جستجوی استاد راهنمای دانشگاهی

Julie Dethierمشاهده پروفایل

پژوهشگر ارشد

• Computational Neuroscience
• Neural Oscillations
• Brain-Machine Interfaces
• +۲ مورد دیگر

Julie Dethier is a Research Fellow at the University of Liège, affiliated with the Faculty of Applied Sciences and Montefiore Institute. Her research bridges cellular neuroscience and network dynamics, with focus on pathological rhythms in Parkinson's disease and brain-machine interface development. She completed her Ph.D. in 2015 under Prof. Sepulchre's supervision. Her academic journey includes: Ph.D. in Systems and Modeling (2015), University of Liège with Princeton University research stay (2014-2015) Master of Science in Bioengineering (2011), Stanford University (Brains in Silicon lab) Master of Applied Sciences in Biomedical Engineering (2010, summa cum laude), University of Liège Bachelor of Applied Sciences (2008, summa cum laude), University of Liège Dr. Dethier investigates how cellular feedback mechanisms generate pathological beta oscillations in basal ganglia circuits, disrupting motor function in Parkinson's disease. Her computational approaches model the transition from unicellular rhythms to network-level oscillations, with implications for deep-brain stimulation therapies. She integrates electrophysiological data with dynamical systems theory to explain robustness and modulation in neural circuits. Her publication record demonstrates evolving expertise from brain-machine interface hardware (2011-2012) to fundamental neural mechanism studies (2013-2015). Key themes include spiking neural network decoders, cellular feedback loops, and pathological oscillation generation. Work spans computational modeling, neuromorphic engineering, and translational neuroscience with applications in neuroprosthetics. Major recognitions include: WBI excellence grant for Princeton research (2014) LEAR Foundation Fellowship for Cambridge research (2013) Audience Award at ULg thesis competition (2013) IEEE EMBS Best Poster Award (2011) Fulbright Honorary Fellowship and Rotary International Fellowship (2010) Funded by competitive F.R.S.-FNRS and international fellowships, her research involved cross-institutional collaboration with Princeton, Cambridge, and Stanford teams. While no formal advisees are listed, her publications reflect mentorship through co-supervised projects and conference presentations. Current work extends her doctoral thesis on multiscale neural dynamics. She maintains active ties with the Systems and Modeling Research Unit at Liège, Brains in Silicon lab at Stanford, and participates in Benelux neuroscience networks through the Montefiore Institute.

Wouter Van Gompelمشاهده پروفایل

استادیار

• Hybrid Perovskites
• Optoelectronics
• Material Synthesis and Characterization
• +۵ مورد دیگر

Prof. Dr. Wouter Van Gompel is an Assistant Professor (Tenure Track) at Hasselt University's Faculty of Sciences, leading the Hybrid Materials Design (HyMaD) research group. His work focuses on designing hybrid materials for optoelectronics, particularly low-dimensional hybrid perovskites. He holds a PhD from Hasselt University (2019) and completed postdoctoral research at EPFL and the University of Cambridge, supported by FWO and BOF grants. Education: Master in Chemistry, Ghent University (2015) PhD in Chemistry, Hasselt University (2019) Research Interests: Hybrid perovskite design and synthesis Optoelectronic applications (solar cells, photovoltaics) Charge transfer dynamics and energy funnelling Material stability and structural engineering Organic-inorganic interfaces Grants & Projects: FWO-SB PhD grant (2015–2019) FWO-SBO project collaboration with imec and Belgian universities (postdoc) BOF postdoctoral mandate (2022) Current projects include optoelectronic materials for neuromorphic computing and solar cells Teaching & Supervision: Coordinating lecturer for courses like Fundamentals of Materials Chemistry and Hybrid Materials and Functional Interfaces Supervising PhD students in areas like perovskite stability, chirality, and neuromorphic applications Labs & Groups: Head of HyMaD expertise group at Hasselt University Collaborates with IMOMEC institute and international labs

Pieter Simoensمشاهده پروفایل

استادیار

• Distributed Artificial Intelligence
• Edge Computing
• Algorithms for Neuromorphic Computing
• +۲ مورد دیگر

Pieter Simoens is an Assistant Professor at Ghent University and affiliated with the imec research institute. He works at the intersection of distributed artificial intelligence, edge computing, and collective intelligence, with a focus on AI applications for resource-constrained environments and robotic systems. His research explores innovative approaches to machine learning deployment in heterogeneous infrastructures, task planning for IoT-integrated robotics, and modeling collective decision-making processes. He has contributed to frameworks like DIANNE for distributed deep learning and developed methods for cognitive modeling in reinforcement learning scenarios. With over 100 publications, his recent work spans adaptive neural networks, privacy-preserving surveillance, UAV hyperspectral data analysis, and computational fairness in AI systems. He leads research initiatives within the Internet Technology and Data Science Lab (IDLab) and contributes to educational programs in software engineering and applied machine learning. Responsible for courses on software engineering, mobile development, system design, and applied machine learning Active in edge computing and neuromorphic algorithms research Develops AI solutions for robotics, surveillance, and industrial IoT applications

