جست‌وجوی استاد و پژوهشگر

Wim Casteelsمشاهده پروفایل

مدرس

• Data Science
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

• Gravitational Waves
• Cosmology
• Gravitational Radiation Astrophysics
• +۳ مورد دیگر

Archisman Ghosh is an Associate Professor at the Faculty of Sciences , Ghent University , specializing in gravitational waves , cosmology , and general relativity . His research spans experimental particle physics, astrophysics, and gravitational wave cosmology. His key research areas include: Gravitational Wave Detection Binary Black Hole Mergers Dark Standard Siren Cosmology Quantum Noise in Detectors Fast Radio Burst Correlation Recent publications focus on constraining the Hubble constant, analyzing eccentric binary coalescences, improving detector sensitivity with squeezed vacuum states, and developing Python packages like ICAROGW for population inference. His collaborations with the LIGO-Virgo-KAGRA Consortium highlight his role in multi-messenger astronomy. Notable projects include dark siren cosmology using galaxy catalogs and gravitational wave transient analysis.

• Life Cycle Engineering
• Ecodesign
• Sustainable Manufacturing
• +۴ مورد دیگر

Wim Dewulf is a full professor at the Faculty of Industrial Engineering Sciences, KU Leuven, and serves as the dean of the faculty. He is a contact person for the Manufacturing Processes and Systems (MaPS) unit at Campus Group T Leuven and holds leadership roles such as division head and member of councils like the University Council and Academic Council. His research focuses on life cycle engineering, ecodesign, sustainable manufacturing, and computed tomography applications in industrial processes. His research interests span sustainable engineering, additive manufacturing (AM), dimensional quality control, and X-ray CT. Recent projects include using deep learning for CT reconstruction, improving AM surface quality via laser remelting, and enabling autonomous demanufacturing of battery-containing products. He actively supervises students in these areas, particularly in laser powder bed fusion and CT metrology. Wim Dewulf is a member of Leuven.AM (KU Leuven Institute for Additive Manufacturing) and SIM² (Institute for Sustainable Metals and Minerals). His work involves advising on circular economy strategies, process optimization, and advanced imaging techniques, with no explicit scientific awards listed in the provided data. He has contributed to education through courses like Applied Sustainability Assessment and Life Cycle Engineering , emphasizing sustainable design and manufacturing. His research teams focus on technology transfer, industrial collaboration, and developing data-driven models for AM and recycling.

• RF Engineering
• Microwave Systems
• Nonlinear Distortion Analysis
• +۴ مورد دیگر

Dries Peumans serves as a Research Fellow at the Department of Electronics and Informatics within the Faculty of Engineering at Vrije Universiteit Brussel (VUB), Belgium. His research spans RF engineering, microwave systems, and nonlinear signal processing with significant contributions to measurement instrumentation and 6G technology development. Based at the Pleinlaan 2 campus in Brussels, he maintains an active research profile with an h-index of 139 according to institutional metrics. Peumans' research focuses on RF/microwave systems engineering and nonlinear distortion analysis , particularly in power amplifiers and time-varying systems. His work integrates intelligent instrumentation techniques using reinforcement learning and big data approaches to reduce measurement complexity. Key application areas include 6G communications, beamforming transmitters, and EMI shielding materials. His fingerprint analysis reveals dominant expertise in frequency response (100%), power amplifiers (58%), and nonlinear distortion (47%). Recent publications demonstrate strong trends in real-time signal processing for 5G/6G systems, with particular emphasis on digital predistortion techniques using ROVA modeling. His 2025-2024 output shows increasing diversification into materials science (EMI shielding composites) and geophysical applications (lava lake thermal sensing), while maintaining core expertise in RF measurement optimization and time-varying system modeling. Scientific contributions include: Development of scalable models for linear periodic time-varying (LPTV) systems Innovations in power sweep stitching for modulated RF experiments Compact impedance sensors for 24-31GHz beamforming transmitters Equivalent modeling of multilayered conductive composites Peumans actively supervises doctoral research, notably guiding Amedeo Varano's work on ROVA modeling applications. His current projects include OZR4181 (Reducing measurement complexity through intelligent instrumentation, 2023-2027) and SRP78 (Center for Model-Based Systems Improvement, 2022-2027), which integrate photonics, reinforcement learning, and transceiver design. He participates in the FOD168 initiative for 6G leadership development and maintains collaborations across European research institutions through the VUB's Center for Model-Based Systems Improvement. His laboratory work centers on advanced RF measurement systems, with emphasis on time-domain characterization of nonlinear systems and development of intelligent instrumentation frameworks. Current team projects focus on scaling LPTV modeling techniques to incorporate system parameter variations, enabling predictive design of rotating mechanical systems and electronic oscillators.

