جستجوی استاد راهنمای دانشگاهی

Wim Gevers is a faculty member at the Université libre de Bruxelles (ULB) and leads the CS4S – Cognitive Control & Sleep laboratory within the CRCN research centre. His work bridges cognitive psychology, neuroscience and sleep research to understand how the brain exerts control over thoughts and actions and how sleep contributes to these processes. Research Interests Cognitive Control & Metacognition: Investigating how subjective experiences such as confidence and the "urge-to-err" guide strategic adjustments in behaviour. Working Memory & Ordinal Cognition: Examining how order information is maintained and manipulated, and how these processes relate to mathematical competence. Sleep, Memory & Decision Making: Exploring how sleep-dependent consolidation influences motor learning and decision strategies. Across his 2022–2025 publications a clear trend emerges: a focus on metacognitive monitoring —how humans evaluate their own cognitive states—and the role of emotional and temporal context in shaping those evaluations. Studies range from reaction-time introspection and confidence judgements in perceptual tasks to the impact of aging and depression on metacognitive accuracy. Doctoral Supervision & Mentoring Whitney Stee (PhD 2024) – Sleep-dependent structural brain reorganization & motor learning Gaia Corlazzoli (PhD 2024) – Subjective experience in decision-making Myrtille Dewulf (PhD 2023) – Ordinal coding mechanisms in working memory Rebeca Sifuentes-Ortega (PhD 2023) – REM sleep and memory reactivation All dissertations were defended at ULB, Faculté des Sciences psychologiques et de l’éducation, with Wim Gevers formally listed as Promotor . Laboratory & Collaborative Networks As head of CS4S, Gevers coordinates a multidisciplinary team that combines behavioural experimentation, EEG/MEG, computational modelling and sleep polysomnography. The lab is embedded in the larger CRCN ecosystem, fostering collaborations with groups such as CO3 (consciousness), LCLD (language & deafness), and UR2NF (neurofunctional imaging).

• Cognitive control
• Metacognition
• Working memory
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Daan Christiaens is a tenure track lecturer at KU Leuven's Faculty of Medicine and Faculty of Engineering Sciences. He is affiliated with the Department of Electrical Engineering (ESAT) and Department of Imaging & Pathology, serving as a member of the Medical Imaging Division and the KU Leuven Brain Institute (LBI). His academic responsibilities include membership in the Faculty Councils of Engineering Sciences and Medicine. His research focuses on: Inverse problems in medical imaging reconstruction Neuroimaging techniques for brain analysis Advanced quantitative MRI methodologies Diffusion-weighted imaging for microstructural assessment Dr. Christiaens' recent publications (2023-2025) demonstrate a consistent focus on diffusion MRI innovations, including novel reconstruction algorithms, neonatal brain development mapping, and clinical applications for neurodegenerative disorders. Key technical themes include motion correction, multi-shell modeling, and AI-enhanced image processing, while clinical applications span Alzheimer's disease, cerebral palsy, and autism research. He leads significant research projects including: MRI reconstruction with dynamic field monitoring (2024-2028) Compressed sensing for microstructure imaging (2022-2026) Neonatal diffusion MRI network connectivity analysis (2024-2028) As a core developer of the MRtrix3 software framework for medical image processing, he contributes to essential tools in neuroimaging research.

• Inverse problems and reconstruction
• Neuroimaging
• Quantitative MRI
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Tom Dhaene is a Full Professor at Ghent University, affiliated with the Department of Information Technology (INTEC-IDLab) within the Faculty of Engineering and Architecture (FEA). He also holds a position at imec, a research and innovation hub in nanoelectronics and digital technologies. Research Unit: Internet Technology and Data Science Lab (IDLab) Academic Rank: Full Professor Affiliations: Ghent University, imec His research focuses on data-efficient machine learning, surrogate modeling, Gaussian processes, Bayesian optimization, and system identification. He has developed widely used software tools such as the SUMO toolbox and ooDACE, and holds 5 U.S. patents. His work bridges theoretical advancements with practical applications in engineering and biomedical domains. Recent publications highlight his contributions to physics-informed machine learning, antenna design, microwave optimization, and healthcare applications. Notably, he explores Bayesian active learning, multi-objective optimization under uncertainty, and efficient modeling techniques for complex systems. Prof. Dhaene's research has been recognized through over 500 peer-reviewed publications and collaborations across academia, industry, and government sectors globally.

