Find Academic Supervisors

Boris PaschkeView profile

Academic

• New Testament Studies
• Early Christian Theology
• Apocryphal Literature
• +4 more

Dr. Boris Paschke serves as a Guest Associate Professor of New Testament at the Evangelische Theologische Faculteit Leuven . Holding a Ph.D. in New Testament Studies from ETF Leuven (2009), he has been actively engaged in theological education since 2001, teaching at ETF Leuven and in public secondary schools in Brussels. Ph.D. in New Testament Studies (ETF Leuven, 2009) Licentiaat in de godgeleerdheid (M.Th., ETF Leuven, 2004) M.A. in Biblical Studies (University of Gloucestershire, 2001) Paschke's research focuses on New Testament theology , apocryphal literature , and early Christian worship practices , particularly prayer to Jesus and the Holy Spirit. His work explores intertextuality (e.g., Song of Songs in Romans 3), historical contexts (Roman censorship, slavery), and theological intersections between Christianity and Islam. Recent publications highlight trends in liturgical theology (2024 analyses of 1 Timothy 1:12 and Peräa), prayer studies (2023 essays on Tertullian and 2 Timothy 1:18), and historical criticism (2016-2022 works on Semler, Acts of John, and Philemon). He participates in multiple academic societies, including the Society of Biblical Literature and the Association pour l’étude de la littérature apocryphe chrétienne , and has co-authored works on ancient speech impediments (2016, 2023).

Benoit DelhayeView profile

Professor

• Tactile Neuroscience
• Biomechanics of Skin Deformation
• Haptics
• +3 more

Benoit Delhaye is a Professor at Universite catholique de Louvain , affiliated with the Louvain Polytechnic School (EPL) and Mathematical Engineering Center (INMA) . His research bridges tactile neuroscience and biomechanics to understand how tactile receptors encode object information and how the brain uses these signals for dexterous manipulation. He also contributes to Institute Of NeuroScience (IoNS) . Email: benoit.delhaye@uclouvain.be Email: delhayeben@gmail.com His research focuses on three main areas: Tactile Signal Processing : Analyzing skin deformation patterns during object interactions using advanced imaging and computational models Neuroprosthetic Applications : Developing biomimetic afferent response simulations for bionic hand feedback systems Haptic Perception : Investigating how tactile receptors encode friction, slip, and edge orientation The articles demonstrate his contributions to understanding: tactile mechanics (6 papers), grip force adaptation (4 papers), skin strain patterns (5 papers), and neuroprosthetic simulations (3 papers). Key 2024 publications include collagen-induced anisotropy analysis and 3D fingertip deformation modeling. Benoit's technical innovations include: TouchSim - A MATLAB package for simulating tactile afferent responses Open-source instrumented objects for manipulation studies Advanced skin deformation measurement systems His collaborative network spans institutions in Belgium, the USA, and Germany, working with researchers in Philippe Lefevre 's and Jean-Louis Thonnard 's labs. Current teaching includes LEPL1506 Project and LGBIO2110 Clinical Engineering courses.

Herman BruyninckxView profile

Professor

• Robotics
• Mechatronics
• Bayesian Sensor Processing
• +10 more

Herman Bruyninckx is a Professor at the Faculty of Engineering Sciences , KU Leuven , where he also serves as Vice-Chair of the Department of Mechanical Engineering and head of the Robotics, Automation and Mechatronics (RAM) subdivision. His research focuses on integrating formally represented domain knowledge into robotic systems for real-time, self-explanatory, and certifiable control. He advocates for open standards and software engineering practices in robotics, with a career-long emphasis on knowledge-driven robotic systems over data-driven approaches.

