جست‌وجوی استاد و پژوهشگر

Dominique Maciejewskiمشاهده پروفایل

استادیار

• Emotion Regulation
• Developmental Psychology
• Experience Sampling Methods
• +۷ مورد دیگر

Dr. Dominique Maciejewski is an Assistant Professor in the Department of Developmental Psychology at Tilburg School of Social and Behavioral Sciences, Tilburg University, where she joined in May 2023. Her research focuses on emotion (regulation) dynamics in mental health among young people, using Experience Sampling Methods (ESM) to capture emotional processes in daily life. Her academic journey includes a PhD in developmental psychopathology from VU University Amsterdam (2014-2016), followed by postdoctoral positions at Virginia Tech (2016) and Amsterdam UMC/Erasmus MC (2017-2019) where she coordinated the large-scale Mood And Resilience In Offspring (MARIO) project. She served as Assistant Professor at Radboud University (2019-2023) before moving to Tilburg. Dr. Maciejewski's research expertise spans emotion regulation, adolescent mental health, and methodological innovations in ESM. She co-leads the international 'Measurement is the New Black' consortium and received an NWO XS grant to study response processes in ESM studies. Her work examines how emotion dynamics relate to mental health outcomes and the effectiveness of just-in-time adaptive interventions. Her recent publications reveal a strong focus on emotion regulation variability, with innovative methodological approaches like the Bray-Curtis dissimilarity index. Her research combines theoretical depth with practical applications for understanding adolescent emotional development and mental health. Scientific Awards: NWO XS grant on response processes in ESM studies (2022) Award for best master thesis of the faculty of psychology and education (2015) VU Fellowship Program for excellent students (2012) Dr. Maciejewski actively supervises students at all levels and teaches Developmental Psychology at Tilburg University. She leads several research projects including the Track Your Mood Project and Flits Study, which examine emotion regulation dynamics in daily life through intensive longitudinal methods. She is particularly interested in understanding when emotional variability is adaptive and how emotion regulation flexibility contributes to mental health outcomes in young people.

Conrado da Costaمشاهده پروفایل

استادیار

• Probability Theory
• Random Walks
• Scaling Limits
• +۵ مورد دیگر

Conrado da Costa is an Assistant Professor (Research) in Probability at Durham University's Department of Mathematical Sciences. His academic profile centers on advanced research in probability theory, with particular expertise in Non-Homogeneous Random Walks and Scaling Limits of Interacting Particle Systems. His research portfolio spans several interconnected domains: Diffusion on Networks and Infinite graphs Fluid limits and hydrodynamic limits Random walks in random environments Law of Large Numbers and long-term behaviors Local convergence of random graphs Professor da Costa employs a sophisticated mathematical toolkit including scaling limits, generators, semigroups, martingale problems, concentration inequalities, and coupling methods. His research methodology bridges theoretical probability with applications in statistical mechanics and mathematical physics, revealing how microscopic stochastic processes give rise to macroscopic deterministic behavior. His publication record shows consistent development from foundational work on reaction-diffusion models (2019) to more recent investigations of random walks in cooling random environments and stochastic billiards (2022-2023). His work demonstrates increasing sophistication in handling complex correlation structures and boundary effects in stochastic systems. Professor da Costa has secured research funding for projects including 'Anomalous diffusion via self-interaction and reflection' and actively supervises undergraduate and graduate students through annual project offerings since 2019. His research collaborations extend to institutions including Leiden University, IMPA, and the University of Manchester, reflecting his growing international recognition in the probability community.