Peter Bienstmanمشاهده پروفایل

استاد

• Photonics
• Neuromorphic computing
• Nanophotonics
• +۱۱ مورد دیگر

Peter Bienstman is a full professor at Ghent University, working in the Department of Information Technology (INTEC) where he has been since 1997. He is affiliated with the Photonics Research Group and also collaborates with imec. His research spans nanophotonics, neuromorphic computing, and biosensing applications. Bienstman received his electrical engineering degree from Ghent University in 1997 and completed his Ph.D. at the same institution in 2001. His doctoral work focused on "Rigorous and efficient modelling of wavelength scale photonic components." His research interests primarily revolve around nanophotonics and its applications, with specific focus areas including: Photonic Reservoir Computing for neuromorphic information processing Optical label-free biosensors based on ring resonators TE/TM biosensors for measuring conformational changes SiN biosensors operating in the visible spectrum Optical spiking neurons and neuromorphic architectures Nanophotonic information processing systems Analysis of his recent publications reveals a strong focus on advancing photonic reservoir computing for practical applications, particularly in communications signal processing and biomedical sensing. His work demonstrates how photonic systems can implement neuromorphic computing paradigms with energy efficiency advantages over traditional electronics. Recent trends show increasing integration of phase-change materials and exploration of quantum-inspired photonic computing approaches. Bienstman has received significant recognition for his work, most notably an ERC Starting Grant for the Naresco-project: "Novel paradigms for massively parallel nanophotonic information processing." This prestigious European grant supports his innovative research at the intersection of photonics and computing. As an advisor, Bienstman has supervised numerous doctoral students to completion and currently mentors a large research group with nine active PhD students and two postdoctoral researchers. His research is supported by multiple grants that enable the development of novel photonic computing architectures and biosensing platforms. The group's work bridges fundamental photonics research with practical applications in communications, healthcare, and computing. The Photonics Research Group at Ghent University, where Bienstman works, maintains state-of-the-art facilities for nanophotonic device design, fabrication, and characterization. The group collaborates extensively with imec and other international research institutions, creating a vibrant ecosystem for advancing photonic technologies from fundamental research to potential commercial applications.

• Optical Fibre Communications
• Passive Optical Networks (PON)
• Burst-Mode Receivers
• +۳ مورد دیگر

Gertjan Coudyzer is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture , working within the Department of Information Technology (EA05) and affiliated with IMEC. His work focuses on optical receiver design, burst-mode signal processing, and passive optical network (PON) systems. Key research areas: Optical Fibre Communications, Burst-Mode Receivers, and Photonic Integrated Circuits Recent publications highlight advancements in high-speed optical transceivers , PAM-4 signaling , transimpedance amplifier design , and neuromorphic photonic functions . His work addresses critical challenges in next-generation PON systems, including upstream distortion mitigation , metro/access network convergence , and low-latency optical switching . Collaborative projects span hardware design, system integration, and optical-electronic co-design. As PhD supervisor for Cheng Wang (2021-2025), he leads research on Optical I/O Front-Ends for Low-Latency Optical Switched Networks . Funding sources include regional Special Research Fund grants for projects like Burst-mode partial response compensating techniques for next-generation optical access networks (2015-2019).

Dick Botteldoorenمشاهده پروفایل

استاد

• Acoustic Modeling
• Noise Mapping
• Environmental Sensor Networks
• +۸ 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.

Joni Dambreمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Embedded AI
• +۵ مورد دیگر

Joni Dambre is a full-time tenured Professor at Ghent University leading the AIRO research group within the Internet Technology and Data Science Lab (IDLab). She transitioned from digital hardware research to machine learning in 2008 after earning her MSc and PhD in Electrical and Computer Science Engineering from Ghent University. Her educational background includes: MSc in Electrical Engineering from Ghent University PhD in Computer Science Engineering from Ghent University Professor Dambre's research spans machine learning, deep learning, embedded AI implementations, robotics, and brain-inspired unconventional computing. Her work uniquely bridges theoretical foundations with practical applications, evidenced by her team's competitive success in Kaggle competitions. Key thrusts include photonic reservoir computing, sign language technology development, and human-AI interaction studies, with emphasis on both hardware-efficient implementations and societal impacts. Recent publications (2023-2025) reveal strong interdisciplinary convergence, merging machine learning with photonics for unconventional computing architectures while advancing sign language translation through projects like SignON. A notable trend involves expanding from technical implementations to human-centric AI research, including studies on human alignment with large language models and societal implications of AI deployment. No major scientific awards were mentioned in the provided text. Although specific student names were not listed, Professor Dambre leads the AIRO group and serves as principal investigator for significant projects including SignON and cREAtIve, indicating active research supervision and substantial grant funding from both academic and industry sources. The AIRO research group maintains a dual focus on foundational theory and real-world applications, with active projects spanning photonic neural networks for telecommunications, sign language recognition systems, and robotics platforms. Their work demonstrates consistent innovation in translating brain-inspired computing concepts into practical solutions while maintaining strong industry partnerships and competitive performance in applied machine learning challenges.