Coen De RooverView profile

Professor

• Program Analysis
• Software Quality
• Static and Dynamic Analysis
• +7 more

Coen De Roover is a Professor at the Software Languages Lab of the Vrije Universiteit Brussel , actively leading research in program analysis, software quality, and security. He chairs the Bachelor in Computer Science program and supervises a dynamic research group. Research Focus: Static/dynamic analysis, automated testing, software maintenance, AI for SE, infrastructure as code security. Projects: Bugatti (2025-2028), Cracy (2024-2027), CRPF (2024-2028), BaseCamp Zero (2022-2026), EcoPipe (2023-2025), APAX (2022-2024). Scientific Awards: MSR 2025 Distinguished Dataset Award IEEE TCSE Distinguished Paper Award (SANER 2022) ICSE 2022 Best Artifact Award SCAM 2022 Best Artifact Award Conference Leadership: General Chair of SCAM 2024, Program Co-Chair for GPCE 2024, and active in organizing summer schools on security testing.

• Stellar Evolution
• Gravitational Waves
• Binary Star Evolution
• +7 more

Pablo Marchant Campos is an Associate Professor at Ghent University's Faculty of Sciences , Department of Physics and Astronomy. His research focuses on stellar evolution , gravitational waves , and binary star systems , with significant contributions to understanding black hole mergers , supernovae , and mass transfer processes . Key Research Areas : Stellar evolution, gravitational waves, binary systems, supernovae, neutron star dynamics. His recent work involves numerical simulations with the MESA code, exploring overcontact binaries , tidal interactions , and magnetar formation . Publications from 2015–2024 in leading journals like Astrophysical Journal and Nature Astronomy highlight his expertise in gravitational wave astronomy and supernova progenitors .

Laurent VanbeverView profile

Associate Professor

• Network Programmability
• Internet Routing
• Network Verification
• +5 more

Laurent Vanbever is an Associate Professor at ETH Zürich and heads the Networked Systems Group (NSG). He specializes in network programmability, Internet routing, and network security, aiming to make networks more performant and manageable. Previously, he held a postdoctoral position at Princeton University and earned his PhD from the University of Louvain. Education: PhD in Computer Science, University of Louvain (2012) Postdoctoral Researcher, Princeton University (2012–2014) MSc in Computer Science, University of Louvain (2008) MSc in Management, Solvay Brussels School (2010) Research Interests: His work bridges theory and practice, focusing on network programmability, routing protocols, and sustainable networking. Recent projects include NetFabric, an ETH spin-off for network observability, and studies on energy-efficient router design (e.g., Fantastic Joules ) and BGP reconfiguration ( Taming the transient ). Key contributions include xBGP, Magnifier, and SP-PIFO. Awards: Best Paper Award at HotCarbon '24 SIGCOMM 2015 Best Paper Award Multiple IETF/IRTF Applied Networking Research Prizes Advising and Labs: Supervises PhD students (e.g., Benjamin, Weiran) and manages the NSG lab. Collaborates with NetFabric, offering student projects in network observability and sustainability. Labs & Teams: Leads the NSG and co-founded NetFabric, focusing on next-gen network observability using AI. Active in teaching Communication Networks and Advanced Topics in Communication Networks .

• Astrochemistry
• Cosmology and Extragalactic Astronomy
• Infrared and Optical Astronomy
• +7 more

Kosei Matsumoto is an FWO Junior Postdoctoral Fellow at Ghent University's Faculty of Sciences , Department of Physics and Astronomy . His research focuses on dust evolution in galaxies through hydrodynamic simulations and radiative transfer modeling . Key research areas: Dust grain size distribution dynamics Polycyclic Aromatic Hydrocarbon (PAH) abundance indicators Galaxy evolution simulations (Milky Way-like, NGC 628) Observational validation via JWST , Spitzer , and ALMA data Multi-phase interstellar medium analysis Active Galactic Nuclei (AGN) obscuration structures Recent publications demonstrate his expertise in dust radiative transfer modeling using SKIRT code, with notable work on: Calibrating dust accretion timescales in low-metallicity environments Validating sub-grid models for interstellar medium phases Characterizing buried AGN through submillimeter/near-infrared absorption Comparing simulation-observation frameworks for dust evolution

Joke DaemsView profile

Assistant Professor

• Human-Computer Interaction
• Machine Translation
• Empirical Translation Studies
• +6 more

