Find Academic Supervisors

• Antenna Design
• Wireless Communication
• Microwave Engineering
• +4 more

Kamil Yavuz Kapusuz serves as a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture within the Department of Information Technology (EA05) and as a Postdoctoral Assistant at IMEC. His research focuses on advanced antenna systems for next-generation wireless communication networks, with particular expertise in substrate-integrated waveguide technology and terahertz applications. Dr. Kapusuz's research interests center on antenna design for emerging communication technologies, specializing in substrate-integrated waveguide (SIW) systems, terahertz and millimeter-wave communications, and medical implantable antennas. His work bridges theoretical electromagnetic principles with practical implementation challenges in 5G/6G networks, satellite communications, and wireless medical devices. He has developed innovative approaches for camera-integrated antennas for wireless capsule endoscopy and metal-free continuous transverse stub arrays for sub-terahertz applications. Analysis of his recent publications reveals a strong focus on solving practical engineering challenges in high-frequency wireless systems. His work demonstrates consistent progression from foundational SIW research toward increasingly sophisticated applications in terahertz communications, medical devices, and smart surfaces. Key trends include miniaturization of antenna systems, integration with imaging technology, development of reconfigurable matching networks, and innovative array configurations for beyond-100 GHz communication systems. Kamil Yavuz Kapusuz is currently leading research as a Fellow on the project 'Design, Implementation and Validation of Metal-Free Continuous Transverse Stub (CTS) Arrays for Sub-Terahertz and Terahertz Wireless Communication Systems' (2024-2027), funded by Regional and community funding: Special Research Fund. He previously completed his doctoral research on 'Innovative Substrate-Integrated-Waveguide-Based Antenna Systems for the Fifth-Generation Wireless Communication Network' (2017-2021) at Ghent University.

• Swarm Robotics
• Collective Intelligence
• Artificial Intelligence
• +4 more

Dr. Yara Khaluf is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology, with a focus on swarm robotics and collective intelligence. Her work explores: Swarm intelligence algorithms for foraging and path navigation Time perception modulation in human-AI interaction Scale-invariant dynamics in collective decision-making Multi-robot shepherding systems Research Trends : Her publications demonstrate interdisciplinary work combining robotics, cognitive science, and environmental modeling, with emphasis on decentralized control systems, temporal cognition applications, and bio-inspired swarm algorithms. Collaborative Network : She works extensively with Prof. Pieter Simoens and other researchers across topics like: Collective foraging optimization Swarm behavior modeling Human-robot time synchronization Environmental interaction algorithms

Tom BraeckeveltView profile

Research Fellow

• Materials Science
• Perovskite Solar Cells
• Computational Chemistry
• +3 more

Tom Braeckevelt is a Research Fellow at Ghent University, Belgium, working within the computational materials science group led by Prof. Veronique Van Speybroeck. Based at Tech Lane Ghent Science Park (Technologiepark 46, Zwijnaarde), he collaborates extensively with experimental teams including Prof. Johan Hofkens (photophysics) and Prof. Sara Bals (electron microscopy), bridging theoretical modeling with advanced characterization techniques to solve stability challenges in next-generation photovoltaics. Education: PhD in Materials Science, Ghent University (2018). Dissertation: Designing 2D hybrid organic-inorganic perovskites for game-changing photovoltaics , supervised by Prof. Veronique Van Speybroeck and Dr. Kurt Lejaeghere. His research centers on perovskite stability mechanisms through multiscale computational modeling (DFT, machine learning potentials, molecular dynamics) integrated with experimental validation (TEM, GIWAXS, spectroscopy). Key focus areas include phase transition kinetics, strain engineering, doping strategies, and interfacial design for cesium lead halide perovskites. This work addresses critical barriers to commercial solar cell deployment, particularly ambient-condition stability and efficiency retention. From 2019-2025, Dr. Braeckevelt co-authored 13 high-impact publications including Science (2019), Nature Communications (2022), and ACS Nano (2025), demonstrating progression from fundamental phase transition studies to machine learning-enhanced stability solutions. Recent work expands into covalent organic frameworks and rare-event sampling algorithms, reflecting methodological diversification while maintaining photovoltaic applications as the core driver. No scientific awards or fellowships were documented in the source materials. Supported by institutional research grants at Ghent University, Dr. Braeckevelt has presented findings at 8+ international conferences including PSCO19 (Lausanne), ICAMM (Rennes), and DFT2022 (Brussels). His invited talk at the 2025 Eindhoven Psiflow workshop highlights growing recognition in machine learning for perovskites. No student supervision roles were indicated in current position. He operates within Ghent's integrated materials research ecosystem, contributing to cross-disciplinary projects that combine computational prediction with nanoscale characterization to accelerate renewable energy technology development.

