جست‌وجوی استاد و پژوهشگر

• Causal inference
• Machine learning
• Cluster randomized trials
• +۷ مورد دیگر

Laura Balzer, PhD, MPhil is an Associate Professor of Biostatistics at the University of California, Berkeley . Her research focuses on methodological and applied work in causal inference , machine learning , and messy real-world data , particularly in the context of HIV prevention and global health in East Africa. PhD – Biostatistics, University of California, Berkeley (2015) MPhil – Computational Biology, University of Cambridge (2009) BS – Applied Mathematics, University of Vermont (2008) Dr. Balzer specializes in the design and analysis of cluster randomized and pragmatic trials , addressing challenges like differential measurement , complex dependence , and missing data . Her work integrates epidemiologic methods with machine learning to enhance rigor in real-world studies. Recent publications emphasize community-based HIV interventions , dynamic choice models , and causal inference frameworks for global health applications in Kenya and Uganda. Her methodological contributions include Two-Stage TMLE for handling sub-sampling and non-independent units , while applied studies examine HIV-tuberculosis interactions , hypertension care models , and social network effects on health outcomes. Dr. Balzer’s role as a Primary Statistician for East African studies underscores her commitment to translating academic advances into public health impact .

Heather O'Brienمشاهده پروفایل

استاد

• User Engagement
• Human-Computer Interaction
• Information Retrieval
• +۴ مورد دیگر

Heather O'Brien is a Professor at the School of Information , University of British Columbia, specializing in user engagement with digital technologies , information retrieval , and knowledge exchange . Her work bridges human-computer interaction and health informatics through projects like the User Engagement Scale (UES) and the PolarUs app for bipolar disorder management. Education: MLIS and PhD from Dalhousie University Research: Focuses on engagement theory, digital health, and university-community knowledge exchange Her STOREE project (SSHRC-funded) develops frameworks for open scholarship and community-centered metadata practices. She co-developed the internationally adopted UES tool for measuring technology engagement, translated into French, German, Italian, and Portuguese . Scientific Awards: 2022 ASIS&T Research in Information Science Award 2018 ASIS&T SIG USE Best Paper Award Professor O'Brien mentors graduate students in information behavior and digital health while leading interdisciplinary collaborations with institutions like CREST.BD and BC Centre on Substance Use .

Lyndia Wuمشاهده پروفایل

استادیار

• Biomechanical engineering
• Biomedical instrumentation
• Biomedical signal processing
• +۱۱ مورد دیگر

Lyndia Wu is an Assistant Professor in the Department of Mechanical Engineering at the University of British Columbia's Faculty of Applied Science, where she holds the prestigious Canada Research Chair in Wearable Brain Injury Sensing. She leads the SimPL (Sensing in Biomechanical Processes Lab) and maintains an active research program focused on biomechanics and medical device development. Her educational background includes: B.A.Sc. from the University of Toronto M.S. from Stanford University Ph.D. from Stanford University Postdoctoral Fellowship from Stanford University Dr. Wu's research program centers on developing novel sensing and data analytics technologies to study human biomechanics in health and disease states. Her primary research areas encompass brain injury or concussion biomechanics using advanced sensing, modeling, and machine learning approaches, as well as the development of innovative sensors and algorithms for studying sleep disorders like obstructive sleep apnea. She specializes in wearable sensors for brain health monitoring, traumatic brain injury mechanisms, and AI applications in healthcare settings. Analysis of her recent publications reveals a strong focus on sports-related head impacts (particularly in soccer), EEG monitoring following impacts, and sleep monitoring after concussions. Her work demonstrates interdisciplinary collaboration across biomechanical engineering, neuroscience, and clinical medicine, with publications spanning biomechanics, neurotrauma, biomedical instrumentation, and signal processing domains. Dr. Wu has received significant recognition for her work, including: Scholar Award from the Michael Smith Foundation for Health Research (2019) Junior Faculty Teaching Award from UBC Mechanical Engineering (2022) She actively supervises graduate students in Mechanical Engineering programs (MASc and PhD) and collaborates extensively across disciplines. Dr. Wu is affiliated with multiple research centers including the Institute for Computing, Information and Cognitive Systems (ICICS), Origins of Balance Deficits and Falls, and SmarT Innovations for Technology Connected Health (STITCH), reflecting her interdisciplinary approach to solving complex biomedical challenges. As director of the SimPL lab, she leads a research team developing cutting-edge sensing solutions for biomechanical processes with particular emphasis on brain injury prevention, monitoring, and recovery assessment through innovative engineering approaches.

