جست‌وجوی استاد و پژوهشگر

Juan Peypouquetمشاهده پروفایل

استاد

• Optimization
• Mathematical Analysis
• Variational Inequalities
• +۴ مورد دیگر

Juan Peypouquet is a Professor of Optimization at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute for Mathematics, Computer Science, and Artificial Intelligence. His research focuses on theoretical aspects of optimization, dynamical systems, and their applications in healthcare, mining, and other fields. He holds a Ph.D. in Applied Mathematics and has contributed extensively to the field of variational analysis and numerical optimization. His research interests include optimization algorithms, asymptotic analysis of dynamical systems, and machine learning applications in healthcare management. Notable projects include predicting no-show appointments in pediatric hospitals using machine learning and studying inertial iterations for convex minimization problems. Peypouquet has published over 35 peer-reviewed articles, with recent work emphasizing inertial Krasnoselskii-Mann iterations, Hessian-driven damping dynamics, and penalty schemes for constrained variational inequalities. His contributions bridge theoretical mathematics and practical applications, such as optimization in mining operations and image processing. Affiliations: Bernoulli Institute, Systems, Control and Applied Analysis group. Ancillary Activities: Yoga instructor at the Sports Center RUG & HG, and member of the Huis voor de Sport Groningen foundation.

Michael Biehlمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Data Analysis
• +۴ مورد دیگر

Michael Biehl is a Full Professor of Machine Learning, Theory, and Applications at the University of Groningen, affiliated with the Bernoulli Institute's Intelligent Systems Group. He holds an honorary position as Professor of Machine Learning at the University of Birmingham. His research focuses on machine learning theory, neural networks, and their applications in biomedical data analysis, statistical physics, and computational science. Education: Not explicitly detailed in texts but inferred through his academic roles and research output. Research Interests: Machine Learning algorithms and their theoretical foundations Neural Networks, including activation function analysis and network dynamics Biomedical data analysis, particularly using metabolomics and imaging data Statistical physics of learning processes Interpretable AI models for clinical decision support Recent Trends in Articles: Biehl’s recent work emphasizes explainable AI in healthcare, concept drift adaptation, and applications in neuroimaging and endocrinology. His studies often integrate machine learning with biomedical datasets to develop diagnostic tools for conditions like adrenal disorders and movement disorders. Awards: Distinguished Visiting Fellow (2014) Best Presentation Award (2016) sbv IMPROVER Challenge Awards (2013) Honorary Professorship at University of Birmingham (2021) Grants/Advising: Active in supervising PhD projects and teaching neural networks. His grants likely support interdisciplinary research in AI and healthcare, though specific grants are not detailed here. Labs/Teams: Leads the Intelligent Systems Group at Groningen and collaborates with the Centre for Systems Modelling and Quantitative Biomedicine at Birmingham.

• Theoretical Chemistry
• Computational Science
• Physical Chemistry
• +۳ مورد دیگر

Prof. dr. H.B. (Ria) Braam is a Professor in Theoretical Chemistry at the University of Groningen, affiliated with the Zernike Institute for Advanced Materials within the Faculty of Science and Engineering. Her research focuses on computational and theoretical methods to study molecular electronic structure, with a particular emphasis on non-orthogonal configuration interaction (NOCI) for large molecular systems. She leads projects on singlet fission, exciton dynamics, and electronic coupling in organic materials. Her expertise includes quantum chemistry, molecular modeling, and high-performance computing. Key contributions include the development of the GronOR software for NOCI calculations and studies on dielectric properties of organic semiconductors. Braam holds additional roles such as Member of the FWO Chemistry Committee and Editorial Board of the International Journal of Quantum Chemistry. Recent research highlights include advancements in NOCI methodologies for singlet fission mechanisms, triplet diffusion in molecular materials, and computational strategies for energy transport. Her work bridges fundamental theory with applications in materials science and photovoltaics.

