Dr. Ruben Taelman is a Senior Postdoctoral Fellow at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and Information Systems. His research focuses on decentralized web technologies, knowledge graphs, and query optimization in distributed environments. FWO Senior Postdoctoral Fellow (2023–2026) Research Foundation - Flanders (FWO) funding recipient Co-promotor for multiple PhD projects Key research areas include decentralized knowledge graph querying, adaptive query planning, and semantic web technologies. His work has produced groundbreaking publications on traversal-based query execution, link prioritization metrics, and personalized data vaults. Recent publications highlight: 2025: Incremental view maintenance in decentralized environments 2025: Restart-based query planning for link traversal 2024: Shape-driven optimization and Bloom filter applications 2023–2024: Reinforcement learning for SPARQL optimization and decentralized healthcare applications
Isabelle LINDEN is a Professor in Information Management at the University of Namur (UNamur), affiliated with the School of Management and the Department of Management Sciences . She leads research within the Namur Digital Institute (NADI) and Management of Information and Digital Transformation (MIND IT) research groups, while also collaborating with the Research Group on the Foundations of Computer Science (FOCUS) . Ph.D. in Computer Science (FUNDP 2007) Master in Computer Science (FUNDP 2002) Master in Philosophy (ULg 1999) Master in Mathematics (ULg 1995) Her research focuses on Knowledge Representation , Decision Support Systems , and Business Intelligence , with key projects exploring: Temporal coordination languages (semantics, expressiveness) Expert systems in legal and logistics domains Interactive visualizations preserving textual polysemy Data culture models for local governments Recent collaborative work includes projects like CYBEREXCELLENCE (cybersecurity), ARIAC (trusted AI), and GenQuAD (anomaly detection in industry 4.0), funded by Walloon Region and DigitalWallonia4.AI initiatives.
Tom Barbette is an Assistant Professor in the Computer Engineering Center (INGI) department at the Louvain Polytechnic School (EPL) of Université catholique de Louvain (UCLouvain), Belgium. He leads the Efficiency of Networked Systems Group , focusing on programmable networks, SmartNICs, NFV, data-centers, and high-speed packet processing. PhD (2018) from Université de Liège (advisor: Laurent Mathy) Post-doctoral research at KTH, Sweden (2018-2021) and UCLouvain (2021-2022) His research explores redefining internet communication paradigms through programmable infrastructure like SmartNICs and P4. Key themes include: High-speed networking and load-balancing Sub-atomic communication models for disaggregated systems KERNEL bypass techniques for performance optimization He has contributed to major conferences like SIGCOMM, NSDI, and CoNEXT, with patents on network interface optimization. His group collaborates on projects such as: ASNI (SmartNICs programming interface) HIRT (High-speed Forward Erasure Correction) Reframer (Network stream optimization)
Mostafa Ezeldeen is a Clinical Lecturer at the Faculty of Medicine, KU Leuven, and a Post-doctoral fellow at the OMFS-IMPATH research group. He specializes in pediatric dentistry and special dental care, practicing at UZ Leuven and in private practice. His research integrates clinical dentistry with advanced technologies like AI, 3D bioprinting, and biomaterials to develop regenerative therapies for dental tissue loss in children and adolescents. Education: Bachelor of Dental Medicine and Surgery (2007), Mansoura University, Egypt Master in Dentistry, Summa cum laude, KU Leuven, Belgium Master of Oral Health Research (2010), KU Leuven Specialization in Paediatric Dentistry and Special Dental Care (2012), KU Leuven Postgraduate diploma in Advanced Medical Imaging (2013), KU Leuven PhD (2021), "Dental tissue regeneration in children: can we mimic nature?" Research Interests: His work is at the intersection of clinical dentistry, immune-modulation, and biomaterials engineering . Key areas include: AI-driven CBCT image analysis for tooth segmentation and treatment planning 3D bioprinting of dentoalveolar tissues Regenerative endodontics and pulp tissue engineering CBCT-guided tooth autotransplantation Immunomodulatory scaffolds for dental tissue regeneration Scientific Awards: 1st place research award, International Association of Dental Traumatology (2014) Journal of Endodontics Award – Best Clinical Research Article (2016) Belgian Albert Joachim Award in Odontostomatology (2018) Journal of Endodontics Award – Best Regenerative Endodontics Article (2022) Research Projects & Funding: He serves as a co-promoter on multiple high-profile projects funded by national and international agencies, including: ENDO-AID: AI-based low-dose 3D imaging for personalized endodontic care DREIMS: Dental tissue regeneration via bioengineered immunomodulatory scaffolds Vital Pulp Therapy (VPT) for irreversible pulpitis 3D printing applications in biomaterial research EVs and exosomes from mesenchymal stem cells for TMJ regeneration Clinical & Academic Roles: In addition to his research, he teaches a wide range of courses in pediatric dentistry, endodontics, and special care dentistry at KU Leuven. He is also a practicing pediatric dentist at UZ Leuven, integrating clinical expertise with translational research.
Fabian Kloosterman is a Lecturer at KU Leuven's Laboratory for Biological Psychology, with additional affiliations at the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His research focuses on the neural mechanisms underlying spatial navigation and memory processes. His research interests center on understanding brain circuit function in spatial navigation and memory. Using advanced electrophysiological and biochemical approaches in rodent models, Kloosterman investigates hippocampal-prefrontal interactions, spatial coding mechanisms along neural axes, and the role of neural oscillations in cognitive processes. His work bridges systems neuroscience with technological innovation in neural recording methodologies. Analysis of his recent publications reveals a strong focus on spatial coding mechanisms, particularly in the hippocampus and connected structures. His research employs high-density neural probes and optogenetic techniques to investigate how brain circuits process spatial information and support memory functions. A recurring theme involves examining the relationship between neural oscillations (particularly theta rhythms and sharp-wave ripples) and cognitive processes. Kloosterman actively supervises doctoral candidates, with several students completing PhD theses under his guidance on topics related to spatial coding, memory systems, and neural circuit function. His research is supported by multiple active grants through KU Leuven's research portal, including projects investigating cognitive flexibility, retrosplenial cortex function, and hippocampal-prefrontal interactions. He leads research within the Laboratory for Biological Psychology, focusing on neural circuit mechanisms of cognition. His team employs cutting-edge electrophysiological techniques combined with behavioral paradigms to investigate how distributed brain networks support spatial navigation and memory processes.
Pierre Duysinx is a Full Professor and Vice-Rector for Mobility and International Affairs at the University of Liège , affiliated with the Faculty of Applied Sciences and Department of Aerospace and Mechanics . His research focuses on Structural and Multidisciplinary Optimization , Mechanical Engineering , and Additive Manufacturing , with applications in aerospace and automotive technologies. His work emphasizes stress-based topology optimization , fatigue resistance , and manufacturing-constrained design . Recent publications highlight innovations in electric vehicle systems, microstructural design, and 3D printing optimizations. He has developed frameworks for multi-material distribution and robust design methodologies. Professor Duysinx teaches courses in Mechanical Design Industrial Automation Vehicle Dynamics and leads research projects in lightweight material applications and sustainable mobility solutions.
