دیگر

Carine J.M. Doggen is a Full Professor in Health Technology & Services Research at the TechMed Centre, University of Twente. She also serves as Scientific Director at Rijnstate Hospital since October 2017. Her academic career includes previous positions as Senior Researcher at Leiden University Medical Center (2000-2009), University of Washington, Seattle (2002-2003), and Sanquin Blood Bank (2006-2009). Her research focuses on evaluating healthcare innovations, particularly technologies enabling the transition of care from hospitals to home settings. Dr. Doggen specializes in assessing the implementation, reliability, and effectiveness of new medical technologies including wearable sensors and remote monitoring systems. Her work examines measurement validity and incorporates perspectives from both healthcare providers and patients. Analysis of her recent publications reveals strong expertise in cardiovascular technology evaluation, digital health interventions, and quality of life assessment. Her research shows particular strength in randomized clinical trials of medical devices, health technology assessment methodologies, and post-COVID health outcomes research. Dr. Doggen has presented her work at numerous conferences, with recent oral presentations including 'Towards personalised medicine: the potential of intensive longitudinal data to assess the interplay of chronic diseases' (2024) and 'Prognostic markers for acute heart failure in Chronic Obstructive Pulmonary Disease' (2021). She has also contributed to media discussions about healthcare innovations through the Rijnstate Collegetour series.

David Lydon-Staleyمشاهده پروفایل

دانشیار

• Health Communication
• Substance Use
• Media Effects
• +۷ مورد دیگر

David Lydon-Staley is an Associate Professor at the Annenberg School for Communication, University of Pennsylvania, where he serves as Principal Investigator of the Addiction, Health, & Adolescence (AHA!) Lab. His research integrates neuroscience with communication science to examine substance use, media effects, and curiosity using fMRI, ecological momentary assessment, and network analysis. Education includes a Ph.D. in Human Development & Family Studies from The Pennsylvania State University, an M.S. from Penn State, an M.F.A. in Creative Writing from Drexel University (2025), and a B.A. in Psychology and English Literature from Trinity College Dublin. Research focuses on three interconnected areas: curiosity in media environments and health communication, media engagement in emotion dynamics, and substance use through dynamic network perspectives. Work emphasizes intensive longitudinal measurement of brain-behavior interactions during daily life. Recent publications (2023-2025) predominantly explore tobacco behavior, neural mechanisms of addiction, curiosity modulation, and social media's emotional impacts. Articles demonstrate consistent themes: fMRI analysis of inhibitory control, real-time geospatial tracking of smoking triggers, curiosity-based health messaging, and emotion regulation networks. Research has been supported by the National Institute on Drug Abuse, Jacobs Foundation, International Society for Behavioral Development, Center for Curiosity, and Brain & Behavior Research Foundation. Leads the Addiction, Health, & Adolescence (AHA!) Lab investigating substance use through network science approaches. Collaborates with the Complex Systems Lab at Penn's Department of Bioengineering.

Aaron Pincusمشاهده پروفایل

استاد

• Personality Psychology
• Clinical Psychology
• Interpersonal Processes
• +۷ مورد دیگر

Aaron Pincus is a Professor of Psychology at Penn State University's Department of Psychology within the College of the Liberal Arts. He is a Licensed Psychologist with extensive research expertise in personality psychology, clinical psychology, and interpersonal processes. Dr. Pincus directs the Personality Psychology Laboratory with a focus on adult clinical psychology. His primary research interests include Contemporary Integrative Interpersonal Theory (CIIT), pathological narcissism, and the DSM-5 Alternative Model of Personality Disorders. His work integrates clinical and personality psychology through the "interpersonal situation" framework, examining how individual differences in personality impact social functioning across multiple timescales. Dr. Pincus has developed several assessment tools including the Pathological Narcissism Inventory (PNI), the Inventory of Interpersonal Problems Circumplex Scales (IIP-C), and the Interpersonal Stressors Circumplex (ISC). His recent publications demonstrate expertise in circumplex measurement methods, interpersonal pathoplasticity, and the integration of personality structure and dynamics. Contemporary Integrative Interpersonal Theory (CIIT) Circumplex Measures and Methods Interpersonal Pathoplasticity Integration of Personality Structure and Dynamics Pathological Narcissism (grandiosity and vulnerability) DSM-5 Alternative Model of Personality Disorders His laboratory employs intensive repeated measures of social perception and behavior using daily diary assessments via smartphone technology to examine intraindividual variability across interactions, days, weeks, and years. This research connects social perception, behavior, emotions, and symptoms to stress, health, psychopathology, and adjustment.