Joke Daems serves as Assistant Professor in Human-Computer Interaction within Empirical Translation & Interpreting Studies at Ghent University. Affiliated with both the EQTIS research team (Empirical and Quantitative Translation and Interpreting Studies) and the LT3 Language and Translation Technology team, their academic career spans over a decade at Ghent University. Current roles include co-supervising major research projects including ArisToCAT (FWO), WiLMa (BOF), and DUAL-T (MSCA). Research focuses on the impact of translation technology across multiple domains: Machine translation integration in literary translation workflows Gender-inclusive translation strategies using adaptive technology Cognitive aspects of post-editing through eye-tracking and keystroke logging L2 writing processes enhanced by machine translation ( WiLMa project ) Bias detection in neural machine translation outputs Recent publication trends reveal a strategic shift toward gender-inclusive language applications (2022-2025), with 40% of recent work addressing gender bias in machine translation. Literary translation technology remains a consistent thread since 2016, now intersecting with ethical AI development concerns. Methodologically, Daems combines advanced process-tracing techniques with corpus linguistics approaches. Awarded the CIUTI PhD Award in 2017, Daems has also demonstrated significant editorial leadership: Guest Editor for Informatics Special Issue "Advances in Computer-Aided Translation Technology" (2019) Guest Editor for Journal of European Periodical Studies Special Issue "Digital Approaches Towards Serial Publications" (2019) Co-editor of New Empirical Perspectives on Translation and Interpreting (Routledge, 2020) Guest Editor for Filter Special Issue on literary translation technology (2021) Teaching responsibilities encompass Machine Translation & Post-Editing, Terminology and Translation Technology, and Empirical Translation Studies across multiple graduate programs. Daems actively supervises bachelor's and master's theses in human-computer interaction within translation studies while serving as external examiner for doctoral candidates.

• Computer Networking
• Internet Measurement
• Network Security
• +5 more

Benoit Donnet is a Professor at the Research Unit in Networking (RUN) within the Faculty of Applied Sciences at the University of Liège, Belgium. He has held this position since September 2011 and holds a Doctorate in Computer Science from University Paris 6, France. Professor Donnet's research spans multiple areas of computer networking and computer science education. His primary research interests include: Internet Measurement and Network Topology Discovery Network Security and Blockchain Analysis Network Protocol Design and Implementation Computer Science Education, particularly in introductory programming courses His recent publication trends show a dual focus on advanced networking research and innovative computer science education techniques. In networking, his work continues to advance Internet measurement methodologies, with recent publications on Bitcoin network analysis, IPv6 extension headers, and MPLS tunnel discovery. In education research, he has developed frameworks like CAFÉ 2.0 for automatic feedback in programming education and approaches to teaching abstraction skills through diagrammatic reasoning. Professor Donnet has mentored numerous students who have co-authored publications with him across both networking and education domains. His research has been supported by various grants enabling work on network measurement infrastructure, protocol development, and educational innovations. He leads research within the Research Unit in Networking (RUN), which focuses on Internet architecture, network measurement, and computer science education. The group maintains strong connections with the international networking research community and contributes to open-source network measurement tools.

Brent De WeerdtView profile

Researcher

• Interpretable Deep Learning
• Distributed Source Coding
• Generative AI
• +3 more

Brent De Weerdt is a doctoral student and researcher at the Vrije Universiteit Brussel, affiliated with the Faculty of Engineering and the Electronics and Informatics department. His research focuses on interpretable deep learning, distributed source coding, generative AI, and AI explainability. He holds a Master of Science in Electrical Engineering from the same institution (2021). Current projects include the FWOSB140 DUST project, exploring interpretable and efficient deep unfolding sparse transformers for multimodal image processing and generation. He has published in top-tier venues like IEEE Transactions on Signal Processing and IEEE conferences, with contributions to sparse recovery, trajectory anomaly detection, and layered coding. De Weerdt actively engages in peer-review activities for journals such as IEEE Transactions on Multimedia and conferences like the European Signal Processing Conference. His work bridges theoretical signal processing with practical AI applications, emphasizing interpretability and efficiency in neural architectures.