• Visual Neuroscience
• Eye Movement Disorders
• Nystagmus Research
• +۶ مورد دیگر

Professor Jonathan Erichsen serves as Professor of Visual Neuroscience and Deputy Head of School within the School of Optometry and Vision Sciences at Cardiff University. With a distinguished career spanning several decades, he has established himself as a leading researcher in visual neuroscience and eye movement disorders. Professor Erichsen's research has evolved from early work on central near response pathways in the brain, including vergence and the pupillary light reflex, to a broader focus on eye movement disorders. His primary research interests include the control of visuomotor behavior, eye movement abnormalities in neurodegenerative conditions, and visual function assessment in individuals with nystagmus. He has pioneered innovative methodologies including stereotaxic surgery, immunohistochemistry, neural pathway tracing, and microstimulation in his investigations. His recent publications demonstrate a clear trend toward clinical applications of eye movement research, particularly in developing better assessment tools for visual function in nystagmus patients. The research spans from fundamental neuroanatomy to practical clinical tools, with significant contributions to understanding infantile nystagmus, Huntington's disease-related eye movement abnormalities, and visual function in children. His work increasingly integrates advanced eye tracking technologies with clinical applications. Professor Erichsen founded the Cardiff Research Unit for Nystagmus (RUN) approximately twenty years ago, establishing a large cohort of volunteers with infantile nystagmus to study how environmental factors like stress affect visual performance. More recently, he established the Eye Movement Experimental Research Group (EMERG) to expand research into eye movement abnormalities associated with neurodegenerative conditions including Huntington's disease, schizophrenia risk, and dystonia. His research has demonstrated that traditional measures of visual performance, such as visual acuity, are not significantly affected by changes in eye movements of individuals with nystagmus, suggesting the need for developing better outcome measures in clinical practice. Professor Erichsen remains actively involved in postgraduate supervision and continues to produce high-impact research in visual neuroscience.

James Floryمشاهده پروفایل

پزشک-پژوهشگر

• Endocrinology
• Diabetes
• Cancer Metabolism
• +۳ مورد دیگر

James Flory, MD, is a physician scientist at Memorial Sloan Kettering Cancer Center, where he specializes in endocrinology with a focus on diabetes management in cancer patients. He holds an MD from the University of Pennsylvania and completed residencies and fellowships at NewYork-Presbyterian Hospital/Weill Cornell Medical Center and Memorial Sloan Kettering. His research explores the safety and effectiveness of diabetes medications, particularly in oncology contexts. His work includes clinical studies on metformin's role in diabetes care, methodological tutorials on instrumental variable analysis in pharmacoepidemiology, and investigations into sulfonylureas' cardiovascular effects. Recent studies examine environmental factors like temperature impacts on antidiabetes drug outcomes. While not explicitly stated, his collaborations with oncologists like Serena Wong highlight his commitment to integrated care for patients with cancer-related metabolic complications.

• Software Technology
• Artificial Intelligence
• Educational Software
• +۵ مورد دیگر

