Find Academic Supervisors

• Mental Health Research
• Psychiatry
• Clinical Psychology
• +12 more

Inez Germeys is a full professor at KU Leuven, holding a position within the Department of Neuroscience in the Faculty of Medicine. She serves as head of the Contextual Psychiatry research group and is affiliated with both the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Child and Youth (LC&Y). Her institutional roles include membership on the Faculty Council of Medicine and the Departmental Council of Neurosciences as a ZAP representative. Professor Germeys' research focuses on innovative approaches to understanding mental health through real-time assessment methods. Her primary areas of investigation include: Experience Sampling Methodology (ESM) and Ecological Momentary Assessment Psychosis and early intervention strategies Digital mental health interventions, particularly Just-in-Time Adaptive Interventions (JITAIs) Emotion regulation processes in daily life Social context and its impact on mental health symptoms Gene-environment interactions in mental disorders Her work represents a cutting-edge integration of traditional psychiatric research with digital innovation, emphasizing the importance of capturing mental health phenomena in naturalistic settings rather than solely in laboratory contexts. This approach allows for more ecologically valid understanding of symptom dynamics and treatment mechanisms. Analysis of Professor Germeys' recent publications reveals a strong emphasis on methodological innovation in mental health research, particularly in refining experience sampling techniques and applying them to understand emotion regulation, psychosis, and adolescent mental health. A significant portion of her work focuses on developing and validating digital tools for real-time assessment and intervention in mental healthcare settings. Her research increasingly incorporates physiological measures alongside subjective experience to create more comprehensive models of mental health processes. Professor Germeys currently leads multiple major research projects including: 'Minder is meer: Twee innovatieve benaderingen voor het verkorten van Experience Sampling vragenlijsten voor Just-in-Time Adaptive Interventions' (2024-2027) 'Naar de wetenschappelijke basis voor Just-In-Time Adaptive Interventions (JITAI's) voor geestelijke gezondheidsproblemen' (2023-2029) 'Wat zijn risico-momenten: de dynamiek van affectief herstel van stress en sociale interactie in het dagelijks leven' (2023-2027) She supervises doctoral students including Z. Akcaoglu and A. Lachowicz, whose work focuses on social processes in psychosis development and affective recovery from stress, respectively. Her research group actively collaborates with international consortia and has received substantial funding for developing innovative approaches to mental healthcare delivery. Professor Germeys leads the Contextual Psychiatry research group, which specializes in understanding mental health phenomena within their natural contexts using ambulatory assessment methods. The group works at the intersection of clinical psychology, psychiatry, and digital health innovation, with particular expertise in experience sampling methodology and its clinical applications.

Richard DaviesView profile

Lecturer

• Assistive Technologies
• Stroke Rehabilitation
• Wearable Technology
• +5 more

Richard Davies is a Lecturer in Computing Science at Ulster University's Faculty of Computing, Engineering and the Built Environment. He joined the School of Computing and Mathematics in 2001 as a Research Assistant and was appointed Lecturer in Computer Science in 2013. His work is aligned with the Smart Environment Research Group (SERG) where he focuses on developing technologies to support independent living and assistive technologies. His primary research interests center on assistive technologies for chronic conditions including stroke, chronic pain, congestive heart failure, COPD, and dementia. Dr. Davies specializes in wearable technology applications for stroke rehabilitation and has extensive experience designing systems that support independent living for aging populations. His work bridges computer science, healthcare, and rehabilitation engineering to create practical solutions for real-world challenges. His recent publications demonstrate a strong focus on wearable sensor technology, particularly smart insoles and gait analysis systems for rehabilitation settings. The research consistently addresses home-based rehabilitation, remote monitoring, and technology solutions for healthcare system challenges. His work has significant implications for elderly care, stroke recovery, and chronic disease management. Dr. Davies is an active member of the engineering community, having served on panels including Engineers Ireland Accreditation panel and conferences such as ICOST2012, CinC 2010, and IEEE BIBM. He has co-chaired workshops on Assistive Technology and continues to contribute to the field through collaborative research projects. He is currently pursuing a PhD within the School of Computing and Mathematics focused on improving post-stroke rehabilitation through assistive/wearable technology. His educational background includes a BEng(Hons) in Electronic Systems from Ulster University, providing him with a strong foundation for his interdisciplinary work in health technology.