Oksana Kavatsyukمشاهده پروفایل

استادیار

• Physics
• Particles & Fields
• Nuclear Physics
• +۵ مورد دیگر

Oksana Kavatsyuk is an Assistant Professor at University College Groningen, part of the University of Groningen. She holds a position in the Department of Mathematics and Natural Sciences and serves as Director of Academic Staff. Her research spans Nuclear Physics, Astroparticle Physics, and Science Education. Kavatsyuk earned her PhD in Nuclear Physics from the National Taras Shevchenko University of Kyiv (2005) and has held postdoctoral positions at GSI (Germany) and KVI-CART (Netherlands), focusing on detector development for particle therapy and neutrino telescopes. Education: PhD in Nuclear Physics (2005), National Taras Shevchenko University of Kyiv Postdoctoral Research: GSI (2005-2008), KVI-CART (2011-2016) Research Interests: Neutrino detection (KM3NeT collaboration) Proton therapy imaging and dosimetry Gas-phase biomolecules and radiation effects Inclusive STEM education practices Her work includes pioneering studies on proton beam verification systems, detector modules for cubic-km neutrino telescopes, and radiation-induced phenomena in biomolecules. She leads educational initiatives on gender-inclusive STEM teaching and innovative classroom practices. Notable contributions include: Development of KM3NeT optical modules for deep-sea neutrino detection Pioneering proton beam imaging techniques using fluorescent methods Advancing understanding of electron detachment processes in DNA

Thijs van Ommenمشاهده پروفایل

استادیار

• Causal Inference
• Machine Learning
• Statistical Learning
• +۱ مورد دیگر

Thijs van Ommen is an Assistant Professor in the Department of Information and Computing Sciences at Utrecht University. His research centers on causal inference, machine learning, and statistical methodologies for data science applications. He teaches courses in Advanced Machine Learning and core Machine Learning principles, emphasizing algorithmic foundations and real-world implementations. Research explores causal entropy, graphical models, and robust decision-making under uncertainty. Recent publications address causal bandits, information bottlenecks, and efficient algorithms for structural equation models. Van Ommen actively presents at conferences like SIAM Applied Algebraic Geometry and co-chairs sessions at INFORMS. His work bridges theoretical machine learning with practical challenges in causal discovery and adaptive systems.

• Robotics
• Algorithmic Automation
• Simulation
• +۳ مورد دیگر

Prof. AF (Frank) van der Stappen is a Professor of Robotics and Automation at Utrecht University's Faculty of Science, Department of Information and Computing Sciences. He also holds a position at University College Roosevelt. His research focuses on robotics (grasping, manipulation, motion), algorithmic automation, simulation, computational geometry, and computer animation. He has been an IEEE Fellow since 2017. His work emphasizes geometric computing and its applications in automation, with contributions to form-closure grasping, path planning, and virtual character animation. Education: PhD in Motion Planning from Utrecht University (1994), MSc in Distributed Data Structures from Eindhoven University of Technology (1988). Research Interests: Robotics (manipulation/grasping), algorithmic automation, geometric algorithms, computer animation, and crowd simulation. His work bridges theoretical foundations with practical applications in manufacturing, virtual environments, and agricultural robotics. Awards: IEEE Fellow (2017). Advisees/Grants: No explicitly listed students, but extensive collaborative work with researchers like Elon Rimon, Ken Goldberg, and Mark Overmars. His research includes grants related to motion planning, caging, and automation. Labs/Teams: Involved in geometric computing and robotics teams at Utrecht University, contributing to Game Research themes and interdisciplinary projects.

Günsu Merin Abbasمشاهده پروفایل

پژوهشگر

• Building Energy Performance
• Natural Ventilation
• Climate Change Impact on Buildings
• +۵ مورد دیگر

Günsu Merin Abbas is a postdoctoral researcher at Eindhoven University of Technology (TU/e) within the Built Environment faculty's Building Performance department. She is also a fulltime lecturer at TOBB University of Economics and Technology's Department of Architecture. Her research focuses on building energy performance, simulation integration, indoor environmental quality, and climate change adaptation in architectural design. Abbas holds a PhD in Architecture from Middle East Technical University (2021) and a Master's degree from the same institution (2014), alongside a Bachelor's from Izmir University of Economics (2011). Education: B.Arch, Izmir University of Economics (2011) M.Arch, Middle East Technical University (2014) PhD in Architecture, Middle East Technical University (2021) Current Roles: Postdoc, Renovation Explorer Project (TU/e) Fulltime Lecturer, TOBB University Her research emphasizes tool integration for healthier indoor environments, particularly through computational methods like CFD and machine learning. Key projects include the Renovation Explorer initiative, developing dynamic models and KPIs for building renovation strategies under climate change. Abbas has contributed to over 19 peer-reviewed publications and reports, focusing on ventilation optimization, contaminant dispersion, and sustainable design practices. She also leads pedagogical innovations in architectural education via workshops like MateriART, integrating computational design with material exploration. Her work aligns with UN SDGs related to climate action and sustainable cities, addressing energy efficiency and resilient building design. Abbas collaborates internationally on projects analyzing building performance in Mediterranean climates and pandemic-era ventilation strategies.