David GossetView profile

Associate Professor

• Quantum Computing
• Quantum Algorithms
• Quantum Complexity Theory
• +3 more

David Gosset is an Associate Professor in the Department of Combinatorics and Optimization at the University of Waterloo, with affiliations at the Institute for Quantum Computing (IQC) and the Perimeter Institute for Theoretical Physics. He holds a PhD in Physics from MIT (2011) under Edward Farhi and completed postdoctoral studies at IQC/Waterloo and Caltech. His research focuses on quantum computing theory, quantum algorithms, and quantum complexity theory, with contributions to classical simulation of quantum systems and quantum advantage demonstrations. Prior to academia, he was a research staff member and manager of the Theory of Quantum Algorithms group at IBM’s T.J. Watson Research Center. His work has been recognized with the Pat Goldberg Memorial Best Paper Award (2016, 2018) and the Outstanding Paper Award at TQC 2019. He is also a CIFAR Fellow in Quantum Information Science. Key research interests include quantum algorithms for optimization and simulation, entanglement theory in many-body systems, and computational complexity of quantum problems. His interdisciplinary approach bridges theoretical physics, computer science, and mathematics. Education: PhD in Physics, MIT, 2011 Bachelor’s in Physics and Mathematics, UBC Awards: CIFAR Fellow (Quantum Information Science) Pat Goldberg Memorial Award (IBM, 2016 and 2018) TQC 2019 Outstanding Paper Award His research group explores foundational questions in quantum computing, including the development of efficient classical algorithms for quantum problems and the delineation of quantum computational advantages. Notable contributions include work on shallow quantum circuits, stabilizer rank, and frustration-free spin systems.

Stephen MelczerView profile

Associate Professor

• Enumerative Combinatorics
• Analytic Combinatorics
• Algebraic Geometry
• +3 more

Stephen Melczer is an Associate Professor in the Department of Combinatorics and Optimization at the University of Waterloo, with a cross-appointment in the School of Computer Science. His research focuses on analytic combinatorics in several variables (ACSV) and its applications to combinatorics, computer science, and mathematics. He holds doctorates from École normale supérieure de Lyon and the University of Waterloo (2017). Previously, he was a CRM-ISM postdoctoral fellow at UQAM (2019–2020) and a postdoc at the University of Pennsylvania (2017–2019). His research interests include leveraging computational algebraic geometry, analysis, and topology to develop tools for enumerative combinatorics. He has authored three books, including An Invitation to Analytic Combinatorics and Analytic Combinatorics in Several Variables , and has contributed to over 30 peer-reviewed publications. Notably, his work has resolved conjectures in lattice path enumeration and advanced algorithmic methods in symbolic computation. Melczer actively serves on academic committees such as the CanaDAM Executive Committee and the AofA Steering Committee. He co-chaired the AofA 2025 conference and organized workshops at prestigious venues like the Fields Institute. His students include Jeremy Chizewer, recipient of the 2024 Governor General Gold Medal. He has received the Governor General Silver Academic Medal and frequently collaborates with researchers globally, contributing to conferences like FPSAC and SIAM Applied Algebraic Geometry. His research group develops computational tools, including the sage_acsv package, to rigorously analyze combinatorial structures.

• Robotics
• Control Systems
• Predictive Control
• +6 more

Jan Swevers is a Full Professor at KU Leuven , affiliated with the MECO Research Team . His work focuses on predictive control, sensor-based robotics, and optimal motion planning, with applications in autonomous systems, industrial robotics, and aerospace engineering. Research Interests : Predictive control (Model Predictive Control, Iterative Learning Control), sensor-based robotics (surface following, cable shaping), optimal motion planning (Reeds-Shepp algorithms, time-optimal interception), and constraint handling in robotics. Publications : Recent work explores deformable object dynamics, autonomous surface vessel navigation, and computational efficiency in optimal control. Key trends include integrating predictive control with real-time estimation, simplifying complex environments via constraint reduction, and advancing human-like autonomous driving through imitation learning. Advising : Supervised PhD theses on topics like constraint-based robot programming, motion planning, and predictive control for sensor-based tasks. Labs : Leads the MECO Research Team at KU Leuven, focusing on control systems, robotics, and optimal planning.