Mark DonnellyView profile

Senior Lecturer

• Data Mining
• Digital Health
• Human Activity Recognition
• +7 more

Mark Donnelly is a Senior Lecturer at the School of Computing, Ulster University, with a BSc (Hons) and PhD in Computer Science. He serves as Course Director for BSc (Hons) Computing Systems since 2019 and focuses on Python Programming and Robotic Process Automation teaching. His research spans Data Mining Digital Health Human Activity Recognition Pervasive Computing Assistive Technology with 130+ publications. Recent publications analyze Gamma mixture models for process mining (2025) ECG expertise assessment through neuromorphic computing (2025) Realist evaluation of digital speech therapy (2025) He has led major projects including EPSRC BMAC Big Lottery LIFEPAL EU-FP7 MICHELANGELO with funding from RCUK EPSRC, EU AAL, H2020, and NIHSC R&D. Current projects focus on Smart and Healthy Ageing (SHAPES) Heart Rate Variability Biofeedback for Autism REMIND Smart Environment Compliance Educational Inclusion for Autism

Hugo Posada-QuinteroView profile

Assistant Professor

• Biomedical Signal Processing
• Wearable Sensors
• Machine Learning
• +4 more

Hugo Posada-Quintero is an Assistant Professor in the Department of Biomedical Engineering at the University of Connecticut. His research focuses on biomedical signal processing, wearable sensors, and machine learning-based interpretation of physiological signals for detecting stress, fatigue, pain, emotion, cognitive performance, oxygen toxicity, and heart failure. With over $6 million in research funding from agencies including NIH, Office of Naval Research, National Institute for Undersea Vehicle Technology, and Military Operational Medicine Research Program, he has co-authored more than 50 peer-reviewed publications. His academic journey includes a BS in Electronic Engineering from Universidad Distrital (2005), an MS in Electronics and Computer Engineering from Universidad de los Andes (2008), and a PhD in Biomedical Engineering from University of Connecticut (2016). BS: Electronic Engineering, Universidad Distrital (2005) MS: Electronics and Computer Engineering, Universidad de los Andes (2008) PhD: Biomedical Engineering, University of Connecticut (2016) His research program centers on biomedical signal processing and wearable sensor development , utilizing machine learning to analyze physiological markers like electrodermal activity (EDA) and heart rate variability (HRV) . Key applications include real-time detection of stress , fatigue , pain , and oxygen toxicity in extreme environments. Recent work spans EDA signal optimization , emotion recognition algorithms , and AI-driven pain quantification . His publications address challenges in wearable sensor reliability , non-linear signal analysis , and cross-species stress monitoring (e.g., equine responses to veterans with PTSD). Research funding highlights: NIH Office of Naval Research National Institute for Undersea Vehicle Technology Military Operational Medicine Research Program

• Cardiology
• Stem Cell Research
• Veterinary Medicine
• +3 more

Professor Hannah Hodgkiss-Geere serves as Professor of Veterinary Cardiology and Education at the University of Liverpool's Veterinary School within the Department of Small Animal Clinical Sciences. She concurrently holds leadership positions as Director of Undergraduate Recruitment for the Veterinary School and Deputy Head of Department for Small Animal Clinical Sciences. Her educational foundation includes: Graduation with distinction from the Royal 'Dick' School of Veterinary Studies (RDSVS) in 2006 Intercalated Master of Science by Research in Virology PhD in Canine Adult Stem Cells focusing on Cardiac and Mesenchymal stem cells ECVIM-CA Diploma in Cardiology (2015) Her research program centers on veterinary cardiology with specialized expertise in stem cell therapies, canine pericardial disease diagnostics, and heart rate variability analysis. She actively develops pedagogical innovations through outreach initiatives like Faith Representatives and Vet Team in a Box, bridging clinical practice with educational methodology. Publication trends reveal a strategic shift toward molecular diagnostics for companion animal cardiac conditions, particularly microRNA-based platforms for early disease detection in canine dilated cardiomyopathy and myxomatous mitral valve disease, alongside clinical investigations into obesity's cardiac impacts across feline and canine species. Her distinguished recognitions include: Fellowship of the Higher Education Academy (2018) Senior Fellowship of the Higher Education Academy (2022) Fellow of the Royal College of Veterinary Surgeons (2022) European Diploma in Cardiology (2015) Hodgkiss-Geere directs extensive clinical teaching across third-year through final-year veterinary rotations while spearheading national student recruitment initiatives. Her research program operates through strategic collaborations with the Royal Veterinary College (cardiac stem cell investigations) and University of Edinburgh (mesothelioma diagnostics), supported by editorial roles including Associate Editorship for Veterinary Record Case Reports (2015-2017). She leads the Small Animal Clinical Sciences research team with active involvement in the ECVIM-CA Cardiology Education Committee since 2015, driving both clinical innovation and educational advancement in veterinary cardiology.