Maria Virvou serves as Professor and Chair of the Department of Informatics at the University of Piraeus, where she also directs the Graduate Program in Informatics and leads the Research Laboratory 'Software Technology'. She holds significant institutional leadership roles including membership in the University Senate and has chaired the Department of Informatics for multiple terms. As Editor-in-Chief of Springer book series 'Learning and Analytics in Intelligent Systems' and 'Artificial Intelligence-Enhanced Software and Systems Engineering', she maintains substantial academic influence across international scholarly platforms. Dr. Virvou earned her PhD in Computer Science and Artificial Intelligence from the University of Sussex with a scholarship from the State Scholarships Foundation, a Master of Science in Computer Science from University College London, and her undergraduate degree from the Department of Mathematics at the National and Kapodistrian University of Athens. Her educational background in both mathematics and computer science has provided a strong foundation for her interdisciplinary research approach. Professor Virvou's research spans Software Technology, Artificial Intelligence, Educational Software and Games, User Modeling, and Human-Computer Interaction. She has pioneered work in personalized interactive software systems, applying fuzzy logic and machine learning techniques to create adaptive educational environments. Her recent work demonstrates a strategic expansion into AI applications for healthcare, with significant contributions to medical diagnostics using large language models and multimodal AI systems. She has also made notable advances in smart tourism applications through personalization techniques. With over 400 publications to her name, Professor Virvou's scholarly output shows a clear progression from foundational work in user modeling toward increasingly sophisticated AI applications across multiple domains. Her publication trends reveal a strategic focus on explainable AI, multimodal systems, and practical implementations that bridge theoretical advances with real-world applications, particularly in healthcare and education sectors. Ranked #1 worldwide in 'User Modelling' publications (147,450 total publications) according to Scopus Ranked #1 worldwide in 'Educational Software' publications according to both Scopus and Microsoft Academic Search Recognized among the top 2% of most influential Artificial Intelligence scientists worldwide by Stanford University General Co-Chair at the 14th IISA Conference 2023 Invited Keynote Speaker at the 35th IEEE International Conference on Software Engineering Education and Training (CSEE&T 2023) As Director of the Research Laboratory 'Software Technology', Professor Virvou has built a robust research team focused on AI applications across multiple domains. She co-founded and co-chairs the IEEE Intelligent Information Systems and Applications international conference series, creating a significant platform for scholarly exchange. Her leadership extends to editorial roles with major academic publishers and active participation in international research collaborations that have secured substantial funding for innovative projects in AI and software engineering.

• Medical Biometry
• Epidemiology
• Cognitive Dysfunction
• +۴ مورد دیگر

Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .

• Biomechanics
• Human Movement Science
• Gait Analysis
• +۱۰ مورد دیگر

Friedl De Groote is a Senior Lecturer at KU Leuven's Faculty of Human Movement and Rehabilitation Sciences, Department of Human Movement Sciences, specializing in the biomechanics of human movement. She leads the Biomechanics of Human Movement Research Group and is a member of the iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health. Her research focuses on understanding neuromusculoskeletal control of human movement, particularly through computational modeling approaches. She investigates gait disorders in children with cerebral palsy and Duchenne muscular dystrophy, examining how muscle impairments, contractures, and neural control mechanisms contribute to altered movement patterns. Her work combines experimental biomechanics with predictive computer simulations to uncover the underlying mechanisms of movement disorders and develop new rehabilitation approaches. She also studies fundamental aspects of human locomotion, balance control, and energy expenditure during walking. Her recent publications demonstrate a strong emphasis on predictive simulations to understand the relationship between neuromusculoskeletal impairments and movement pathology. Her research spans multiple domains including cerebral palsy, Duchenne muscular dystrophy, gait analysis, balance control, and musculoskeletal modeling. She frequently collaborates with clinical researchers to bridge the gap between computational models and clinical applications. Dr. De Groote is actively involved in various academic councils including the Faculty Council FaBeR, POC Rehabilitation Sciences and Physiotherapy, POC Physical Education and Movement Sciences, and multiple departmental councils within Human Movement Sciences. Her ORCID identifier is 0000-0002-4255-8673 . She currently leads or co-leads numerous research projects funded through KU Leuven and external grants, with a focus on understanding walking control mechanisms, energy expenditure during locomotion, and developing computational models to inform rehabilitation strategies for children with movement disorders. Her research portfolio demonstrates a commitment to translating biomechanical insights into clinically relevant applications.

Mathias Basnerمشاهده پروفایل

استاد

• Sleep Deprivation
• Environmental Noise Effects
• Astronaut Behavioral Health
• +۴ مورد دیگر

Dr. Mathias Basner is a Professor of Psychiatry at the University of Pennsylvania Perelman School of Medicine , where he directs both the Behavioral Regulation & Health Section and the Unit for Experimental Psychiatry within the Division of Sleep and Chronobiology . With dual appointments in Psychiatry and Sleep Medicine, his research bridges aerospace, urban, and clinical environments to study neurobehavioral consequences of sleep loss and noise exposure. Education: MD (1999), PhD in Research (2001) from University of Bochum; MSc in Epidemiology (2006) from University of Bielefeld Key Research Areas: Sleep deprivation effects, environmental noise impacts, astronaut behavioral health, and cognitive performance assessment Research Trends: Using field studies, space analog environments, and large datasets like the American Time Use Survey, Dr. Basner examines sleep-wake cycles, noise-induced stress responses, and cognitive adaptation in extreme environments. His work informs WHO guidelines, FAA policies, and NASA's Mars mission planning. Scientific Recognition: International Space Station Innovation Award (2018) Journal Publication Award for Outstanding Space Medicine Article (2016) Consultant for WHO, ICAO, and FAA noise/sleep guidelines Professional Contributions: Senior Associate Editor for Sleep Health and Frontiers in Physiology , developer of the PVT-B and Cognition test battery for NASA, and principal investigator in major studies including the TWINS study and Inspiration 4 mission.

