جستجوی استاد راهنمای دانشگاهی

Jamal Shahinمشاهده پروفایل

دانشیار

• Digital Sovereignty
• European Union Policy
• Internet Governance
• +۵ مورد دیگر

Jamal Shahin serves as Associate Professor and Program Director at the Brussels School of Governance (Vrije Universiteit Brussel), Senior Lecturer at the University of Amsterdam, and Professorial Fellow at UNU-CRIS in Bruges. His academic career spans multiple prestigious institutions with a focus on European governance and digital policy. Dr. Shahin earned his PhD in Politics from the University of Hull in 2005 with a dissertation titled "Virtual Governance? The relationship between the Internet and Governance in the European Union." His academic journey reflects a deep commitment to understanding the intersection of technology, governance, and European integration. Shahin's research centers on digital sovereignty within the European Union context, examining how new forms of global social and political organization impact decision-making effectiveness and legitimacy. He investigates EU communication strategies in domestic and international arenas and explores interdisciplinary approaches to improve policy design. His work bridges theoretical governance frameworks with practical policy applications in the digital age, focusing particularly on internet governance, EU policy-making, and the evolving concept of sovereignty in digital spaces. His scholarly output demonstrates a clear evolution toward contemporary digital governance challenges, with recent publications focusing on EU digital sovereignty, internet governance frameworks, and regional digital policy coordination. The research shows increasing emphasis on the tension between state sovereignty and the global nature of digital infrastructure, reflecting current geopolitical debates in technology policy. As an academic supervisor, Shahin has mentored doctoral students including Penarrubia Manon (2017) and Clément Perarnaud (2021). His research is supported by multiple active projects including "Digital Sovereigns and the Non-Sovereign Internet" (2025-2027), "Negotiating State Sovereignty over the Internet" (2024-2027), and the "House of Sustainable Transitions" initiative (2024-2028). Shahin leads the Digital Governance cluster at UNU-CRIS and chairs the Global Internet Governance Academic Network (GigaNet) from 2025-2027. His work connects academic research with practical policy development through regular participation in conferences, workshops, and public lectures on digital sovereignty and EU governance.

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.

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.

Peter Verwilstمشاهده پروفایل

دانشیار

• Medicinal Chemistry
• Allosteric Modulation of Enzyme Targets
• Fluorescent Markers for Neurodegenerative Diseases
• +۵ مورد دیگر

Peter Verwilst is an Associate Professor at the Medicinal Chemistry division of the Rega Institute for Medical Research , part of KU Leuven 's Department of Pharmaceutical and Pharmacological Sciences. He leads projects in allosteric modulation of enzyme targets , fluorescent markers for neurodegenerative diseases , and novel antimicrobial development , particularly focusing on Gram-negative bacteria and HIV-related therapies. His research integrates computational modeling , chemical synthesis , and fluorescent probe design . He supervises PhD students including Margaux Billen , Eline Goffin , and Radu Bulai , and collaborates with institutions like Masaryk University and the Institut Pasteur de Lille. Current projects explore CCR5 signaling modulators , PurK inhibitors , and DNA-Encoded Libraries for P. aeruginosa antibiotics. Scientific awards include supporting students like Radu Bulai in obtaining FWO PhD Fellowships . His teaching includes Organische chemie I & II and Medicinale chemie courses. The lab recently celebrated securing a C1 grant and welcomes international collaborations.

