جستجوی استاد راهنمای دانشگاهی

• Control Theory
• Systems Engineering
• State Estimation
• +۳ مورد دیگر

Judicaël Mohet is a researcher at the Namur Institute for Complex Systems, part of the University of Namur, specializing in mathematical control theory and systems engineering. His work focuses on state estimation for infinite-dimensional systems with applications in engineering domains. His research interests span several interconnected areas in mathematical systems theory: Development of state observers for distributed parameter systems Sliding mode control techniques for infinite-dimensional models Frequency domain analysis of Kalman filtering approaches Mathematical modeling of reaction-convection-diffusion processes Application of Hilbert space theory to control problems His recent publications demonstrate a strong focus on theoretical developments with practical applications, particularly in handling measurement errors and disturbances in complex physical systems. Mohet's work bridges abstract mathematical concepts with engineering implementations, showing particular expertise in handling partial differential equation models. Mohet has been active in the academic community, participating in the Benelux Meetings on Systems and Control in both 2022 and 2023. His research output shows consistent productivity with two peer-reviewed journal articles published in 2023 in reputable control theory journals. He completed his Master's thesis titled "Estimation par modes glissants de l'état d'un système de convection, diffusion et réaction linéaire" in June 2020 under the supervision of Professor Joseph Winkin. His thesis work laid the foundation for his subsequent research on sliding mode state estimation techniques.

• Robotics
• Swarm Intelligence
• Simulation
• +۶ مورد دیگر

Muhanad Hayder Mohammed Mohammed is a Researcher at the Namur Institute for Complex Systems , specifically affiliated with the Faculty of Computer Science . His work focuses on robotics, swarm intelligence, and simulation technologies. Active in robotic swarm systems and decision-making mechanisms Developing intelligent laboratory automation for pharmaceutical industry applications Contributes to UN Sustainable Development Goals through environmental robotics research His recent publications highlight advancements in: Neural network-based control systems Distributed coordination algorithms Nature-inspired optimization techniques Site selection methodologies for autonomous agents

• Manufacturing Engineering
• Sustainable Manufacturing
• Additive Manufacturing
• +۴ مورد دیگر

Joost Duflou is a Full Professor at the Department of Mechanical Engineering, KU Leuven, leading the Manufacturing Processes and Systems (MaPS) research group. He holds key roles including Head of the Division Industrial Management, Traffic and Infrastructure, and Head of the Subdivision Design Methodology and Life Cycle Engineering. His research focuses on sustainable manufacturing, laser cutting technologies, circular economy strategies, and bio-inspired design. He actively promotes interdisciplinary collaboration through affiliations like Leuven.AM (Additive Manufacturing Institute) and serves on institutional councils such as the Sustainability Council and Mechanical Engineering Department Council. His teaching encompasses courses like Ecodesign, Project Management, and Engineering Entrepreneurship. Recent projects emphasize intelligent CAD support for manufacturability, heavy-duty laser cutting efficiency, and recycling innovations for e-waste. He has published extensively on topics ranging from cranial implant forming to copper slag valorization, with a strong emphasis on environmental impact assessments and industrial symbiosis. Key Projects : Design for Manufacturing (2024-2028), Heavy-duty Laser Cutting (2022-2026), Circular Economy Business Models (2022-2025) Grants & Funding : Multiple EU and industry-sponsored projects totaling over €5M in recent years Labs/Teams : Leuven.AM Institute, MaPS Research Group

Bart Kuykenمشاهده پروفایل

استاد

• Photonics
• Silicon Photonics
• Nonlinear Optics
• +۷ مورد دیگر

Bart Kuyken is a Professor at Ghent University (Photonics Group, INTEC Department) and affiliated with imec. His research focuses on advanced photonics technologies, including heterogeneous integration of materials like lithium niobate, gallium arsenide, and graphene onto silicon and silicon nitride platforms. Key areas include micro-transfer printing techniques, nonlinear optics, quantum photonics, and optoelectronic device integration for applications in telecommunications, sensing, and quantum computing. He leads projects on scalable fabrication methods for integrated photonic platforms, emphasizing high-speed modulators, mode-locked lasers, and entangled photon sources. His work bridges fundamental materials science with applied engineering, targeting commercial foundry-compatible processes. Recent innovations include ultra-low-loss waveguides, high-performance III-V lasers on silicon nitride, and cryogenic quantum electro-optic devices. Collaborations with imec highlight industry-relevant solutions for next-generation optical transceivers and AI/ML-enabled photonic systems. His research publications span 2021–2025, with a strong focus on advancing silicon photonics and overcoming integration challenges through novel printing and epitaxial techniques.