• Psychiatric Genetics
• Computational Psychiatry
• Biomedical Data Science
• +4 more

Dr. Renato Polimanti is an Associate Professor at Yale University, with appointments in Psychiatry, Biomedical Informatics & Data Science, and Chronic Disease Epidemiology. He serves as Associate Director for Scientific and Technical Operations at the VA Connecticut Healthcare System's Clinical Epidemiology Research Center. Yale School of Medicine Yale School of Public Health VA Connecticut Healthcare System His research focuses on applying big data analytics to neuropsychiatric disorders, integrating genetics, imaging, and clinical data to improve healthcare equity. Key areas include: Internalizing disorders and pleiotropic mechanisms Mental-physical health comorbidities Social determinants of psychiatric outcomes Sex-specific genomic regulatory processes Human evolutionary genetics Recent publications highlight collaborations on PTSD, anxiety, and substance use disorders via multi-omics and biobank data. His lab contributes to global initiatives like the Psychiatric Genomics Consortium and the Million Veteran Program. Honors include the 2022 Pathway Research Award (Alkermes), 2021 Rising Star Computational Psychiatry Award (One Mind), and international recognitions. He mentors Brenda Cabrera-Mendoza (Postdoctoral Associate) and collaborates with Joel Gelernter, John Krystal, and Daniel Levey.

Mohamed S. AmeenView profile

Research Fellow

• Sleep and Consciousness
• Neural Mechanisms of Cognitive Processing
• Science Communication
• +3 more

Mohamed S. Ameen is a Postdoctoral Researcher at the University of Salzburg's Department of Psychology within the Laboratory for Sleep, Consciousness, and Cognition Research. His work integrates cognitive neuroscience and sleep physiology to investigate neural mechanisms during sleep states, utilizing advanced neuroimaging techniques including hdEEG and fMRI. His academic journey includes: PhD in Cognitive Neuroscience (2019-2024) from University of Salzburg under Kerstin Hoedlmoser M.Sc. in Neuroscience (2014-2016) through Joint Master program (Strasbourg/Freiburg/Basel) with thesis at Cambridge University B.Sc. in Pharmacy with Honours (2008-2013) from Cairo University Dr. Ameen's research centers on sleep-consciousness interactions and neural information processing , with particular emphasis on how the brain selectively processes external stimuli during sleep. His investigations into (non-)oscillatory neural activity reveal how aperiodic signals and oscillations track sleep architecture changes and support memory consolidation. He actively promotes scientific literacy through science communication initiatives targeting both academic and public audiences. Analysis of his publication record shows consistent focus on sleep-dependent neural mechanisms, particularly the role of sleep spindles in memory processing and the brain's capacity for selective auditory processing during sleep. His methodological expertise in analyzing both oscillatory and aperiodic neural activity has advanced understanding of sleep's functional architecture. His scientific recognition includes: Young Talent Award for Sleep Research (2023) Young Investigators Award (2022) DOC doctoral fellowship (2019) Early Career Postdoctoral Grant (2024) Dr. Ameen has secured significant research funding including a €42,693 Early Career Grant for his REM Sleep Structure project and €115,000 DOC fellowship. As Student Speaker for the Imaging the Mind Doctoral College (2019-2024), he facilitated academic development while maintaining active collaborations across Columbia University, Free University of Brussels, and Cambridge University. His technical proficiency spans Python, MATLAB, and advanced EEG analysis toolboxes. He operates within the Center for Cognitive Neuroscience Salzburg, collaborating closely with Prof. Manuel Schabus and Assoz.-Prof. Kerstin Hoedlmoser. His international research network extends through recent stays at Columbia University's Electrophysiology Lab and Free University of Brussels' Neuropsychology Unit, driving cross-institutional investigations into sleep's role in cognitive processing.