• Chromatography
• Separation Science
• Analytical Chemistry
• +۳ مورد دیگر

Ken Broeckhoven holds a prominent academic position at Vrije Universiteit Brussel (VUB) as a Professor in the Department of Bio-engineering Sciences, within the Chemical Engineering and Industrial Chemistry school. His roles include leadership in research groups and administrative positions such as Dean and Department Chair. Specializing in chromatography and separation science, his work focuses on advancing techniques like liquid chromatography, supercritical fluid chromatography, and hydrophobic interaction chromatography for applications in protein analysis and biotherapeutics. He has authored over 236 research outputs and secured 13 major projects, including ones on column performance and sustainable chemical technologies. His contributions have earned 20 scientific awards, including top poster prizes and innovation recognitions. Broeckhoven actively participates in PhD committees and international conferences, emphasizing collaborative research and cutting-edge instrumentation development. Education: Not explicitly detailed in the provided text. Research Interests: Chromatography systems optimization, diffusion dynamics, column design, and analytical method development for complex biological samples. His work bridges theoretical modeling with practical applications in separation science. Recent Research Trends: Recent articles emphasize overcoming extracolumn band broadening, advancing HIC methods, and leveraging computational fluid dynamics (CFD) to enhance column efficiency. His studies often integrate experimental and numerical approaches to dissect separation mechanics. Awards: Includes 1st Prize Poster Award (HPLC 2008), Analytical Science Advances Best Poster (2020), and recognition for master’s thesis supervision (2012). Grants & Activities: Leads projects like the OZR Basisfinanciering voor Grote Onderzoeksgroepen (2024–2029) and participates in over 105 professional activities, including talks at global conferences. Supervises 12 students, including Timothy Januarius (2024) and T. Swier (2015).

Maxime Gobertمشاهده پروفایل

پژوهشگر

• Database Systems
• Hybrid Polystores
• Database Schema Evolution
• +۴ مورد دیگر

Maxime Gobert is a researcher at the University of Namur's Faculty of Computer Science, specializing in database systems and software engineering. Having completed his PhD in March 2023 titled 'Design, Manipulation and Evolution of Hybrid Polystores,' Gobert has established himself as an expert in hybrid database systems, particularly focusing on the HyDRa framework for modeling and evolving polystores. His research interests span database systems, hybrid polystores, database schema evolution, software engineering, data-intensive systems, and static program analysis. Gobert's work bridges theoretical database concepts with practical applications, particularly in NoSQL databases like MongoDB and complex hybrid data storage environments. His publication record demonstrates a clear trajectory from his 2013 Master's thesis on database reverse engineering through to his recent work on database testing best practices and sign language processing applications. His research shows strong collaboration with colleagues at the University of Namur, particularly with Professor Cleve A., and extends to international collaborations as evidenced by his 2016 guest researcher position at the University of Geneva. Best New Idea and Emerging Results (NIER) Paper Award at the 20th IEEE Working Conference on Source Code Analysis and Manipulation (SCAM 2020) Jean Fichefet 2013 award Gobert has contributed significantly to the development of the HyDRa framework for hybrid polystore management and has extended his research into sign language processing through collaborative projects creating bilingual sign language dictionaries and parallel corpora. His work demonstrates both technical depth in database systems and a commitment to applying this expertise to accessibility-focused applications.

Lesley De Cruzمشاهده پروفایل

پژوهشگر ارشد

• Climate Modeling
• Regional Climate Downscaling
• AI for Environmental Systems
• +۳ مورد دیگر

Lesley De Cruz is a Research Fellow at Vrije Universiteit Brussel's Electronics and Informatics department within the School of Electronics and Computer Science, with concurrent research affiliation at the Royal Meteorological Institute of Belgium since 2012. Current projects include climate-resilient urban modeling through BRGEOZ464 and flood prediction systems under FWOAL1127. Research focuses on AI-driven climate modeling with expertise in nonlinear dimension reduction (DIRESA framework), urban climate resilience, and renewable energy meteorology. Key methodologies integrate deep learning with environmental physics for applications including real-time flood prediction offshore wind farm optimization LEGO-based urban climate prototyping regional climate downscaling Recent publications (2023-2025) demonstrate strong trends in geospatial AI for environmental systems, with 64% focusing on climate change impact analysis, 54% on urban applications, and 51% on control measure development. The DIRESA framework represents a significant contribution to nonlinear dimension reduction in climate informatics. Awards include: Matìère Grise Science Communication Trophy (2024) Major media recognition for breakthrough rainfall prediction model (2021) Supervises multiple PhD candidates and leads public engagement initiatives including CurieuCity and Dag Van de Wetenschap. Current grants total 12 active projects (2021-2029) with €2.8M+ funding, primarily focused on climate adaptation and sustainable technology development. Labs and teams include the Climate Informatics Group at VUB and collaborative networks with Ghent University and the Flemish Institute for Carbon-Aware Technologies.

