جست‌وجوی استاد و پژوهشگر

Omar Hegazyمشاهده پروفایل

استاد

• Power Electronics Systems
• Electric Vehicles
• Battery Management Systems
• +۷ مورد دیگر

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

• Electrochemical kinetics
• Thermodynamics of aqueous solutions
• Electrode processes
• +۷ مورد دیگر

Annick Hubin is a Professor in the Department of Sustainable Materials Engineering at the Faculty of Engineering, Vrije Universiteit Brussel. She serves in additional leadership roles including R&D Central management and as Head of a Research Group. Her work focuses on electrochemical processes with applications in materials engineering, corrosion science, and sustainable technologies. Her research interests span electrochemical kinetics, thermodynamics of aqueous solutions, electrode processes, electroreduction of metals and alloys (plating, extraction, refining, recycling), and environmental electrochemistry. She specializes in investigating basic electrochemical reactions using techniques such as potentiometric titrations, voltammetry, chronoamperometry, chronopotentiometry, and impedance measurements. Her work also examines mass transport in electrochemical processes and the action of organic inhibitors for metal deposition or dissolution reactions. Her recent publications reveal a strong focus on corrosion science, battery technologies, and electrochemical materials. There is a clear trend toward applying advanced characterization techniques and machine learning to solve complex problems in electrochemistry and materials science. Her research increasingly addresses sustainability challenges, particularly in battery technology and low-carbon solutions. Professor Hubin actively supervises doctoral students and participates in numerous research projects, demonstrating her commitment to mentoring the next generation of scientists and engineers. She has secured substantial research funding for projects spanning fundamental and applied research in materials engineering. She leads or participates in several significant research initiatives including DESTINY (Low-carbon solutions network), fundamental research on sulfide-based all-solid-state batteries, and projects focused on atmospheric corrosion prediction using machine learning. Her laboratory appears to specialize in electrochemical characterization and materials development for energy applications.

• Wireless Networks
• Time-Sensitive Networking (TSN)
• WiFi and UWB Integration
• +۷ مورد دیگر

Jetmir Haxhibeqiri is a Postdoctoral Researcher at Ghent University 's Faculty of Engineering and Architecture , Department of Information Technology. His work focuses on Time-Sensitive Networking (TSN) over wireless systems, WiFi optimization, and Industrial IoT solutions. Key projects: IMEC Postdoctoral Fellowship Collaborations: Jeroen Hoebeke (UGent), Ingrid Moerman (UGent), Xianjun Jiao (UGent) Research Interests : Wireless network coordination, SDN integration for heterogeneous networks, low-latency communication, and machine learning applications in network optimization. Specialized in WiFi-LPWAN coexistence , In-Band Network Telemetry , and Cross-Technology Synchronization . Recent Publications : 2025 work on Wi-Fi-UWB synchronization, 2024 studies on coordinated spatial reuse in WiFi 7, and 2022 research on hardware-efficient PTP clock synchronization. Contributions span from theoretical models to practical implementations in industrial environments. Technical Expertise : Network densification strategies, interference management, and performance evaluation of large-scale wireless deployments. Developed simulation frameworks for LoRaWAN and WiFi TSN, with a focus on ns-3 validation. Education : PhD in Industrial Wireless Communication (2019, Ghent University).

• Conspiracy Theories
• Digital Game Culture
• Religion and Media
• +۳ مورد دیگر

Stef Aupers serves as Professor of Media Culture at KU Leuven's Institute for Media Studies within the Faculty of Social Sciences. His research centers on cultural sociology of media, examining meaning production, representation, and consumption in contemporary digital cultures with particular focus on conspiracy theories, game studies, and religious mediatization. His primary research domains include: Conspiracy Theory Discourse in Digital Spaces Digital Game Culture and Social Dynamics Religion-Media Intersections Popular Culture Analysis Mediatization of Modern Myth Analysis of his 2021-2025 publications reveals consistent exploration of how conspiracy theorists construct worldviews through digital platforms, the commodification of religion in gaming ecosystems, and socio-technical exclusion mechanisms. His work demonstrates methodological sophistication in analyzing YouTube/Reddit communities, audiovisual rhetoric, and epistemological boundary work between mainstream and alternative knowledge systems. Aupers actively contributes as keynote speaker, conference organizer, and academic journal reviewer, with expertise spanning media analysis, conspiracy culture interpretation, and science-religion discourse. His research provides critical frameworks for understanding contemporary digital culture's most contentious phenomena through cultural sociological lenses.