Pierre-Antoine Thouveninمشاهده پروفایل

استادیار

• Signal Processing
• Inverse Problems
• Hyperspectral Image Unmixing
• +۵ مورد دیگر

Pierre-Antoine Thouvenin is an Assistant Professor at Centrale Lille, a prestigious engineering school within the University of Lille community in France. He is a member of the SigMA team from the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille), where he conducts research on inverse problems with applications to remote sensing and astronomy. His academic journey began with an Engineering degree in Electronics and Signal Processing from INP - ENSEEIHT Toulouse in 2014, followed by a Master of Science in "Signal, Image, Acoustics" from the same institution. He completed his Ph.D. in "Signal, Image, Acoustics" from Institut National Polytechnique de Toulouse between 2014 and 2017, with research focused on modeling spatial and temporal variabilities in hyperspectral image unmixing. Thouvenin's research interests span several interconnected areas in signal processing and computational imaging. His primary focus is on solving inverse problems, particularly in the context of radio-interferometric imaging for astronomy and hyperspectral image unmixing for remote sensing applications. He has made significant contributions to developing advanced algorithms for handling spectral variability in hyperspectral data and for image reconstruction in radio astronomy. His work often combines Bayesian statistical methods with optimization techniques to address challenging high-dimensional problems. A distinctive aspect of his research is the development of distributed and parallel computational methods that enable processing of extremely large datasets that would be intractable with conventional approaches. An analysis of his recent publications reveals a strong trend toward developing distributed and parallel computational methods for large-scale inverse problems. His work increasingly integrates machine learning approaches, particularly neural networks, with traditional signal processing techniques. There's a clear progression from theoretical developments in hyperspectral unmixing to practical applications in astronomy, particularly through his involvement in the ORION-B project where he applies statistical methods to infer physical conditions in star-forming regions. His most recent work demonstrates sophisticated integration of spatial regularization techniques with Bayesian inference for astrophysical parameter estimation. Prix Léopold Escande from Institut National Polytechnique de Toulouse (2017) - awarded to the best PhD theses defended at INPT Prix de l'Institut National Polytechnique de Toulouse (2014) - awarded for outstanding academic achievement during engineering studies Thouvenin is actively involved in mentoring the next generation of researchers. He currently co-supervises the PhD thesis of Pierre Palud on "Statistical methods for model inversion and spatial distribution of physico-chemical properties of the molecular cloud Orion B" as part of the CNRS 80|Prime project OrionStat. His research is supported through various academic collaborations and projects, including the ORION-B project led by Jérôme Pety, which involves molecular line observations from the IRAM-30m Large Program. He has established productive international collaborations, particularly with researchers at Heriot-Watt University in Edinburgh where he worked as a Research Associate from 2017-2019. Thouvenin is a key member of the SigMA team within the CRIStAL laboratory, a joint research unit between Centrale Lille, INRIA, and University of Lille. His work often intersects with the ORION-B project, where he collaborates with astrophysicists to develop statistical methods for inferring properties of Galactic and extra-galactic star forming regions. This interdisciplinary environment fosters innovation at the intersection of signal processing, statistics, and astronomy. He has developed expertise in translating complex statistical methodologies into practical computational tools that address real-world challenges in both remote sensing and astronomical imaging.

• Hamiltonian Dynamical Systems
• Integrable Systems
• Classical Mechanics
• +۵ مورد دیگر

Holger R. Dullin is a Professor of Applied Mathematics at the University of Sydney's School of Mathematics and Statistics. His research spans multiple areas of dynamical systems theory with particular emphasis on Hamiltonian systems. He maintains an active research program with consistent publications in top mathematical physics journals and teaches advanced courses including Lagrangian and Hamiltonian Dynamics (MATH3977), Nonlinear ODEs (MATH3063), and Linear Algebra (MATH1902). Dullin's research focuses on Hamiltonian Dynamical Systems , with significant contributions to Integrable Systems (particularly topology, action-angle variables, and Hamiltonian/Quantum Monodromy), Classical Mechanics (N-body problems, rigid body dynamics), Bifurcation Theory (twistless bifurcations, Hamiltonian Hopf), and Fluid Dynamics (Euler equations). His work often bridges pure mathematics with physical applications, especially in celestial mechanics and biomechanics. He has developed novel approaches to understanding geometric phases, symplectic invariants, and the dynamics of Hamiltonian maps including billiards. Analysis of his recent publications reveals a consistent focus on monodromy phenomena across different physical systems, regularization techniques for singularities in dynamical systems, and stability analysis of fluid flows. His work shows increasing interdisciplinary connections between mathematical physics, quantum mechanics, and celestial mechanics, with several papers exploring the geometric structure of integrable systems and their quantum counterparts. The research demonstrates sophisticated mathematical techniques applied to concrete physical problems. Dullin maintains an active research group evidenced by numerous collaborations with mathematicians internationally. His work on the Kovalevskaya top, documented in his PhD thesis and subsequent publications, remains influential in the field of integrable systems. He has developed visualization techniques for complex dynamical systems, including Poincaré sections and energy surfaces in action space.