• Water quality
• Macroinvertebrates
• Ecological modeling
• +۶ مورد دیگر

Dr. Marie Anne Eurie Forio is an Assistant Professor at Ghent University specializing in aquatic ecology and environmental assessment. With a PhD completed in 2017 on stream invertebrate traits, she has established herself as a leading researcher in freshwater ecosystem analysis, particularly focusing on macroinvertebrate communities and water quality assessment across diverse geographical contexts including Belgium, Ecuador, Uganda, and the Galapagos Islands. Her research interests span water quality assessment, macroinvertebrate ecology, ecological modeling, biodiversity monitoring, and environmental impact assessment. Dr. Forio employs advanced statistical and modeling approaches including Bayesian belief networks to analyze complex ecological relationships and inform environmental management decisions. Her work frequently bridges theoretical ecological concepts with practical applications for river basin management and conservation planning. Analysis of her recent publications reveals a strong emphasis on functional diversity metrics, habitat suitability modeling, and the development of bioassessment tools for freshwater ecosystems. Her research demonstrates how riparian vegetation, land use practices, and climate change impact aquatic communities, with particular attention to tropical river basins in South America. The integration of taxonomic and functional approaches in her work represents a cutting-edge methodology for comprehensive ecological assessment. Dr. Forio has successfully supervised multiple PhD students to completion, including Jawad Ghafoor (2025), Daniel Mercado Garcia (2023), and Gonzalo Sotomayor (2023), indicating her established position as a research mentor. Her extensive collaboration network, particularly with Peter Goethals (80 co-authored publications), demonstrates her integration within the international freshwater research community. Her research has practical applications for environmental policy and management, with studies directly informing river restoration practices, water quality monitoring programs, and sustainable development initiatives in both European and tropical contexts. The geographical diversity of her fieldwork reflects a commitment to understanding ecological principles across different biomes and socio-ecological contexts.

Joseph Winkinمشاهده پروفایل

استاد

• Controlled Dynamic Systems
• Infinite-Dimensional Systems
• Distributed-Parameter Systems
• +۳ مورد دیگر

Joseph Winkin is a Full Professor and Director of the Department of Mathematics at the University of Namur, where he leads the Namur Institute for Complex Systems Research Unit in Applied Mathematics and Complexity. His extensive academic service includes membership in the IEEE Control Systems Society's Technical Committee on Distributed Parameter Systems, the IFAC Technical Committee TC 2.6, and the Steering Committee of the International Workshops on Control of Distributed Parameter Systems (CDPS). His research focuses on Controlled Dynamic Systems , specializing in infinite-dimensional and distributed-parameter systems. Key areas include spectral factorization, positive controlled systems, and the analysis and control of chemical/biochemical tubular reactors. His work integrates mathematical rigor with practical applications in process engineering and biological systems. Analysis of his 15 most recent publications (2017-2024) reveals a strong emphasis on observer design, boundary control, and stabilization techniques for infinite-dimensional systems. His research consistently bridges theoretical control theory with applications in epidemiology (SIRD models), cell population dynamics, and chemical reactors, demonstrating interdisciplinary impact across engineering and life sciences. Scientific awards: Outstanding Reviewer of the IEEE Transactions on Automatic Control (2006) As an academic leader, Winkin serves as Director of Mathematics (since 2015), member of the FRIA commission (since 2010), and Scientific Committee member for the FRS-FNRS Thematic Doctoral School in Mathematics (since 2011). His editorial roles include past associate editorships for the International Journal of Applied Mathematics and Computer Science, IEEE Transactions on Automatic Control, and European Journal of Automated Systems. Current projects focus on state estimators for positive distributed-parameter systems and stabilization of infinite-dimensional systems. He actively contributes to major international conferences as program committee member for IFAC workshops, MTNS symposia, and POSTA conferences, reflecting his leadership in the global control theory community.

