جست‌وجوی استاد و پژوهشگر

• 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.

• Additive Manufacturing
• Process Monitoring
• Control Systems
• +۶ مورد دیگر

Tegoeh Tjahjowidodo is a Senior Lecturer at the Faculty of Industrial Engineering Sciences , KU Leuven , affiliated with the Department of Mechanical Engineering and the Manufacturing Processes and Systems (MaPS) unit at Campus De Nayer. He serves as Head of Education for Electromechanics programs and leads Subdivision 17 at the campus. Research Areas: Additive Manufacturing (Wire-Arc Additive Manufacturing), Process Monitoring, Control Systems, Laser Micromanufacturing, Wear Analysis, Robotics, and Condition Monitoring. Publication Trends: Focus on in-situ monitoring of laser micromanufacturing, machine learning for abrasive belt grinding, WAAM parameter optimization , and multi-sensor fusion for process control. Scientific Contributions: Co-promotor for MultiTRIBO (tribology), Promotor for WAAM structural integrity and pedicle screw surgical simulators . Active in international collaborations (e.g., 25th International Symposium on Laser Precision Microfabrication, Spain 2024).

• Riemannian Optimization
• Matrix Manifolds
• Low-Rank Matrix Completion
• +۴ مورد دیگر

Pierre-Antoine Absil is a Full Professor at the Louvain Polytechnic School (EPL) , part of the Université catholique de Louvain (UCLouvain) , affiliated with the Mathematical Engineering Center (INMA) and the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM) . His research spans Riemannian optimization , matrix manifolds , and low-rank approximation with applications in astronomical imaging , signal processing , and environmental data imputation . His work emphasizes Riemannian optimization algorithms matrix and tensor completion geometric data analysis applications in astrophysics and bioinformatics Recent publications focus on Stiefel and Grassmann manifolds , variable projection methods , and exoplanet detection via alternating minimization . While no explicit scientific awards are listed, his collaborations with institutions like IEEE and Springer highlight his impact in computational mathematics and engineering. He has supervised researchers such as Simon Vary , Guillaume Olikier , and Valentin Christiaens through projects in direct imaging , economic dispatch , and graph-based data processing . His laboratory, INMA , drives methodological advances in manifold-valued data analysis and nonlinear optimization .

Nicolas Cerfمشاهده پروفایل

استاد

• Quantum Information Science
• Quantum Cryptography
• Quantum Computation
• +۳ مورد دیگر

Nicolas Cerf is a Full Professor at the Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles (ULB), where he heads the Centre for Quantum Information and Communication (QuIC). He has been a faculty member at ULB since 1998, initially as an associate professor and promoted to full professor in 2009. Cerf maintains visiting appointments at Caltech, MIT, and the University of Arizona, demonstrating his international standing in the quantum information community. His educational background includes a M.Eng. in Electronics and Telecommunication (1987), M.Sc. in Physics (1988), and Ph.D. in Physics (1993), all from ULB. After his PhD, he was awarded a Marie Curie fellowship and worked at the University of Paris XI, followed by research faculty positions at Caltech before returning to ULB. Nicolas Cerf's research focuses on quantum information science, with significant contributions including the discovery of the role of negative (conditional) entropies in quantum information theory, development of continuous-variable quantum cloning and cryptographic protocols, invention of the adiabatic quantum search algorithm, and establishing the fundamental quantum limit on information transmission via Gaussian bosonic channels. His work spans quantum information theory, quantum cryptography, quantum computation, quantum optics, and quantum foundations. His recent publications (2023-2025) demonstrate continued innovation in quantum information processing, particularly in boson sampling validation, Wigner entropy theory, majorization applications, and quantum channel capacities. These works show a consistent focus on both theoretical foundations and practical applications of quantum information principles. Marie Curie Excellence Award (2006) Caltech President's Fund award (1997) Alcatel-Bell scientific prize (1999) Prize of the Wernaers fund awarded by the Belgian National Fund for Scientific Research (FNRS) (2000) Elected member of the Royal Academies for Science and the Arts of Belgium (2009) COVAQIAL project nominee for 2007 Descartes Prize Nicolas Cerf has supervised numerous PhD students including Sofyan Iblisdir, Jérémie Roland, Gilles Van Assche, and many others. He has hosted many postdocs and senior scientists. His research has been supported by numerous European projects across multiple Framework Programs, including EQUIP, CHIC, RESQ, SECOQC, COVAQIAL, QAP, COMPAS, HIPERCOM, QALGO, QUCHIP, ShoQC, and AppQInfo. As head of QuIC, Cerf leads a research team exploring cutting-edge topics in quantum information. The group maintains strong international collaborations and has been instrumental in establishing Belgium as a significant player in quantum information research. The team's work bridges theoretical developments with potential applications in quantum communication, quantum computing, and quantum cryptography.