• Clinical Psychology
• Psychotherapy
• Group Psychotherapy
• +۷ مورد دیگر

Anne Bryde Christensen serves as Assistant Professor at the University of Copenhagen, holding a combined position between the Department of Psychology and the Center for Eating and feeding Disorders Research (CEDaR). Her academic profile demonstrates substantial contributions to clinical psychology research with particular expertise in psychotherapy mechanisms and outcomes. Her research program centers on group psychotherapy, therapeutic alliance dynamics, personalized treatment approaches, and therapist effects, with increasing focus on eating disorder interventions. Christensen's work bridges theoretical understanding with practical clinical applications, examining how factors like mentalization and emotion regulation influence treatment outcomes for patients with depression, anxiety, and personality disorders. Analysis of her recent publications reveals a methodologically rigorous research trajectory focused on improving psychotherapy assessment and delivery. Her work spans instrument validation (ODSIS, WSAS), development of core outcome sets for eating disorder trials, exploration of treatment readiness metrics, and examination of therapist-patient dynamics through discourse analysis. This research portfolio demonstrates consistent attention to both process and outcome variables in psychotherapy across multiple clinical populations. Christensen completed her PhD in Psychiatry at the University of Copenhagen followed by postdoctoral work investigating group psychotherapy experiences for anxiety, depression, and borderline personality disorder. Her ongoing research maintains strong connections to Danish clinical practice while contributing to international discourse on evidence-based psychotherapy. Her position on the Psychology Study Board reflects her active role in academic governance and curriculum development within her department.

• Biomechanics
• Motor Control
• Nonlinear Dynamics in Movement Science
• +۳ مورد دیگر

Peter Christian Raffalt serves as an Associate Professor in the Department of Nutrition, Exercise and Sports at the University of Copenhagen, specializing in Movement and Neuroscience research. His work bridges biomechanics, motor control, and nonlinear dynamics with significant contributions to understanding human movement variability. His primary research focuses on biomechanics and motor control , particularly in gait analysis, postural stability, and entropy applications in physiological signals. Raffalt's work examines nonlinear dynamics in movement patterns across diverse populations including elite athletes, amputees, and individuals with neurological conditions. His methodological expertise in entropy analysis has established new standards for interpreting movement variability. Analysis of his recent publications reveals strong emphasis on nonlinear time-series analysis of movement data, particularly sample entropy applications in gait and postural control. His work demonstrates how visual cueing parameters affect stride variability structure and how inter-limb coupling functions in amputee populations. The research shows consistent methodological rigor with significant contributions to standardizing entropy calculations in biomechanics. Raffalt actively collaborates internationally with researchers from institutions including the University of Nebraska Omaha and University of Porto. His work appears in high-impact journals such as Annals of Biomedical Engineering (60+ citations for his entropy review) and Frontiers in Physiology .