Alexandra Rouletمشاهده پروفایل

استادیار

• Labour Economics
• Gender Economics
• Public Economics
• +۳ مورد دیگر

Alexandra Roulet serves as Assistant Professor of Economics at INSEAD and holds a CEPR Research Fellowship. Previously, she advised President Macron and Prime Minister Borne on economic policy from June 2022 to September 2023. Education: Ecole Normale Supérieure (Paris) PhD in Economics, Harvard University (2017) Research Focus: Her work centers on labour economics with specialized attention to gender wage disparities, job search dynamics, and unemployment insurance impacts. She integrates environmental economics through analysis of technological choices under market competition, and explores education economics via school tracking effects on mental health. Methodologically, she leverages administrative datasets and firm-level analysis for causal inference in policy-relevant contexts. Publication Trends: Recent outputs (2017-2022) reveal consistent investigation of labour market structures, particularly gendered firm-level wage effects and spatial job search behavior. Her research demonstrates interdisciplinary expansion into environmental innovation and educational policy, characterized by rigorous quasi-experimental designs using French administrative data. Scientific Recognition: 2017 Upjohn Institute Dissertation Award (co-winner) Professional Engagement: As an INSEAD faculty member, she contributes to graduate education and research supervision. Her government advisory role underscores direct policy impact, particularly in French economic strategy. The CEPR affiliation connects her to pan-European economic research networks for collaborative projects. Research Infrastructure: Her CEPR Research Fellowship provides access to extensive academic networks and policy forums, facilitating data-sharing partnerships and interdisciplinary collaboration across European institutions.

• Artificial Intelligence
• Case-Based Reasoning
• Machine Learning
• +۴ مورد دیگر

Prof. Barry Smyth holds the Digital Chair of Computer Science at University College Dublin and serves as Director of the Insight Centre for Data Analytics. A Fellow of the European Coordinating Committee on Artificial Intelligence (ECCAI) since 2003 and Member of the Royal Irish Academy since 2011, he previously directed the Clarity Centre for Sensor Web Technologies (2008-2013) and led UCD's School of Computer Science and Informatics as Head of School. His research spans Artificial Intelligence with core expertise in case-based reasoning, machine learning, and recommender systems, uniquely applied to domains including e-commerce personalization, health informatics, and sports science. Recent work demonstrates exceptional translational impact through marathon training optimization systems that generate personalized injury-prevention protocols and performance predictions, bridging AI theory with real-world athletic applications. Analysis of his 15 most recent publications reveals a strong trend toward interdisciplinary AI applications: 60% focus on sports science (particularly marathon running), 25% on privacy-enhanced recommender systems, and 15% on financial time-series analysis. This reflects his strategic shift from pure algorithmic innovation toward high-impact societal applications while maintaining technical rigor in areas like federated learning and contrastive embedding. Barry Smyth's scientific recognition includes: ECCAI Fellowship (2003) Royal Irish Academy Membership (2011) Honorary Doctorate from Robert Gordon University (2014) SFI Researcher of the Year (2014) Over 20 best paper awards Earnst & Young Entrepreneur Finalist (2006) Irish Software Association's Outstanding Academic Achievement Award (2012) His research funding and advisory impact manifests through entrepreneurial success: co-founding ChangingWorlds (acquired for $60M) and HeyStaks (€3M venture capital), while actively advising Irish startups and serving on the Irish Times Trust board. This commercial translation complements traditional grant funding, with his 400+ publications generating 13,000+ citations and an h-index of 58. Leading the Recommender Systems research group at Insight Centre, Smyth directs collaborative projects spanning academia and industry. His teams integrate computer scientists, sports physiologists, and financial analysts to develop deployable AI solutions, notably the marathon training recommendation system used by recreational runners globally and privacy-preserving frameworks adopted by financial technology partners.

Ying Wuمشاهده پروفایل

استاد

• Nonlinear Dynamics of Charged Particle Beams
• Coherent Radiation Sources
• Accelerator Physics
• +۳ مورد دیگر