• Computer Science
• Coordination Languages
• Programming Languages
• +5 more

Jean-Marie Jacquet is a Full Professor in the Faculty of Computer Science at the University of Namur, where he has maintained an active research and teaching career since completing his Doctor of Science degree in 1989. His academic home spans multiple research institutes including the Namur Digital Institute (NADI), Namur Research Institute for Life Sciences (Narilis), and the Research Group on the Foundations of Computer Science (FOCUS). His research interests center on computer science fundamentals with particular expertise in coordination languages, programming language theory, and formal methods. His fingerprint analysis reveals strong engagement with data structures, language expressiveness, implementation techniques, and modeling approaches. He has developed significant expertise in the Bach coordination language and its applications. His recent publication trajectory shows consistent output in programming language design and analysis, with a clear focus on the Bach language ecosystem. His work bridges theoretical computer science with practical implementation concerns, particularly in the areas of expressiveness, efficiency, and security. Recent publications demonstrate his ongoing contributions to language design and tool development. Professor Jacquet actively participates in major research initiatives including the CyberExcellence project (2023-2028), CYBEREXCELLENCE cybersecurity initiative (2022-2027), and the ROBIN biological pipeline reconstruction project (2021-2022). His collaborative approach is evident in his participation in numerous workshops and conferences related to cybersecurity and programming languages. He leads and contributes to multiple research teams focusing on digital technologies, life sciences computing, and foundational computer science. His laboratory work centers on language design and implementation, particularly through the development of the Bach coordination language ecosystem and related tools like Anemone and B2Scala.

• Structural Optimization
• Disasters
• Genetic Algorithm
• +8 more

Aushim Koumar is a Visiting Professor in the Department of Mechanics of Materials and Constructions at Vrije Universiteit Brussel, Belgium. His academic work focuses on structural engineering and sustainable design, with a strong emphasis on transformable and adaptable structures. Research interests include Structural optimization Genetic algorithms Post-disaster relief shelters Circular economy in building design Kinematic analysis Research trends from his publications highlight advancements in scissor structures, applications of genetic algorithms for computational modeling, and innovations in materials science for sustainable and circular building economies. Key themes also include disaster resilience and mobile infrastructure design. Scientific awards include Laureate ie-price 2012 (Infrastructure and Mobility category) Millennium Development Goal Award 2012 (VUB) As an active researcher, Koumar has presented at international conferences including the IASS Symposium and European Development Days, with peer-reviewed publications and scholarly editions contributing to structural engineering discourse.

• Software Engineering
• Formal Methods
• Autonomous Systems
• +3 more

Eduard Baranov is a Visiting Lecturer and Research Assistant at the Université catholique de Louvain, affiliated with the Louvain Polytechnic School (EPL) through the Computer Engineering Center (INGI) under the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM). His work bridges academic research with industrial applications. Research Interests : Software engineering, formal methods, cybersecurity, autonomous systems, and model checking. His focus spans scalable coverage estimation, secure healthcare systems, and statistical validation of privacy protocols. Publications : Recent work includes t-wise coverage algorithms for software testing, formal verification of multi-agent autonomous systems, and privacy-preserving frameworks aligned with GDPR standards. His research often integrates symbolic execution and statistical model checking. Collaborations : Collaborates with researchers like Axel Legay, Kuldeep S. Meel, and Thomas Given-Wilson, contributing to journals such as IEEE Transactions on Software Engineering and ACM Transactions on Software Engineering and Methodology. Contact : Email: eduard.baranov@uclouvain.be | Office: INGI - Réaumur, L5.02.01, Place Sainte Barbe 2, 1348 Louvain-la-Neuve.

Pieter VansteenwegenView profile

Professor

• Public Transportation Optimization
• Metaheuristics
• Demand-Responsive Transport Systems
• +4 more

Prof. Pieter Vansteenwegen is a full professor at KU Leuven's Faculty of Engineering Science, leading the Centre for Industrial Management/Traffic and Infrastructure (CIB) and chairing the KU Leuven Institute for Mobility (LIM). With a PhD in Operations Research (2008), he works on robust public transport systems, metaheuristics for logistics, and demand-responsive mobility solutions. Chair, KU Leuven Institute for Mobility Program Director, Master of Mobility and Supply Chain Engineering Board member, International Association of Railway Operations Research His research integrates transportation engineering , logistics optimization , and smart mobility systems , focusing on: Demand-responsive public transportation Metaheuristic algorithm development Inventory routing problems Smart waste collection strategies Multi-robot scheduling Recent publications demonstrate expertise in variable neighborhood search , Benders decomposition , and genetic algorithms applied to public transport, satellite scheduling, and circular economy logistics. His work has been cited over 9,400 times (Google Scholar H-index 51). Scientific recognition includes: Multiple IAROR best paper awards Best Reviewer European Journal of Operational Research BIVEC-GIBET PhD awards (2009, 2021, 2023) RASIG-INFORMS Student Paper Prizes He directs KU Leuven's Planning and Operational Research subdivision , serves on faculty councils, and founded spin-off dyNAVic for electronic tourist guides. His teaching portfolio includes courses in Public Transportation Design , Distribution Logistics , and Operational Management .