Eva Marunovaمشاهده پروفایل

مدرس

• Equine biomechanics
• Rider biomechanics
• Equestrian coaching
• +۳ مورد دیگر

Eva Marunova serves as Lecturer in Veterinary Physiotherapy at Anglia Ruskin University (ARU), based at the Writtle School of Agriculture, Animal and Environmental Sciences within the Faculty of Science and Engineering. She joined ARU in 2024 after holding the same position at Writtle University College from 2022-2024, teaching animal biomechanics modules across equine and veterinary physiotherapy programs while supervising student research projects. Her industry experience as an accredited British Horse Society coach informs her practical approach to academia. Her educational qualifications include: PhD in Equine Biomechanics, The Royal Veterinary College PG Dip Equine Science, Hartpury University BSc (Hons) Economics, University of Portsmouth British Horse Society Assistant Instructor certification British Horse Society Stage 4 Dressage Coach accreditation Marunova's research centers on applied equine biomechanics with emphasis on quantifying movement asymmetries in lame horses using gait analysis technology. She investigates horse-rider interaction dynamics and aims to bridge veterinary research with practical equestrian applications, making scientific findings accessible to industry practitioners through her dual role as researcher and professional coach. Her work addresses critical gaps in objective lameness assessment. Analysis of her 2020-2023 publications reveals a consistent focus on clinical equine biomechanics, particularly smartphone-based motion analysis systems for field diagnostics. Key research threads include diagnostic anesthesia effects on movement symmetry, surface/direction impacts on lameness expression, and compensatory mechanisms during circular locomotion. Her work demonstrates increasing methodological sophistication, evolving from basic asymmetry measures to complex multi-variable analyses of lameness compensation. While actively supervising student research in veterinary physiotherapy, Marunova has not secured major independent grants as an early-career researcher but contributes to collaborative projects through co-authorship on significant biomechanics studies. Her industry connections facilitate real-world validation of research findings. As an Academic Member of the International Society for Equitation Science and Accredited Professional Coach with the British Horse Society, she maintains strong industry ties. She disseminates research through podcasts (Sports Horse Podcast 2024, River Tiger Podcast 2022), webinars (E-horse 2021), and professional talks at institutions including The Royal Veterinary College, ensuring practical translation of biomechanics research to equestrian practitioners.

Elizabeth Hooverمشاهده پروفایل

استاد بالینی

• Neurogenic Communication Disorders
• Swallowing Disorders
• Aphasia Rehabilitation
• +۵ مورد دیگر

Elizabeth Hoover is a Clinical Professor in the Department of Speech, Language & Hearing Sciences at Boston University, where she also serves as Clinical Director of the Aphasia Resource Center. Her clinical and research expertise centers on neurogenic communication disorders, with specialization in stroke, traumatic brain injury, and Parkinson's disease rehabilitation. Her educational foundation includes: BA from University of California, Los Angeles MS from California State University, Hayward PhD from Boston University School of Medicine Dr. Hoover's research program systematically advances aphasia rehabilitation through three interconnected pillars: (1) developing evidence-based implementation tools for global clinical adoption, (2) innovating conversation-based interventions for severe aphasia including telepractice delivery, and (3) pioneering psychosocial outcome measurement through qualitative identity-focused approaches. Her work consistently bridges laboratory research with real-world clinical application, particularly through the Rehabilitation Treatment Specification System framework. Her distinguished recognition includes: Fellow of the American Speech-Language-Hearing Association (2024) Tavistock Trust for Aphasia Distinguished Scholar Award (2024) Gerry Cormier Communicative Access Award (2021) As an educator, Dr. Hoover trains future clinicians through graduate courses in Motor Speech Disorders and Aphasia while supervising clinical practicum. Her lab operates as a dynamic nexus where clinical service, student training, and international research collaborations converge to advance evidence-based neurorehabilitation practices. Current projects focus on telepractice optimization, cross-cultural implementation barriers, and identity-centered rehabilitation models.

