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Fabienne ChetailView profile

Professor

• Cognitive Psychology
• Cognitive Neuroscience
• Language and Reading Processes
• +5 more

Fabienne Chetail is a Professor at the Faculty of Psychology and Education of Université Libre de Bruxelles (ULB), joining permanently in 2014. She leads the Laboratoire Cognition Langage Développement (LCLD) since 2018 and is Vice-Dean of the Faculty in 2024-25. Her work bridges cognitive psychology and cognitive neuroscience , focusing on language and reading processes . Education : PhD in Psychology from the University of Bordeaux (2008), followed by postdoctoral research at ULB. Chetail’s research explores the mechanisms of reading and written word processing , including orthographic learning , statistical learning in literacy, and the impact of consonant-vowel (CV) structure on perception. She investigates how print exposure shapes lexical representations and reading efficiency, particularly in adults and children, using behavioral paradigms (lexical decision, eye tracking) and neuroscientific methods (EEG, MEG). Her publications demonstrate a focus on orthographic regularities , novel word learning , and the neurocognitive basis of reading . Recent work includes studies on lexical integration of new words and orthographic learning in deaf children . Scientific Awards : Rebecca L. Sandak Young Investigator Award (2013) Pierre Gréco Award (2009) ULB Teaching Project Top 5 (2020, 2016) Chetail supervises numerous PhD and Master’s students in projects related to reading motivation , spelling variability , and orthographic development . She also manages the CRCN EEG and eye-tracking facilities and advocates for open science initiatives , including systematic data sharing and preregistration.

• Computational Thinking
• Computer Science Education
• Education
• +8 more

Tom Neutens is a researcher at Ghent University, Belgium, specializing in computational thinking, computer science education, and physical computing. His work bridges educational theory and technological practice for K-12 and vocational settings. Research interests include: Developing assessment frameworks for computational thinking Designing pedagogical tools for graphical programming Comparative studies of creation vs. debugging approaches Integrating STEM education through physical computing Teacher professional development and educational technology Recent publications focus on debugging strategies, code assessment, and AI integration in vocational education. His work spans Technology and Engineering (11 publications), Social Sciences (4), and interdisciplinary applications in mathematics, medicine, and K-12 systems.

Fabian GILSONView profile

Researcher

• Model Driven Engineering
• Transformation Approaches
• Architecture Description Languages
• +3 more

Fabian GILSON is a researcher at the University of Namur's PReCISE Research Center (Research Center on Information Systems Engineering), specializing in software architecture and model-driven engineering approaches. With a PhD in Computer Sciences completed in 2015, he has established himself as a specialist in bridging requirement engineering with architecture design through formal model transformations. His educational background includes: PhD in Computer Sciences (2015), University of Namur Master in Computer Sciences (2005), University of Namur GILSON's research focuses on the intersection of requirement engineering, component-based design, and physical infrastructure abstractions. His work particularly emphasizes creating methodological frameworks that bind requirements, architecture models, and design rationale through model transformations. His expertise spans Model Driven Engineering, Transformation Approaches, Architecture Description Languages, Distributed Systems, and Design Decisions Traceability. His publication record shows a clear evolution from foundational work on architectural frameworks to practical applications in emerging domains like IoT systems management and social debate platforms. The research demonstrates consistent methodological rigor while addressing increasingly complex real-world problems in software engineering. Notable research projects include: METADONE: A graphical environment for domain-specific modeling languages (2003-present) WebDeb: A social platform for recording and visualizing rhetorical arguments (2014-2018) Thesis-F-Gilson: A Transformational Approach for Component-Based Distributed Architectures (2007-2015) MEMODIA: Methods and Models for Distributed Architectures (2003-2015) GILSON previously worked as a teaching assistant at the University of Namur, where he was responsible for programming practical exercises, architecture modeling methods, and software engineering laboratory sessions. His industry experience includes two years at a Big-5 IT consulting company working on payment systems for a major banking company, including maintenance of legacy IBM iSeries software and retro-engineering projects.

• Video Coding
• Immersive Media
• Digital Watermarking
• +5 more

Glenn Van Wallendael is an Associate Professor at Ghent University's Faculty of Engineering and Architecture , affiliated with the Department of Electronics and Information Systems . He leads research in video coding, digital watermarking, and immersive media technologies. Academic Focus: Video compression standards (HEVC, H.266), AI for multimedia, virtual reality Key Collaborations: iMinds, imec, European research consortia Research Interests include: Video compression algorithms (HEVC, SVC, MV-HEVC) Digital watermarking for copyright protection Machine learning applications in image/video analysis Quality of Experience (QoE) in immersive environments Recent Publications (2024-2025) show expertise in: Deepfake detection using vision transformers Medical image landmarking tools Lightweight geometric approximation methods AI-driven video quality assessment Doctoral Mentorship includes supervising: 2021: Hannes Mareen (video forensics) 2020: Vasileios Avramelos (light field coding) 2017: Johan De Praeter (adaptive video encoding)

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.

