جستجوی استاد راهنمای دانشگاهی

Tom Francart is a Professor at the Department of Neuroscience, Faculty of Medicine, KU Leuven. He leads research in auditory attention, EEG decoding, and speech processing, with affiliations to iSi Health, LBI (KU Leuven Brain Institute), and Leuven.AI. His research focuses on: Neural decoding of auditory attention using EEG Objective measures for aphasia and hearing impairment Brain-computer interfaces for hearing aids Audiovisual integration in speech perception Machine learning applications in auditory neuroscience Recent publications analyze neural tracking of speech in aphasia, transformer-based EEG decoding, and audiovisual context integration. He supervises projects on cochlear implants, attention decoding algorithms, and post-stroke recovery.

• Auditory Attention
• EEG Decoding
• Cochlear Implants
• +۵ مورد دیگر

Dr. Alexander Bertrand is a Professor at the Faculty of Engineering Sciences , KU Leuven, heading the Dynamic Systems, Signal Processing and Data Analysis (STADIUS) division. He leads the Department of Electrical Engineering (ESAT) and contributes to Leuven.AI institute, with expertise spanning wireless sensor networks, brain-computer interfaces (BCI), and biomedical signal processing. Research Focus : Wireless acoustic/EEG sensor networks, distributed signal enhancement, adaptive filtering, neural decoding of auditory/visual attention, and AI-driven time series analysis. Key Projects : EEG-Linx platform for modular brain recordings (2025-2027) Calibration-free BCI systems (2025-2029) AI quality assessment for time series data (2024-2028) Wireless EEG patches for hearing technology (2024) Publications (2023-2025) demonstrate leadership in distributed signal processing , auditory attention BCI , and scalable sensor architectures , with applications in education, healthcare, and wearable tech. Teaching includes courses on digital signal processing, biomedical data analysis, and medical technology design.

• Wireless Sensor Networks
• Brain-Computer Interfaces (BCI)
• EEG Signal Processing
• +۴ مورد دیگر

Marc Van Hulle is a full Professor at the Laboratory for Neuro- and Psychophysiology , KU Leuven Faculty of Medicine, Department of Neurosciences. He serves as promotor for multiple long-term projects (2022-2028) at the intersection of biomedical engineering and neuroscience, including Alzheimer's early detection, Parkinson's brainstem-basal ganglia interactions, and advanced brain-computer interfaces (BCIs). His affiliations include the KU Leuven Brain Institute (LBI) and Leuven.AI artificial intelligence institute. Research Focus: Specializing in computational neuroscience, Marc Van Hulle pioneers innovative BCI systems, neurophysiological modeling, and biomedical signal processing. His work spans cognitive modeling, neural network analysis, and translational applications for neurological disorders through advanced signal decoding techniques. Publication Trends: Recent articles emphasize decoding speech and motor activities from brain signals (ECoG/EEG), Alzheimer's detection via graph network analysis, and VR-integrated SSVEP systems. Key methodologies include tensor regression, multiway modeling, and phase synchrony analysis, with consistent application of AI to biomedical challenges. Academic Contributions: He supervises multiple researchers including Aurelie de Borman, Axel Faes, and Qiang Sun. His projects as promotor include European Doctoral Network for Neural Prostheses , Adaptive multistate decoding , and Decoding imagined speech , demonstrating sustained leadership in neurotechnology research. Laboratory Context: The Laboratory for Neuro- and Psychophysiology includes PhD members working on neural computing and BCI systems, with former members having completed significant contributions in similar domains.

• Computational Neuroscience
• Brain-Computer Interfacing
• Artificial Intelligence
• +۴ مورد دیگر

