جستجوی استاد راهنمای دانشگاهی

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.

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

Ruben Verborgh is a Professor of Decentralized Web Technology at the Ghent University – imec and a Visiting Fellow at the Oxford Martin School (University of Oxford). He leads the Internet Technology and Data Science Lab (IDLab) and co-founded the Solid platform with Tim Berners-Lee to re-decentralize the Web. His research focuses on Linked Data Fragments , a paradigm for Web-scale query execution, and explores decentralized data governance , user-controlled data ownership , and rule-based Web agents for policy enforcement. He has co-authored two books on Linked Data and contributed to over 250 publications. Recent articles highlight trends in decentralized data ecosystems , including ODRL policy interoperability , event notification systems , and personal data vaults . His work bridges Linked Data , hypermedia APIs , and privacy-preserving technologies . Verborgh collaborates with institutions like MIT, Oxford, and the European Commission, and advises companies through Inrupt . His labs ( IDLab , Solid Ecosystem ) focus on sustainable data-driven societies.

• Decentralization
• Linked Data
• Querying
• +۷ مورد دیگر

Prof. Xing Yang is a Professor at KU Leuven's Institute for Sustainable Metals and Minerals (ISM2), leading the Process Engineering for Sustainable Systems (ProcESS) research group. His work focuses on developing membrane-based technologies for sustainable resource recovery and environmental protection, with strong emphasis on metallurgical and wastewater applications. His research centers on advanced membrane engineering for separation processes, particularly membrane distillation, electrodialysis, and solvent extraction-based systems. Key interests include designing stimuli-responsive membranes, optimizing ion-selective transport, and developing energy-efficient processes for metal recovery from end-of-life batteries and industrial waste streams. His work bridges materials science, chemical engineering, and environmental sustainability to address critical resource scarcity challenges. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on lithium and transition metal recovery through electro-driven membrane processes. He pioneers innovations in membrane architecture – including macrocycle-based channels, zwitterionic coatings, and PVDF modifications – to achieve unprecedented selectivity in complex matrices. His research consistently targets industrial applicability, with demonstrated applications in battery recycling, wastewater valorization, and CO 2 capture systems. The ProcESS research group operates within KU Leuven's Institute for Sustainable Metals and Minerals, collaborating across metallurgy, environmental engineering, and materials science disciplines. Their work integrates experimental membrane fabrication with process modeling to develop scalable solutions for circular economy implementation in resource-intensive industries.

• Membrane Science and Engineering
• Sustainable Resource Recovery
• Process Engineering for Environmental Applications
• +۳ مورد دیگر

Jo Nijs is a Professor at Vrije Universiteit Brussel (VUB), affiliated with the Department of Physiotherapy, Human Physiology and Anatomy. His work focuses on chronic pain mechanisms, chronic fatigue syndrome, and neurophysiological adaptations. He leads the 'Pain in Motion' research group and has authored over 950 publications with an h-index of 73. Research interests include: chronic musculoskeletal pain pathophysiology, central sensitization, and translational strategies for pain management. Notable projects include investigating epigenetic mechanisms in chronic pain and interdisciplinary approaches to osteoarthritis treatment. Recipient of the 2020 Francqui Collen Chair and 2017 Excellence in Research Award Supervised 73 students in physiotherapy and pain science Active in international collaborations across 25+ countries Recent research emphasizes pain neuroscience education efficacy, pain-sleep interactions, and immune mechanisms in chronic conditions. His work bridges clinical practice with advanced neuroimaging and molecular biology techniques.

• Pain Management
• Chronic Fatigue Syndrome
• Chronic Musculoskeletal Pain
• +۴ مورد دیگر

Prof. Wim Desmet is a full professor at the Faculty of Engineering Science and head of the Department of Mechanical Engineering at KU Leuven . His research focuses on advanced modeling techniques for mechanical systems, including: noise and vibration control in automotive and industrial systems computational acoustics and interval field uncertainty modeling metamaterials for broadband vibroacoustic performance AI-driven diagnostic systems in renewable energy and manufacturing Current research projects address challenges in electric vehicle drivetrains, wind turbine monitoring, and multi-physical digital twin development. He actively contributes to academic governance as: Managing Director of KU Leuven Head of Subdivision HIST Chair of multiple executive committees Member of 15+ academic and administrative councils

• Noise Abatement in Machines and Vehicles
• Numerical Modeling in Mechanics
• Automotive Structures and Dynamics
• +۱۲ مورد دیگر

Prof. Tom Van Gerven is a chemical engineering specialist at KU Leuven's Process Engineering for Sustainable Systems (ProcESS) group. His research focuses on process intensification using alternative energy forms (ultrasound, microwaves, light) for sustainable metallurgy, mineral carbonation, and solvent extraction applications. He leads innovations in low-grade ore processing and carbon capture technologies. Key Research Areas: Process intensification, green metallurgy, CO₂ utilization, and advanced crystallization techniques Recent Work: 2025 publications highlight reactor optimization, mineral carbonation of industrial residues, and acoustic/microwave-assisted separations Technical Expertise: CFD modeling, sonochemical reactors, ionic liquid extraction, and environmental impact analysis