• Data-Efficient Machine Learning
• Surrogate Modeling
• Gaussian Processes
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Maarten De Vos is a Professor at the Department of Electrical Engineering (ESAT) , KU Leuven , with dual appointments in the Faculty of Medicine and Faculty of Engineering Science . He leads interdisciplinary research at the intersection of artificial intelligence and biomedical signal processing.

• Artificial Intelligence
• Biomedical Signal Processing
• Sleep Research
• +۴ مورد دیگر

Jo Nijs is a Professor at Vrije Universiteit Brussel (VUB), affiliated with the Department of Physiotherapy, Human Physiology and Anatomy. His work focuses on chronic pain mechanisms, chronic fatigue syndrome, and neurophysiological adaptations. He leads the 'Pain in Motion' research group and has authored over 950 publications with an h-index of 73. Research interests include: chronic musculoskeletal pain pathophysiology, central sensitization, and translational strategies for pain management. Notable projects include investigating epigenetic mechanisms in chronic pain and interdisciplinary approaches to osteoarthritis treatment. Recipient of the 2020 Francqui Collen Chair and 2017 Excellence in Research Award Supervised 73 students in physiotherapy and pain science Active in international collaborations across 25+ countries Recent research emphasizes pain neuroscience education efficacy, pain-sleep interactions, and immune mechanisms in chronic conditions. His work bridges clinical practice with advanced neuroimaging and molecular biology techniques.

• Pain Management
• Chronic Fatigue Syndrome
• Chronic Musculoskeletal Pain
• +۴ مورد دیگر

Martijn Van Heel is an Assistant Professor in Psychology at Brussels University, affiliated with the Consultation Center. He specializes in adolescent mental health, focusing on parenting practices, emotion regulation, and non-suicidal self-injury. His work integrates cross-cultural comparisons and digital media's impact on youth development. He leads and co-leads several projects, including the PRISM network (Psychology, Research, and Innovations for Mental Health) and the SMARTS initiative (Strengthening Mental health and Resilience Through Schools). He also contributed to the 'Good Game' project promoting mental health in esports and research on online communication's effects on adolescents. Van Heel’s research emphasizes cultural differences in parenting, the role of digital platforms in mental health, and developing school-based interventions. His recent studies include benchmarking mindfulness therapies, analyzing emotion regulation across Belgium and Iran, and evaluating the Psychological Referral Optimization (PRO) app for adolescent mental health screening. He collaborates extensively with researchers in Iran, Vietnam, Tanzania, and South Africa, exploring topics like aggression norms, attachment styles, and pandemic impacts on self-injury. His work is disseminated through peer-reviewed journals and international conferences, with notable contributions to Current Psychology and Cognitive Therapy and Research .

• Adolescent Mental Health
• Parenting Practices
• Emotion Regulation
• +۴ مورد دیگر