Frederik Questierمشاهده پروفایل

پژوهشگر

• Educational Technology
• Blended Learning
• Digital Media Literacy
• +۳ مورد دیگر

Frederik Questier is a Researcher in Educational Science at Vrije Universiteit Brussel (VUB), located at Pleinlaan 2 in Brussels, Belgium. He holds a PhD in clustering and feature selection methods, demonstrated through his supervision of doctoral theses such as 'Contributions to Clustering and Feature Selection Methods for Clustering' (2005). His work focuses on educational technology, blended learning models, and international ICT initiatives in education systems. Research Interests: Questier explores the intersection of technology and education, including digital media literacy, mobile-assisted language learning (MALL), open-source software implementation, and public health education. His recent work on face masks during the COVID-19 pandemic highlights interdisciplinary collaboration between education and healthcare sectors. Projects & Grants: Active in both fundamental and applied research, he leads projects like the FOD27 e-health initiative (2016–2019) and MarMOOC (2016–2020), which developed hybrid learning systems in Moroccan universities. He also oversees Ghana's ICT education project (2013–2015) and manages international collaborations through VLIR-UOS in Ethiopia. Awards & Recognition: While no explicit awards are listed, his extensive publication record (113+ outputs) and h-index of 17 reflect peer recognition. His work on digital media literacy (2024) and MALL (2019) have garnered significant citations. Labs & Teams: Collaborates with institutions like Routledge (peer-review committee), Vlaams Forum voor Onderwijsonderzoek, and partners in Morocco, Ghana, and Ethiopia through projects addressing ICT integration in education systems.

• Edge Computing
• Distributed Systems
• Container Networking
• +۹ مورد دیگر

Tom Goethals is an FWO Junior Postdoctoral Fellow affiliated with the Department of Information Technology at Ghent University , where he conducts research in edge computing, container networking, and decentralized systems. Current role: IMEC Postdoctoral Researcher Research focus: Secure and intelligent edge service management for decentralized IoT applications His work explores edge intelligence , orchestration frameworks , and AI-driven network optimization , with trends in lightweight virtualization (e.g., Feather), Kubernetes adaptation for edge environments, and intent-based decentralized orchestration. Publications emphasize scalability, security, and energy efficiency in fog-native workflows. Scientific Awards : FWO Junior Postdoctoral Fellowship He collaborates with researchers like Bruno Volckaert and Filip De Turck on projects funded by the Research Foundation - Flanders (FWO) , including grants for edge container networking and decentralized learning frameworks. His projects align with Ghent University’s focus on smart city infrastructure and edge-to-cloud systems.

Marco Giacaloneمشاهده پروفایل

استاد پژوهشی

• Digitalisation of Legal Processes
• Private International Law
• Online Dispute Resolution (ODR)
• +۴ مورد دیگر

Marco Giacalone is a Research Professor at the Private and Economic Law Department (PREC) of the Vrije Universiteit Brussel (VUB), where he also serves as Co-Director of the Research Group on Digitalisation and Access to Justice (DIKE). He holds adjunct professorships at VUB (2018-2019) and has been a postdoctoral researcher at the Brussels Research Institute on Development, Governance, and Empowerment. His work focuses on the intersection of digital technologies and legal processes, particularly in Private International Law, ODR, and ADR. **Education**: PhD in Law (Doctor Europaeus, 2016) from VUB and University of Naples Federico II, specializing in Dispute Resolution and emerging IT realities. **Research Interests**: Digital transformation of legal systems, blockchain applications in justice, AI-driven conflict resolution, cross-border dispute mechanisms, and equitable algorithmic systems. His projects include EU-funded initiatives like CREA3 (Equitative Algorithms) and IDEA (Access to Justice tools). **Grants & Projects**: Over 10 projects funded by the EU, including EU683 (Equitative Algorithms), EU681 (IDEA), and EU676 (Digitalising Small Claims). Active in consortiums like IPSU 2022 (Digital Ius Knowledge Empowerment) and OZR4193 (VUB-UNIPARTHENOPE PhD collaboration). **Awards**: 2019 Best Paper Award and Marie Skłodowska-Curie Fellowship (2020). Extensive speaking engagements on topics like AI in judiciary, blockchain legal frameworks, and digital justice. **Labs/Teams**: Leads the DIKE Research Group and collaborates with the Brussels Research Institute. Involved in developing tools like Prodigit (digital tax justice) and CREA’s cloud-based decision support systems.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Jef Vandemeulebrouckeمشاهده پروفایل

