جست‌وجوی استاد و پژوهشگر

Gregor Behnkeمشاهده پروفایل

استادیار

• AI Planning
• Automated Decision Making
• Complexity Theory
• +۸ مورد دیگر

Gregor Behnke is an Assistant Professor (Universitair Docent) at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, Faculty of Science. He heads the research group on Planning and Symbolic AI within the Theoretical Computer Science unit. His primary affiliation is with the Institute for Logic, Language and Computation, where he conducts research at LAB42, Science Park 900, Amsterdam. Dr. Behnke's research focuses on solving optimization and decision problems using symbolic AI methods, with particular emphasis on AI planning, automated decision making, complexity theory, and combinatorial optimization. His specific interests include Hierarchical (HTN) Planning, Planning using Symbolic Methods (SAT, BDDs), Lifted Planning, Theory of Planning and its Complexity, Domain and Action Model Learning, and Epistemic Planning. He is particularly interested in developing practically efficient solutions to complex planning problems. His recent publications demonstrate a strong focus on computational complexity analysis of planning problems, verification methods for hierarchical planning, and domain learning techniques. His work bridges theoretical foundations with practical implementations, as evidenced by his development of planning systems. ICAPS 2018 Best Student Paper Award for 'A Generic Method to Guide HTN Progression Search with Classical Heuristics' ICTAI 2018 CV Ramamoorthy Best Paper Award for 'Plan and Goal Recognition as HTN Planning' TCST 2018 Best Paper Award for 'Towards a Companion System Incorporating Human Planning Behavior -- A Qualitative Analysis of Human Strategies' Dr. Behnke supervises two PhD students: P. Maurice Dekker (funded by a startersbeurze, working on Bounded Rationality in Planning since January 2024) and João Sá (funded by an NWO Open Competitie M, working on SAT planning since March 2024). He is the main developer (together with Daniel Höller) of the HTN planning system PANDA, which has two maintained versions: PANDA3 (Java/Scala) and pandaPI (C++). His research group currently consists of himself and his two PhD students. His laboratory work centers around the development and analysis of planning algorithms, particularly focusing on HTN planning systems and their verification. The group works on both theoretical aspects of planning complexity and practical implementations of planning systems.

Carol Garzon Lopezمشاهده پروفایل

استادیار

• Spatial ecology
• Remote Sensing
• Biodiversity conservation
• +۶ مورد دیگر

C.X. (Carol) Garzon Lopez is an Assistant Professor of Earth and Environmental Sciences at Campus Fryslân, University of Groningen. She leads research on spatial ecology, biodiversity monitoring, and knowledge infrastructures, focusing on Latin America and tropical ecosystems. As director of Verde Elemental, she promotes ecological knowledge dissemination in Spanish. Her work bridges ecology with social factors influencing biodiversity understanding. Research Themes: Multi-scale biodiversity analysis using remote sensing (UAV, satellite) Impact of knowledge infrastructures on ecological science Spatial biases in species distribution modeling Páramo ecosystems resilience to climate change Recent Work Trends: Recent articles emphasize spatial bias mitigation in ecological modeling, Latin American biodiversity monitoring challenges, and urban biodiversity assessment methods. Her work integrates drone technology with traditional ecological methods to improve conservation strategies. Labs/Initiatives: Oversees Verde Elemental, a platform advancing Latin American ecological research visibility. Active in developing transdisciplinary frameworks for sustainable knowledge systems.

Sara Moutonمشاهده پروفایل

پژوهشگر

• Cell Biology
• Ageing Biology
• Physicochemical Biology
• +۳ مورد دیگر

Sara Mouton is a Postdoc researcher at the University of Groningen, affiliated with both the Faculty of Science and Engineering and the Faculty of Medical Sciences. Her primary appointment is in the Molecular Systems Biology group under the Groningen Biomolecular Sciences and Biotechnology institute. She holds a PhD (Cum Laude, 2023) and MSc (2016) in Biomedical Sciences with a focus on ageing biology. Her research explores the physicochemical basis of cellular ageing, particularly macromolecular crowding and cytoplasmic organization in yeast. She investigates how physical and chemical parameters shift with age, using tools like FRET-based sensors and in vitro reconstitution of cell cycle processes. Recent projects include studying nuclear pore complex dynamics and stress-induced transport defects linked to ALS. Publications highlight her expertise in nuclear transport mechanisms, protein self-organization, and single-cell analysis of ageing biomarkers. Awards include a Cum Laude distinction for her PhD thesis on physicochemical perspectives of ageing. She collaborates with Prof. Liesbeth Veenhoff and Dr. Julia Kamenz, advancing studies on crowding regulators and cell cycle reconstitution. Her work bridges biophysics, cell biology, and ageing research, with implications for understanding cellular organization and disease mechanisms.