Erica C Jansenمشاهده پروفایل

استادیار

• Sleep
• Nutrition
• Dietary Patterns
• +۵ مورد دیگر

Dr. Erica C Jansen serves as Assistant Professor in the Department of Nutritional Sciences at the University of Michigan School of Public Health and holds a secondary appointment as Research Assistant Professor in Neurology. Her work bridges nutritional epidemiology and sleep science, focusing on lifespan health impacts with specialized attention to adolescent and women's health outcomes. Her educational foundation includes: PhD in Epidemiology, University of Michigan School of Public Health (2016) MPH in Epidemiology, University of Michigan School of Public Health (2014) BS in Biology, Hope College (2012) Dr. Jansen's research program centers on bidirectional sleep-nutrition interactions and their cardiometabolic consequences. Key pillars include: Early-life nutritional environments and puberty timing Objective sleep metrics (duration, timing, quality) and cardiometabolic risk Epigenetic mechanisms in sleep-diet-health pathways Toxicant exposures through dietary sources Life-stage specific analyses (adolescence, pregnancy, midlife) She primarily leverages the ELEMENT cohort—a 25+ year Mexican birth cohort—and complementary datasets like NHANES and BioCycle. Analysis of her 2021-2025 publications reveals consistent methodological approaches: Integration of actigraphy for objective sleep measurement Dietary pattern analysis over single-nutrient approaches Epigenome-wide assessments of circadian genes Focus on health disparities through socioeconomic and environmental lenses Strong emphasis on Mexican and US minority populations Her work increasingly incorporates machine learning for sleep data analysis and examines policy-relevant questions like food expenditure patterns. Current funding includes: NHLBI K01 grant (K01HL151673) examining sleep-cardiometabolic links in adolescents Gilmore Grant and MNORC Pilot funding for circadian gene methylation studies in pregnancy and midlife Dr. Jansen actively mentors through: NUTR703: Guiding MS students in thesis development and scientific communication PUBHLTH417: Teaching undergraduates to investigate sleep-nutrition interplay through hands-on research Her collaborative network spans Michigan Medicine, environmental health scientists, and international cohorts studying developmental origins of health. Her research team operates within the ELEMENT study infrastructure and partners with clinical departments to translate findings into public health interventions targeting sleep hygiene and dietary patterns for cardiometabolic risk reduction.

Kirsten Jungمشاهده پروفایل

استاد

• Bacterial Signal Transduction
• Stress Response Mechanisms
• Membrane Protein Structure-Function Analysis
• +۳ مورد دیگر

Prof. Dr. Kirsten Jung is a faculty member at the Department of Microbiology , Faculty of Biology , Ludwig Maximilian University of Munich . Her research focuses on bacterial signal transduction, stress response mechanisms, and systems biology approaches to understand microbial regulatory networks. Key research areas include stress-dependent gene expression in bacterial populations Structural and functional analysis of membrane-integrated receptors Metabolism-based chemical communication in bacteria Integration of experimental and computational systems biology Recent publications highlight her lab's work on Escherichia coli epitranscriptomic modifications under heat stress, m 5 C rRNA dynamics, and the role of RNA methylation in host-pathogen interactions. Collaborative studies address bacterial acid stress responses and their implications for antibiotic tolerance. Her interdisciplinary work bridges microbiology with ecological studies, as evidenced by research on biodiversity conservation in forest and urban ecosystems. Publications also demonstrate expertise in advanced imaging techniques (e.g., arterial spin labeling for glioma analysis) and bioinformatics approaches. Current advisees include Gloria Gessinger and Tania P. Gonzalez-Terrazas . She can be contacted at jung@lmu.de .