Bart Dhoedtمشاهده پروفایل

استاد

• Distributed Machine Learning
• Edge Computing
• Neuromorphic Computing
• +۲ مورد دیگر

Bart Dhoedt is a Professor at Ghent University's Department of Information Technology, affiliated with the Internet Technology and Data Science Lab (IDLab). He teaches courses on algorithms, advanced programming, software development, and distributed systems. His research bridges distributed machine learning, edge computing, and hardware-efficient AI. Research interests focus on Distributed Machine Learning (parallel processing across systems), Edge Computing (decentralized data processing), Neuromorphic Computing (brain-inspired hardware), Sensor Fusion (multimodal data integration), and Representation Learning (efficient feature extraction). Recent publications emphasize active inference, robotic navigation, and object-centric AI. Publications (2017-present) show strong trends in robotic autonomy (navigation, manipulation), active inference (Bayesian modeling), and multimodal world models , with applications in industrial automation and cognitive systems. No awards or grants are documented. He leads research at IDLab, collaborating on embedded AI and distributed systems. No advised students or external affiliations are mentioned.

• Neuromorphic Engineering
• Computational Neuroscience
• Brain-Inspired Computing
• +۲ مورد دیگر

Alessio Franci is Lecturer in Electrical Engineering and Computer Science at the University of Liege, where he co-founded the ULiege Neuroengineering Lab. His research bridges mathematics, neuroscience and engineering through brain-inspired computing paradigms. Funded by a WEL-T Starting Grant, his work develops neuromorphic controllers and biomorphic systems for robotics and intelligent sensing. Research explores: neurocomputational principles of decision-making; neuromodulation in adaptive systems; and degenerate coding in neural circuits. Publications apply nonlinear dynamics to opinion formation, neural coding, and neuromorphic hardware design, demonstrating consistent innovation in theoretical frameworks. Honors include the WEL-T Starting Grant supporting his investigations into neuronal degeneracy and physiological mechanisms. Current work emphasizes real-world applications in robotics through spiking neural controllers and embodied neuromodulation strategies.

• Engineering and technology
• Computer hardware
• Computer theory
• +۳ مورد دیگر

Joris Van Kerrebrouck is a postdoctoral researcher at Ghent University within the Faculty of Engineering and Architecture , affiliated with the Department of Information Technology (EA05) . His work focuses on high-speed optical and electronic systems. Research Themes: Silicon photonics, radio-over-fiber technology, neuromorphic photonic circuits, heterogeneous integration, and millimeter-wave communication systems. Key Contributions: Development of ultra-high bandwidth modulator drivers, Tb/s optical transceivers, programmable photonic neurons, and advanced beamforming networks. Collaborations: Active partnerships with IMEC, academic institutions, and industry leaders in photonics and semiconductor technologies. Technical Expertise: SiGe BiCMOS, III-V integration, micro-transfer printing, and optical-electrical co-design.

Flavio Abreu Araujoمشاهده پروفایل

استاد

• Spintronics
• Neuromorphic Computing
• Magnetic Nanowires
• +۵ مورد دیگر

Flavio Abreu Araujo is a Professor at the Université catholique de Louvain in Belgium, affiliated with the School of Engineering (EPL) and the Institute of Condensed Matter and Nanosciences (IMCN) under the Bio and Soft Matter (BSMA) unit. His research focuses on spintronics , neuromorphic computing , and magnetic nanowire networks , contributing to thermoelectric devices, vortex oscillators, and reservoir computing. Education : Doctorate in Engineering Sciences (2015) Civil Physics Engineer (2010) His research interests span spintronic devices , neuromorphic hardware , and flexible thermoelectric systems , with significant work on 3D interconnected nanowire networks and magnetic potential energy modeling . Recent publications highlight machine learning integration in spintronic simulations and nonlinear dynamics in coupled oscillator systems. Scientific awards and students are not explicitly listed in the provided data. His lab at BSMA explores magnetic nanostructures and nanotechnology-ready computing , emphasizing micromagnetic studies and experimental spintronic applications .

• Legged Robotics
• Biomechanics
• Robot Locomotion
• +۳ مورد دیگر

Dr. Alexander Badri-Spröwitz is an Associate Professor at the Department of Mechanical Engineering , KU Leuven . He leads research in legged robotics, biomechanics, and bio-inspired actuation systems. Promotor: Simulation and control of legged robots (2025-2029) Promotor: Legged robot locomotion on natural soft terrain (2025-2027) Promotor: Modular legged robots in human-made/natural environments (2024-2028) Co-promotor: Symbol Synchronous Networking for Robotics (2024-2028) His research focuses on dynamic locomotion control , passive actuation systems , and neuromechanical coupling , with applications in terrain adaptation and human-robot interaction. Recent work explores muscle reflexes, compliant mechanisms, and bio-inspired diaphragm actuators. Publications analyze trade-offs in legged locomotion efficiency, passive spring-tendon systems for walking robots, and neuromorphic control strategies in Nature Machine Intelligence , Scientific Reports , and IEEE conferences. He teaches courses in Embedded Control Systems and Advanced Robot Control Systems at KU Leuven's Faculty of Engineering Science.