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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
• +5 more

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
• +4 more

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
• +4 more

María Alejandra Díaz Pinilla serves as a postdoctoral researcher and scientific employee within the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB), Belgium. She actively contributes to the Human Physiology and Sports Physiotherapy Research Group, driving innovation in biomechanics and rehabilitation technology development. Her research spans Biomechanics , Rehabilitation Robotics , and Sports Physiotherapy , with specialized expertise in Muscle Synergies and Human-in-the-loop Optimization . She pioneers methods for robot-assisted movement therapy, prosthetic integration, and predictive musculoskeletal simulations, focusing on lower extremity rehabilitation and sports recovery applications. Her work bridges engineering precision with clinical rehabilitation needs through rigorous biomechanical analysis. Analysis of her recent publications reveals a decisive shift toward personalized rehabilitation systems, where muscle synergy metrics and human-in-the-loop frameworks optimize robotic interventions. This approach demonstrates significant potential for stroke recovery and amputation rehabilitation, particularly in ankle/foot biomechanics and return-to-sport protocols. Her scientific recognition includes: Xsens Biomechanics Challenge 2022 - Third Place Díaz Pinilla actively shapes the field through conference leadership (including chairing BioRob 2024) and peer review for IEEE Robotics and Automation Letters. As a core member of VUB's Human Physiology and Sports Physiotherapy Research Group, she fosters international collaborations visible in her research network, with emphasis on translating biomechanical insights into clinical rehabilitation tools. Her involvement in the 2023 Women in STEM campaign highlights commitment to diversity in academic engineering.

• Biomechanics
• Rehabilitation Robotics
• Sports Physiotherapy
• +4 more