Daria Tsoupikovaمشاهده پروفایل

استاد

• Virtual Reality Design
• Digital Media
• Interactive Art
• +۶ مورد دیگر

Daria Tsoupikova is a Professor of Digital Media Design at the University of Illinois Chicago's School of Design. She serves as Co-Founder and Design Chair of the bachelor's in computer science and design program and is affiliate faculty in the UIC Electronic Visualization Laboratory (EVL). Her work bridges artistic expression and technological innovation, focusing on virtual reality and interactive media applications across multiple domains. Her educational background includes: MFA in Computer Art from Syracuse University BFA in Graphic Design from Moscow State Academy Positioned at the crossroads of artistic and technological innovation, Tsoupikova's research explores the potential of new media and interactivity in relation to traditional arts. Through development of virtual reality art projects and networked multiuser exhibitions for VR projection systems like the CAVE and CAVE2, her work applies computer graphics to diverse research domains including educational multimedia, cultural heritage, and virtual rehabilitation for stroke survivors. Her approach integrates theater methodologies, design principles, and coding to create immersive experiences that address global challenges while preserving cultural heritage. Analysis of her publication history reveals an evolving trajectory from foundational VR art installations toward increasingly sophisticated therapeutic applications. Her recent work demonstrates a strong focus on the intersection of art, healthcare, and virtual reality, with particular emphasis on collaborative multiuser environments that transform traditional storytelling and therapeutic practices. The progression shows movement from artistic exploration to clinically validated therapeutic interventions with measurable patient outcomes. Her notable awards include: Session's Best Paper at IMCIC 2019 and QRMS/IMCIC 2016 Fulbright Scholar Award (2011) and Intercountry Lecturing Award Communication Arts Award of Excellence and Creative Quarterly Excellence Award National Endowment for the Arts grant and Presidential Award from University of Illinois Tsoupikova has secured significant research funding from the National Science Foundation, National Institute on Disability and Rehabilitation Research (NIDILRR), and the Department of Education for projects including MARS2 (2007-2012) and MARS3 (2012-2018). She has developed innovative courses including Mobile App Design where students collaborate with professional partners such as Caterpillar, UIC medical departments, and clinics. Her work with stroke survivors at the Shirley Ryan AbilityLab has demonstrated improvements in patients' daily lives, regained trust in their hands, and increased therapy motivation. She is deeply involved with the UIC Electronic Visualization Laboratory, collaborating on advanced visualization projects including IBM partnerships exploring sustainable development goals through VR. Her leadership in establishing the computer science + design undergraduate program positions UIC as the only public university in the United States offering such a specialized degree, reflecting her commitment to interdisciplinary education at the technology-art intersection.

Albert Koulmanمشاهده پروفایل

پژوهشگر

• Metabolomics
• Lipidomics
• Analytical Chemistry
• +۴ مورد دیگر

Dr. Albert Koulman is a Principal Research Associate at the University of Cambridge, affiliated with the Metabolic Research Laboratories (MRL) within the Institute of Metabolic Science. His work focuses on developing advanced analytical methods for metabolomics and lipidomics to understand metabolic processes in diseases. Department: Department of Clinical Biochemistry, University of Cambridge Key Roles: Scientific Director of the NIHR BRC Metabolomics and Lipidomics facility Research Interests 1. Metabolism in Pregnancy & Early Life: Collaborates with international teams to study lipid metabolism during pregnancy and infancy, developing biomarkers for gestational diabetes, infant nutrition, and childhood obesity risks. 2. Technological Innovations: Leads development of single-cell lipidomics and organelle-specific lipid profiling, establishing a full pipeline from sample preparation to bioinformatics. 3. Nutritional Biomarker Methodology: Specializes in dried blood spot applications for lipid analysis in clinical and population studies, supported by the MRC Epidemiology Unit. Article Trends Recent publications highlight his expertise in lipid metabolism across diseases (e.g., diabetes, melanoma, NAFLD). Key themes include sexual dimorphism in lipid biosynthesis, vitamin D dynamics during exercise, stromal lipid influences on cancer progression, and malnutrition recovery protocols. Methodological advancements (LC-MS/MS, single-cell analysis) and global health applications (Gambian maternal nutrition, pediatric rehabilitation) are recurring topics. Group Members & Collaborations Dr. Ben Jenkins (Analytical Chemist) Ms. Paulina Guevara Dominguez (Research Assistant) Ms. Nina van der Velde (MPhil Student) Collaborators: Sue Ozanne (Pregnancy Metabolism), MJFF (Parkinson’s research), MRC (Epidemiology Unit) Research Funding Biotechnology and Biological Sciences Research Council (BBSRC) JPI (Joint Programming Initiative) Michael J. Fox Foundation (MJFF) Medical Research Council (MRC) National Institute for Health and Care Research (NIHR)