Denis Darquennesمشاهده پروفایل

پژوهشگر

• Coordination Languages
• Data Protection
• Tuple-based Systems
• +۴ مورد دیگر

Denis Darquennes is a computer science researcher affiliated with University of Namur, specializing in coordination languages and data protection systems. His academic career spans over three decades with significant contributions to tuple-based coordination models and data protection frameworks. His research focuses on the theoretical foundations of coordination languages, particularly examining multiplicities, density metrics, and expressiveness in tuple-space systems. Darquennes has developed formal methods for analyzing coordination patterns and has contributed to important data protection frameworks through European research initiatives. His publication record shows consistent research output from 1989 through 2020, with recent work emphasizing the expressiveness of data-based coordination languages and density metrics in distributed systems. The research demonstrates a clear progression from theoretical foundations to practical applications in data protection. Darquennes has been actively involved in major European research projects including COE-Profilage, RW-Euser, CE-Miauce, and SPFJUS-Phenix, where he contributed expertise in data protection and coordination language design. His work bridges theoretical computer science with practical privacy concerns in emerging technologies. His educational background includes doctoral research completed in 2017 on multiplicities in coordination languages, supervised by Jean-Marie Jacquet and Isabelle Linden at University of Namur, following master's level work on ant colony algorithms in 2005.

• Human Capital Formation
• Development Economics
• Social Mobility
• +۴ مورد دیگر

Dorien Emmers is an Assistant Professor (tenure track) at KU Leuven, affiliated with the Chinese Studies unit in the Faculty of Arts and the Department of Economics. She holds a joint research scholar position at Stanford Center on China's Economy and Institutions (SCCEI). Previously, she served as a Postdoctoral Research Scholar at Stanford SCCEI and lecturer at KU Leuven Chinese Studies Group. Dr. Emmers completed her Ph.D. in Economics at KU Leuven's LICOS Centre for Institutions and Economic Performance, and holds dual Master's degrees in Sinology (MA) and Research in Economics (MSc) from KU Leuven, both earned magna cum laude. Her interdisciplinary background bridges Chinese area studies and economic methodology. Her research focuses on human capital formation and social mobility in China, employing field experiments to evaluate early childhood interventions in rural communities. Current projects include developing scalable assessment tools for early skill formation and investigating multigenerational caregiving dynamics. Key research areas encompass: Longitudinal analysis of cognitive capability transmission Psychosocial interventions for vulnerable children Technology-enabled skill assessment systems Policy frameworks for common prosperity Her publications demonstrate consistent focus on human capital development through cluster-randomized trials in rural China, with recent work expanding into screen exposure impacts and digital learning efficacy. Research consistently addresses disparities in resource-limited regions through mixed-methods approaches. Dr. Emmers holds multiple institutional leadership roles including membership in the Faculty Councils of Arts and Economics & Business. She directs significant research initiatives such as 'Big Data on Little People' (2023-2028) exploring early skill assessment, and 'All Hands on Deck' (2025-2028) studying multigenerational caregiving models.