• Paediatric Critical Care Medicine
• Mechanical Ventilation
• Lung Mechanics
• +۳ مورد دیگر

Prof. Martin Kneijber is a Chief and Consultant in Paediatric Critical Care Medicine at the University of Groningen's Faculty of Medical Sciences. He holds positions as Principal Investigator, Director of Research, and Director of the Critical Care Fellowship Program. His expertise focuses on mechanical ventilation, lung mechanics, and pediatric respiratory critical care. Kneijber actively contributes to international organizations like the European Society for Paediatric and Neonatal Intensive Care (Medical President). Research interests include optimizing mechanical ventilation techniques, patient-ventilator asynchrony detection, and developing global collaborative networks for pediatric critical care. His work spans pharmacokinetics in critical illness, lung ultrasound applications, and guideline development for neonatal respiratory distress. Recent articles emphasize interdisciplinary approaches to pediatric critical care challenges, such as personalized ventilation strategies using imaging technologies and managing prolonged mechanical ventilation outcomes. Kneijber's contributions include expert commentary on healthcare policies and public health issues, such as pediatric heart surgery controversies and RSV virus management in hospitals.

• Medical Oncology
• Cancer Chemotherapy
• Medical Education
• +۳ مورد دیگر

Dr. J. (Janke) Greidanus is a Lecturer at the Faculty of Medical Sciences, University of Groningen, and practices as a General Practitioner. His research focuses on oncology drug delivery systems, particularly continuous infusion chemotherapy regimens for cancers like gastric and colorectal cancers. He has contributed to Phase I/II clinical trials evaluating drugs such as epirubicin, doxorubicin, and mitoxantrone, with an emphasis on pharmacokinetics, toxicity profiles, and outpatient treatment protocols. His work also includes patient education programs for infusion therapy and device evaluations for chemotherapy delivery. Greidanus completed his doctoral thesis in 1988 on continuous infusion chemotherapy methods. Affiliations: Lecturer & GP at Faculty of Medical Sciences, University of Groningen Key Research Areas: Medical oncology, pharmacokinetics, clinical trials, cancer chemotherapy, outpatient care systems His publications span 1987-2016, emphasizing continuous infusion protocols, drug efficacy, and patient management strategies in oncology. He has collaborated on interdisciplinary projects involving pharmacology, medical devices, and educational initiatives for healthcare providers and patients. No notable scientific awards are listed in the profile, though his work has been published in peer-reviewed journals like European Journal of Cancer and Cancer Nursing .

K.R. Aptمشاهده پروفایل

استاد

• Computer Science
• Game Theory
• Network Optimization
• +۷ مورد دیگر

Krzysztof Apt is a Professor at the University of Amsterdam and a CWI-Fellow. His academic work focuses on theoretical computer science, game theory, and formal verification of algorithms. He is affiliated with the Networks and Optimization department at the University of Amsterdam. Research Interests His research spans multiple fields including: Logic and formal verification Game theory and mechanism design Network optimization algorithms History of computer science Programming methodology Distributed systems Scientific Contributions His recent publications (2021–2025) cover loop termination proofs, historical analyses of computer science pioneers, coordination games on graphs, and foundational work in Hoare logic. The research combines theoretical rigor with applications in machine learning and distributed systems. Awards and Grants NWO TOP grant (2013) for combining machine learning with game theory

Mart Lubbersمشاهده پروفایل

استادیار

• Task-Oriented Programming
• Internet of Things (IoT)
• Embedded Domain-Specific Languages
• +۴ مورد دیگر

Mart Lubbers is an Assistant Professor at Radboud University , focusing on Computer Science . He transitioned from a PhD candidate (2018–2023) and Researcher roles to his current faculty position, with a research emphasis on Task-Oriented Programming and IoT systems . Academic affiliations: Radboud University (current), Netherlands Defence Academy (2017), Max Planck Institute for Psycholinguistics (2013–2015) Teaching: Compiler Construction , New Devices Lab , and Sustainable IoT workshops in SusTrainable summer schools His research bridges Embedded Systems , Functional Programming , and Green Computing , particularly through the development of the mTask framework for IoT orchestration. Publications highlight innovations in DSL design , low-power computing , and tierless language architectures . Current supervision includes PhD candidates Niek Janssen and Benedikt Rips , alongside BSc advisees. He actively contributes to conferences as PC member/chair (TFP, IFL, CompSys).