Dr. Alison Mary is an FNRS Research Associate at the Université Libre de Bruxelles (ULB), Faculty of Psychological and Educational Sciences, Department of Neuropsychology, since October 2023. She is affiliated with the Neuropsychology and Functional Neuroimaging Research Unit (UR2NF), which operates within the Centre de Recherche Cerveau et Cognition (CRCN) and the ULB Neurosciences Institute (UNI). Her research focuses on memory processes and their cerebral underpinnings, particularly in the context of healthy aging and resilience following acute stress. Dr. Mary completed her PhD in January 2016 at UR2nF/CRCN under Professor Philippe Peigneux. From November 2016 to October 2019, she conducted postdoctoral research at the U1077 Unit (Neuropsychology and Imaging of Human Memory – NIMH) in Caen, France, under Dr. Pierre Gagnepain, investigating neurobiological markers of resilience in survivors of the 2015 Paris terrorist attacks. Dr. Mary's research centers on understanding brain mechanisms supporting memory processes in healthy aging using functional connectivity and resting state networks. She investigates non-pharmacological stimulation strategies, particularly transcutaneous vagal nerve stimulation, to promote neuroplasticity and memory in aging populations. Her work examines how sleep architecture, meditation, and cognitive training impact memory processes in older adults, employing advanced neuroimaging techniques including MEG and EEG. Analysis of Dr. Mary's recent publications reveals a strong focus on the intersection of memory, aging, and neuroimaging. Her research increasingly incorporates transcutaneous vagal nerve stimulation to enhance memory processes, while examining how sleep architecture relates to memory consolidation. She also investigates cognitive resilience following acute stress and trauma, exploring neural mechanisms that preserve memory function despite traumatic experiences. FNRS Research Associate Fellowship (2023-present) FNRS Postdoctoral Fellowship (2019-2023) Dr. Mary actively supervises doctoral research, including Benkirane's work on sleep fragmentation and cognition, and Hamel's research on sleep characteristics in older adults. She collaborates extensively within the UR2NF research unit and with international colleagues on memory, aging, and neuroimaging projects. Her laboratory utilizes MEG, EEG, and functional MRI to investigate brain mechanisms underlying memory processes, with future work likely focusing on personalized non-pharmacological interventions for cognitive aging.

• Memory
• Neuroimaging
• Aging
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Daniëlle Copmans is an Assistant Professor at the Faculty of Pharmaceutical Sciences , KU Leuven, where she leads the Molecular Biodiscovery unit and the Subdivision Pharmaceutical Biology and Phytopharmacology . Her research focuses on epilepsy and neurodevelopmental disorders , utilizing zebrafish models for drug discovery and precision medicine . She contributes to network pharmacology approaches and iPSC-based disease modeling for rare conditions like Dravet syndrome.

• Epilepsy research
• Zebrafish disease modeling
• Drug discovery
• +۳ مورد دیگر

Professor Ann Heirman is a distinguished scholar of Buddhist studies at Ghent University (Belgium), where she serves as Professor of Classical and Buddhist Chinese within the Department of Languages and Cultures at the Faculty of Arts and Philosophy. She currently holds multiple leadership positions including Head of the Department of Languages and Cultures (since 2018), Head of the Examination Commissions of the Faculty of Arts and Philosophy (since 2012), and Head of the Ghent Centre for Buddhist Studies, an international research center focusing on India and China. Previously, she served as program director of Oriental Languages and Cultures from 2006 to 2016. Her research expertise centers on Chinese Buddhist monasticism, particularly the development and transmission of disciplinary rules (vinaya) from India to East Asia. She has published extensively on Buddhist nuns, monastic regulations, and the material culture of Buddhist monasteries, with special attention to bodily practices and purity regulations. Her major publications include Rules for Nuns according to the Dharmaguptakavinaya (2002), The Spread of Buddhism (2007), A Pure Mind in a Clean Body (2012, co-authored with Mathieu Torck), and Buddhist Encounters and Identities Across East Asia (2018). Her most recent work examines Buddhist perspectives on animals, as seen in her 2024 article about oxen in Daoxuan's vinaya commentaries. Her current research portfolio includes numerous projects extending through 2028, focusing on Buddhist initiation rituals, vinaya texts from Dunhuang, Buddhist material culture, and the evolution of Buddhist practices in medieval China. Her scholarly approach combines textual analysis with attention to material culture and historical context, revealing how Buddhist monastic practices were adapted as they traveled across Asia. Professor Heirman has supervised numerous PhD students including Xiaoxiao Xu, Anna Sokolova, Jianhong Zeng, Laura Lettere, Ang Zou, Tzu-Lung Chiu, Claire Maes, and Julia Schneider. Her collaborative work extends across international boundaries, reflecting the transnational nature of Buddhist studies. As head of the Ghent Centre for Buddhist Studies, she leads a vibrant research community dedicated to advancing our understanding of Buddhist traditions across Asia, with particular emphasis on the historical and cultural connections between India and China. Her administrative leadership has strengthened Ghent University's position as a significant center for Buddhist studies in Europe.