Dick Botteldooren is a full Professor of Acoustics at Ghent University, Belgium, leading the WAVES (Wireless, Acoustics, Environment & Expert Systems) research unit. He serves as I-INCE vice-president for Europe and Africa and previously held leadership roles as Editor-in-Chief of Acta Acustica (2004-2013) and president of the Belgian Acoustical Society (until 2018). His educational background includes: MSc in Electronic Engineering (1986, Ghent University) PhD in Applied Science (1990, Ghent University) Professor Botteldooren's research spans acoustic modeling, noise mapping, environmental sensor networks, computational intelligence, and human-inspired machine listening. His work integrates biomonitoring (particularly EEG), health impact assessment of sound, urban sound planning, and soundscape design with strong policy implications. Recent focus areas include AI-driven analysis of animal vocalizations and therapeutic soundscape design for dementia care. Analysis of his 2021-2025 publications reveals three dominant trends: (1) Machine learning applications in bioacoustics (especially broiler chicken vocalization monitoring for welfare assessment), (2) EEG-based attention detection systems using spiking neural networks and cross-modal transfer, and (3) Soundscape augmentation for dementia care through auditory processing-driven environmental interventions. His work consistently bridges computational methods with real-world acoustic challenges. His scientific recognition includes: Fellow of the Acoustical Society of America Professor Botteldooren has advised national and international health councils and noise policymakers, translating research into practice. His work has received sustained funding from the Belgian National Fund for Scientific Research and other international bodies, supporting both fundamental acoustics research and applied policy development. The WAVES research unit under his leadership conducts interdisciplinary work combining wireless sensor networks, computational intelligence, and human-centered acoustics, with active projects in urban noise monitoring, bioacoustic surveillance, and neuroacoustic applications.

• Acoustic Modeling
• Noise Mapping
• Environmental Sensor Networks
• +۸ مورد دیگر

Bert De Smedt is a Professor at the Faculty of Psychology and Educational Sciences of KU Leuven , Belgium. He leads research in Educational Neuroscience , focusing on individual differences in children's mathematical development, neurocognitive mechanisms of arithmetic learning, and metacognitive regulation. His work combines behavioral assessments with brain imaging (EEG, fMRI) to unravel typical and atypical numerical development. His research spans multiple domains including white matter plasticity in response to schooling, mathematical language interventions for bilingual preschoolers, and neural envelope tracking for real-time attention monitoring. Current projects investigate metacognitive control mechanisms, spatial skills' role in mathematics, and causal pathways in home numeracy environments. Recent publications highlight interventions for preschool numeracy, educational neuroscience methodologies (Math4Speed tool), and longitudinal studies on arithmetic strategy development. His work demonstrates how ecologically valid parental engagement improves early math skills while challenging assumptions about domain-general cognitive control mechanisms. Scientific Awards Erik De Corte Early Career Award (2013) IMBES Early Career Award (2014) APS Academic Fellow (2016) Royal Flemish Academy Laureate (2018) As President of IMBES and Editorial Board member for journals like Developmental Science and Journal of Educational Psychology , he advances interdisciplinary research between neuroscience and education. His lab collaborates with institutions such as the KU Leuven Brain Institute and Institute for Child and Youth .

• Educational Neuroscience
• Mathematical Development
• Neurocognitive Mechanisms
• +۵ مورد دیگر

Jolien Gooijers is a Lecturer at the Department of Human Movement Sciences within the Faculty of Human Movement and Rehabilitation Sciences at KU Leuven . Her research focuses on motor control, neuroplasticity, aging, and sports neuroscience, with a strong emphasis on sensorimotor adaptation, stroke rehabilitation, and brain injury mechanisms. Co-promotor of the Next Generation Prosthetics project (2025-2029) Promotor of ROBUST+ (2024-2028) and Witte stof projects (2021-2027) Her recent work explores: Age-related cerebellar resilience in motor tasks White matter microstructure in bimanual coordination Neurological consequences of repetitive head impacts in youth soccer Lesion network mapping for stroke outcome prediction She contributes to courses in motor learning, neurophysiology, and sports training at KU Leuven.

