جست‌وجوی استاد و پژوهشگر

• Smart Grids
• Distributed Control Systems
• Renewable Energy Integration
• +۶ مورد دیگر

Geert Deconinck is a full professor at KU Leuven , leading the Electrical Energy Systems and Applications (ELECTA) research group within the Department of Electrical Engineering (ESAT). He also serves as scientific leader of the EnergyVille research center's algorithms domain, focusing on smart electrical networks and thermal systems. M.Sc. and Ph.D. from KU Leuven Head of ELECTA since 2012 (10 professors, 8 postdocs, 70+ PhDs) Over 8 million EUR research budget in last 5 years 44 completed PhDs and 10 current advisees IEEE Transactions editorial board member His research spans smart grid architectures , distributed control , and cyber-physical security , with recent focus on EV-grid integration , renewable energy democratization , and multi-carrier energy systems . Current projects include: Smart Charging - E-Mobility meets Renewable Energy Early Detection and Defense Systems for Smart Grids Open-source P2P energy sharing platforms Microgrid control strategies for PV-battery systems Awarded IET Fellow and IEEE Senior Member status, his work combines machine learning with power systems engineering through both theoretical modeling and experimental validation . He has contributed over 575 publications with 9800+ Google Scholar citations.

• Operations Research
• Operations Management
• Sequencing and Scheduling
• +۶ مورد دیگر

Roel Leus is a full professor at KU Leuven's Faculty of Economics and Business (FEB), part of the Operations Research and Statistics Research Group (ORSTAT). He holds roles such as Program Director for the Business Engineering programs and Chairman of the KU Leuven Advisory Committee for the Chinese Region. He earned his PhD in Applied Economics from KU Leuven in 2003, focusing on project planning under uncertainty. His research emphasizes operations research and management, particularly scheduling, project planning, and decision-making under uncertainty. Education: PhD in Applied Economics (KU Leuven, 2003); Master's in Business Engineering (Handelsingenieur, KU Leuven, 1998). He has held academic positions since 2003, including adjunct professorships at Beijing Jiaotong University. His administrative roles include heading ORSTAT research group (2012–2016) and program directorships. Research Interests: Sequencing and scheduling, project planning under uncertainty, discrete optimization, and practical quantitative decision support. He has supervised 12 graduated PhD students as primary supervisor and contributed to numerous publications in top journals like INFORMS Journal on Computing and European Journal of Operational Research. Teaching: Courses include 'Introduction to Operations Research,' 'Operations Research,' and 'Applications of Operations Research.' He coordinates master's theses in Data Science and Business Analytics, focusing on practical optimization problems. Grants and Projects: Acquired over €2 million in research funding from private companies, the National Bank of Belgium, and KU Leuven. His work spans satellite scheduling, supply chain management, and cross-docking logistics. Labs/Teams: Active in ORSTAT, collaborating on projects like drone-assisted delivery and robust scheduling algorithms. His research bridges theoretical advancements with real-world applications in logistics, manufacturing, and aerospace.

Bruno Volckaertمشاهده پروفایل

استاد

• Cloud Computing
• Cybersecurity
• Internet of Things
• +۷ مورد دیگر

Bruno Volckaert is a Professor in the Department of Information Technology at Ghent University and Senior Researcher at imec. He obtained his Master of Computer Science (2001) and PhD in Grid Computing Resource Management (2006) from Ghent University. His research focuses on distributed cloud systems for Smart Cities and Industry 4.0 applications. Volckaert's expertise spans: Reliable distributed cloud backend systems Autonomous optimization of cloud applications Cybersecurity through machine learning IoT data processing architectures Kubernetes-based container orchestration Edge-to-cloud continuum computing His publications demonstrate strong focus on: cloud-native technologies, Kubernetes optimization, cybersecurity frameworks, and distributed AI systems. Recent work emphasizes reinforcement learning for auto-scaling, secure edge computing, and intrusion detection systems. He has contributed to over 40 national/international research projects and authored 100+ publications. Current affiliations include leadership roles in: IDLab Research Unit (Ghent University) imec Research Center

• Wireless Networks
• Time-Sensitive Networking (TSN)
• WiFi and UWB Integration
• +۷ مورد دیگر

Jetmir Haxhibeqiri is a Postdoctoral Researcher at Ghent University 's Faculty of Engineering and Architecture , Department of Information Technology. His work focuses on Time-Sensitive Networking (TSN) over wireless systems, WiFi optimization, and Industrial IoT solutions. Key projects: IMEC Postdoctoral Fellowship Collaborations: Jeroen Hoebeke (UGent), Ingrid Moerman (UGent), Xianjun Jiao (UGent) Research Interests : Wireless network coordination, SDN integration for heterogeneous networks, low-latency communication, and machine learning applications in network optimization. Specialized in WiFi-LPWAN coexistence , In-Band Network Telemetry , and Cross-Technology Synchronization . Recent Publications : 2025 work on Wi-Fi-UWB synchronization, 2024 studies on coordinated spatial reuse in WiFi 7, and 2022 research on hardware-efficient PTP clock synchronization. Contributions span from theoretical models to practical implementations in industrial environments. Technical Expertise : Network densification strategies, interference management, and performance evaluation of large-scale wireless deployments. Developed simulation frameworks for LoRaWAN and WiFi TSN, with a focus on ns-3 validation. Education : PhD in Industrial Wireless Communication (2019, Ghent University).