• Process Intensification
• Chemical Engineering
• Sustainable Metallurgy
• +۳ مورد دیگر

Omar Hegazy is a Professor in Electrical Engineering and Power Electronics at Vrije Universiteit Brussel (VUB), affiliated with the MOBI - Electromobility Research Centre. He leads research in power electronics systems, electric vehicle drivetrains, and energy management. His work focuses on reliability, WBG semiconductors, and sustainable transportation systems. Education details are not explicitly provided, but his extensive publication record and project leadership imply advanced academic qualifications. Research interests include power electronics, battery management systems, hybrid/fuel cell vehicles, and V2X technologies. His projects address challenges in electric vehicle infrastructure, grid integration, and renewable energy systems. Key trends in his articles include digital twin development for electric trucks, advanced thermal management of SiC devices, and optimization of DC charging systems. His work emphasizes practical applications like modular converters, fault-tolerant drives, and interoperable charging solutions. Awarded Best Master Thesis (2019), Best Paper (2024), and Optimal Design Recognition (2016) Supervised over 49 theses, including master's and doctoral studies in power electronics and EV systems Secured funding for projects like HiPower 5.0, HARPOONERS, and FLEXMCS Labs/Teams: Active in MOBI's Electromobility Research Centre, collaborating on advanced power electronics and e-mobility solutions. Involved in interdisciplinary teams for microgrid design and DC charging infrastructure.

• Power Electronics Systems
• Electric Vehicles
• Battery Management Systems
• +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).

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

Kelly Ickmans is a Professor at the Vrije Universiteit Brussel's Department of Human Physiology and Anatomy, specializing in pain research. She leads interdisciplinary projects addressing chronic pain mechanisms, pediatric pain management, and the neuromusculoskeletal consequences of conditions like chronic fatigue syndrome and hypermobility disorders. Her work integrates clinical research, education, and translational approaches to improve rehabilitation outcomes. Research Focus: Chronic pain pathophysiology, central sensitization, exercise interventions, and pain education for pediatric and adult populations. She has pioneered studies on adrenergic dysfunction in myalgic encephalomyelitis and developed pain science education protocols for cancer survivors. Collaborations: Active in Belgium and internationally, with projects funded by FWO and university grants. Her teams collaborate across physical therapy, neurology, and pediatrics to address comorbidities like pain-sleep disturbances in childhood cancer survivors. Grants & Projects: 10+ active/funded projects including: Epigenetic mechanisms of exercise-induced pain (2024-2028) Pain education for pediatric cancer survivors (PANACEA Study) Rehabilitation paradigms for functional abdominal pain disorders Advising: Supervises 34+ theses and doctoral projects, focusing on clinical research and translational medicine.

• Pain Medicine
• Chronic Pain
• Central Nervous System Sensitization
• +۷ مورد دیگر

Frederik Questier is a Researcher in Educational Science at Vrije Universiteit Brussel (VUB), located at Pleinlaan 2 in Brussels, Belgium. He holds a PhD in clustering and feature selection methods, demonstrated through his supervision of doctoral theses such as 'Contributions to Clustering and Feature Selection Methods for Clustering' (2005). His work focuses on educational technology, blended learning models, and international ICT initiatives in education systems. Research Interests: Questier explores the intersection of technology and education, including digital media literacy, mobile-assisted language learning (MALL), open-source software implementation, and public health education. His recent work on face masks during the COVID-19 pandemic highlights interdisciplinary collaboration between education and healthcare sectors. Projects & Grants: Active in both fundamental and applied research, he leads projects like the FOD27 e-health initiative (2016–2019) and MarMOOC (2016–2020), which developed hybrid learning systems in Moroccan universities. He also oversees Ghana's ICT education project (2013–2015) and manages international collaborations through VLIR-UOS in Ethiopia. Awards & Recognition: While no explicit awards are listed, his extensive publication record (113+ outputs) and h-index of 17 reflect peer recognition. His work on digital media literacy (2024) and MALL (2019) have garnered significant citations. Labs & Teams: Collaborates with institutions like Routledge (peer-review committee), Vlaams Forum voor Onderwijsonderzoek, and partners in Morocco, Ghana, and Ethiopia through projects addressing ICT integration in education systems.