Theresa HauserView profile

Researcher

• Sleep Science
• Cognitive Neuroscience
• Psychophysiology
• +2 more

Theresa Hauser is a researcher at the Department of Psychology, Paris-Lodron-University of Salzburg, specializing in sleep science and psychophysiology. She works within the Centre for Cognitive Neuroscience and Lab for Sleep & Consciousness Research under Univ.-Prof. Dr. Manuel Schabus. PhD student since 2019 Specialist training in psychotherapy since 2022 Research associate since 2016 Her research focuses on: Sleep habits and disorders in Austria Online-based cognitive behavioral therapy for insomnia Neural and cardiovascular aspects of sleep-dependent memory consolidation Psychophysiology of attachment and mother-child interactions Recent projects include developing digital sleep research platforms (sleeplounge.net, GesunderSchlaf.Coach, Nukkuaa virtual sleep lab) and investigating sleep technology validation. She has contributed to several funded research initiatives including the FFG-funded "Besser Schlafen mit dem iBed" project (€12,500) and participated in multiple European Sleep Research Society conferences.

Carolyn McGregorView profile

Professor

• Health Informatics
• Artificial Intelligence
• Big Data Analytics
• +3 more

Professor Carolyn McGregor is a distinguished academic holding positions at both University of Technology Sydney (UTS) and University of Ontario Institute of Technology (UOIT). At UTS, she serves as Professor in the Faculty of Engineering and Information Technology and School of Computer Science. At UOIT, she holds multiple leadership roles including Research Chair in AI for Health and Wellness, Director of the Joint Research Centre in AI for Health and Wellness, and former Canada Research Chair in Health Informatics. Professor, University of Technology Sydney (2017-present) Co-Director, Joint Research Centre in AI for Health and Wellness (2019-present) Research Chair in AI for Health and Wellness (2020-present) Research Excellence Chair in Health Informatics (2018-present) Professor, University of Ontario Institute of Technology (2011-present) Dr. McGregor earned her PhD in Computer Science from University of Technology Sydney (1998-2003) where she graduated with first-class honors. Her academic journey began with a Bachelor of Applied Science in Computer Science from the same institution (1987-1990). Her research expertise spans health informatics with a particular focus on neonatal critical care, where she pioneered work applying big data analytics to bedside monitoring in intensive care units. Her research interests have expanded to include AI applications in extreme environments including space, firefighting, military operations, and police wellness. She has developed innovative frameworks for reliable big data platforms that process high-frequency physiological streams for real-time clinical decision support. McGregor's publication record demonstrates remarkable breadth, moving from neonatal care applications to space medicine, law enforcement wellness, and veterinary disease control. Her work consistently applies computational methods to healthcare challenges across diverse contexts, with recent publications showing increased focus on AI applications in extreme environments and stress monitoring systems. Her research bridges computer science with clinical practice, creating tools that directly impact patient care and professional wellness. Member of the Order of Australia (2014) UTS Alumni Award for Excellence (2015) FBIT Research Excellence Award (2018) Two-time Canada Research Chair in Health Informatics IBM Centenary Video feature as significant innovator Dr. McGregor has secured substantial research funding from major organizations including Canadian Institutes of Health Research (CIHR), Natural Sciences and Engineering Research Council (NSERC), and Australian Research Council. Her funded projects include Autonomic Modulation Training for police resilience, Resilience Assessment for Firefighters, and Improving Neonatal Critical Care through Real Time Analysis. She has supervised numerous students and collaborators across disciplines, fostering interdisciplinary research teams focused on health informatics applications. Her leadership extends to directing the Health Informatics Laboratory and serving as Associate Dean of Research at UOIT. As Director of the Joint Research Centre in AI for Health and Wellness, she leads a multidisciplinary team developing AI solutions for health monitoring across extreme environments. Her work with NASA-related projects on space medicine and astronaut health demonstrates the far-reaching impact of her research framework, which has been adapted from neonatal care to space exploration contexts.