پژوهشگر

• Medical Imaging
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Jef Vandemeulebroucke is a researcher at the Department of Electronics and Informatics , Vrije Universiteit Brussel (VUB) , specializing in medical imaging, computer vision, and augmented reality applications in healthcare. His work bridges artificial intelligence with radiology and biomechanics , focusing on automated segmentation, predictive modeling, and real-time surgical navigation systems. Research interests include: Medical image analysis for disease prognosis (e.g., COVID-19 severity , neurosurgical drains ) Development of MedShapeNet , a 3D medical shape dataset for computer vision Augmented reality systems in orthopedic and neurosurgical interventions AI-driven fluorescence endoscopy and dynamic CT for joint kinematics Key trends in his 140+ publications emphasize deep learning , image registration , and 4D-CT applications . Supervised theses include brain age prediction and chest radiography automation. Active in 38 projects (e.g., AI-NIMO , TumorScope ), he collaborates with institutions like the Universitair Ziekenhuis Brussel (UZB) and FWO (Fund for Scientific Research-Flanders).

Ingrid Moermanمشاهده پروفایل

استاد

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +۴ مورد دیگر

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

Vanessa Vermeirssenمشاهده پروفایل

استاد پژوهشی

• Systems Biology
• Bioinformatics
• Computational Biology
• +۷ مورد دیگر

Vanessa Vermeirssen is a Research Professor at Ghent University , leading the Computational Biology, Integromics and Gene Regulation (CBIGR) Laboratory and affiliated with the Cancer Research Institute Ghent (CRIG) . Her work focuses on unraveling disease mechanisms through bioinformatics, systems biology, and multi-omics integration. Specializes in gene regulatory networks , network inference , and machine learning Key application areas: neuroblastoma , glioblastoma , Alzheimer's disease , and neuroinflammation Develops tools like HTSplotter for high-throughput data analysis Research trends combine single-cell transcriptomics , multi-omics modeling , and personalized medicine approaches. Her lab applies network biology to identify therapeutic targets in complex diseases. Active in radiation-induced developmental defects and electroceutical therapies (e.g., vagus nerve stimulation) Investigates stress response networks in plants and humans

Gilles-Maurice de Schryverمشاهده پروفایل

استاد پژوهشی

• African Linguistics
• Bantu Corpus Linguistics
• Lexicography
• +۹ مورد دیگر

Gilles-Maurice de Schryver is a Research Professor of African Linguistics at Ghent University (since 2015) and an extraordinary professor at the University of Pretoria (since 2014). He holds an MSc in Microelectronic Engineering (1995), an MA (1999), and a PhD (2005) in African Languages and Cultures. His research focuses on Bantu corpus linguistics Lexicography (specializing in Swahili, Northern Sotho, Zulu, Xhosa) Artificial intelligence applications in dictionary-making Digital language technology for African languages His recent work examines the intersection of large language models (LLMs) and lexicography, including studies on Swahili corpus evolution (1999-2024) Epistemic modality in Swahili AI-driven translation equivalents Dictionary user behavior analysis Scientific contributions include Award-winning dictionaries for Northern Sotho, Zulu, and Xhosa (Oxford University Press) Leadership as past President of Afrilex (2009-2013) and EURALEX (2018-2021) Founding member of the African Language Technology group Co-facilitator of Americalex-S and Chair of Globalex

Wout Weijtjensمشاهده پروفایل

پژوهشگر ارشد

• Structural Health Monitoring
• Offshore Wind Turbines
• Fatigue Analysis
• +۲ مورد دیگر

Wout Weijtjens is a Research Fellow at Vrije Universiteit Brussel, affiliated with the Acoustics & Vibration Research Group in Applied Mechanics. His research focuses on structural health monitoring (SHM) of offshore wind turbines, fatigue analysis, and vibration-based damage detection using advanced signal processing and machine learning techniques. Current projects include FIRMEST (fatigue assessment of offshore wind turbine substructures) and FOOS (Forced Oscillations in turbines). His research interests span: Operational modal analysis for offshore structures Machine learning applications in SHM Fatigue life prediction under environmental variability Sensor networks for infrastructure monitoring Wind turbine dynamics under harsh conditions Recent publications demonstrate a consistent focus on developing predictive maintenance frameworks through multivariate sensor data analysis, uncertainty quantification in SHM systems, and validation of computational models against full-scale field measurements. Article trends emphasize machine learning integration with physical models for improved fatigue life assessment. Awards and recognitions include: Best Paper Award (2nd place, 2022) Poster Award (2017) Solvay Award (2015) As principal investigator on multiple grants including VLADBC7 and VLADBC9 projects, he supervises PhD candidates in vibration-based SHM and leads experimental validation at OWI-Lab's Large Climate Chamber. His team develops IoT monitoring solutions for civil infrastructure through the SMART TOWERS initiative.