• Buddhist studies
• Chinese Buddhism
• Monasticism
• +۷ مورد دیگر

Kelly Ickmans is a Professor at the Vrije Universiteit Brussel's Department of Human Physiology and Anatomy, specializing in pain research. She leads interdisciplinary projects addressing chronic pain mechanisms, pediatric pain management, and the neuromusculoskeletal consequences of conditions like chronic fatigue syndrome and hypermobility disorders. Her work integrates clinical research, education, and translational approaches to improve rehabilitation outcomes. Research Focus: Chronic pain pathophysiology, central sensitization, exercise interventions, and pain education for pediatric and adult populations. She has pioneered studies on adrenergic dysfunction in myalgic encephalomyelitis and developed pain science education protocols for cancer survivors. Collaborations: Active in Belgium and internationally, with projects funded by FWO and university grants. Her teams collaborate across physical therapy, neurology, and pediatrics to address comorbidities like pain-sleep disturbances in childhood cancer survivors. Grants & Projects: 10+ active/funded projects including: Epigenetic mechanisms of exercise-induced pain (2024-2028) Pain education for pediatric cancer survivors (PANACEA Study) Rehabilitation paradigms for functional abdominal pain disorders Advising: Supervises 34+ theses and doctoral projects, focusing on clinical research and translational medicine.

• Pain Medicine
• Chronic Pain
• Central Nervous System Sensitization
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Marina Danckaerts is a Professor at the Faculty of Medicine at KU Leuven, affiliated with the Department of Neuroscience and active in the field of Developmental Psychiatry and ADHD research. Her research focuses on: Behavioral and emotional responses in ADHD Sleep disorders and interventions for adolescents with ADHD Attachment theory and instrumental learning in neurodevelopmental conditions Youth mental health service design Invisible disability representation in technology Post-trauma rehabilitation for refugee youth Recent publications highlight her work on: Sleep hygiene and cognitive-behavioral interventions for ADHD adolescents Behavioral persistence and reinforcement mechanisms in ADHD Comparative analysis of youth and professional perspectives on mental health services Game design applications for ADHD teenagers Impact of dopamine pathways on ADHD-attachment controversies She serves as: Co-promotor in 8 active research projects (2024-2030) Promotor for refugee family mental health research Member of KU Leuven Brain Institute (LBI) and Institute for Child and Youth (LC&Y) Participant in criminological sciences councils and psychology program committees Teaching contributions: Course coordinator for multiple child psychiatry modules (codes E0J45A, E0CR3A, etc.) Focus on evidence-based medicine, communication skills, and clinical practice in youth psychiatry

• Child and Adolescent Psychiatry
• ADHD
• Developmental Psychiatry
• +۵ مورد دیگر

Dante Mantini is a full professor at the KU Leuven , affiliated with the Faculty of Movement and Rehabilitation Sciences and the Department of Movement Sciences . He serves as the department chair and leads the Movement Control & Neuroplasticity Research Group , while also holding interim leadership at the Bakala Athletic Performance Facility. Research focuses on neural engineering , neuroinformatics , and neuroscience , particularly brain-muscle interactions, movement-related neural dynamics, and neuroprosthetic development. Active projects include multimodal studies on stroke recovery , gait impairments , sleep's impact on motor performance , and neuroprosthetic device fabrication via advanced printing techniques. He contributes to European College of Sport Science and collaborates internationally, notably with Italy's G.D’Annunzio University on brain imaging in athletes. Teaching responsibilities include Research Topics in Motor Control , Advanced Medical Imaging , and Master’s thesis guidance in human movement sciences. His work is funded by the Bijzonder Onderzoeksfonds (BOF), with a sabbatical focused on expanding mobile EEG applications for dynamic movement studies.

