جستجوی استاد راهنمای دانشگاهی

• Mental Fatigue
• Human Physiology
• Sports Physiotherapy
• +۶ مورد دیگر

Kevin De Pauw is a postdoctoral researcher at the Department of Physiotherapy, Human Physiology and Anatomy at Vrije Universiteit Brussel (VUB). He actively contributes to 12 research projects with a focus on robotics, mental fatigue, brain physiology, and sports physiotherapy. Current projects include Brubotics, APEX, and TBrainBoost Collaboration network spans Belgium, Germany, and Netherlands Key research themes: Mental Fatigue (100%), Robotics (100%), and Prosthetics (52%) Research Interests: His work explores the intersection of brain physiology, fatigue mechanisms, and robotics applications in rehabilitation. He develops predictive musculoskeletal simulations and investigates inter-limb asymmetry in athletes. Article Trends: Recent publications show increasing focus on robot-assisted rehabilitation , brain neuroplasticity , and mental fatigue quantification . Research combines AI-driven wearable robotics with neurophysiological monitoring . Student Supervision: He mentors Master's students in topics related to Lower limb asymmetry analysis Adolescent cognition-fitness relationships Exoskeleton interface design Laboratory Affiliation: Member of Brubotics and TBrainBoost teams at VUB, working on sustainable human-centered robotics and neurocirculation enhancement 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.

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.

• Innovation Management
• Technology Transfer
• Digitalisation
• +۷ مورد دیگر

Robin Kleer is an Associate Professor of Innovation Management at Vlerick Business School in Leuven, Belgium. He serves as Programme Director for the Masters in Innovation and Entrepreneurship and Masters in General Management. Previously, he held positions at RWTH Aachen University (Habilitation), Technical University of Berlin (Professor of Technology and Innovation Management), and visiting roles at MIT, Michigan State University, and others. His research focuses on technology transfer, sustainable business models, digitalisation, additive manufacturing, and blockchain applications. He teaches innovation management, technology foresight, and executive education programmes like 'Growth through Innovation.' Education: Doctor in Economics (University of Würzburg, Germany) Habilitation (Post-Doc Degree) at RWTH Aachen University Degree in Business Engineering (University of Karlsruhe) Research Interests: Dr. Kleer explores the interplay between innovation, market structures, and business models. His work emphasizes sustainable practices in digitalisation, additive manufacturing (3D printing), and blockchain. He investigates how these technologies enable more sustainable business models and collaboratively oriented value creation. Key themes include degrowth theory, mass customization, and the societal implications of Industry 4.0. Grants & Labs: His research has addressed topics like modular smartphone design, recycling consortia dynamics (e.g., German Recyclate Forum), and computational reviews of customization literature. While specific grants aren’t detailed, his work frequently engages with interdisciplinary frameworks for sustainable degrowth and post-growth economics.

• Calcium Signaling in Cardiomyocytes
• Epigenetics in Cardiac Biology
• Cardiac Hypertrophy
• +۴ مورد دیگر

LLewelyn Roderick is a full professor at the Department of Cardiovascular Sciences , Faculty of Medicine, KU Leuven. He leads the Experimental Cardiology unit and contributes to doctoral committees and faculty governance. Research focuses on calcium signaling microdomains, epigenetic regulation of cardiac growth, and arrhythmogenesis mechanisms. Projects include studies on obesity-induced cardiomyocyte dysfunction, hypoxia sensitivity in cardiac cells, and DNA methylation in aging hearts. Current initiatives investigate connexin-43 hemichannels, neutrophil extracellular traps, and 3D cardiac models for drug discovery. His work spans fundamental cardiovascular biology and translational approaches, including collaborations on immune-monitoring technologies and cardiac progenitor cell metabolism. Teaching contributions include advanced courses on epigenetics and cardiovascular biology.

• 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.

Benoit Delhayeمشاهده پروفایل

استاد

• Tactile Neuroscience
• Biomechanics of Skin Deformation
• Haptics
• +۳ مورد دیگر

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.

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.

• Applied Physics
• Artificial Intelligence
• Data Analytics
• +۴ مورد دیگر

Dr. Vincent Ginis is a prominent academic at Vrije Universiteit Brussel (VUB), associated with the Applied Physics Department and the Data Analytics Lab. His roles include doctoral scholarship supervision and research leadership in interdisciplinary projects. He holds a strong background in applied physics, metamaterials, and AI-driven solutions for societal challenges. Current affiliations include: Principal Investigator in 19 funded projects (2010–2029), focusing on AI ethics, sustainable transitions, and historical data analysis Supervisor of 60+ student theses across master's and doctoral levels Recipient of 15+ prestigious awards including the Agathon De Potter Award and FWO/Barco Prize Research interests span: Applied Physics: Metamaterials, optics, and photonics AI Applications: Ethics, bias mitigation, and historical data digitization Social Sciences: Wealth inequality, intergenerational mobility, and policy impact analysis Recent work highlights include groundbreaking studies on: Large Language Models' performance in OCR tasks Bias patterns in AI citation practices Ethical frameworks for human-centered AI systems Notable collaborations span institutions in Europe and beyond, with 1295 citations across 120+ publications. His work is amplified through platforms like Strava data for urban planning and historical datasets from 19th-century archives.