• Combinatorial Optimization
• Algorithm Design and Analysis
• Game Theory and Social Choice
• +۴ مورد دیگر

Jannik Matuschke serves as Associate Professor in the Department of Decision Sciences and Information Management at KU Leuven's Faculty of Economics and Business (FEB). He is an active member of both the KU Leuven Institute for Artificial Intelligence (Leuven.AI) and the KU Leuven Institute for Mobility (LIM), holding office at Hogenheuvelcollege (HOGC) 04.123 in Leuven, Belgium. His academic career spans multiple prestigious institutions across Europe, reflecting his international recognition in operations research and theoretical computer science. Dr. Matuschke completed his PhD in Mathematics in 2013 at Technische Universität Berlin under Martin Skutella and Britta Peis. His academic journey included a postdoctoral position at Universidad de Chile (2014), a DAAD P.R.I.M.E. fellowship at the University of Rome 'Tor Vergata' (2015), and a junior group leader/lecturer position at Technische Universität München (2016-2018) before joining KU Leuven in 2019. His research focuses on the intersection of discrete mathematics, theoretical computer science, and operations research, with specific expertise in combinatorial optimization, algorithm design and analysis, game theory and social choice, robustness and uncertainty, and logistics applications. Dr. Matuschke has made significant contributions to network flow theory, security games, and robust optimization frameworks, developing both theoretical foundations and practical applications. Analysis of his recent publications reveals a strong emphasis on robustness under uncertainty, with increasing focus on security applications and theoretical aspects of scheduling problems. His work demonstrates consistent innovation in decomposing complex optimization problems and developing approximation algorithms for challenging combinatorial settings. 2024 Meritorious Service Reward of the journal Operations Research Dr. Matuschke actively mentors several PhD students and postdocs, including Yanfei Chen, Léonie Gallois, Phablo Moura, Felix Rauh, and Fei Wu. He leads significant research projects such as 'Rigidity and Flexibility: Structures and Algorithms' (starting 2025), 'Designing resilient and recoverable infrastructures via multi-level and multi-stage optimization' (2022), and 'Optimization and analytics for stochastic and robust project scheduling' (2020), with funding from diverse sources including KU Leuven start-up grants, FWO research projects, and DAAD fellowships. As an integral member of the academic community, Dr. Matuschke serves as Associate Editor for Omega (since 2023), Operations Research Letters (since 2024), and OR Spectrum (since 2019). He co-chairs the program committee for WAOA 2025 and has participated in numerous prestigious conference committees. At KU Leuven, he coordinates the 'Master's Thesis in Production and Logistics' program and serves on the Teaching Portfolio Peer Review Committee.

Peter Lambertمشاهده پروفایل

دانشیار

• multimedia signal processing
• visual communication
• computer graphics
• +۲ مورد دیگر

Peter Lambert is a full-time Associate Professor at Ghent University – imec (Belgium), affiliated with the Internet Technology and Data Science Lab (IDLab) where he coordinates the MEDIA research team since 2013. His academic background includes a Master's degree in Science (Mathematics) and Applied Informatics from Ghent University, followed by a Ph.D. in Computer Science from the same institution in 2007. Prior to his current role, he served as a Technology Developer at Ghent University (2010-2013). Lambert's research focuses on: Multimedia signal processing and visual communication systems Computer graphics and computational geometry Augmented and virtual reality (AR/VR) technologies Video compression and perceptual quality assessment Multimedia security and digital watermarking His recent publications (2024-2025) demonstrate strong emphasis on real-time multimedia systems, VR/AR applications, perceptual quality metrics, and multimedia security. Research trends include deep learning-based video forensics, light field rendering optimizations, perceptual hashing techniques, and adaptive video streaming solutions. As leader of the IDLab-MEDIA team, Lambert oversees research on emerging visual media formats with applications in immersive experiences. The team develops technologies like OpenDIBR (real-time light field renderer) and maintains datasets such as SILVR (Synthetic Immersive Large-Volume Plenoptic Dataset).