• Medical AI
• Computer Vision
• Multimedia Systems
• +7 more

Pål Halvorsen serves as a Research Professor and Head of the Holistic Systems Department at Simula Research Laboratory, a prominent independent research institute in Norway. His work spans multiple interdisciplinary domains with a strong focus on applying artificial intelligence to solve complex problems in healthcare, medical imaging, and multimedia systems. As department head, he leads research initiatives that bridge computer science with practical applications in clinical settings and sports analytics. Halvorsen's research interests are deeply interdisciplinary, focusing on the intersection of artificial intelligence, medical applications, and multimedia systems. His work in medical AI particularly emphasizes gastrointestinal disease detection, polyp segmentation in colonoscopy procedures, and explainable AI systems that provide transparency in medical decision-making. In the sports domain, he develops advanced video analytics for soccer and ice hockey, creating AI-based systems for event detection, player tracking, and content optimization for social media. His research on multimodal data analysis addresses critical challenges in healthcare, including missing data imputation and the integration of diverse data sources for improved clinical outcomes. His recent publications demonstrate a consistent focus on practical AI applications that address real-world challenges, with particular emphasis on validation frameworks that bridge the gap between theoretical AI models and clinical implementation. Halvorsen's work often involves large-scale dataset creation, such as the OBF-Psychiatric dataset for mental health research and various sports analytics datasets, which have become valuable resources for the research community. Halvorsen's publication record shows a clear trend toward developing robust, clinically validated AI systems with strong emphasis on explainability and transparency. His research spans gastrointestinal endoscopy, cardiology (particularly ECG analysis), sports analytics, and psychiatric applications, with a common thread of addressing the practical challenges of implementing AI in real-world settings. The work consistently focuses on validation frameworks, benchmarking studies, and the development of datasets that advance the state of the art while addressing the practical limitations of current AI systems in healthcare and multimedia applications. While specific awards aren't mentioned in the available information, Halvorsen has established himself as a leader in organizing major research challenges including the Medico Multimedia Task at MediaEval, ImageCLEFmedical, and various Grand Challenges focused on detecting cheapfakes and AI-based video production for soccer. His leadership in these community-wide evaluation efforts has significantly contributed to advancing research methodologies in medical AI and multimedia systems. Halvorsen's collaborative approach is evident across his extensive publication record, which shows consistent partnerships with medical professionals, computer scientists, and domain experts across multiple institutions. His work on child interview training systems demonstrates collaboration with psychology and forensic experts, while his medical imaging research involves close partnerships with gastroenterologists and clinicians. This interdisciplinary collaboration model appears to be central to his research philosophy, ensuring that technical solutions address genuine domain challenges. His leadership of the Holistic Systems Department suggests he oversees multiple research teams working on diverse but interconnected projects spanning healthcare AI, sports analytics, and multimedia systems development.

• Physiotherapy
• Chronic Pain
• Musculoskeletal Health
• +3 more

Dr. Fereshteh Pourkazemi serves as an Associate Professor in Physiotherapy at the Faculty of Medicine and Health of the University of Sydney. She is a Senior Fellow of the Higher Education Academy and actively involved in the Sydney Musculoskeletal Health Flagship, Sydney Pain Consortium, and Neuro-Musculoskeletal Research Collaborative. Education: PhD, MSc, BPhty (Hons I), Graduate Certificate in Higher Education Clinical focus: Rehabilitation, musculoskeletal health, chronic pain Her research bridges chronic pain management with clinical trials in areas like: Dietary interventions (e.g., ketogenic diets) for chronic pain Visual arts and movement therapies as psychosocial interventions Swallowing disorders and exercise dosage in stroke rehabilitation Ankle instability biomechanics and rehabilitation Recent work trends include: Systematic reviews on nutrition and pain (2023-2024) Qualitative studies on speech pathology practices (2024) Dance and arts-based interventions for pain (2022-2023) Longitudinal studies on ankle injury recurrence (2018) Scientific awards include: FMH Showcase Travel Awards (2022, 2023) Industry & Community Engagement Seed Fund (2018) She supervises research students including Daniel Evans (Chronic Ankle Instability) and Julia Kang (Heart Rate Variability in Pain). Her lab work focuses on interdisciplinary approaches to musculoskeletal health through clinical trials and mixed-methods research.