Beat SignerView profile

Professor

• Cross-Media Information Spaces and Architectures (CISA)
• Interactive Paper
• Dynamic Data Physicalisation
• +7 more

Beat Signer is Professor of Computer Science at Vrije Universiteit Brussel (VUB) and Director of the Web & Information System Engineering (WISE) laboratory. His research focuses on cross-media information spaces and architectures (CISA) spanning interactive paper, dynamic data physicalisation, and tangible holograms. His educational background includes a Computer Science degree from ETH Zurich, where he completed his PhD thesis on fundamental concepts for interactive paper and cross-media information spaces in 2005. Key research areas include: Cross-media document formats and resource-selector-link (RSL) hypermedia metamodel Context-sensitive adaptation and cross-media transclusion Multimodal interfaces (Mudra, iGesture) and tangible computing Internet of Things interoperability and semantic middleware Recent publications (2023-2025) reveal strong trends in dynamic data physicalisation hardware, FAIR positioning systems (OpenHPS), end-user IoT development (eSPACE), and next-generation human-information interaction paradigms. His work increasingly integrates Solid protocols for decentralized data and explores thermal dimensions in tangible holograms. As Principal Investigator, he leads multiple EU-funded projects including OpenHPS, TangHo, and eSPACE. His team has developed influential frameworks like MindXpres for cross-media presentations and CMT for context modeling. He supervises 13 doctoral researchers including Dr. Maxim Van de Wynckel and Dr. Audrey Sanctorum, focusing on cross-media applications in education, IoT, and data visualization. His WISE laboratory develops innovative solutions bridging digital and physical information spaces through projects like ArtVis for collaborative data exploration and TangHo for physically augmented virtual objects.

Tom Van CutsemView profile

Associate Professor

• Distributed Systems
• Software Security
• Blockchain
• +5 more

Tom Van Cutsem is an Associate Professor of computer science at KU Leuven in Belgium, where he is affiliated with the Distributed and Secure Software (DistriNet) research group within the Faculty of Engineering Science and Department of Computer Science. He also maintains an affiliation with Nokia Bell Labs, where he previously served as a Research Department Head with research interests in decentralized systems, IoT, stream processing and machine learning for software engineering. His academic career includes a previous position as Assistant Professor at Vrije Universiteit Brussel from 2010 to 2014. Dr. Van Cutsem holds a PhD in Computer Science from Vrije Universiteit Brussel. His educational background has provided the foundation for his expertise in distributed systems, programming languages, and software security. His primary research interests span Distributed Systems , Software Security , Blockchain , and Programming Language Design . With the DistriNet research group, he pursues work on decentralized systems, IoT, stream processing, and machine learning for software engineering. His research focuses on making distributed systems more secure, reliable, and accessible, with particular attention to blockchain technology and Web3 infrastructure. He is a founding member of IFIP WG 2.16 on Programming Language Design. His recent publications demonstrate a strong focus on blockchain security and infrastructure, with numerous papers on Web3, smart contracts, and decentralized systems from 2023-2025. His work addresses critical challenges in blockchain validation, smart contract security, and Web3 infrastructure, reflecting his commitment to making decentralized systems more secure and accessible to low-resource participants. Several of his current projects focus on secure middleware for smart contracts and scalable infrastructure for self-sovereign applications. Dr. Van Cutsem supervises PhD students including Weihong Wang, with whom he has co-authored multiple recent publications. He is currently leading several research projects including SODISA (Scalable Software Development and Infrastructure for Self-sovereign Applications), Secure Sandboxing for WebAssembly-based Smart Contracts, and Programming languages for privacy-preserving and verifiable computing, with funding extending through 2028-2029. He leads research within the Distributed and Secure Software (DistriNet) group at KU Leuven, which focuses on creating secure and dependable distributed systems. His team works on cutting-edge challenges in blockchain infrastructure, smart contract security, and decentralized application development, with connections to both academic and industrial partners including Nokia Bell Labs.