• Additive Manufacturing
• Structural Health Monitoring
• Laser Directed Energy Deposition
• +۴ مورد دیگر

Zoé Jardon is an Applied Mechanics postdoctoral researcher at Vrije Universiteit Brussel (VUB), working within the Applied Mechanics Acoustics & Vibration Research Group. Her research focuses on additive manufacturing processes, particularly laser-based directed energy deposition techniques, with expertise spanning structural health monitoring, residual stress analysis, and crack mitigation in additively manufactured components. Dr. Jardon completed her PhD at VUB, for which she received the prestigious Belgian National Committee for Theoretical and Applied Mechanics (NCTAM) Best PhD Thesis Award in 2022 (awarded March 2023) and VUB's Doctoral Derby in 2023. Her doctoral work centered on structural health monitoring systems, building upon two Master's theses she completed at VUB in 2018: one on crack localization verification and another on turbulent noise production in duct systems. Her research program demonstrates exceptional depth in advanced manufacturing technologies, with particular emphasis on thermal management and structural integrity of additively manufactured components. Dr. Jardon's work bridges theoretical mechanics with practical industrial applications, addressing critical challenges in laser-based directed energy deposition processes including powder-gas flow dynamics, residual stress control, and real-time monitoring systems. Her fingerprint analysis reveals strong expertise in Structural Health Monitoring (100%), 3D Printing (55%), Powder Processing (48%), and Laser Materials Processing (47%). Dr. Jardon's publication record shows consistent growth and increasing impact, with 31 research outputs spanning from 2017 to 2025. Her recent work demonstrates a clear trajectory toward developing intelligent manufacturing systems that incorporate in-process monitoring and real-time control to enhance component quality and reliability, moving beyond traditional post-process inspection methods. Her notable achievements include: Belgian National Committee for Theoretical and Applied Mechanics (NCTAM) Best PhD Thesis Award 2022 (awarded March 2023) VUB's Doctoral Derby 2023 Physical understanding of propagating waves through eSHM - system for crack localization (October 10, 2019) As principal investigator for the FWOTM1172 project "Thermal history and Residual Stress Control and Mitigation for Hybrid Additive Manufacturing Techniques" (2023-2026), Dr. Jardon leads fundamental research addressing residual stresses in manufacturing processes. She actively contributes to the academic community through conference presentations and workshop organization, recently chairing the VUB Additive Manufacturing Workshop in September 2024. Her collaborative research network includes strong partnerships with colleagues at VUB and beyond, focusing on advancing additive manufacturing technologies for industrial applications. Working within VUB's Applied Mechanics Acoustics & Vibration Research Group, Dr. Jardon contributes to the group's mission of developing innovative solutions for structural analysis and advanced manufacturing challenges. Her leadership in organizing research events and presenting at international conferences demonstrates her growing influence in the additive manufacturing research community.

• Control Systems
• Optimal Control
• Distributed Parameter Systems
• +۳ مورد دیگر

Jeremy Dehaye is a researcher at the University of Namur specializing in control systems and mathematical modeling. His work primarily focuses on boundary control of distributed parameter systems and optimal control theory, with significant contributions to the understanding of Yosida-type approximations in infinite-dimensional systems. His main research interests include: Control Systems Optimal Control Distributed Parameter Systems Boundary Control Spectral Factorization Mathematical Modeling Dehaye's research output demonstrates a consistent focus on theoretical aspects of boundary control systems, particularly examining approximation methods for observation and control in infinite-dimensional settings. His work bridges advanced mathematical theory with practical engineering applications, showing particular expertise in spectral factorization techniques and LQ-optimal control frameworks. Throughout his career, Dehaye has maintained an active research profile with an h-index of 12. He has participated in numerous specialized conferences and workshops, including the IFAC Workshop on Control of Distributed Parameters Systems (2013) and the DYSCO Study Days (2012-2013). His international collaboration is evidenced by his research visit to Gipsa-lab in France in 2013. Dehaye's academic journey includes a Doctor of Sciences degree awarded in 2015 for his thesis on LQ-optimal boundary control of infinite-dimensional linear systems, supervised by Winkin, J., and a Master in Mathematics completed in 2009 focusing on spectral factorization methods in distributed parameter systems.