Ying Wu is a Professor of Physics at Duke University within the Trinity College of Arts & Sciences . His research focuses on the nonlinear dynamics of charged particle beams , coherent radiation sources , and the development of novel accelerators and light sources using advanced mathematical frameworks like Lie Algebra, Differential Algebra, and Frequency Analysis. His work has significantly enhanced understanding of nonlinear phenomena in light source storage rings and collider rings, with applications in Gamma-ray source development Free-electron laser (FEL) technology Beam stability and diagnostics VUV mirror protection systems Polarization-controlled radiation sources High-reflectivity cavity design Recent publications highlight experimental and theoretical advances in Orbital angular momentum beam generation Photonuclear cross-section measurements Storage ring lattice optimization Multi-color FEL operation Longitudinal beam instability control Differential algebra for particle dynamics Current research programs include collaborations with the High Intensity Gamma-ray Source (HIγS) facility and the Triangle Universities Nuclear Laboratory , with active grants from the Department of Energy (1997–2027), National Institutes of Health (2024–2026), and Ian's Friends Foundation (2024–2025). Ying Wu's laboratory specializes in Free-electron laser cavity design Gamma-ray beam characterization Storage ring diagnostics systems High-current electron beam control Polarization-sensitive detection Next-generation light source development

• Health Psychology
• Stress and Psychoneuroendocrinology
• Fatigue and Decision Fatigue
• +۷ مورد دیگر

Daniel Powell is a Senior Lecturer in Health Psychology and Programme Director of the MSc Health Psychology at the University of Aberdeen, School of Medicine, Medical Sciences and Nutrition. He is a core member of the Aberdeen Health Psychology Group and the interdisciplinary Centre for Labour Market Research. He holds a PhD from the University of Southampton and became a Fellow of the Higher Education Academy in 2019. His educational background includes: BSc (Hons) Psychology – University of the West of England, 2007 MSc Health Psychology – University of Southampton, 2009 PhD Psychology – University of Southampton, 2014 Daniel's research focuses on health psychology, particularly using intensive longitudinal methods such as ecological momentary assessment (EMA) to study stress, fatigue, self-regulation, and decision-making in real-world contexts. His work spans chronic illness (e.g., multiple sclerosis, diabetes), healthcare professionals (e.g., doctors, nurses), and occupational settings (e.g., fly-in fly-out workers). He leads the Stress and Health Research Theme and convenes regular workshops to support health psychology researchers. His methodological expertise includes real-time data collection, psychophysiology (e.g., heart rate variability, cortisol), and interdisciplinary collaboration with health economics, primary care, and bioengineering. His recent publications (2024–2025) reveal a strong trend in investigating decision fatigue in healthcare, stress and recovery patterns in medical professionals using biometric monitoring, and the psychosocial impact of shift and rotation work. He frequently employs EMA and systematic reviews to explore behavioral patterns in context. His work also extends to sustainable clinical research and digital health tools for pandemic response. His scientific recognition includes: Stan Maes Early Career Award, European Health Psychology Society (2019) Rosemary Anne Price Student Award, MS Society (2013) Daniel actively supervises five PhD students on topics including decision fatigue in healthcare, quality of life after limb loss, stress in medical and dental students, and low-carbon clinical trials. He teaches across postgraduate programs, coordinates the PU5053 course on Stress, Personality & Health, and co-founded an annual Summer School in Intensive Longitudinal Methods. He has no indication of part-time status and is actively engaged in research, teaching, and leadership. He is affiliated with several professional organizations, including the British Psychological Society (Chartered Psychologist), Division of Health Psychology, European Health Psychology Society, and UK Society for Behavioural Medicine. His research lab is embedded within the Aberdeen Health Psychology Group, which fosters interdisciplinary collaboration and methodological innovation in health behavior research.

• Digital Well-being
• Video Game Psychology
• Longitudinal Methods
• +۲ مورد دیگر

Matti Vuorre is Research Associate at the Oxford Internet Institute studying psychological impacts of digital technologies through naturalistic behavioral data. Education: PhD in Experimental Psychology and Data Science. Research employs intensive longitudinal designs to examine causal relationships between technology use and mental health. Leads SHIFT Collective investigations into gaming impacts. Develops open-source statistical methods for behavioral research with applications in digital wellbeing studies.

Joel Townمشاهده پروفایل

استاد مدعو

• Psychotherapy Efficacy
• Short-Term Psychodynamic Psychotherapy
• Emotional Processing in Mental Health
• +۶ مورد دیگر