Vincent Guedjمشاهده پروفایل

استاد

• Complex Geometry
• Partial Differential Equations
• Geometric Analysis
• +۴ مورد دیگر

Vincent Guedj is a Professor at Paul Sabatier University (University of Toulouse) and Senior Member of the Institut Universitaire de France (IUF). His affiliations include directorship of the Toulouse Institute of Mathematics (2017-2020), leadership of the European Several Complex Variables Consortium, and editorial roles for prominent journals including Annales de l'Institut Fourier and Publicacions Matemàtiques . His research centers on complex geometry and geometric analysis, with emphasis on: Canonical Hermitian metrics (Kähler-Einstein, plurisigned) Degenerate complex Monge-Ampère equations Kähler-Ricci flows and parabolic pluripotential theory Variational methods in singular geometric settings This work bridges complex analysis, PDE theory, and differential geometry. His recent publications (2021-2025) demonstrate strong focus on: Regularity theory for Monge-Ampère equations on Hermitian manifolds Geometric flows with singularities Pluripotential techniques for Kähler-Einstein metrics Applications to affine and Hessian geometry Major scientific awards: Clay Senior Scholar (2024) Grand Prix Charles Defforey (2024) Prix Leconte, Académie des Sciences (2020) EMS Monograph Award (2016) He actively advises doctoral students (9 completed, 1 ongoing) and secures substantial funding, including: KRIS project (360k€, Fondation Defforey, 2024-2029) PARAPLUI (ANR 140k€, 2021-2025) HERMETIC (LabeX CIMI 20k€, 2021-2024) He directs research at Institut de Mathématiques de Toulouse, coordinating international collaborations and conferences like AMAZER (2021) and KAWA workshops.

Eleanor Scerriمشاهده پروفایل

استاد

• Archaeological science
• Human evolution
• Material culture
• +۹ مورد دیگر

Eleanor Scerri is a W2 Professor and Research Group Leader of the Human Palaeosystems Research Group at the Max Planck Institute of Geoanthropology in Jena, Germany. She is also a Reader at the Department of Prehistoric Archaeology at the University of Cologne and an Associate Professor in the Department of Classics and Archaeology at the University of Malta, her alma mater. Dr. Scerri obtained her PhD in Archaeology from the University of Southampton, jointly funded by the Royal Anthropological Institute and the Sutasoma Trust. Prior to her current position, she held prestigious fellowships including a Marie Skłodowska-Curie Actions Fellowship at the Max Planck Institute for the Science of Human History, a British Academy Fellowship at the University of Oxford with a Junior Research Fellowship at Jesus College, and a Fyssen Foundation funded postdoctoral fellowship at the University of Bordeaux. She received tenure in 2023 after winning a place on the Lise Meitner Excellence Programme with her 'Pan African Evolution Research Group'. Her research focuses on exploring the articulation between material culture, genetics, and biogeography to advance theoretical, methodological, and scientific understanding in human evolution and niche expansion. The Human Palaeosystems Group investigates deep time human-environment relationships to understand the dynamics of human bio-cultural evolution and ecosystem change, from the rise of our species until the beginning of agriculture. Her work centers on three key areas: the emergence and expansion of the human niche with its technological societal and ecological feedbacks, disease-culture co-evolution, and island colonization with ecosystem resilience and societal feedbacks. Her approach combines primary fieldwork with a range of modeling approaches using paleoecological and genetic data. Dr. Scerri's recent publications demonstrate a strong focus on human evolution in Africa and Southwest Asia, with particular attention to the Middle Stone Age, lithic technology, and human-environment interactions. Her work frequently addresses the complex population structure of early Homo sapiens in Africa and challenges simple out-of-Africa models, instead supporting structured metapopulation models of human origins. She has made significant contributions to understanding the role of tropical forests in human evolution and the dynamics of island colonization. Lise Meitner Excellence Programme (2023) Marie Skłodowska-Curie Actions Fellowship British Academy Fellowship Fyssen Foundation Postdoctoral Fellowship Dr. Scerri supervises undergraduate and postgraduate students at the University of Cologne, where she teaches undergraduate courses and supervises Masters projects. She leads several major research projects including the ERC StG funded IslandLab Project, which explores the transition from pristine natural systems to human dominated landscapes on Malta; the Disease-Culture Co-evolution project; and the Pan-African Evolution Project, which involves extensive fieldwork in West Africa investigating the deep human past in this region. The Human Palaeosystems Research Group conducts fieldwork programs across Africa and the Mediterranean, particularly in West Africa, Arabia, and Malta. The group's approach integrates archaeological, paleoenvironmental, and genetic data to test hypotheses about human evolution and the growth and impact of the human niche. Their work has significantly advanced understanding of human dispersals, population structure in Africa, and the complex evolutionary processes that shaped our species.