Hugues Bersiniمشاهده پروفایل

استاد

• Artificial Intelligence
• Complex Systems
• Neural Networks
• +۱۳ مورد دیگر

Hugues Bersini is a Professor at Université Libre de Bruxelles (ULB) and Co-Director of the IRIDIA laboratory, the Artificial Intelligence research laboratory of ULB. His academic career spans over three decades, with significant contributions to the fields of artificial intelligence, complex systems, and biological networks. Bersini earned his MS degree in 1983 and his Ph.D. in engineering in 1989, both from Université Libre de Bruxelles. After working as a researcher with an EEC grant from the JRC-CEE in Ispra (1984-1987), he joined the IRIDIA laboratory at ULB, where he has remained throughout his career, eventually becoming a full professor. His research spans a diverse range of topics within artificial intelligence and complex systems. Bersini is particularly known for his work on modeling and control of complex systems, neural networks, fuzzy control, data mining, autonomous agents, and biological networks. He pioneered the exploitation of biological metaphors, especially from the immune system, for engineering and cognitive sciences applications. His research has evolved to include computational chemistry, immune engineering, cognitive sciences, bioinformatics, and object-oriented technology. In recent years, he has focused on business intelligence applications and public goods through the Brussels Institute FARI. Throughout his career, Bersini has published approximately 300 papers, demonstrating consistent productivity and evolving research interests. His early work focused on optimization algorithms and immune-inspired computing, which gradually expanded to include fuzzy and neuro control systems, biological networks, and more recently, applications to real-world problems through spin-off companies and the FARI institute. His publications show a clear trajectory from theoretical foundations to practical applications, with growing emphasis on interdisciplinary approaches that bridge computer science with biology, chemistry, and cognitive sciences. Bersini has been actively involved in the academic community, having co-organized major conferences including the Parallel Problem Solving from Nature (PPSN), European Conference on Artificial Life (ECAL), European Workshops on Reinforcement Learning (EWRL), and International Competitions on Evolutionary Optimization (ICEO). He also organized tributes to Francisco Varela and the International Conference on Artificial Immune Systems (ICARIS). As an educator, Bersini teaches artificial intelligence, object-oriented programming (C++, Java, .Net, Kotlin, UML, Django/Python), and design patterns to both university students at Solvay and Polytechnic Schools and for industry professionals. He has authored fourteen French books covering computer science fundamentals, complex systems, and the intersection of computer science with other fields. His books range from technical manuals to philosophical explorations of complex systems and emergence. Bersini has coordinated significant research projects including the FAMIMO LTR European Project on fuzzy control for multi-input multi-output processes and participated in ESPIRIT projects NEMORETS and METHODS. His work has led to practical applications through spin-off companies such as Cluepoints, Tevizz, and In Silico DB, and more recently through the Brussels Institute FARI which addresses public goods like mobility, epidemics, access to jobs and schools, and energy transition.

Daniele Marinazzoمشاهده پروفایل

استاد

• Computational Neuroscience
• Complex Systems
• Neurophysics
• +۴ مورد دیگر

Daniele Marinazzo is a Full Professor in the Department of Data Analysis at Ghent University (Belgium), with a background in statistical physics and a focus on computational neuroscience and complex systems. He serves as Deputy Editor at PLOS Computational Biology , Co-Editor-in-Chief at Neurons, Behavior, Data Analysis, and Theory , and academic editor at Network Neuroscience and Imaging Neuroscience. His work spans theoretical physics, neuroscience methodology, and experimental neurophysiology. Academic Affiliation: Ghent University (Belgium) Editorial Roles: 3+ journals Research Initiatives: EBRAINS representative Research Interests combine computational neuroscience, complexity science, and network analysis. He investigates higher-order interactions in brain networks, synergistic information processing, and methodological advancements in neuroimaging. Recent work includes MEG/EEG analysis, gene expression modeling, and developing open-source tools like SPM-Python. Scientific Contributions include 15+ recent publications on topics ranging from individual brain fingerprinting to multisensory integration models. His work appears in venues like Nature Communications , Physics of Life Reviews , and Entropy , with methodological innovations in hidden factor localization and network synchronization analysis. Current projects include PhD/postdoc recruitment for fast-sampled fMRI analysis and organizing the Erice workshop Higher-Order Interactions: Mechanisms, Behaviors, and Networks (August 2025).