Karen Fontijnمشاهده پروفایل

دانشیار

• Volcanology
• Physical Volcanology
• Tephrostratigraphy
• +۷ مورد دیگر

Karen Fontijn is an Associate Professor in Volcanology & Mineralogy at Université libre de Bruxelles, focusing on tephrostratigraphic studies of volcanoes in East Africa, Southeast Asia, and South America. Her work integrates field studies with geochronology, petrology, and geochemistry to assess volcanic hazards and resources. Current projects: Pumice Cones (FNRS PDR 2024-2027), Geosciences teaching exchange (ARES 2025-2027) Collaboration network: CSIC Barcelona, Addis Ababa University, University of Dar es Salaam, Dedan Kimathi University of Technology Research interests include: Volcanic hazard assessment through tephrostratigraphy Integration of terrestrial and lacustrine volcanic records Geothermal resources in African rift systems Volcano-human-environment interactions International collaboration frameworks Scientific leadership involves mentoring PhD students and co-leading the ROTTnROCK ERC Synergy project on hydrothermal alteration and volcanic stability. Her recent publications span explosive eruption dynamics, magma reservoir conditions, and CO 2 emissions in rift volcanoes.

• Control Systems
• Stability Theory
• Positive Systems
• +۲ مورد دیگر

Violaine Piengeon is a Researcher at the Namur Institute for Complex Systems (naXys) within the University of Namur, Belgium. She holds a Master in Mathematics from the University of Namur (2023), supervised by Prof. Joseph Winkin. Her current research focuses on control theory, particularly in the areas of stability and positive systems. Her educational background includes: Master in Mathematics, University of Namur, 2023 Dr. Piengeon's research interests span Control Systems, Stability Theory, Positive Systems, Dissipativity Theory, and State Observers. She specializes in the analysis and design of control systems for positive distributed parameter systems, with a focus on stability properties and observer design. Her work often employs dissipativity theory and addresses nonlinear control problems. In 2024, she published a significant article in the International Journal of Control on incremental input-to-state stability for positive Lur'e systems, demonstrating her expertise in applying linear dissipativity approaches to complex stability problems. Her research trends indicate a strong emphasis on theoretical control with applications to positive systems and state observers. Dr. Piengeon is the Principal Investigator for the research project "Design and analysis of state observers for positive distributed parameter systems" (2024-2026), funded by an unspecified grant. This project aims to develop state observers for positive systems, leveraging positivity properties and cone theory to ensure performance and stability. She is affiliated with the Namur Institute for Complex Systems (naXys), a leading interdisciplinary research institute at the University of Namur focused on complex systems across various domains including engineering, physics, and biology.

Wouter Saeysمشاهده پروفایل

استاد

• Biophotonics
• Hyperspectral Imaging
• Agrofood Technology
• +۳ مورد دیگر

Prof. Wouter Saeys leads the Biophotonics group at the Department of Biosystems (BIOSYST), Faculty of Bioscience Engineering, KU Leuven. His research focuses on light interaction with biological systems for sensor development in agrofood and biomedical domains. Funded by FWO, European Commission, and IRO, his work spans hyperspectral imaging, chemometrics, and machine learning applications. Full Professor and Head of MeBioS Technologies division Contact person for Mechatronics, Biostatistics and Sensors (MeBioS) Member of faculty councils and teaching committee Research Interests Specializes in Biophotonics for agrofood systems, developing optical sensors for: Milk composition analysis via spatially resolved spectroscopy Pork adulteration detection using Raman/NIR fusion Precision fertilization through UAV-based multispectral monitoring AI-driven X-ray spectral imaging for horticultural quality Acoustic pest insect identification via wingbeat signatures Precision nitrogen management in potato cultivation Publications & Projects show consistent focus on hyperspectral deep learning, spectral data fusion, and non-destructive evaluation methods. Recent articles demonstrate 2025 breakthroughs in subspace learning (partial Tucker decomposition) and fluorescent tagging for grain contamination detection. Honors : CADcracker science prize (7500 euro) Academic Leadership : Supervises 10+ PhD/MSc students including Valeria Fonseca Diaz, Anna Tsibart, and Laura Carolina Martinez Esmeral. Teaches courses in Chemometrics , Agricultural Robotics , and Engineering Properties of Biological Materials . Laboratory : Maintains state-of-the-art facilities for Vis-NIR/SWIR hyperspectral cameras, femtosecond laser manufacturing of optical references, and RGB-D imaging systems at Kasteelpark Arenberg 30, Leuven.