Klaus Felix Warnatzمشاهده پروفایل

استاد

• Immunology
• Primary Immunodeficiencies
• Rheumatology
• +۲ مورد دیگر

Professor Klaus Felix Warnatz is a distinguished Senior Physician in the Department of Immunology at the University of Zurich's Faculty of Medicine. With a medical doctorate and professorship, he specializes in immunology and rheumatology, holding significant leadership roles in major immunological societies across Europe. Specialist in internal medicine and rheumatology Active member of European Society for Immunodeficiencies Member of German Society for Rheumatology Member of German Society for Internal Medicine Member of German Society for Immunology Professor Warnatz's research focuses primarily on primary immunodeficiencies, autoimmune disorders, and clinical immunology. His work spans diagnostic criteria development, therapeutic interventions for immunodeficiency disorders, and understanding the complex interplay between immune dysfunction and autoimmune manifestations. He has made substantial contributions to establishing clinical guidelines that shape international standards of care. His publication record demonstrates consistent scholarly output with over 290 publications spanning three decades, with significant acceleration in recent years (33 publications in 2022 alone). The research trends show a strong emphasis on consensus guidelines, diagnostic criteria for immunodeficiency disorders, and therapeutic approaches for complex immune conditions. Medical Advisory Committee for IPOPI (International Patient Organization for Primary Immunodeficiency) Medical Advisory Commission for DSAI (German Self-Help Group for Congenital Immunodeficiencies) Professor Warnatz actively contributes to advancing the field through his leadership in developing international consensus documents, including the ICON guidelines for Common Variable Immunodeficiency Disorders and the ESID Registry Working Definitions for Inborn Errors of Immunity. His work bridges clinical practice with research, focusing on improving diagnostic accuracy and treatment outcomes for patients with complex immunological conditions.

Robert Mercașمشاهده پروفایل

مدرس ارشد

• Combinatorics on Words
• Algorithms
• Formal Languages
• +۴ مورد دیگر

Dr. Robert Mercaș is a Senior Lecturer (Associate Professor) in the Department of Computer Science at Loughborough University, UK, where he has been working since July 2016. He leads the Theoretical Computer Science research group and focuses on combinatorial and algorithmic properties of sequences. His academic journey includes positions at King's College London, Kiel University, and Otto-von-Guericke University Magdeburg, supported by prestigious fellowships including the Alexander von Humboldt Postdoctoral Fellowship and the Newton International Fellowship. Dr. Mercaș received his PhD in Combinatorics on Words from Rovira i Virgili University, Spain (2006-2010), following a Master of Advanced Studies from the same institution (2006-2008). He completed his MS in Theoretical Computer Science and BS in Computer Science at the University of Bucharest, Romania. His research spans several interconnected areas within theoretical computer science. Dr. Mercaș specializes in Combinatorics on Words, investigating patterns, repetitions, and structural properties of sequences. His work in Formal Languages explores automata theory, Parikh matrices, and pattern inference. In Bioinformatics, he develops algorithms for sequence comparison and analysis, particularly focusing on absent words. He also contributes to the study of Trace Monoids and has published work related to networks of processors and natural language processing. Dr. Mercaș's publication record shows a consistent focus on combinatorial properties of words, with recent work on repetition roots, Parikh matrices, and string algorithms. His research demonstrates both theoretical depth and practical applications in bioinformatics and string processing, with collaborations spanning multiple international institutions. Alexander von Humboldt Postdoctoral Fellowship (2011-2013) Newton International Fellowship (2016) DAAD fellowship (P.R.I.M.E. funding) DFG grant (582014) As an educator, Dr. Mercaș teaches Mathematics for Computer Science and Algorithms Analysis at Loughborough University. He has previously taught Text Searching and Processing at King's College London and has reviewed PhD theses for students including Markus Whiteland, Marie Lejeune, and Szymon Łopaciuk. His service to the community includes membership on the Steering Committee for the International Conference on WORDS and organizing WORDS 2019 at Loughborough University.