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.

• 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.

• 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

• Artificial Intelligence
• Reinforcement Learning
• Bioinformatics
• +۴ مورد دیگر

Leander Schietgat is a postdoctoral researcher at Vrije Universiteit Brussel (VUB) working within the Informatics and Applied Informatics department. He is affiliated with the Federated Labs AI and Robotics research group and holds an ORCID identifier (0000-0002-2097-0974). His research spans multiple interdisciplinary domains where artificial intelligence intersects with practical applications. Dr. Schietgat's research interests focus on applying machine learning techniques to diverse domains. His work in reinforcement learning addresses real-world manufacturing challenges through job shop scheduling algorithms. In bioinformatics, he investigates metagenomics and haplotype analysis for microbial communities. His research also extends to computational toxicology, developing methods for toxicophore detection and mutagenicity prediction. This interdisciplinary approach demonstrates his ability to adapt AI methodologies across different scientific domains. His publication record shows consistent output with four research articles between 2021-2023, demonstrating expertise in both theoretical machine learning frameworks and practical implementations. The research trends indicate a strong focus on applying explainable AI to trustworthy control systems, with particular emphasis on reinforcement learning applications in manufacturing and biological systems. Dr. Schietgat is actively involved in multiple research projects including: CTRLxAI=T(H)RUST (2022-2026): CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems IOF GEAR: Artificial Intelligence Lab (2022-2026) TAILOR: Foundations of Trustworthy AI (2020-2024) ESF project: A people-oriented AI training through serious game experiences (2019-2021) RAINboW: Responsible AI for a smart connected world (2019-2022) He is scheduled to participate in the event 'Europe's Vision on Responsible AI: Research, Practice, Policy' as an organizer in April 2025, indicating his active engagement with the broader AI policy community.

• Content Distribution Networks
• Multimedia Streaming
• Fog Computing
• +۶ مورد دیگر

Tim Wauters is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05), with a focus on network systems and multimedia delivery. His work spans content distribution networks, fog computing, and machine learning applications in networking. Academic Affiliation: Ghent University Research Focus: Network Orchestration, Immersive Media Delivery, Containerized Cloud Systems His research explores network-aware solutions for optimizing multimedia streaming and cloud applications, including reinforcement learning for auto-scaling, fog computing for resource allocation, and QoE-centric delivery frameworks. Recent work addresses intrusion detection systems with hierarchical ML models and lifecycle-based datasets. Key article trends (2023-2025) show specialization in Kubernetes orchestration , low-latency immersive media , and ML-driven network security , published in venues like IEEE Transactions and ACM conferences. Scientific Awards FWO Fellowship (2008-2014) for multimedia streaming research Continued FWO funding for 6G networking projects As a PhD supervisor , he has guided research on topics including volumetric video delivery, fog computing resource allocation, and adaptive streaming protocols. His work often involves cross-disciplinary collaboration with IMEC and academic-industry partnerships.

• Wireless Communication
• 5G and Beyond Networks
• Massive MIMO
• +۷ مورد دیگر

Sofie Pollin is a Professor at KU Leuven's Department of Electrical Engineering (ESAT), affiliated with the Faculty of Engineering Science. She leads research in wireless systems and networked systems, focusing on 5G/6G technologies, Massive MIMO, cell-free communication, and non-terrestrial networks. Her work includes integrating communication and sensing, mmWave/THz systems, and sustainable electronics. She holds positions in Leuven One Health and LUSI Urban Studies Institute. Dr. Pollin earned her PhD in 2006 (with honors) from KU Leuven on cross-layer optimization for wireless systems, followed by post-doctoral research at UC Berkeley. She previously served as principal scientist at imec Leuven, working on cognitive radio and software-defined radio for LTE/WLAN standards. Her research has produced numerous publications and collaborations globally. Her current projects span spectrum analytics, machine intelligence in radio access, 6G resource clustering, and resilient healthcare networks. She actively promotes diversity as a faculty diversity promoter and leads initiatives through FITCE.be. Research interests prominently feature aerial networks, integrated ISAC (sensing/communication), and battery-less IoT. Recent work emphasizes mmWave VR systems, light-RF energy harvesting, and radar-based health monitoring. Her publications address technical challenges in beamforming, interference cancellation, and 6G testbed development.

Laurent Vanbeverمشاهده پروفایل

دانشیار

• Network Programmability
• Internet Routing
• Network Verification
• +۵ مورد دیگر

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 .