• Neurobiology
• Animal Physiology
• Vocal Communication
• +3 more

Steffen Hage is a Senior Lecturer at the University of Tübingen's Faculty of Mathematics and Natural Sciences, specifically affiliated with the Department of Biology and Institute of Neurobiology. As a part-time teaching staff member, he focuses on neurobiological and physiological research aspects of vocal communication and auditory feedback mechanisms in primates and other animals. Institute of Neurobiology Animal physiology Department of Biology His research spans evolutionary perspectives on speech and language, neural control of vocalization, auditory processing defects in neurodevelopmental disorders, and adaptive strategies to environmental acoustics. Key methodologies include electrophysiological recordings, behavioral analysis, and computational modeling. Recent publications emphasize vocal coding efficiency in marmosets, neural synchronization during vocal production, and environmental influences on auditory behavior. His work bridges comparative neuroscience and biomedical applications, particularly in hearing rehabilitation technologies.

• Exercise Physiology
• Maternal and Infant Health
• Prenatal Exercise
• +3 more

Linda May is an Associate Professor in the Department of Kinesiology at East Carolina University's College of Health and Human Performance , with an adjunct role in Obstetrics and Gynecology. Her research explores maternal exercise's impact on fetal programming, infant metabolism, and cardiovascular outcomes . Key Research Themes : Maternal physical activity, fetal cardiac development, neonatal metabolism, mesenchymal stem cell function, and intergenerational health disparities. Notable Grants : NIH, Thrasher Research Fund, American Heart Association, and internal university awards (2013–2025). Leadership Roles : Co-Chair of ECSS Special Interest Group, Chair of ACSM Pregnancy and Postpartum SIG, and co-director of ECU's Prenatal Oral Health Program. Dr. May has contributed to Spanish clinical practice guidelines for prenatal exercise and developed tools like the Get Active Questionnaire to overcome barriers to prenatal activity. Her work spans 150+ publications in journals like American Journal of Physiology and Obesity , with global collaborations.

François CottinView profile

Professor

• Cardiovascular Physiology
• Exercise Physiology
• Signal Processing
• +3 more

François Cottin serves as a University Professor at the Faculty of Sports Sciences of the University of Paris-Saclay, located at Building 335 on Pierre de Coubertin Street in Bures sur Yvette. His academic work focuses on the intersection of exercise science and physiological signal analysis. Professor Cottin's research centers on spectral analysis of cardiovascular signal variability to understand autonomic cardiovascular control and cardiorespiratory interactions in humans. His work examines both acute and chronic adaptations and maladaptations of the organism during exercise and at rest under various environmental conditions. He specializes in analyzing physiological signals including cardiovascular measurements (ECG, blood pressure) and respiratory signals (ventilation, gas exchange, lactate measurements). Through extracting series of values such as cardiac periods (RR intervals) and blood pressure data, his research investigates how the body adapts to stresses including posture changes, exercise, and pathologies like diabetic neuropathy, heart failure, and septic shock. His work has particular relevance to understanding how decreased heart rate variability correlates with mortality risk. His research methodology employs various signal processing techniques to analyze cardiovascular parameter variability, contributing to advancements in non-invasive assessment of autonomic control mechanisms. Professor Cottin maintains an active research profile as evidenced by his ORCID identifier (0000-0002-7950-2163) and continues to contribute to the field of exercise physiology and cardiovascular signal analysis.

• Athletes
• Mouth Guard
• Isometrics
• +4 more

Bernat Buscà Safont Tria is a Full Professor at the Department of Physical Activity and Sport Sciences and Sports Management , part of the Faculty of Psychology, Educational Sciences and Sports at Ramon Llull University. He leads the Blanquerna Research and Innovation Group in Sport and Society and has an ORCID profile ( 0000-0002-4831-8224 ). Research Interests : Focused on athlete physiology, muscle contraction dynamics, and biomechanical interventions like mouthguards and vibration training. Key Collaborations : Works with Joan Aguilera Castells, Josep Miro Alba, and other researchers on force production and training methodologies. Scientific Contributions include studies on Superimposed vibration in suspended push-ups Bite-aligning mouthguards and upper body strength Offset loading in resistance exercises Kinematic analysis of penalty kicks in soccer