• Ecology
• Water Quality
• Biodiversity
• +۶ مورد دیگر

Peter Goethals is a Professor at Ghent University (UGent) specializing in environmental science with extensive research in aquatic ecosystems, water quality assessment, and biodiversity metrics. His work bridges theoretical ecology with practical environmental management solutions across multiple continents. His research interests focus on Ecology , Water Quality , Biodiversity , Environmental Management , and Macroinvertebrates . Goethals has developed innovative approaches for ecosystem service assessment, habitat suitability modeling, and pollution impact analysis, with particular expertise in applying Bayesian belief networks and data-driven modeling techniques to complex environmental systems. Analysis of his 15 most recent publications reveals a strong emphasis on marine and freshwater ecosystems , with significant work in Ecuador and Belgium . His research spans from molecular-level biomarker analysis to large-scale climate impact assessments, demonstrating remarkable interdisciplinary integration. Recent work increasingly incorporates AI applications and advanced monitoring technologies like UAVs for environmental assessment. Goethals has supervised numerous PhD students including Diego Gustavo Panique Casso, Yanan Hu, and Jawad Ghafoor, with recent graduates in 2024-2025. His research has significant policy implications for water resource management and ecosystem conservation, particularly in developing regions facing rapid urbanization and climate challenges.

• Machine Learning
• Surrogate Modeling
• Multi-Objective Optimization
• +۷ مورد دیگر

Ivo Couckuyt is an Assistant Professor at the Faculty of Engineering and Architecture , Ghent University, affiliated with the Department of Information Technology and the Internet Technology and Data Science Lab . He actively contributes to research projects funded by the Research Foundation - Flanders (FWO) and regional grants. Bayesian multi-objective optimization Surrogate modeling for engineering Uncertainty quantification Radar-based healthcare systems His research spans machine learning , computational engineering , and multi-fidelity simulations , with recent work focusing on physics-informed optimization, efficient data transmission for radar systems, and nuclear fuel analysis. Publications emphasize Bayesian frameworks and gradient-enhanced kriging for complex systems. As a PhD supervisor and promotor , he has guided 16 doctoral researchers across diverse topics including microwave filters , metamaterials , and radar healthcare applications . Current projects target additive manufacturing for electric machines and data-efficient generative models , combining uncertainty quantification with multi-physics simulations .

• Cloud Computing
• Resource Management
• Container Technology
• +۹ مورد دیگر

Veerle Ongenae is an Associate Professor at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). She is affiliated with the Internet Technology and Data Science Lab and has been actively contributing to research in cloud computing, resource management, and related fields for over two decades. Her research interests focus on cloud computing technologies, including containerization, resource management strategies, multi-tenancy architectures, and migration of legacy systems to cloud environments. She has also explored applications in medical software, edge computing, and wireless sensor networks. Her work spans both theoretical frameworks and practical implementations, often validated through experimental testbeds like Raspberry Pi clusters. Dr. Ongenae's publication record shows a clear evolution from foundational mathematical work in the 1990s to contemporary cloud computing research. Her recent publications (2015-2024) demonstrate expertise in containerized cloud environments, resource allocation strategies, and the application of cloud technologies to various domains including medical software and educational frameworks. She frequently collaborates with researchers like Filip De Turck, Pieter-Jan Maenhaut, and Bruno Volckaert. Her work shows particular strength in bridging simulation with experimental validation, as evidenced by her Raspberry Pi testbed research. The publications reveal consistent contributions to both journal articles (A1 type) and conference papers (C1, P1 types), with a focus on practical implementations and performance evaluation. Her research has practical applications in medical software migration, educational technology, and distributed sensor networks, demonstrating the interdisciplinary nature of her work which connects computer science with healthcare, education, and industrial applications.

• 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.

• Wireless Communications
• Computer Networks
• Smart Sensors
• +۹ مورد دیگر

Spilios Giannoulis is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture , Department of Information Technology (EA05). He actively contributes to wireless networking research through collaborations with IMEC and leadership in projects like 6G-SHINE and CODYSUN. Current Position: IMEC Postdoctoral Researcher University: Ghent University (UGent) Department: Information Technology (EA05) His research focuses on wireless communications and network protocol development , particularly addressing: Spectrum Sharing in heterogeneous networks MAC Protocol Design for IoT and LPWAN Wireless Testbed Development (WiSHFUL, LoRa) Dynamic Resource Allocation in ad hoc systems Recent publications highlight advancements in: 6G short-range wireless architectures Energy-efficient OTA software updates Cross-technology synchronization mechanisms Distributed spectrum sharing paradigms Protocol portability across radio platforms He serves as PhD supervisor and copromotor in funded research initiatives like the 2024-2026 Better than Wired Reloaded project focused on industrial wireless control systems.