• Project Management
• Data-Driven Decision Making
• Earned Value Management
• +۳ مورد دیگر

Mario Vanhoucke is a Full Professor of Decision Sciences at Vlerick Business School, and concurrently holds positions as Professor at Ghent University (Operations Management and Information Science Centre) and University College London (UCL School of Management). He specializes in data-driven project management, focusing on earned value management, schedule risk analysis, and optimizing resource efficiency. Education: Doctor in Operations Management from KU Leuven. He is also a Partner at OR-AS, a software development firm, and has authored five books, including The Data-driven Project Manager , which integrates practical case studies with theoretical frameworks. Research interests include: Project scheduling and control mechanisms Integration of AI and digital tools in project management Risk analysis methodologies for large-scale projects Data-driven decision frameworks for organizations Notable awards: Professor of the Year (American College of Performance Management, 2022) IPMA Research Award (2008 and 2020) Advising and Grants: Teaches across programs: Full-Time MBA, Beijing International MBA, Masters in General Management, and Executive Project Management courses Develops proprietary project management software tools for enterprise integration Labs/Teams: Leads research initiatives at Vlerick’s Decision Sciences department and collaborates with Ghent University’s Operations Management Centre.

• Human-Robot Interaction
• Automated Assembly and Disassembly
• Flexible Grippers and Manipulators
• +۵ مورد دیگر

Karel Kellens serves as an Associate Professor in the Department of Mechanical Engineering within the Faculty of Engineering Technology at KU Leuven. He holds dual campus appointments at Diepenbeek and Leuven, coordinating research and education initiatives for Materials and Mechanical Engineering across both Geel and Diepenbeek campuses. As a senior academic staff member, he participates in the Council of the Faculty of Engineering Technology and the Mechanical Engineering Department Council, contributing to institutional governance and academic strategy. His research centers on Human-Robot Interaction , Automated Assembly and Disassembly , and Energy-Efficient Manufacturing , with particular emphasis on flexible gripper systems and circular economy applications. Current projects span robotic demanufacturing of batteries (AUDRI, DEMAN), 3D concrete printing (3D4WALL), and high-speed aseptic filling lines (ISOLATOR5.0_IRVA), demonstrating strong industry alignment in sustainable manufacturing and waste valorization. Analysis of his recent publications reveals a dominant focus on waste sorting automation and battery remanufacturing , with technical contributions in multi-robot coordination algorithms, adaptive gripper design, and radiation mapping for hazardous environments. His work consistently bridges theoretical robotics with industrial implementation, particularly in pharmaceutical and recycling sectors. Kellens actively supervises doctoral candidates including Engelen, Peeters, and Cramer, with current grants totaling over €10 million in collaborative European and national projects. He leads the Robotics, Automation and Mechatronics (RAM) research unit at Diepenbeek Campus, which operates specialized laboratories for robotic disassembly, gripper development, and sustainable manufacturing validation. Future research directions emphasize autonomous demanufacturing systems and resource-efficient circular production models.

• Computer Networks
• Software Defined Networking (SDN)
• Network Function Virtualization (NFV)
• +۵ مورد دیگر

Wouter Tavernier is an Associate Professor at Ghent University and a Postdoctoral researcher at IMEC, affiliated with the Faculty of Engineering and Architecture's Department of Information Technology (EA05). He leads research at the Internet Technology and Data Science Lab, focusing on networking innovations for future communication systems. His research explores: Network architectures for 5G/6G, HPC, and deterministic systems SDN/NFV orchestration for cloud/edge services Optical networking including programmable photonics and routing optimization Network resilience through fault-tolerant protocols and traffic engineering Publications (2020–2025) emphasize: Deterministic networking for real-time systems and industrial IoT Resource optimization in HPC/cloud networks Convergence of optical/wireless technologies in 6G Decentralized edge intelligence via programmable swarm solutions He advises doctoral researchers on projects including: QoS Optimization in 6G Networks (Jakob Miserez) Control Strategies for Network-Cloud Services (Abhinaba Chakraborty) Software-Based Networking for 6G (Mohammadreza Heydarian) and secured grants such as Network optimization for HPC workloads (Special Research Fund). At the Internet Technology and Data Science Lab, he collaborates on EU-US initiatives like the Next Generation Internet program, advancing open internet architectures.

• Operations Research
• Logistics Optimization
• Scheduling Algorithms
• +۵ مورد دیگر

Jeroen Belien is a Full Professor at the Faculty of Economics and Business (FEB) at KU Leuven. He leads the Operations Management Research Group and serves as Head of Subdivision 42 at the Brussels Campus. His roles include coordinating research activities and contributing to the KU Leuven Institute for Mobility (LIM). His research focuses on operations management, with emphasis on optimization models for logistics, waste collection, sports scheduling, and healthcare operations. He has pioneered educational tools like role-playing games for teaching linear programming and inventory management concepts. His work integrates simulation, mathematical programming, and real-world case studies. Key contributions include developing timetabling algorithms for international competitions, optimizing bio-waste collection in urban areas, and analyzing collaborative shipping strategies in the sharing economy. His publications span over 50 articles in journals like Operations Research for Health Care and INFORMS Transactions on Education. Belien actively engages in educational innovation through game-based learning and case competitions, emphasizing practical applications of operations research methods.