Fabio Roberto De MirandaView profile

Senior Lecturer

• Computer Science
• Electronic Systems Engineering
• Augmented Reality
• +3 more

Fabio Roberto de Miranda is a Senior Lecturer at Insper Institute of Education and Research, where he coordinates the Undergraduate Program in Computer Science. He holds a Master's degree in Electronic Systems from the University of São Paulo (Poli-USP) and is an electrical engineer with a focus on Computer Science. Current affiliations: Coordinator of Computer Science Program at Insper Academic interests: Applied research in Augmented Reality, Computer Graphics, and Computer Vision Teaching experience: 20+ years developing and coordinating project-based IT courses Education Master in Electronic Systems - Polytechnic School of the University of São Paulo (Poli-USP) Electrical Engineering degree with Computer Science concentration Research Focus combines applied computer science with technological innovation. He specializes in creating prototype systems for: Augmented Reality applications Computer Graphics solutions Computer Vision systems His work emphasizes practical implementation and consulting for major companies like Embraer, CTI, and Cenpes-Petrobras, particularly in graphics system specification and development. Academic Contributions include: Developing and coordinating Computer Engineering courses Teaching project-oriented courses with simulators, mobile devices, and educational robotics Collaborating on Insper's new Engineering programs

• 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.

Baldwin Van GorpView profile

Professor

• framing of societal themes
• journalism and news
• identity experience in dementia
• +6 more

Baldwin Van Gorp is a full professor at the Faculty of Social Sciences , KU Leuven, and head of the Lab for Media, Information & Influence (OG) . He is also a member of the Ethics @ KU Leuven , Leuven Centre for the Study of Islamic Culture and Society , and Leuven One Health Institute . His work bridges academia and creative practice through arts-based methods , including participation in the Stripgids Academie in Turnhout, where he honed skills for his ongoing graphic novel project. Education : Completed Stripgids Academie (Comics) for technical storytelling skills Research interests include: Framing of societal themes (climate change, migration, health communication) Crisis communication (language strategies, imago repair theories) Dementia studies (identity formation, visual communication for empowerment) Computational journalism (algorithmic influence on news production) Recent article trends show interdisciplinary focus on: Framing theory applications in health/media contexts AI and technology in sensitive communication Child psychology in news reception Visual methods for marginalized voices Comparative media analysis (TV vs. TikTok, Belgium vs. international) Ethical framing in polarized debates Advising roles feature collaborations with: PhD/Master's students : Gert Fannes, Lies Bormans, Lisa Balliu, An-Sofie Claeys Co-promotions : Projects on algorithmic journalism, EU crisis narratives Labs & teams : Founded and leads Lab for Media, Information & Influence (OG) in Leuven/Brussels Collaborations with Koning Boudewijnstichting , VRT , and Pelckmans Pro (publishing)

• Computer graphics
• Virtual reality
• High performance computing
• +5 more

Prof. Frank Van Reeth serves as Full Professor in the Department of Computer Sciences at Hasselt University's Faculty of Sciences, where he directs the Digital Future Lab and leads the Applied Computer Science Lab within the Expertise Centre for Digital Media (EDM) at Campus Diepenbeek. His institutional roles include Vice-Presidency of Examination Boards for Informatics and Computer Science programs. His research spans computer graphics, virtual reality, high performance computing, and human-computer interaction with strong emphasis on industrial applications. Current projects include NORM.AI for efficient AI rendering, MAXVR-INFRA for digital-physical workspaces, and MAX-R for mixed reality pipelines, demonstrating his focus on bridging theoretical computer science with practical implementations in computer vision and extended reality systems. Prof. Van Reeth has supervised 23 PhD students to completion since 1997, with recent graduates working on synthetic data training and spatial context-aware services. His active supervision of 4 doctoral candidates focuses on hardware-accelerated deep learning and industrial inspection systems. He teaches core courses in computer graphics, visual computing, and problem solving while maintaining leadership in EDM's €15M+ research portfolio. The Applied Computer Science Lab under his direction operates as EDM's primary research engine, specializing in real-time rendering, 3D modeling, and computer vision solutions. The Digital Future Lab he directs provides the infrastructure backbone for Hasselt University's mixed reality research, enabling collaborations across 15+ ongoing projects with industrial partners in manufacturing and digital media sectors.