• Motor Control
• Neuroplasticity
• Aging
• +۷ مورد دیگر

Peter Janssen is a Full Professor at KU Leuven's Faculty of Medicine, affiliated with the Department of Neuroscience. He leads the Neurophysiology Research Group at the Laboratory for Neuro- and Psychophysiology and holds memberships in interdisciplinary institutes including the KU Leuven Brain Institute (LBI), Institute for Artificial Intelligence (Leuven.AI), and Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His administrative roles include membership in the Faculty Council of Medicine and Departmental Council of Neurosciences. His research focuses on: Neural mechanisms of visual perception and action processing Intracortical brain-machine interfaces for visual prosthetics Neurophysiology of primate frontal and parietal cortices High-resolution neural implants and stimulation techniques Epileptic network dynamics using multimodal intracranial recordings Current projects include developing flexible retinal implants for vision restoration (2025-2028), decoding neural activity for navigation (2022-2026), and studying mirror neuron connectivity in primates (2023-2027). He teaches advanced courses including Neurophysiology (E0E76A), Consciousness and Sleep (E0N60A/U00L9A), Neuroscience (E05Y5A), and Nervous System Morphology/Pathophysiology (E0I69A). As primary supervisor, he mentors PhD candidates in neuroprosthetics, brain-machine interfaces, and neural coding research. Recent student projects involve intracortical visual prostheses, action observation in motor cortex, and human intracranial decoding. His laboratory utilizes cutting-edge techniques including intracortical recordings in primates, human electrocorticography, high-density electrode arrays, and AI-driven neural modeling.

• Neuroscience
• Neurophysiology
• Visual Prosthetics
• +۳ مورد دیگر

Jorne Laton is an Unpaid Guest Professor in Clinical Sciences and a postdoctoral researcher in Neuroprotection & Neuromodulation at Vrije Universiteit Brussel. His research focuses on analyzing neurophysiological data (EEG/MEG) to develop machine learning tools for diagnosing neurological disorders like Alzheimer’s, multiple sclerosis, and schizophrenia. He held postdoctoral positions at the University of Oxford (2017–2022) and currently leads projects on AI-driven clinical modeling and cognitive decline prediction. Education: PhD, MScEng Key Projects: ANI419: Multimodal predictor for cognitive decline in mild cognitive impairment (2025–2026) IOF3021: AI applications in neurology and psychiatry (2022–2026) Research Interests: EEG/MEG signal processing, machine learning for diagnosis, neurodegenerative disease biomarkers His work emphasizes translating AI techniques into clinical practice, with recent contributions to federated learning frameworks for brain age modeling and EEG-based schizophrenia classification.

• Neurophysiological Data Analysis
• Machine Learning in Healthcare
• Neurological Disorders Diagnosis
• +۳ مورد دیگر

Genevieve Albouy serves as a Lecturer in the Department of Human Movement Sciences at KU Leuven and is an active member of the KU Leuven Brain Institute (LBI). Her academic profile centers on the intersection of motor control, memory systems, and sleep neuroscience, with particular emphasis on neurodegenerative conditions like Parkinson's disease. She contributes to interdisciplinary research through collaborative projects examining how sleep architecture influences motor memory consolidation. Dr. Albouy's research program investigates how sleep-dependent processes mediate motor memory consolidation, with special focus on phase-specific neural mechanisms during slow-wave sleep. Her work employs multimodal approaches including fMRI, EEG, and non-invasive brain stimulation to dissect cortico-striatal-hippocampal network interactions during motor learning. Current projects explore schema-mediated memory integration, targeted memory reactivation techniques, and the impact of Parkinson's disease on online/offline learning dynamics, revealing compensatory neural mechanisms in neurodegenerative populations. Analysis of her recent publication trajectory shows concentrated investigation into sleep-motor memory interactions, with increasing emphasis on clinical translation for Parkinson's disease rehabilitation. Her work demonstrates how targeted interventions during specific sleep phases can enhance motor memory consolidation, while her Parkinson's research identifies paradoxical offline learning enhancements that may inform novel neurorehabilitation strategies. Dr. Albouy has secured significant research funding as promoter of the project 'Modulating motor memory with noninvasive brain stimulation: a multimodal neuroimaging study' (2017-2023) and co-promoter of 'Schema and Motor Memory: A Multimodal Neuroscience Study' (2019-2024) and 'Connectivity in Large-Scale Brain Networks and Sleep-Dependent Motor Memory Consolidation' (2019-2023). She serves as co-supervisor for doctoral candidates, including Reverberi's thesis on schema and motor memory, and actively collaborates with international teams studying sleep-dependent memory processes. As a core member of the KU Leuven Brain Institute, she contributes to interdisciplinary neuroscience initiatives focusing on large-scale brain networks. Her laboratory work integrates sleep monitoring, neuroimaging, and behavioral paradigms to investigate memory consolidation mechanisms, with recent expansions into clinical applications for neurodegenerative disorders through collaborations with movement disorder specialists.

• Motor Memory Consolidation
• Sleep Neuroscience
• Neurorehabilitation
• +۴ مورد دیگر