Federico Holikمشاهده پروفایل

پژوهشگر ارشد

• Foundations of Quantum Mechanics
• Quantum Information Theory
• Quantum Logic
• +۳ مورد دیگر

Federico Holik serves as a Research Fellow at Argentina's National Scientific and Technical Research Council (CONICET) with primary affiliation to Vrije Universiteit Brussel (VUB) in Belgium. His institutional presence is anchored through VUB's CRIS profile and publications portal, reflecting active engagement in quantum research despite the absence of specified departmental or school affiliations within the university structure. His research program critically examines the logical, algebraic, and geometrical frameworks underpinning quantum mechanics, with concentrated efforts in quantum information theory and foundational probability interpretations. Key investigations include quantum resource management for NISQ-era devices, ontological indistinguishability of quantum entities, and the development of quantum mereology to address part-whole relationships in quantum systems. His interdisciplinary reach extends to quantum-inspired AI through quasi-set theory and epidemiological applications via information quantifiers in pandemic data analysis. Analysis of his 2023-2025 publications reveals two dominant trajectories: (1) practical quantum computing challenges centered on resource optimization, error mitigation, and software engineering frameworks for noisy hardware, and (2) deep foundational inquiries into quantum ontology, probability structures, and mereological paradoxes. This dual focus bridges theoretical rigor with emerging quantum technologies while maintaining strong connections to philosophical questions about quantum identity and agency.

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.

John Lataireمشاهده پروفایل

پژوهشگر

• Time Varying Systems
• Frequency Response
• Nonlinear Distortion
• +۹ مورد دیگر

John Lataire is a researcher at the Vrije Universiteit Brussel (VUB) , focusing on system identification, electrochemical impedance spectroscopy, and applications in bionics and biomedical engineering. He leads projects on time-varying systems and nonlinear distortions, collaborating with institutions like KU Leuven, University of Warwick, and others. Key Research Areas: Time Varying Systems, Frequency Response, Electrochemical Impedance Spectroscopy, Bionics His recent publications (2024–2025) explore kernel-based estimation, vibration control for robotic manipulators, and impedance estimation for respiratory systems. These works highlight his expertise in integrating control theory with practical applications in materials science and healthcare. He has also contributed to operando monitoring techniques for aluminum surface treatments and anodizing processes. Scientific Awards: Measurement Science and Technology Award (2009) J. Barry Oakes Advancement Award (2017) Best Junior Presentation Award (2010) IEEE Outstanding Associate Editor (2017) Advising: Supervised PhD projects for Vijayan Prabhu (VUB–KU Leuven joint program) and Hallemans Noël (VUB–University of Warwick), focusing on joint stiffness identification and bionic lower limbs. Labs/Collaborations: Collaborates with teams in Belgium, the Netherlands, and the UK, working on bionics, electrochemical systems, and flexible robotics.

• Nonlinear optimization
• Mathematics teaching
• Economics education
• +۳ مورد دیگر

Sebastian XHONNEUX is a faculty member in the Department of Management Sciences at the School of Management, University of Namur. He actively teaches Mathematics for Economics and Management (EFASB231) for the 2023-2025 academic years, demonstrating his ongoing institutional engagement. His educational credentials include a Bachelor's degree in Mathematical Sciences, a Higher Secondary Education Aggregation (AESS in Mathematics-Physics), and a Doctor of Science. These qualifications underpin his dual expertise in theoretical mathematics and pedagogical methodology. XHONNEUX's research centers on nonlinear optimization and mathematics teaching, with distinctive focus on didactic transposition of mathematical concepts between disciplines. His work analyzes Lagrange's Theorem across mathematics and economics education, addressing challenges in secondary-to-university transitions and curriculum design. He emphasizes practical applications in management contexts through exercise collections and computational tools. His 2009-2012 publications reveal consistent interdisciplinary themes: didactic analysis of Lagrange's Theorem, development of mathematical reasoning materials, and MATLAB programming education. These works demonstrate systematic efforts to bridge theoretical concepts with economic applications while improving pedagogical approaches in quantitative disciplines. Though no formal awards are documented, XHONNEUX has supervised doctoral and master's theses while contributing to two major research projects. He served as researcher in proximal-type optimization methods (2004-2007) and institutional analysis of Lagrange's Theorem transposition (2007-2011), securing sustained project funding. He maintains active community engagement through conferences including APMEP National Days and Belgian Mathematics Teachers' Congresses. His workshop participation in Groupe SUP initiatives focuses on secondary-university transition challenges, reflecting commitment to collaborative improvement of mathematics education in management training.