• Combustion Engineering
• Acoustics
• Thermoacoustic Instability
• +۴ مورد دیگر

Jacobus B.W. Kok serves as an Associate Professor in the Department of Thermal Engineering within the Faculty of Engineering Technology at the University of Twente. His academic career spans over three decades with significant contributions to combustion engineering and acoustics research. His research focuses on combustion dynamics , thermoacoustic instability , and swirl burner technology , with particular expertise in pressurized combustors, flame transfer functions, and acoustic characterization methods. Current work emphasizes multiscale analysis of combustion systems using advanced computational techniques including Proper Orthogonal Decomposition and Large Eddy Simulation. Recent publications demonstrate strong emphasis on practical industrial applications including hot blast stove optimization, gas turbine combustor design, and droplet combustion analysis. His work bridges fundamental combustion science with engineering solutions for energy systems. Principal investigator for multiple combustion research projects Supervised 19 graduate research projects Active participant in international combustion conferences Collaborator in European research networks (e.g., MAGISTER ITN) Kok maintains active research collaborations across European institutions with recent work involving pressurized combustion systems, acoustic diagnostics, and industrial furnace optimization. His laboratory utilizes advanced computational tools and experimental datasets for combustion analysis.

Jan Bouwe van den Bergمشاهده پروفایل

استاد

• Nonlinear Partial Differential Equations
• Dynamical Systems
• Pattern Formation
• +۵ مورد دیگر

Jan Bouwe van den Berg is Professor of Mathematics and Department Chair at the Department of Mathematics, Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on nonlinear partial differential equations and dynamical systems, particularly pattern formation phenomena. He develops rigorous computational methods combined with topological and variational techniques to analyze complex dynamics. His educational background includes a PhD in Mathematics from Leiden University (1996-2000) under advisor Bert Peletier, preceded by undergraduate studies in Mathematics and Physics at Leiden University (1991-1996). Prior academic positions include EPSRC Research Fellow at Nottingham University (2001-2002) and Assistant Professor at VU Amsterdam (2003-2006). Research interests span: Nonlinear PDEs and dynamical systems with emphasis on pattern formation Topological methods including Conley index and Floer homology Computational dynamics and rigorous numerics Geometric flows (harmonic map heat flow, Willmore flow) Braid theory applications to differential equations Variational methods for elliptic and parabolic problems His publication record shows consistent output in top mathematics journals with recent focus on validated numerics for PDEs and dynamical systems. Key trends include computer-assisted proofs for connecting orbits, rigorous bifurcation analysis, and topological validation of complex patterns. His collaborative work spans institutions including CWI, Leiden University, and international partners. Teaching responsibilities include Single Variable Calculus, Numerical Methods, and specialized courses like Variational Methods for PDEs. He served as Course Director for Mathematics & Business Analytics (2008-2014) and has taught at Amsterdam University College since 2003. He leads the Amsterdam Center for Dynamics and Computation, focusing on computational approaches to dynamical systems. Current projects involve validated integration of PDEs, computational Conley-Floer homology, and applications to geometric flows and pattern formation.

• Statistics
• Business Analytics
• Data Analysis
• +۳ مورد دیگر

Dr. Reza Mohammadi is an Assistant Professor of Statistics at the Faculty of Economics and Business, University of Amsterdam. His work focuses on statistical modeling and data analysis within the Business Analytics section. Contact: a.mohammadi@uva.nl | +31 (0)20 525 4274 Research Interests: Statistics, Business Analytics, and Data Analysis.

• Modern German History
• Modern Italian History
• Historiography
• +۵ مورد دیگر

Frans Willem Lantink is an Assistant Professor at the Department of History and Art History , Faculty of Humanities , Utrecht University . He directs the Honours Program for Humanities and focuses on Political History within the Humanities Research Institute . Research Interests : Modern German and Italian history, historiography, political ideologies, history of elites, papacy, and monarchy. Key Activities : Organized international colloquia (e.g., Culture Wars , 2023), co-chaired events on Italian monarchies (2021), and delivered invited talks on cultural pessimism and liberal thought. Teaching : Engaged in academic and public lectures, including the Studium Generale series. Contact : Office at Drift 6, Room 2.05, Utrecht. Email: f.w.lantink@uu.nl and fwlantink@uu.nl .

• Psychometrics
• Latent Variable Modelling
• Structural Equation Modelling
• +۵ مورد دیگر

Melanie Partsch is a postdoctoral researcher at Utrecht University's Faculty of Social and Behavioural Sciences , Department of Methodology and Statistics. Previously, she worked at the University of Education Weingarten and GESIS—Leibniz Institute for the Social Sciences. Current position since 2023: Postdoctoral researcher Previous roles: Research associate (2017-2022) Research Expertise : Psychometrics and latent variable modeling Machine learning applications in structural equation modeling Development of personality assessment tools Measurement of character strengths and values Questionnaire design and sociodemographic variable validation Education data infrastructure standards Labs & Collaborations : Measurement and Machine Learning Lab at Utrecht University KonsortSWD project (National Research Data Infrastructure NFDI) Collaborative work with international institutions Publications : Recent work focuses on structural equation modeling misfit detection using machine learning Development of efficient character strength scales Analysis of lifelong learning determinants Cross-cultural validation studies