• Neural Engineering
• Neuroinformatics
• Neuroscience
• +۵ مورد دیگر

Prof. An Mariman is a faculty member at Ghent University (UGent), Belgium, with a focus on Medicine and Health Sciences . Her research spans Chronic Fatigue Syndrome , Sleep Disorders , Health Psychology , and Intercultural Communication , often collaborating with co-authors like Dirk Vogelaers, Els Tobback, and Liesbeth Delesie. Key research areas: Sleep quality in postpartum women and athletes Medically unexplained symptoms and cultural diversity Geriatric benzodiazepine withdrawal Chronic fatigue syndrome diagnostics Her work includes 15+ peer-reviewed publications (2013-2024) in journals like BMC Pregnancy and Childbirth and Neurourology and Urodynamics , with recurring sub-fields in fatigue assessment , sleep deprivation , psychosomatic medicine , and health communication . She has contributed to medical education frameworks for chronic fatigue management and interdisciplinary care models.

• Chronic Fatigue Syndrome
• Sleep Medicine
• Health Psychology
• +۳ مورد دیگر

Dr. Ann DeSmet is an Associate Professor in the Department of Public Health and Primary Care at Ghent University's Faculty of Medicine and Health Sciences. With a PhD completed in 2015 on adolescent bystander behavior in cyberbullying and serious digital games for health promotion, she has established herself as a leading researcher in digital health interventions for adolescent populations. Her research primarily focuses on cyberbullying prevention and physical activity promotion through innovative digital approaches. Dr. DeSmet specializes in developing and evaluating serious games, exergames, and mobile health applications designed to encourage healthy behaviors among youth. Her work examines user engagement, behavior change techniques, and the effectiveness of digital interventions across diverse adolescent populations. Analysis of her recent publications reveals a strong trajectory in evaluating digital health tools, with particular emphasis on validation studies for activity trackers, systematic reviews of serious games, and cluster-randomized controlled trials of narrative-driven exergames. Her research spans multiple disciplines including public health, behavioral science, computer science, and psychology, demonstrating interdisciplinary approach to health promotion. Dr. DeSmet has supervised PhD students including Ayla Schwarz (2019) and Carmen Peuters (2022), indicating her active role in mentoring the next generation of researchers. She maintains extensive collaborations with colleagues at Ghent University, particularly with Ilse De Bourdeaudhuij (45 co-authored publications), Greet Cardon (18), and Geert Crombez (11). Her research has been supported through multiple projects including the SmartLife initiative, which combines exergames and smart textiles to promote energy-related behaviors among adolescents. She has also contributed to large-scale international studies examining adolescent health behaviors across multiple countries.

• Cyberbullying
• Physical Activity
• Health Promotion
• +۷ مورد دیگر

Jesse Davis is a Professor at the Department of Computer Science , KU Leuven , actively contributing to the Machine Learning group and the Sports Analytics Lab . He is part of the Faculty of Engineering Science and the Leuven.AI Institute . Ph.D. in Computer Sciences from University of Wisconsin-Madison (2007) M.S. in Computer Sciences from University of Wisconsin-Madison (2005) B.A. in Computer Science from Williams College (2002) His research focuses on machine learning, data mining, big data analytics, and sports analytics, with significant work in: Transfer learning and Markov logic networks Anomaly detection and semi-supervised learning Medical NLP and biomechanical data analysis Soccer performance metrics and tactical analysis His recent work explores spatio-temporal data analysis in sports and explainable AI for medical applications, with collaborations spanning finance, healthcare, and semiconductor manufacturing. Notable scientific awards include: Best Paper Award (Applied Data Science Track) at KDD 2019 Best Technical Paper Award at Intelligence Analysis Workshop He advises numerous PhD and Master's students in areas like: Football analytics Tree ensemble compression Medical question-answering systems Biomechanical load prediction His lab develops tools such as: GSSL for Markov network structure learning TODTLER for transfer learning Alchemy system for Markov logic networks

• Machine Learning
• Data Mining
• Big Data
• +۴ مورد دیگر