• Educational Technology
• Blended Learning
• Digital Media Literacy
• +۳ مورد دیگر

Florian Trauner is a Professor of Political Science and Dean of the Brussels School of Governance at Vrije Universiteit Brussel (VUB). He specializes in EU migration, asylum, and internal security policies, with a focus on governance dynamics and external policy impacts. He co-founded the VUB's Brussels Interdisciplinary Research centre on Migration and Minorities (BIRMM), uniting over 100 researchers across 11 disciplines. His work bridges academic research and policy, including ERC-funded projects on coercive EU mobility rules and EU-West African migration cooperation. Education: PhD (2008, Vienna and Copenhagen) and Habilitation (2015, Political Science). He has held visiting positions at institutions like the College of Europe (Warsaw) and University of Renmin (China). His research appears in journals like West European Politics and Journal of Ethnic and Migration Studies , addressing topics such as EU deterrence messaging, bureaucratic migration politics, and the impact of crises on asylum systems. Key projects include analyzing EU migration cooperation with West Africa and the role of supranational institutions in Justice and Home Affairs. He has advised the European Commission, Parliament, and IOM, contributing to policy debates on return policies, border management, and the rule of law. Recent media engagements address Frontex oversight, Greek pushbacks, and EU migration hubs. Teaching includes EU immigration policy at the College of Europe. Supervised student theses include analyses of EU-Turkey cooperation, economic sanctions, and China’s diplomatic strategies. His awards include the EU Consent PhD Award (2007) and recognition for special issue curation (2011).

• EU Migration Policy
• Asylum Systems
• Internal Security Policies
• +۳ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Evy Rombaut serves as a postdoctoral researcher at the MOBI Electromobility Research Centre, Vrije Universiteit Brussel, specializing in Business Technology and Operations Management. Her research focuses on autonomous vehicle systems, sustainable transportation, and urban mobility optimization within the Flemish Institute for Technological Research ecosystem. Her primary research interests include autonomous vehicles (100% fingerprint match), logistics systems (24-28% focus), electric vehicle integration (22-31% emphasis), and vehicle-to-grid technology (28% focus). Her work bridges engineering and social sciences, particularly examining user acceptance (21% focus), traffic simulation modeling (22% focus), and job creation metrics (21% focus) in electromobility transitions. Rombaut actively supervises graduate research, with notable contributions to master's theses on autonomous vehicle environmental impacts and EU regulatory frameworks. Her current projects include AccelerationMOBI (2025-2029), DESTINY carbon reduction initiatives (2024-2029), and AUGMENTED CCAM infrastructure development (2022-2025), reflecting her leadership in European sustainable transport research consortia. She maintains active roles in PhD committees and conference organization, including the ACCAM Project Review Meeting (2024) and doctoral defenses on shared autonomous vehicle implementation. Her research output demonstrates consistent productivity with 43 publications since 2015, including 17 journal articles and 10 conference papers, achieving an h-index of 8 with 341 Scopus citations. Rombaut's work is centered at the MOBI Electromobility Research Centre, where she contributes to the Autonomous Mobility & Logistics research focus area. Her current projects involve multi-institutional collaborations across 8 active research initiatives examining vehicle-to-grid integration, urban mobility transitions, and carbon-neutral transport solutions through both fundamental and applied research frameworks.

• Autonomous Vehicles
• Logistics
• Electric Vehicles
• +۵ 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.

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +۴ مورد دیگر

Roman Vangoitsenhoven serves as an Assistant Professor at KU Leuven's Faculty of Medicine within the Department of Chronic Diseases and Metabolism. He leads the Subdivision Metabolic unit at the Clinical and Experimental Endocrinology research group (UZ Herestraat 49, box 7003, 3000 Leuven) and holds membership in both the Council of the Faculty of Medicine and the Council of the Department of Chronic Diseases and Metabolism. His research focuses on obesity and diabetes, with particular emphasis on GLP-1 based pharmacotherapy , bariatric surgery outcomes , and cardiometabolic health optimization . Current projects investigate neuropsychobiological approaches to patient selection for weight management therapies, de novo serine biosynthesis in obesity-related cardiac dysfunction, and data-driven interventions for type 2 diabetes management in diverse populations including low-income settings and urban Uganda. Analysis of his 2025 publications reveals a strong thematic concentration on translational obesity research , with recurring subfields spanning pharmacotherapy mechanisms, surgical outcomes, nutritional interventions, and metabolic monitoring technologies. His work demonstrates consistent collaboration across European institutions with significant contributions to clinical guidelines development. Member of Faculty of Medicine Council Member of Department of Chronic Diseases and Metabolism Council Dr. Vangoitsenhoven actively supervises multiple major research projects including a €2.3M ERC-funded study on GLP-1 pharmacotherapy optimization (2025-2029) and international collaborations on diabetes management in low-resource settings. His teaching portfolio includes advanced courses in clinical nutrition, disease mechanisms, and evidence-based medicine within KU Leuven's medical curriculum. He leads the Clinical and Experimental Endocrinology unit's metabolic research subdivision, directing a multidisciplinary team of 12 researchers focused on obesity-diabetes pathophysiology and therapeutic interventions. Current initiatives include the SABO cohort study on post-bariatric sarcopenia in elderly patients and development of digital health tools for personalized diabetes management.

• Obesity
• Diabetes
• Bariatric Surgery
• +۵ مورد دیگر