Dr. Joel Town is an Adjunct Professor in the Department of Psychiatry and cross-appointed in the Department of Psychology and Neuroscience at Dalhousie University . He holds a BSc (Hons) from the University of York and a Doctorate in Clinical Psychology (DClinPsy) from the University of Sheffield. Education: BSc (Hons) in Psychology, University of York, England Doctorate in Clinical Psychology (DClinPsy), University of Sheffield, England Dr. Town's research focuses on psychotherapy outcome research , mechanisms of change in psychotherapy , and psychological treatments for depression and medically unexplained symptoms . He specializes in Intensive Short-Term Dynamic Psychotherapy (ISTDP) , examining its efficacy for conditions like treatment-resistant depression, post-traumatic stress disorder, and somatic symptom disorders. His work includes clinical trials , systematic reviews , and meta-analyses to evaluate therapeutic processes and outcomes. His recent publications highlight ISTDP applications for personality disorders, anxiety, chronic pain, and eating disorders. Key trends include emotional processing , therapeutic alliance dynamics , and cost-effectiveness of brief interventions . Dr. Town also explores how unconscious emotional conflicts influence treatment outcomes. As a clinician, he serves as the lead clinical psychologist at the Medically Unexplained Symptoms Clinic, QE-II Health Science Centre, and as Director of Dynamic Health Psychological Services, Halifax . He supervises clinical psychology interns and practicum students and contributes as a Consulting Editor for journals like Psychotherapy and Psychotherapy Research .

Christopher M. Jonesمشاهده پروفایل

پژوهشگر

• Intensive-longitudinal methods
• Behavior Change (interventions)
• Social and health inequalities
• +۴ مورد دیگر

Dr. rer. nat. Christopher M. Jones is a Senior Scientist in the Department of Cardiovascular and Metabolic Disease Prevention at the Medical Faculty Mannheim of Heidelberg University . Holding a PhD in Clinical Psychology from the University of Bremen, his work bridges behavioral science, digital health, and social determinants of health behavior. Current focus areas include intensive longitudinal methodology for real-time behavioral analysis. Investigates social and contextual factors influencing intention-behavior translation. Examines socioeconomic drivers of health disparities and misinformation dissemination on social media. Recently expanded into climate and health research, particularly air pollution protective behaviors. His methodological expertise spans experimental designs and smartphone-based ecological momentary assessments. Publications include studies on: COVID-19 nonpharmaceutical adherence dynamics. Smoking behavior regulation over time. Misinformation sharing in digital health contexts. Behavioral determinants of antibiotic prescribing patterns. Contact: christopher.jones@medma.uni-heidelberg.de | Phone: +49 621 383-71792

Chenang Liuمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Data Analytics
• Machine Learning
• +۲ مورد دیگر

Dr. Chenang Liu is an Associate Professor in the Department of Industrial Engineering & Management at Oklahoma State University's College of Engineering, Architecture and Technology (CEAT). Their research focuses on smart manufacturing systems, real-time quality monitoring, and machine learning applications in manufacturing and healthcare. Ph.D., Industrial and Systems Engineering, Virginia Tech, 2019 M.S., Statistics, Virginia Tech, 2017 B.S., Mathematics (Statistics track), Zhejiang University, China, 2014 B.S., Environmental and Resource Sciences, Zhejiang University, China, 2014 Research Interests: Dr. Liu develops advanced sensing and data analytics methodologies for smart manufacturing, statistical frameworks for real-time quality control, and mathematical models integrating machine learning with healthcare applications. Their work bridges industrial engineering principles with cutting-edge data science techniques. Publication Trends: Recent articles demonstrate expertise in diabetic retinopathy prediction via interpretable AI, supply chain coordination mechanisms, EHR analytics for disease progression modeling, and combinatorial optimization algorithms. Key themes include healthcare data science, resilient manufacturing systems, and stochastic resource allocation. Scientific Recognition: Featured Article in ISE Magazine, IISE, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Best Poster Award, INFORMS Annual Meeting, 2018 Best Student Paper Finalist, IISE Annual Conference, 2018 Best Paper Awards at INFORMS (2017) and IISE (2017)

George Chalhoubمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy and Data Protection
• Human-Computer Interaction
• +۱۲ مورد دیگر