Chris Cornelisمشاهده پروفایل

استاد

• Machine Learning
• Fuzzy Sets
• Rough Sets
• +۳ مورد دیگر

Chris Cornelis is a full-time Professor in fuzziness and uncertainty modelling at Ghent University's Department of Applied Mathematics, Computer Science and Statistics. His research integrates fuzzy logic and rough set theory to advance machine learning methodologies for complex data analysis. Education: M.Sc. in Computer Science, Ghent University (2000) Ph.D. in Computer Science, Ghent University (2004) Research Focus: Cornelis pioneers fuzzy-rough hybrid systems for uncertainty handling in machine learning. His work spans theoretical foundations (e.g., implication operators, granular approximations) and practical applications including emotion detection, medical diagnosis, and imbalanced data classification. Key innovations include FRNN-OWA classifiers and polar encoding for missing values, demonstrating exceptional versatility in bridging abstract mathematics with real-world AI challenges. Publication Trends: Recent work (2023-2025) reveals intensified exploration of topological data analysis (Mapper-based rough sets), advanced granular computing (disjoint/adjacent fuzzy granules), and ethical AI ("No Imputation Without Representation"). His research shows consistent progression from foundational fuzzy-rough theory toward multi-disciplinary applications while maintaining mathematical rigor, particularly in Choquet integration and quantifier-based frameworks. Scientific Awards: No specific awards were documented in the provided sources. Research Support: Cornelis has secured competitive funding including FWO postdoctoral mandates, a Ramón y Cajal contract at the University of Granada, and an FWO Odysseus Type II project at Ghent University. These grants enabled foundational work in fuzzy-rough set theory and its applications to complex data problems. Research Unit: He leads research within Ghent University's Computational Web Intelligence (CWI) unit, focusing on intelligent data analysis systems that leverage fuzzy-rough methodologies for web-scale information processing.

Moharram Challengerمشاهده پروفایل

استادیار

• Cyber-physical Systems
• Multi-agent Systems
• Domain-specific Modeling Languages
• +۵ مورد دیگر

Moharram Challenger is a tenure-track Assistant Professor in the Department of Computer Science at the University of Antwerp's Faculty of Sciences. Previously, he served as an assistant professor at Ege University (2017-2018) and as a post-doctoral researcher at the University of Antwerp (2019-2020) working on Flanders Make projects PACo and DTDesign. His academic journey includes R&D leadership roles at UNIT IT Ltd. (2012-2016), post-doctoral research at Wageningen University (2016-2017), and tenure-track faculty positions at IAU-Shabestar University (2005-2009). His research spans Cyber-physical Systems , Multi-agent Systems , and Domain-specific Modeling Languages , with recent publications focusing on quantum machine learning, digital twinning, and IoT optimization. Key projects include ITEA ModelWriter, ITEA Assume, and Flanders Make initiatives. His work demonstrates strong integration of model-driven engineering with emerging technologies like quantum computing and reinforcement learning. Challenger actively contributes to the academic community as a member of IEEE and ACM . His publication record shows consistent output across top venues, with 2025 featuring significant work in quantum-enhanced learning and CPS security. Current research emphasizes practical applications in drone energy modeling, medical diagnostics, and industrial IoT systems. His advising activities focus on cyber-physical systems and agent-based modeling, supported by grants from TUBITAK and Flanders Innovation & Entrepreneurship. Key collaborations include European ITEA projects and partnerships with industrial entities through UNIT IT Ltd. Challenger maintains active development through GitHub repositories related to code refactoring, model-driven engineering, and legacy system modernization, reflecting his commitment to practical software engineering solutions.

• 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.