Anthony CleveView profile

Professor

• information system maintenance and evolution
• software and data reverse engineering
• program analysis and transformation
• +5 more

Anthony Cleve is a Full Professor in information system evolution at the University of Namur, Faculty of Computer Science. He serves as President of the Faculty Council and is a member of the Council of the Academic Body (COACA). Cleve is affiliated with the PReCISE research center and the Namur Digital Institute (NADI), where he leads the Data-Intensive Systems Evolution Lab. He holds a PhD in Computer Science (2009) and an MSc in Computer Science (2004) from the University of Namur, along with a Bachelor in Economics and Management. Prior to his current position, Cleve was an ERCIM post-doctoral research fellow at INRIA Lille (2009-2010) and worked as a visiting researcher at CWI, Amsterdam (2005-2006). Professor Cleve's research focuses on information system maintenance and evolution, with particular expertise in software and data reverse engineering, program analysis and transformation, and self-adaptive systems. His work bridges theoretical computer science with practical applications, especially in database engineering, system migration, and co-evolution of databases and programs. More recently, his research has expanded into applying computer science techniques to French-Sign language alignment and translation. His research output shows a strong trend toward microservices architecture, data access patterns, and visualization techniques for understanding complex software systems. Cleve has been actively developing tools like DENIM for exploring data access in microservices environments, demonstrating his commitment to practical solutions for contemporary software engineering challenges. Scientific Awards Namurois of the year 2022, Sciences category Best Paper Award at the 20th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM 2020), NIER track Best Paper Award at the 2016 International Conference on Software Quality, Reliability and Security (QRS 2016) Nominated for the Cor Baayen Award 2012 IBM Belgium / FRS-FNRS 2010 Award for best PhD thesis in Computer Science ERCIM "Alain Bensoussan" Post-doctoral Fellowship (2009-2010) Professor Cleve actively mentors students and researchers, serving as promoter/supervisor for several PhD candidates. He has secured significant research funding through multiple projects including RAINDROP, INSTINCT, and various projects on database schema evolution in microservices applications. His research group collaborates extensively with institutions across Europe. He leads the Data-Intensive Systems Evolution Lab at the Namur Digital Institute (NADI) and is a key member of the Namur Institute of Language, Text and Transmediality (NaLTT), where he applies his expertise to sign language processing challenges. His lab focuses on developing practical tools and methodologies for system evolution, with recent work emphasizing microservices architectures and data access patterns.

• Image Processing
• Deep Learning
• Signal Processing
• +6 more

Adrian Munteanu is a Professor in the Department of Electronics and Computer Science at Free University of Brussels (Vrije Universiteit Brussel). He has been actively contributing to research in image processing, deep learning, and signal processing since 1995, with over 414 research outputs and an h-index of 29. His work spans diverse fields such as video compression, autonomous vehicle pose estimation, greenhouse gas emissions prediction, and real-time distributed video coding.

Nilesh MadhuView profile

Professor

• Machine Learning
• Audio & Speech Enhancement
• Automated Audio Scene Analysis
• +4 more

Nilesh Madhu is a Professor for Audio and Speech Processing at Ghent University and imec, Belgium, where he leads research in the Internet Technology and Data Science Lab (IDLab). His academic journey began with a Dr.-Ing. degree (summa cum laude) from Ruhr-Universität Bochum, Germany in 2009, followed by a Marie-Curie postdoctoral fellowship at KU Leuven. Prior to his academic appointment, he served as Principal Scientist and team lead at NXP Semiconductors from 2011-2017, developing advanced audio algorithms for mobile devices. His research spans multiple domains within signal processing, with a particular focus on machine learning applications for audio and speech enhancement, automated audio scene analysis, and hearing prostheses. Professor Madhu's work bridges theoretical signal processing with practical implementations in communications, healthcare, and assistive technologies. Analysis of his recent publication record reveals a strong emphasis on deep learning approaches for speech enhancement, with particular attention to phase reconstruction, multichannel processing, and efficient model architectures. His research increasingly incorporates biomedical applications, particularly in cardiovascular monitoring using advanced sensing techniques like laser Doppler vibrometry. His laboratory work centers around the Internet Technology and Data Science Lab (IDLab) at Ghent University, where his team develops innovative signal processing algorithms with applications spanning mobile communications, hearing aids, and biomedical monitoring systems. The group maintains strong industry connections, evidenced by their focus on practical implementation constraints and real-world performance metrics.