• Heat Network Optimization
• Additive Manufacturing
• Heat Exchanger Design
• +۵ مورد دیگر

Maarten Blommaert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering Technology at KU Leuven. He leads the Applied Mechanics and Energy conversion (TME) unit at the Geel Campus and heads the Subdivisie EnergyVille TME. His research focuses on numerical optimization of thermal systems, particularly district heating networks, additive manufactured heat exchangers, and plasma-facing components for nuclear fusion reactors. Assistant Professor, KU Leuven Head, Subdivisie EnergyVille TME Member, KIES Institute Member, Leuven.AM Institute Member, EnergyVille Blommaert's research explores three main areas: heat network optimization through automated design tools like PATHOPT, additive manufacturing of high-performance heat exchangers, and thermally resistant wall modules for nuclear fusion reactors. His work combines computational modeling with advanced manufacturing techniques to enhance energy efficiency and reduce carbon emissions. Scientific awards include collaborative research contributions in: Optimizing district heating networks for renewable energy integration Developing next-generation heat exchangers Advancing nuclear fusion reactor technology Blommaert actively supervises research projects in thermal-fluid systems and collaborates with institutions like VITO and EnergyVille. His research team IDEAL (Innovative Design for Energy Applications Lab) specializes in free-shape and topology optimization techniques for energy components and systems.

• Power Systems Engineering
• HVDC Grid Technology
• Renewable Energy Integration
• +۲ مورد دیگر

Hakan Ergun serves as an Associate Professor at KU Leuven's Faculty of Engineering Science within the Department of Electrical Engineering (ESAT). He leads the Subdivisie EnergyVille Electa - Ergun and holds key roles in EnergyVille initiatives, including membership in the Division EnergyVille and the Council of the Faculty of Engineering Science. His research focuses on power systems engineering with specialization in HVDC grid technology, renewable energy integration, and stochastic optimization. Current projects include predictive maintenance for wind farms, congestion management for offshore HVDC grids, and development of hybrid AC/DC grid software tools. His work addresses critical challenges in grid resilience, uncertainty modeling, and multi-national offshore grid coordination. Recent publications demonstrate strong trends in hybrid AC/DC grid optimization under uncertainty, with emphasis on stochastic programming, polynomial chaos expansion, and risk-based operational models. Key themes include offshore grid protection, frequency stability with energy storage, and spatio-temporal variability in power system planning. Ergun actively supervises doctoral candidates including K. Phillips and C.K. Jat. His research portfolio includes significant EU-funded projects such as CROCODILE (Cross-border Coordination of Offshore Grids) and advanced HVDC grid development initiatives with multi-year funding through 2028-2029. He directs the EnergyVille Electa subdivision focused on electrical energy systems applications, collaborating with industry partners on real-world grid implementation challenges. Current work emphasizes practical solutions for multi-GW offshore energy hubs and resilient power systems leveraging HVDC transmission flexibility.

• Wind turbines
• SCADA systems
• Wind power
• +۳ مورد دیگر

Francisco Jara Avila is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering Sciences within the Engineering Technology department, specializing in wind energy systems and machine learning applications. His work focuses on improving wind turbine performance monitoring and predictive capabilities. His research interests center on wind turbine analytics , where he develops advanced methodologies for power prediction, fault detection, and performance optimization. Using techniques like deep learning, Gaussian process regression, and signal processing, his work addresses critical challenges in wind farm operations including uncertainty quantification, spatial correlation analysis, and drivetrain health monitoring. His publication record shows a clear trajectory in wind energy analytics, with increasing sophistication from basic fault detection (2023) to sophisticated uncertainty-aware power prediction frameworks (2025). His work consistently bridges theoretical machine learning approaches with practical wind farm operational challenges. While no specific awards are listed in the available information, his publications in reputable journals like IOP Journal of Physics: Conference Series and Energies demonstrate recognition in the wind energy research community. As a researcher focused on technical development rather than academic mentoring, there's no indication of student supervision activities in the available information. His work appears to be conducted within the Acoustics & Vibrations Research Group, collaborating with researchers like Helsen, Verstraeten, and Nowe on wind energy analytics projects.