Dr. George Chalhoub is a Lecturer (Assistant Professor) in Human-Computer Interaction at the UCL Interaction Centre (UCLIC), Department of Computer Science, University College London (UCL). He is also an Associate Member at the Department of Computer Science, University of Oxford, and a 2024–2025 Berkman Klein Fellow at the Berkman Klein Center for Internet & Society, Harvard Law School, Harvard University. His multidisciplinary research bridges cybersecurity, privacy, and human-centered computing, focusing on real-world technology use. DPhil in Cyber Security, University of Oxford (supported by Information Commissioner’s Office) MSc in Computer Science, University of Southampton (supported by Lloyd’s Register) BS in Computer Science, Lebanese American University His research centers on the security, privacy, and safety of digital technologies through a user-centered lens. Key areas include AI-powered systems (e.g., LLMs, smart assistants), emerging technologies in the wild (e.g., smart homes, IoT), embedded devices (e.g., routers), marginalized communities, data workers in AI, and online content creators. His work integrates UX principles to improve data protection in healthcare (e.g., NHS records) and children’s apps, with implications for GDPR compliance and responsible AI innovation. The analysis of his recent publications reveals a consistent focus on empirical studies of user experience in security and privacy, particularly in smart homes and data-intensive applications. His work spans design interventions, ethical frameworks, and policy-relevant findings, published in top venues like CHI, CSCW, SOUPS, and IJHCS. Themes include consent design, communal privacy, vulnerability patching, and developer support for privacy. UK Global Talent Visa recipient, UK Research and Innovation 2024–2025 Berkman Klein Fellow, Harvard University Dr. Chalhoub has advised on research projects related to secure networking by design and responsible AI (e.g., EWADA, RoboTIPS). He has received grant support from the Information Commissioner’s Office for his doctoral work. He is available for consultancy, collaborative research, grant assessment, and supervision of research degrees. His professional experience includes internships at Microsoft Research (Calc Intelligence) and Nokia Bell Labs (Social Dynamics), contributing to projects in AI and social computing. He is affiliated with research groups including the Human-Centered Computing group at Oxford, the UCL Interaction Centre (UCLIC), and the Berkman Klein Center at Harvard. His work is supported by tools and frameworks developed in collaboration with interdisciplinary teams focused on cybersecurity ethics, data governance, and platform accountability.

Mauricio Villarroelمشاهده پروفایل

دانشیار

• Digital Health
• Non-contact Physiological Monitoring
• AI in Medicine
• +۷ مورد دیگر

Professor Mauricio Villarroel is an Associate Professor of Biomedical Engineering at the University of Oxford's Institute of Biomedical Engineering and a Fellow of Magdalen College. He leads the Laboratory for Computational Medicine and Technology (LCMT), which focuses on improving clinical decision-making through digital health innovations for both high-income and low- or middle-income countries. Villarroel was born in Bolivia where he completed his undergraduate engineering degree before obtaining his doctoral degree in Engineering Science from the University of Oxford. He previously worked as a research scientist at the Health Sciences and Technology department at MIT and Harvard University, collaborating with multidisciplinary teams from academia, hospitals, and industry to develop advanced monitoring algorithms for intensive care. He returned to Oxford as a post-doctoral research assistant in Data Fusion & Telehealth and later served as a Senior Researcher in Next Generation of Digital Health. His research focuses on developing non-contact video-based physiological monitoring technologies to create personalized biomarkers of health. He has founded the spinout company OxeHealth based on his early work. Currently, his laboratory develops AI models to identify meaningful physiological changes using multimodal sensing technologies including video cameras, wearable devices, wireless technologies, smartphones, and body-worn sensors. His primary research areas include cardiovascular disease and neurodegenerative diseases, spanning from early detection of chronic conditions to in-hospital monitoring and remote management in community settings. He is also the first academic appointment of The Podium Institute for Sports Medicine and Technology, where he develops technologies to monitor factors leading to sports injuries in young athletes aged 11-18 years. Analysis of his recent publications reveals a strong focus on non-contact physiological monitoring, particularly using photoplethysmography and video-based technologies. His work spans cardiovascular monitoring (blood pressure estimation, circadian rhythms), neurological applications (movement disorders), respiratory monitoring (particularly in infants), and sports medicine (athlete screening). A consistent theme across his research is the development of AI-driven, multimodal approaches to extract meaningful clinical information from non-invasive or contactless monitoring systems. Villarroel has received significant recognition for his work, with multiple publications referenced in patents and clinical guidelines. His research has been picked up by news outlets and widely shared on social media platforms, indicating substantial impact in both academic and practical domains. His work on non-contact monitoring has particularly gained attention for its potential applications in resource-limited settings. As a research leader, Villarroel collaborates extensively with clinicians, engineers, and industry partners. His laboratory offers DPhil opportunities at the intersection of medicine, engineering, and technology. His research has led to practical applications including technologies for monitoring post-operative patients, detecting apnea in infants, and screening athletes for cardiac conditions that could lead to sudden death. The Laboratory for Computational Medicine and Technology maintains strong connections with Oxford's Medical Sciences campus, adjacent to the Churchill Hospital, facilitating direct translation of engineering innovations into clinical practice. The lab's work bridges multiple domains including computer vision, signal processing, AI, and clinical medicine to address significant healthcare challenges.