• Mathematical Statistics
• Applied Statistics
• Probability Theory
• +۶ مورد دیگر

Holger Dette is a Professor and Chair Holder of Stochastics (specializing in Statistics) at the Faculty of Mathematics, Ruhr University Bochum. He leads the prominent Group Dette within the Institute of Statistics, overseeing a team of researchers, doctoral students, and administrative staff including Birgit Tormöhlen as team assistant. His research group is deeply integrated within the university's mathematical ecosystem, collaborating with other research groups across algebra, analysis, numerics, and topology. Dette's research spans mathematical statistics with strong applications in real-world problems. His primary interests include optimal experimental design, time series analysis, functional data, change point problems, nonparametric regression, biostatistics, special functions, goodness-of-fit tests, and random matrices . His work bridges theoretical statistics with practical applications, particularly evident in his collaborations with pharmaceutical giants Novartis and Bayer AG in biostatistics, as well as Quasol, a spin-off company from his statistics institute. His recent publications (2024-2025) reveal a research program increasingly focused on high-dimensional and functional data analysis, privacy-preserving statistics, and novel methodological approaches to longstanding statistical problems. Dette's work shows strong interdisciplinary connections, particularly with biomechanics (analyzing joint angles during fatigue phases) and data science (addressing challenges in the era of big data). His research group is actively involved in multiple DFG-funded projects including the newly established 'Small Data' collaborative research center (Sonderforschungsbereich 1597) and the Spatio-temporal Statistics for the Transition of Energy and Transport (Transregio 391). Dette has received significant recognition including the prestigious Humboldt Research Award . His paper 'With Great Power Come Great Side Channels: Statistical Timing Side-Channel Analyses with Bounded Type-1 Errors' achieved second place at the CSAW'24 Applied Research Competition MENA. His research group has also secured multiple significant funding awards from the German Research Foundation (DFG). As an advisor, Dette supervises numerous doctoral and master's students including Pascal Quanz, Marius Kroll, and Carina Graw. His group offers statistical consulting services for scientists and students across bachelor's, master's, and doctoral phases. The group maintains strong industrial partnerships, particularly in biostatistics applications, demonstrating Dette's commitment to translating theoretical statistics into practical solutions for real-world challenges.

Dimitra Dritsaمشاهده پروفایل

پژوهشگر

• Urban Health
• Human-Computer Interaction
• Remote Patient Monitoring
• +۴ مورد دیگر

Dimitra Dritsa is a Postdoctoral Researcher in the Department of Industrial Design at Eindhoven University of Technology (TU/e), specializing in human-computer interaction applied to urban health, physiological data analysis, and remote patient monitoring systems. Her work bridges design research with healthcare innovation, particularly in cancer surgery prehabilitation and wellbeing technologies. Her academic foundation includes a Master's degree from Delft University of Technology and a PhD from the University of Technology Sydney, where her dissertation focused on Spatiotemporal dynamics of urban health: Physiological data driven strategies for enhancing urban health and wellbeing . Dr. Dritsa's research centers on leveraging physiological data and AI to improve urban health outcomes and clinical interventions. She investigates user-centered design for telemonitoring systems, uncertainty-aware data visualization in design processes, and experience sampling methods for office wellbeing. Her work emphasizes contextual data integration and ethical AI applications in healthcare settings. Recent publications (2023-2025) reveal a clear trajectory toward human-AI collaboration in health contexts, with significant contributions to remote patient monitoring frameworks and data-driven design methodologies. Key themes include physiological response tracking in urban environments, AI-guided wellbeing interventions, and multidimensional data exploration tools for design researchers. She actively contributes to the STRAP project ( Self Tracking for Prevention and diagnosis of heart disease , 2020-2025) as a core project member, focusing on big data solutions and AI-driven healthcare innovations. Her supervisory role includes guidance for two students as indicated in institutional records, and she teaches the course Making sense of sensors since 2016.