• Mathematical Modeling
• Stochastic Modeling
• Numerical Methods
• +۷ مورد دیگر

Dr. Chiheb Ben Hammouda is an Assistant Professor in the Mathematical Institute within the Faculty of Science at Utrecht University, where he joined in September 2023. His research integrates mathematical (stochastic) modeling, numerical analysis, and advanced computational methods to address complex problems in engineering and science that exhibit challenging features such as high dimensionality, complex dynamics, low regularity, and rare events. PhD in Applied Mathematics and Computational Science, KAUST (2016-2020) MSc in Applied Mathematics and Computational Science, KAUST (2013-2015) BSc in Multidisciplinary Engineering, Ecole Polytechnique de Tunisie (2010-2013) Dr. Ben Hammouda's research focuses on enhancing numerical methods to achieve optimal performance balancing efficiency and interpretability. His work spans theory, algorithm design, and numerical analysis with applications in quantitative finance (pricing financial derivatives, risk management), optimal control for power systems management, stochastic reaction networks (biochemical systems, epidemiology), and machine learning for forecasting extreme events. He employs methodologies including Monte Carlo methods, multilevel MC, Quasi-MC, sparse grids, Fourier methods, stochastic optimal control, importance sampling, and machine learning. Analysis of Dr. Ben Hammouda's publication record reveals a consistent focus on developing efficient computational methods for high-dimensional problems across multiple domains. His work shows a trajectory from foundational numerical methods development toward increasingly complex applications in finance, energy systems, and biological modeling. A notable trend is the integration of machine learning techniques with traditional numerical methods to address the curse of dimensionality in complex systems. Dr. Ben Hammouda actively supervises multiple PhD, Master's, and Bachelor's students working on projects related to numerical methods in finance, energy systems, and stochastic reaction networks. His students have pursued diverse research topics including Fourier pricing of multi-asset options, numerical smoothing techniques, optimal control for power systems, and dimensionality reduction in stochastic reaction networks. Several of his former students have secured positions at institutions including KAUST, RWTH Aachen University, and financial firms like Allianz Global Investors and Deloitte. Dr. Ben Hammouda is actively involved in the academic community as co-organizer of major conferences including the Study Group Mathematics with Industry (SWI 2025) and the International Conference on Computational Finance 2024. He serves as Associate Editor for the Statistics and Computing Journal and referees for multiple prestigious journals including Journal of Computational and Applied Mathematics and Quantitative Finance. His organizational leadership extends to mini-symposia at major international conferences on Monte Carlo methods and computational finance.

• Software Development
• Agile Software Development
• Scrum
• +۴ مورد دیگر

Gerard Wagenaar is an Assistant Professor at the Department of Computer and Information Science, Faculty of Science, Utrecht University. His work focuses on agile software development practices, particularly the formal and informal use of artefacts in Scrum teams. Areas of Expertise: Software Development, Agile Methodologies, Scrum, Artefact Management Current Research: Definition of Done (DoD) and Definition of Ready (DoR) in agile frameworks, with emphasis on structure, quality, and testing integration. Recent Publications highlight agile frameworks, software security maturity, and team effectiveness. His research often involves case studies and structured decision-making models. For collaboration and inquiries, contact via g.wagenaar@uu.nl .

Claudia Filippiمشاهده پروفایل

استاد

• Quantum Chemistry
• Computational Physics
• Electronic Structure Theory
• +۳ مورد دیگر

Prof. Claudia Filippi is a Full Professor at the University of Twente since 2009, affiliated with the Faculty of Science and Technology (TNW). She leads research in the Computational Chemical Physics (CCP) group. Education: Ph.D. in Physics, Cornell University (1996) Laurea in Fisica, Universitá di Trento (1991) As a leading expert in quantum Monte Carlo (QMC) methods, her work spans electronic structure theory , excited states , and materials science . She develops advanced computational techniques for accurate molecular and solid-state simulations, with recent focus on exascale hardware adaptation and multi-level QMC approaches. Her research is characterized by quantum mechanical simulations of complex systems, including photoactive molecules , nitrogenase models , and bioconjugate systems . She contributes to method development in wave function optimization and derivative calculations for QMC, and her work bridges theoretical chemistry and computational physics . Recent publications highlight her team's work on exascale quantum simulations (2025), electronic excitations in cyanine dyes (2024), and relativistic effects in nitrogenase models (2024). She has pioneered QMC/MMpol methods for excited states and state-specific embedding potentials for accurate excitation energy calculations. Research Labs/Teams: Computational Chemical Physics (CCP) group, University of Twente Collaborations with international institutions including Universiteit Leiden and Universitá di Trento