Peter Eeckhoutمشاهده پروفایل

استاد

• Archaeology
• Pre-Columbian civilizations
• Andean archaeology
• +۵ مورد دیگر

Peter Eeckhout is a Full Professor in the Department of Art History and Archaeology at the Université libre de Bruxelles (ULB), specializing in pre-Columbian civilizations with a focus on Andean archaeology. Since the 1990s, he has directed excavations at Pachacamac, a major archaeological site in Peru that is now a UNESCO World Heritage Site. He is affiliated with the Centre de Recherches en Archéologie et Patrimoine (CReA) and has authored nearly 90 scientific articles along with multiple books published by academic presses in Lima, Brussels, Oxford, and Cambridge. Eeckhout earned his PhD in Philosophy and Letters in 1997 and has built his academic career at ULB. His fieldwork has primarily centered on the Central Coast of Peru, with Pachacamac serving as his main research location for over three decades. He has developed expertise in both archaeological methodology and theoretical interpretation of ancient Andean societies. Professor Eeckhout's research spans multiple dimensions of Andean archaeology, including ritual practices, urban planning, water management systems, and funerary customs. His work at Pachacamac examines everything from hydraulic infrastructure to textile production, sacrificial practices, and the impact of Inca expansion on local cultures. He employs a highly multidisciplinary approach, incorporating bioarchaeology, paleopathology, zooarchaeology, and forensic entomology to reconstruct ancient Andean lifeways. Eeckhout's publications reveal a consistent focus on Pachacamac while exploring diverse aspects of pre-Columbian civilizations. His recent work demonstrates increasing methodological sophistication, combining traditional archaeological approaches with scientific analyses like ancient DNA studies, drone surveys, and thermal imaging. His research shows particular interest in ritual spaces, cultural syncretism, and the relationship between environmental changes and human adaptation in the Andes. While specific awards aren't detailed in available sources, Eeckhout's leadership of long-term excavations at a UNESCO World Heritage Site and his publications with major academic presses indicate significant professional recognition. His books with Cambridge University Press and University Press of Florida represent substantial scholarly contributions to Andean archaeology. As director of the Ychsma Project at Pachacamac, Eeckhout has likely supervised numerous graduate students and researchers over the decades, though specific names aren't provided in available sources. His work appears consistently funded given the project's longevity since the 1990s, with recent publications indicating ongoing research support through at least 2025. The Centre de Recherches en Archéologie et Patrimoine (CReA) serves as Eeckhout's research base at ULB. His Pachacamac work involves international collaborations with specialists in diverse fields including Lawrence Owens (bioarchaeology), Céline Erauw and Fabienne Pigière (zooarchaeology), and Sylvie Peperstraete (mythology studies), forming a comprehensive research network focused on Andean archaeology.

• Machine Learning
• Bioinformatics
• High Performance Computing
• +۵ مورد دیگر

Daniel Peralta Cámara is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work spans Machine Learning , Bioinformatics , High Performance Computing , and Biometrics , with a focus on Single-Cell Data Analysis , Image Cytometry , and Missing Value Handling . Affiliation: Ghent University Academic Rank: Researcher Research Disciplines: Data Mining, Parallel Computing, Bioinformatics, High Performance Computing His research designs scalable machine learning frameworks for biological and engineering applications, including SCIP for morphological profiling and MSDeepAMR for antimicrobial resistance prediction. He explores advanced techniques like Polar Encoding for missing data and Fuzzy Rough Sets for classification uncertainty, contributing to one-class classification and novelty detection through Python libraries like Fuzzy-rough-learn 0.2 . Key Trends: Hybrid CNN-LSTM for sports analytics Time-series feature selection in healthcare UWB/IMU wearable integration for animal monitoring Dr. Peralta supervises PhD candidates like Maxim Lippeveld (2025) and Oliver Urs Lenz (2023). His collaborations span Ghent University researchers including Eli De Poorter , Chris Cornelis , and Yvan Saeys . Applications: Badminton strategy analysis Goat activity classification White blood cell identification

Jean-Philippe Platteauمشاهده پروفایل

استاد

• Development Economics
• Economics of Institutions
• Collective Action Problems
• +۷ مورد دیگر

Professor Jean-Philippe Platteau is a leading expert in Development Economics and Economics of Institutions at the University of Namur. He serves as a co-director for major research projects including Economic Development and Institutions (EDI) funded by DFID and the Gender and Development Project by WIDER. His work intersects with Sub-Saharan Africa and South Korea , focusing on institutional challenges in early development stages. PhD in Economics Research interests include informal credit/insurance markets, collective action problems in natural resource management, food security under market imperfections, social norms in development, formal vs. customary law, gender issues, family economics in poor countries, and the political economy of religion. Recent publications address aid allocation with optimal monitoring (2025), migration impacts on inheritance (2024), and institutional challenges (2023). His academic output spans theoretical models, empirical studies in Bolivia and Benin, and policy analyses. Dudley Seers Prize (1996) Francqui Chair (KUL 1999-2000, ULB 2011-2012) Raymond Barre Chair (Goethe 2018) He supervises major projects on topics like social norms dynamics , land markets , and religious influence on governance . His work contributes to UN Sustainable Development Goals related to poverty reduction and institutional development.