• Control Theory
• Nonlinear Systems
• Partial Differential Equations
• +۳ مورد دیگر

Anthony Hastir is a researcher at the Namur Institute for Complex Systems , focusing on control theory, nonlinear systems, and partial differential equations (PDEs). His work bridges mathematical analysis with applications in chemical engineering and mechanical systems. Education: PhD in Sciences (2022) and Master in Mathematical Sciences (2018), both advised by Prof. Joseph Winkin. Research Interests include: Stability analysis of nonlinear infinite-dimensional systems Optimal control of distributed parameter systems Frequency-domain approaches for PDE control Stabilization of reaction-diffusion and wave networks His scientific awards include the 2022 Distributed Parameter Systems TC Outstanding Student Paper Prize and the 2018 Frank Callier Prize. Hastir's projects involve: FRACTIONS (2022–2025): Frequency analysis for nonlinear input-output systems Local stabilization of non-isothermal tubular reactors (2020–2022) LQ-optimal control of tubular reactors (2018–2020) His activities span conference presentations on spectral analysis, Kalman filtering, and LQ control of hyperbolic PDEs.

• Power Electronics
• Artificial Intelligence in Design Automation
• DC-DC Converters
• +۷ مورد دیگر

Diego Gerardo Bernal Cobaleda is a researcher at KU Leuven , affiliated with the Electrical Engineering Department (ELEKTRA) and the EnergyVille research institute. His work focuses on power electronics design automation, integrating artificial intelligence (AI) and machine learning (ML) techniques to optimize converter efficiency and component selection. Research Highlights : AI-driven semiconductor datasheet analysis, variable transformer design for wide voltage ranges, reinforcement learning for converter parameter optimization. Collaborators : Fanghao Tian, Wilmar Martinez, Camilo Suarez Buitrago, Miguel Vivert. His recent publications address: Automated extraction of dynamic characteristics from MOSFET datasheets using computer vision. Development of resonant multi-input multi-output (MIMO) converters for aerospace applications. Integration of variable transformers in LLC and dual active bridge (DAB) topologies for improved efficiency. Application of deep reinforcement learning (DDPG) to optimize converter parameters. He has contributed to journals including IEEE Transactions on Power Electronics , Energies , and IEEE Access , as well as conferences such as IEEE APEC, ECCE Asia, and ISIE.

• Building Energy Simulation
• Low-Carbon Technologies
• Electrical Grid Integration
• +۷ مورد دیگر

Dr. Ruben Baetens is a post-doctoral researcher and senior staff member at KU Leuven , focusing on the intersection of building energy systems and electrical grid integration. His work addresses techno-economic modeling, uncertainty quantification, and policy implications for low-carbon technologies like heat pumps and photovoltaics. Current affiliation: Post-doctoral researcher/Senior Staff, KU Leuven Research Interests include: Building energy simulation using tools like Modelica (IDEAS Library, FastBuildings) Stochastic occupant behavior modeling (StROBe Module) Grid impact analysis for residential energy technologies High-performance thermal insulation materials (aerogels, vacuum panels) Demand-side management and meta-modeling for energy policies Selected Trends in Publications (2011–2025): Systematic evaluation of grid reinforcement costs for urban vs. rural contexts Development of open-source frameworks (OpenIDEAS) for multi-domain simulations Advocacy for equitable energy policies that internalize grid externalities Early work on phase change materials and smart window technologies

Jorge Humberto Mejia Mendozaمشاهده پروفایل

پژوهشگر

• Nanoparticle physicochemical characterization
• Nanomaterial toxicology
• Environmental impact of nanomaterials
• +۴ مورد دیگر

Jorge Humberto Mejia Mendoza is a nanotoxicology researcher at the University of Namur with expertise in physicochemical characterization of nanomaterials and their biological/environmental impacts. Holding a Doctor of Science in Physics, he combines materials science with biomedical applications. UN Sustainable Development Goals contributor (nanomaterial safety) Principal Investigator in EU projects PATROLS, NanoREG, and NanoVALID His research focuses on nanoparticle dispersion dynamics , in vitro toxicity mechanisms , and environmental risk assessment for manufactured nanomaterials. Recent work examines lithium-ion battery nanoparticles' inflammation potential and titanium dioxide interactions with aquatic ecosystems. Key collaborative projects include: 2018-2021: PATROLS (hazard assessment tools) 2014-2017: NanoREG (European regulatory standards) He received the Best Poster Award (2017) and participates in international workshops like NFFA Nanosafety (2020).