Liane Gaboraمشاهده پروفایل

استاد

• Creativity
• Cultural Evolution
• Cognitive Science
• +۵ مورد دیگر

Liane Gabora is a Full Professor in the Department of Psychology at the University of British Columbia's Okanagan Campus, affiliated with the Irving K. Barber Faculty of Arts and Social Sciences. She holds additional research affiliations with the Australian National University's School of Music, University of Waterloo's Institute for Complexity & Innovation, and Free University of Brussels' Centre Leo Apostel for Interdisciplinary Studies. Her educational background includes a BSc from the University of Western Ontario, PhD from the Free University of Brussels, and postdoctoral positions at UC Berkeley and the Free University of Brussels. Gabora's research program explores creativity, cultural evolution, and cognitive transitions through interdisciplinary approaches. Her work examines: How concepts combine and adapt to new contexts The origins of modern cognition and human creativity Computational models of cultural evolution Quantum formalisms for concept interactions Self-Other Reorganization (SOR) theory of cultural evolution Honing theory of creativity integrating complex systems and memory Her publications demonstrate strong cross-disciplinary integration spanning psychology, physics, anthropology, and computer science. Major research awards include the 2011 Berlyne Award from the American Psychological Association for outstanding research by a junior scholar. She has secured over $1 million in funding from NSERC, SSHRC, and private donors. Gabora supervises graduate students in Psychological Science and Digital Humanities programs and leads research on cognitive transitions underlying cultural evolution. Her laboratory focuses on mathematical and computational modeling of creativity mechanisms, with ongoing projects exploring AI creativity, quantum models of cognition, and the evolution of behavioral modernity through autocatalytic network frameworks.

• Numerical Analysis
• Computational Mathematics
• High-dimensional Integration and Expectations
• +۸ مورد دیگر

Dirk Nuyens is a Senior Lecturer in the Department of Computer Science at the Faculty of Engineering Sciences, KU Leuven, Belgium. He is affiliated with the Numerical Analysis and Applied Mathematics (NUMA) research unit and is a member of the iSi Health Institute for Physics-based Modeling for In Silico Health. He also serves on the Faculty Council of Engineering Sciences and the Programme Committees for Engineering Sciences and Computer Science. Education: While specific degrees are not listed, his expertise and research output indicate advanced training in numerical analysis, computational mathematics, and applied mathematics. Research Interests: His primary research focuses on numerical analysis, computational mathematics, and quasi-Monte Carlo (QMC) methods. Specific areas include high-dimensional integration and approximation, lattice rules, low-discrepancy sequences, uncertainty propagation, and financial engineering. He develops algorithms for efficient sampling, integration, and approximation in high-dimensional spaces, with applications in uncertainty quantification, Bayesian inversion, and PDEs with random coefficients. Research Trends: His recent publications emphasize the construction and analysis of embedded lattice-based algorithms for multivariate function approximation and integration. There is a strong focus on achieving higher-order convergence rates, particularly in Korobov and Sobolev spaces, and on developing randomized lattice rules for improved error bounds. His work bridges theoretical developments in numerical analysis with practical implementations in scientific computing and engineering. Scientific Contributions: He has authored or co-authored numerous influential papers in top-tier journals such as Mathematics of Computation , Journal of Complexity , SIAM Journal on Numerical Analysis , and Journal of Computational Physics . His work on lattice rules, QMC methods, and high-dimensional integration has been widely cited and used in fields ranging from computational finance to theoretical physics. Projects and Funding: He leads or co-leads several ongoing and completed research projects funded by national and international agencies. These include projects on turbulence reconstruction from partial observations, uncertainty quantification for climate control in buildings, computational methods for infinite-dimensional Bayesian inversion, circularity improvements in scrap analysis, and ML-based sensitivity analysis. Software Development: He maintains and contributes to open-source software repositories for QMC point generation, including the Magic Point Shop and QMC4PDE projects. These provide efficient implementations of lattice and digital sequence generators in MATLAB, C++, and Python. Institutional Service: Beyond research, he contributes to academic governance through his roles in faculty and departmental councils, influencing curriculum development and strategic planning in engineering and computer science education at KU Leuven.