• Robotics
• Mechatronics
• Wearable Technology
• +6 more

Dino Accoto is a Professor at the Faculty of Engineering Technology , KU Leuven , affiliated with the Department of Mechanical Engineering and Robotics, Automation and Mechatronics (RAM) unit across Ghent and Aalst campuses. His research spans robotics , mechatronics , and assistive technologies , focusing on human-robot collaboration , wearable devices , and haptic interfaces . Projects include PREXCOM for safety in human-robot interaction and H2XO for haptic human-robot observers Recent work explores mechanical metamaterials for tremor damping and soft robotics for stroke rehabilitation His publications in journals like Soft Robotics and Sensors highlight expertise in biomechatronic design , structural health monitoring , and smart material applications . He teaches courses in Intelligent Machines and Digital Control , and contributes to LIM - KU Leuven Institute for Mobility as a council member.

• Logistics
• Urban Freight Modelling
• Agent-Based Simulation
• +3 more

Johan Joubert is a Professor at the Department of Mechanical Engineering , Faculty of Engineering Science , KU Leuven. His academic roles include leadership as Head of the Subdivision Logistics and Optimization. He actively contributes to research and teaching in logistics, urban freight modelling, and agent-based simulation. Academic Affiliation: Department of Mechanical Engineering, KU Leuven Leadership: Head of Subdivision Logistics and Optimization Research Collaborations: Member of LIM - KU Leuven Institute for Mobility His research focuses on logistics sprawl , urban freight dynamics , and agent-based simulation for travel behavior. Recent projects include Waste logistics in urban freight (2024-2028) and STRUAAS (2024-2026), emphasizing sustainable urban supply chains and operations research. Key publications span transport geography , network analysis , and driver risk evaluation . Examples include Logistics sprawl and freight activity dynamics (2022) and Accessibility in Post-Apartheid Cities (2018). His work integrates geospatial data, behavioral models, and sustainability metrics. Teaching involves courses like Supply Chain Engineering (H08J0A) and Multi-Agent Systems (H02H4A), supported by DataCamp for data science integration. Engagement includes mentoring students and industry collaborations through KU Leuven’s mobility research networks.

• Reliability of Mechanical Systems
• Structural Dynamics
• Uncertainty Quantification
• +3 more

David Moens is Full Professor and Chair of the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Technology. He leads the Mecha(tro)nic System Dynamics (LMSD) research group at De Nayer Campus, where his research focuses on reliability engineering, structural dynamics, and computational mechanics. Moens serves in multiple leadership roles including membership in the university's Research Policy Council and heads Subdivision 10 of the De Nayer Campus. His research integrates computational mechanics with uncertainty quantification methods to address challenges in mechanical system reliability. Primary research domains include: Non-deterministic numerical analysis techniques for structural systems Fatigue and lifetime prediction methodologies Spatial uncertainty quantification in composite materials Physics-informed machine learning for engineering applications Robust design optimization under uncertainty Moens' recent publications demonstrate strong emphasis on computational uncertainty frameworks with applications spanning composite pressure vessels, manufacturing process twins, and neural network uncertainty estimation. Research consistently intersects finite element analysis, experimental validation, and emerging machine learning techniques to solve reliability challenges in mechanical systems. He leads significant research initiatives including RISQ (Random and Interval Spatial Uncertainty Quantification, 2025-2027) and projects on hydrogen storage vessel reliability (2024-2028). As primary supervisor for multiple PhD candidates, Moens actively contributes to academic training through courses including Reliability of Mechanical Systems, Dynamic Behavior of Machines, and Design for Safety and Reliability.

Mostafa EzeldeenView profile

Academic

• Dental tissue regeneration
• Biomaterials engineering
• Artificial intelligence in dentistry
• +7 more

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.

• Human Health Engineering
• Wearable Technology
• Precision Livestock Farming
• +3 more

Jean-Marie Aerts is a full professor and department chair at the Department of Biosystems within the Faculty of Bioscience Engineering at KU Leuven . He serves as chairman of the Leuven Center for Medical Technology and division head of Bio-Environmental Control and BioAsyst Division . Active member of multiple institutes including DigiSoc – KU Leuven Institute for Digital Society , iSi Health , and Leuven One Health . Head of M3-BIORES research group Chair of Departmental Council for Biosystems Researcher at Animal and Human Health Engineering division His research focuses on Human Health Engineering , with recent projects like WeCARE (wearable technology for childhood cancer care), StressTRACS (stress tracking with wearables), and Precision Biomanufacturing of Joint Implants . Publications span biomedical engineering, movement disorders, and sports performance optimization. Recent article trends show emphasis on machine learning for movement analysis , wearable sensor validation , and cross-sector health technology applications in Parkinson's disease, cerebral palsy, and athlete monitoring.