• Econometric theory
• Panel data analysis
• Econometrics
• +۳ مورد دیگر

Geert Dhaene is a full professor at the Faculty of Economics and Business (FEB) at KU Leuven, affiliated with the Economics Research Group. His work focuses on econometric theory, panel data analysis, and financial volatility modeling. He has held roles such as Promotor for multiple research projects, including 'New methods to control for unobserved heterogeneity in nonlinear panel data models' (2025–2028) and 'Bayesian and non-Bayesian methods for nuisance parameters' (2020–2023). His research emphasizes innovative statistical methodologies for addressing challenges in econometrics, such as high-dimensional data, panel models, and volatility spillovers. Notable contributions include median-based estimation techniques, functional differencing methods, and sparse multivariate GARCH applications. He actively contributes to academic software development, such as the 'xtspj' Stata package for split-panel jackknife estimation. Teaching responsibilities include Advanced Microeconomics I, Advanced Econometrics, and supervision of master’s theses in policy economics. He has advised multiple doctoral candidates, including Li (2024), Pham (2018), and Wu (2016). His collaborative projects often involve interdisciplinary approaches, reflecting his expertise in both theoretical and applied econometrics. He holds editorial roles and has authored a foundational economics textbook ('Economie, een inleiding') alongside peers. His work bridges methodological advancements with practical applications in finance and policy analysis.

Silvère Bonnabelمشاهده پروفایل

استاد

• Systems and control
• Robotics
• Machine learning
• +۵ مورد دیگر

Silvère Bonnabel is a Professor at École des Mines ParisTech (Mines ParisTech), a prestigious engineering school in France. He holds a Research Habilitation HDR (2014) and a PhD (2007) from Mines ParisTech, along with advanced degrees in financial mathematics and engineering. His professional experience includes roles as Professor at the University of New Caledonia (2019-2022), Visiting Fellow at the University of Cambridge (2017), and Assistant Professor at Mines ParisTech (2009-2016). Bonnabel’s research focuses on systems and control, robotics, machine learning, and navigation, with notable contributions to invariant Kalman filtering and optimization on manifolds. He has authored/co-authored over 100 articles, 9 patents, and achieved an h-index of 39. Notable awards include the 2024 George N. Saridis Award and 2021 European Control Award. His work bridges theoretical advancements with industrial applications, including collaborations with companies like Safran, Thales, and Manitowoc. Bonnabel has supervised numerous PhD students, contributing to breakthroughs in inertial navigation, radar tracking, and autonomous systems. Education: 2014: HDR in Mathematics (Paris VI Sorbonne) 2004-2007: PhD, Mines ParisTech 2003-2004: Master in Financial Mathematics (Paris XII) 2001-2004: Engineering Degree, Mines ParisTech Industrial Collaborations: Partnerships with Safran, Thales, Manitowoc, and startups like OFFROAD, focusing on crane control, inertial navigation, and autonomous systems. Editorial Roles: Associate Editor for IEEE Control Systems Magazine, European Control Conference, and Systems & Control Letters. His research emphasizes geometric control theory, stochastic algorithms, and sensor fusion, with applications to robotics, aerospace, and industrial automation. Bonnabel’s work on invariant extended Kalman filters has been commercialized in products like Safran’s inertial navigation systems.