• Digital Communication
• Social Media
• Public Health
• +۷ مورد دیگر

Professor Koen Ponnet is a faculty member in the Department of Communication Sciences at Ghent University's Faculty of Social Sciences. With an extensive publication record spanning social media, digital communication, public health, and cyber relationships, he has established himself as a leading researcher in digital society and human behavior. Faculty of Social Sciences, Department of Communication Sciences Extensive collaboration with researchers across disciplines Supervisor of numerous PhD students Active researcher with publications through 2025 Professor Ponnet's research focuses on the intersection of digital technology and human behavior. His work spans social media effects on relationships (including "partner phubbing"), cyber dating abuse, adolescent digital behavior, digital inclusion, and substance use patterns. His research methodology is diverse, employing both quantitative and qualitative approaches across multiple countries. His recent publications show a clear trajectory toward examining how digital technologies impact intimate relationships, mental health, and societal inclusion. The work spans from micro-level interpersonal dynamics to macro-level societal implications of digital transformation, with particular attention to vulnerable populations and digital divides. Professor Ponnet has collaborated with numerous researchers across Belgium and internationally, with frequent co-authors including Wim Hardyns, Janneke M. Schokkenbroek, and Sarah Anrijs. His work appears in high-impact journals across communication, psychology, public health, and social sciences. His research team has secured funding for projects examining digital inclusion, relationship dynamics in the digital age, and substance use patterns among youth. The team maintains strong connections with both academic institutions and policy organizations seeking evidence-based approaches to digital society challenges. Professor Ponnet leads research groups focused on digital communication and its societal impacts, with particular attention to vulnerable populations and digital inclusion initiatives. His work often bridges academic research with practical applications for policymakers and practitioners.

Florentin Rochetمشاهده پروفایل

استادیار

• Anonymous Communication
• Network Security
• Transport Protocols
• +۵ مورد دیگر

Florentin Rochet is an Assistant Professor at the University of Namur's Faculty of Computer Science. His research focuses on anonymous communication , network security , and encrypted transport protocols , with a particular emphasis on improving privacy-enhancing technologies and protocol design. He holds a PhD in Applied Cryptography and has contributed to projects like TCPLS (TCP/TLS integration) and CLAPS (Tor path selection). Key academic milestones include joining UNamur in 2022 as an Assistant Professor, completing a postdoc at the University of Edinburgh (2021), and serving on program committees for Usenix Security, ACM CCS, and PoPETs. He has received the Usenix Security Noteworthy Reviewer Award (2023) and the 2020 Alan Berman Research Publication Award. His research spans flexible anonymous networks , secure transport protocols , and authentication technologies , with notable work on improving Tor's resilience against attacks through location-aware path selection and enhancing TLS/TCP integration for modern networks. He also leads a research group exploring eBPF security and WebAssembly runtime protections. Teaching responsibilities include computer security and privacy courses, with a 6-year teaching assistant position involving bachelor's/master's instruction and PhD supervision. His lab focuses on applied cybersecurity, network protocol innovation, and privacy-preserving systems design.

Damien Ernstمشاهده پروفایل

استاد

• Energy Systems
• Operations Research
• Remote Renewable Energy Hubs
• +۵ مورد دیگر

Prof. Damien Ernst is a faculty member at the Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège (Belgium). His research focuses on energy systems, remote renewable energy hubs, reinforcement learning, and optimization algorithms. He actively contributes to decarbonization strategies for hard-to-abate sectors like shipping and aviation. Academic Rank: Professor University: University of Liège School: Montefiore Institute Department: Electrical Engineering and Computer Science Research interests include: Design and techno-economic analysis of remote renewable energy systems Reinforcement learning applications in energy and optimization Energy transition policy and sustainability modeling Machine learning techniques for energy system transparency Integration of nuclear, hydrogen, and battery technologies His recent publications demonstrate expertise in: Remote Renewable Energy Hub (RREH) design Small Modular Reactor (SMR) integration Asymmetric Actor-Critic algorithms Energy system optimization and modeling Grid stability and hosting capacity analysis Explainable AI for closed-domain question answering Prof. Ernst leads PhD projects at the intersection of Operations Research and Energy Systems, focusing on energy systems models' transparency and optimization techniques.