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +7 more

Dr. Lode Jorissen is a Postdoctoral Assistant at Hasselt University's Faculty of Sciences, where he is affiliated with the Capacity group Computer Sciences within the Expertisecentrum voor Digitale Media (EDM) on Campus Diepenbeek. He maintains dual laboratory affiliations with both the Applied Computer Science Lab and the Digital Future Lab. His research spans multiple specialized areas of visual computing: Computer Graphics and Visual Computing Virtual Reality and Augmented Reality systems Image Processing and Computer Vision Novel-view synthesis techniques Projection-based augmented reality View-dependent lighting effects in XR 3D Modeling and Image-Based Rendering Dr. Jorissen manages an extensive research portfolio comprising 14 active projects with timelines extending from 2013 through 2029. Current major initiatives focus on AI-generated video detection, projection-based AR enhancement, and advanced lighting effects in XR environments, with practical applications across industrial manufacturing, construction, and immersive media production sectors. His funded research projects include: Training-free and model-agnostic approaches for generalizable and explainable AI-generated video detection (2025-2029) Enhancing Projection-based Augmented Reality (2025-2029) ALARMM_SBO: Accurate large-area Localization and spatial Alignment with Robust Markerless Methods (2025-2029) Expanding Capabilities of View-Dependent Lighting Effects in XR (2023-2027) DIGIBUILD: Digital Support for Construction Industrialization through Off-site Production (2024-2026) Dr. Jorissen currently supervises three PhD students as copromotor while teaching multiple advanced courses in image processing, computer graphics, and visual computing for both the 2024-2025 and 2025-2026 academic years. His laboratory work at the Applied Computer Science Lab focuses on developing practical visual computing solutions that bridge theoretical computer vision techniques with real-world industrial applications, particularly in manufacturing and construction environments.

• Computer Graphics
• Computer Vision
• Virtual Reality
• +2 more

Dr. Jeroen PUT serves as a Researcher-expert and Research Manager within the Faculty of Sciences at Hasselt University. His primary academic appointment resides in the Capacity group Computer Sciences, with significant leadership roles in the Expertise Centre for Digital Media (EDM). He actively contributes to the Applied Computer Science Lab and Digital Future Lab, driving research in computational imaging and interactive systems. His research centers on Computer Graphics , Computer Vision , and Virtual Reality with industrial applications. Key focus areas include real-time rendering, deep learning for visual inspection, and VR-based assembly validation systems. This work bridges academic innovation with manufacturing and logistics sectors through projects like FARAD2SORT for automated product sorting. Current funding includes the Expertise Centre for Digital Media initiative (2024-2028) which he manages, providing resources for advanced computational infrastructure. His teaching portfolio demonstrates commitment to graduate education in visual computing disciplines despite no explicit student supervision details being published. Dr. PUT operates within the Applied Computer Science Lab ecosystem, which fosters collaboration between computer scientists, engineers, and industry partners. The lab maintains strong ties to manufacturing and logistics sectors for rapid prototyping and deployment of vision-based solutions in real-world production environments.

• Distributed systems
• Networking and communications
• Communication networks
• +6 more

Professor Wim LAMOTTE is a Full Professor in the Faculty of Sciences at Hasselt University, affiliated with the Computer Sciences capacity group and based at the Expertise Center for Digital Media (EDM) on Campus Diepenbeek. He leads research within the Applied Computer Science Lab and Digital Future Lab while serving as President of both the Capacity Group Board INF and the Information Security Committee. His research spans multiple critical areas of computer science: Distributed systems and parallel computing Networking and communication protocols Cryptography and privacy security High performance computing Computer graphics and virtual environments Professor Lamotte has supervised 13 PhD students since 2007, with recent completions focusing on network security and privacy. His teaching portfolio includes core computer science courses across networking, security, programming, and distributed systems for both undergraduate and graduate students. His research activities demonstrate sustained productivity with 13 projects spanning from 2009 to ongoing work through 2026, showing particular strength in securing networked applications and optimizing communication systems. Current projects address next-generation video delivery, cyber security threats, and web performance automation. As an academic leader, Professor Lamotte holds significant governance roles within the Faculty of Sciences while maintaining active research and teaching commitments across multiple computer science disciplines.