• Composite Materials
• Additive Manufacturing
• Mechanical Properties of Materials
• +۳ مورد دیگر

Lincy Pyl is a Professor at the Vrije Universiteit Brussel (VUB), holding roles as Department Chair and Head of Research Group in the Mechanics of Materials and Constructions department. Their work focuses on advanced materials, additive manufacturing, and composite material behavior under extreme conditions. Pyl leads multiple high-impact projects funded by EU and industry partnerships, including initiatives on recycled composites, thermal strain modeling, and blast-resistant structures. Research interests span composite materials, acoustic emission analysis, thermal stress management, and metamaterial design. Notable contributions include developing hybrid mechanical metamaterials and improving mechanical properties of 3D-printed composites. Over 166 publications and 15 active or completed research projects highlight their prolific output, with collaborations across Europe and beyond. Advisor to 36 doctoral and master's theses, Pyl mentors students in advanced materials characterization and sustainability. Their work bridges fundamental science with industrial applications, addressing challenges in aerospace, civil engineering, and environmental management. Key projects include COMPOST (composite recycling), ANI420 (additive manufacturing), and SBO-Optimization (sustainable manufacturing). Active in academic governance, Pyl chairs multiple PhD committees and works on international research coordination. Their lab focuses on integrating computational modeling with experimental validation to advance material science and engineering solutions.

Svend Bramمشاهده پروفایل

استاد

• Energy System Control and Optimization
• Thermodynamics
• Fluid Mechanics
• +۳ مورد دیگر

Svend Bram is a Professor at Vrije Universiteit Brussel's Department of Thermodynamics and Fluid Mechanics within the Faculty of Engineering Technology. His research focuses on energy system optimization, particulate matter emissions from biomass combustion, and advanced thermal systems like district heating networks and micro gas turbines. He has led 21 research projects since 2000, including high-profile initiatives such as the FIDT decarbonisation network and hydrogen-to-grid digital twin development. Bram has supervised over 100 academic works, including 3 doctoral theses and numerous master's projects on topics like wind turbine dynamics and oyster mushroom cultivation systems. His recent work emphasizes 5th generation district heating systems, emission reduction technologies, and fluid dynamics modeling. Collaborations span European institutions, with active participation in conferences and workshops on energy transition and sustainable engineering. Bram's contributions to thermal energy storage, heat exchanger optimization, and biomass fuel quality assessment have been widely published in journals like Energy and Buildings and Energies .

Yves Caudanoمشاهده پروفایل

مدرس

• Nonlinear optics
• Quantum optics
• Quantum weak measurements
• +۵ مورد دیگر

Yves Caudano is a qualified researcher at the FRS-FNRS and a lecturer in the Physics Department at the University of Namur, where he is attached to the Lasers and Spectroscopies research unit (UR-LLS). He holds active positions within the Philosophical Space of Namur, Namur Institute for Complex Systems, and Namur Institute of Structured Matter. His research spans multiple interdisciplinary domains connecting physics, philosophy, and complex systems theory. His educational background includes: Degree in Physical Sciences from FUNDP (1995) Doctor of Sciences from FUNDP (2000) Dr. Caudano's research focuses on the intersection of quantum mechanics and optics, with particular emphasis on nonlinear phenomena at interfaces. His work bridges fundamental quantum theory with practical applications in spectroscopy and materials science. He investigates how quantum weak measurements can reveal novel phenomena that conventional measurement approaches miss, particularly in surface physics contexts. His research program integrates theoretical frameworks with experimental validation, creating a robust foundation for advancing quantum measurement techniques and their applications. Analysis of his recent publications reveals a strong trajectory toward integrating quantum weak measurement theory with practical applications in materials science and quantum information processing. His work demonstrates increasing sophistication in connecting foundational quantum concepts with practical experimental implementations, particularly in surface nonlinear optics and quantum algorithm development. The research shows a clear progression from fundamental quantum measurement theory toward applications in quantum computing and advanced materials characterization. His scientific recognition includes: Prize of the Belgian Society of Physics for the best bachelor's thesis (1997) Winner of the Travel Grants competition of the French Community of Belgium (1996) Dr. Caudano serves in multiple leadership capacities including as Member of the board of the Belgian Physics Society (representative of UNamur, treasurer), Member of the Advisory Committee of the Higher Council for Scientific Integrity, and Member of the PE2 commission jury for FRIA Awards/Distinctions. He actively supervises graduate students and leads multiple research projects including STRQFAFPCIILEAC (2024-2026), ARTEMIS (2023-2027), and WeaM (2019-2023), securing substantial research funding across these initiatives. He leads the Lasers and Spectroscopies research unit (UR-LLS) where his team develops advanced techniques in sum-frequency generation spectroscopy and quantum measurement approaches. The group maintains strong international collaborations and regularly hosts visiting researchers, contributing significantly to the university's research profile in quantum physics and surface science.