• Semantic Web
• Knowledge Graphs
• Linked Data
• +۳ مورد دیگر

Pieter Heyvaert is a Postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Electronics and information systems (EA06), affiliated with IMEC. His research focuses on semantic web technologies, knowledge graphs, and linked data systems. Heyvaert's research interests span several areas within computer engineering and semantic technologies: Semantic Web and Linked Data technologies Knowledge Graph generation and validation RDF mapping languages (particularly RML) Data integration from heterogeneous sources Sensor data processing and knowledge extraction Anomaly detection and root cause analysis His publication record demonstrates a consistent focus on practical applications of semantic technologies. Heyvaert has developed tools like the SAD Generator for creating knowledge graphs from academic event data and contributed significantly to RML-based systems. His work bridges theoretical semantic web concepts with practical implementations that address real-world data integration challenges across domains including healthcare, social media archiving, and IoT systems. Heyvaert has collaborated extensively with researchers in the semantic web community, particularly with Anastasia Dimou, Ruben Verborgh, and Ben De Meester. His recent work shows increasing application of semantic technologies to pressing societal issues like pandemic response through the COVID-19 literature knowledge graph.

• Wireless Communication
• Dynamic Spectrum Sharing
• Artificial Intelligence in Networking
• +۴ مورد دیگر

Irfan Jabandžić is a Postdoctoral researcher affiliated with Ghent University 's Faculty of Engineering and Architecture under the Department of Information Technology (EA05) , with collaboration from IMEC. His research spans wireless communication systems, focusing on dynamic spectrum sharing, AI-driven network collaboration, and infrastructure optimization for next-generation wireless technologies. His work emphasizes dynamic spectrum sharing and collaborative intelligent radio networks (CIRNs) , leveraging artificial intelligence to predict and avoid spectrum collisions in hybrid environments. He has developed systems like the SCATTER approach for distributed spectrum allocation and the CODYSUN paradigm for satellite communications. His open-source wireless spectrum hypervisor enables multiplexing of OFDM signals across technologies like LTE, 5G-NR, and NB-IoT. Publications highlight his contributions to 5G network densification , cognitive radio , and multi-carrier signal processing . He has participated in the DARPA Spectrum Collaboration Challenge , designing protocols validated through Colosseum RF emulation and field trials. His research also addresses MAC protocol portability across IoT platforms.

• Swarm Robotics
• Collective Intelligence
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Yara Khaluf is a postdoctoral researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology, with a focus on swarm robotics and collective intelligence. Her work explores: Swarm intelligence algorithms for foraging and path navigation Time perception modulation in human-AI interaction Scale-invariant dynamics in collective decision-making Multi-robot shepherding systems Research Trends : Her publications demonstrate interdisciplinary work combining robotics, cognitive science, and environmental modeling, with emphasis on decentralized control systems, temporal cognition applications, and bio-inspired swarm algorithms. Collaborative Network : She works extensively with Prof. Pieter Simoens and other researchers across topics like: Collective foraging optimization Swarm behavior modeling Human-robot time synchronization Environmental interaction algorithms

Merlijn Sebrechtsمشاهده پروفایل

پژوهشگر

• Computer System Architecture
• Computer System Security
• Cryptography, Privacy and Security
• +۹ مورد دیگر

Merlijn Sebrechts is a postdoctoral researcher and policy officer at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology (EA05). His work focuses on cloud-native technologies, edge computing, and secure system design. Research areas include Kubernetes, WebAssembly, and confidential computing He teaches computer science courses in the Information Engineering Technology program Expertise spans trusted execution environments, software supply chain security, and cloud orchestration His recent publications analyze edge computing security, lightweight virtualization, and intent-based resource management. Key contributions include decentralized orchestration frameworks and benchmarks for cloud performance. Merlijn maintains strong ties to open-source ecosystems through involvement with Kubernetes, Docker, and the Ubuntu community.