• Neurology
• Stroke Research
• Neurorehabilitation
• +۳ مورد دیگر

Helle Klingenberg Iversen serves as a Clinical Associate Professor within the Department of Clinical Medicine at the University of Copenhagen's Faculty of Health and Medical Sciences, based in the Neurology section at Copenhagen University Hospital (Rigshospitalet) with contact at Blegdamsvej 3, 2200 Copenhagen N. Her academic role centers on clinical neurology research and patient care with emphasis on stroke-related pathologies and rehabilitation. Her research spans Neurology , Stroke Rehabilitation , Neurorehabilitation , Clinical Neurosciences , Aphasia , and Cerebrovascular Diseases , investigating circadian rhythm impacts on stroke recovery, electronic patient-reported outcomes for aphasia assessment, cerebral small vessel disease interventions, and vascular risk factor analysis. This work integrates clinical practice with innovative measurement tools to address rehabilitation challenges. Analysis of her 234 research outputs (including 204 journal articles) shows consistent thematic focus since 2024, with recent publications emphasizing patient-centered outcome measures, multimodal stroke rehabilitation approaches, and international collaborative studies like INTERSTROKE. Her work demonstrates methodological diversity across randomized trials, feasibility studies, and large-scale epidemiological analyses addressing critical gaps in post-stroke care and cerebrovascular disease management. Scientific Awards: No specific awards, fellowships, or medals were documented in the source material. Advising and Grants: The provided text contains no information regarding graduate student supervision, research mentorship, or external grant funding. Labs and Teams: While active in multi-center collaborations including INTERSTROKE, no dedicated laboratory facilities or research team structures were described in the source documentation.

• Work and Health
• Health Diagnostics
• Data Science
• +۴ مورد دیگر

Dr. Patric Wyss is a Research Associate at the School of Applied Psychology, University of Applied Sciences Northwestern Switzerland (FHNW) and concurrently serves as a Research Associate at the Institute for Social and Preventive Medicine (ISPM), University of Bern. His interdisciplinary work bridges psychology, data science, and healthcare, focusing on innovative approaches to health diagnostics and workplace mental health. Dr. Wyss completed his academic training at the University of Bern, Switzerland with a Doctorate in Biomedical Sciences (2019-2022), Master's degree in Statistics and Data Science (2017-2020), Master's degree in Psychology (2014-2017), and Bachelor's degree in Psychology with a Minor in Mathematics (2010-2014). His research interests center on work and health, predicting health variables with complex algorithms, and data-driven personalized health diagnostics. Dr. Wyss has made significant contributions to dementia diagnosis through data-driven approaches, cognitive assessment tools, and digital interventions for mental health. His work often integrates machine learning with clinical psychology to develop predictive models for health outcomes. Analysis of his recent publications reveals a strong focus on neurodegenerative diseases, particularly dementia and cognitive decline in aging populations. His research increasingly incorporates digital health technologies, virtual reality, and algorithmic approaches to develop personalized diagnostic tools. The publications demonstrate a progression from fundamental cognitive neuroscience to applied health diagnostics with practical workplace applications. Dr. Wyss has been actively involved in several significant projects including Digital Balance, Healthy@Work, and work-related stress and mental disorders in the workplace. His current position at the Institute for Mental and Organizational Health at FHNW focuses on how digitalization, social upheavals, and new forms of work present both opportunities and challenges for mental and organizational health. His professional activities include research collaboration across multiple institutions, development of digital assessment tools, and investigation of HR analytics applications for health monitoring. Dr. Wyss has also contributed to the development of serious games for cognitive assessment and rehabilitation, particularly for older adults and patients with neurological conditions.