Peter W.A. Zegelaarمشاهده پروفایل

استاد

• Advanced Driver Assistance Systems (ADAS)
• Vehicle Dynamics and Control
• Cooperative Driving Systems
• +۳ مورد دیگر

Peter W.A. Zegelaar is a part-time Professor of Smart Vehicle Technology at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). His academic role is within the Dynamics and Control research group. He holds dual affiliations: as Technical Expert Brake Controls at Ford Research and Advanced Engineering Europe (since 2003) and former research roles at Robert Bosch GmbH (1998–2003). He earned his MSc (1991) and PhD (1998) in Mechanical Engineering from Delft University of Technology (TU Delft). Education: MSc in Mechanical Engineering, TU Delft (1991) PhD in Mechanical Engineering, TU Delft (1998) His research focuses on advanced driver assistance systems (ADAS) , including cooperative driving strategies, collision avoidance, and sensor integration. Key projects include Simultaneous Localization and Mapping (SLAM) with radar sensors, trajectory planning for parking, and platooning control algorithms. His work bridges theoretical control systems with automotive industry applications. Recent research trends emphasize cooperative autonomous platooning and merging control strategies , addressing challenges like gap management and sensor noise mitigation. His publications highlight innovations in merging algorithms and lane-change dynamics for automated vehicles. Advising & Grants: Supervised 8 academic works (names unlisted). Collaborations include Ford, Bosch, and TU/e’s Dynamics and Control group. His research aligns with UN Sustainable Development Goals related to road safety and sustainable transport. Labs/Teams: Active in TU/e’s Dynamics and Control group and Ford’s Vehicle Dynamics department, focusing on brake control systems and cooperative driving solutions.

Andreas Spahnمشاهده پروفایل

دانشیار

• Ethics of Technology
• Environmental Ethics
• Sustainability
• +۴ مورد دیگر

Andreas Spahn is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Philosophy & Ethics research group within the Department of Industrial Engineering and Innovation Sciences. His work focuses on ethics of technology, particularly energy systems, behavior change technologies, and environmental ethics. He holds a doctorate from the Ruhr-Universität-Bochum and has held teaching positions at TU/e since 2007. Education: PhD in Philosophy, Ruhr-Universität-Bochum (2007) Studies at University of Essen and University of Notre Dame Research Interests: Dr. Spahn explores ethical dimensions of technological innovation, including energy transitions, sustainable development, and the societal impacts of persuasive technologies. His projects address challenges like balancing individual freedoms with collective sustainability goals and integrating moral values into co-creation processes for urban energy systems. Awards: Best Teacher Award (2007, 2008, 2012, 2016) Grants & Projects: SCALINGS (EU Horizon 2020): Investigates moral values in co-creation of urban energy tech. MORALPT (NWO): Examines persuasive tech for household energy saving. 4TU.Ethics Taskforce Chair: Leads sustainability initiatives in engineering ethics. Teaching & Outreach: Spahn contributes to courses like ITEC-Ethics of Technology and Engineering and emphasizes student co-creation in ethics education. His work bridges academic research with practical applications in energy policy and sustainable innovation. Labs & Collaborations: Active in EIRES Research and collaborates internationally on topics ranging from Buddhist ethics of technology to democratic design of social media platforms.

Manuela Vecchiمشاهده پروفایل

دانشیار

• Astroparticle Physics
• High-Energy Astrophysics
• Cosmic Rays
• +۳ مورد دیگر

Manuela Vecchi is an Associate Professor and Rosalind Franklin Fellow at the University of Groningen's Faculty of Science and Engineering, affiliated with the Kapteyn Astronomical Institute. Her expertise spans astroparticle physics, focusing on high-energy phenomena observed via cosmic rays, gamma rays, and neutrinos. She contributes to major collaborations like the Alpha Magnetic Spectrometer (AMS-02) aboard the International Space Station and the Cherenkov Telescope Array (CTA). Her research includes studies on cosmic ray composition, solar modulation effects, and dark matter searches. She leads an NWO-funded project on antideuterons as probes for new physics and co-leads efforts in CTA camera development. Vecchi's work bridges observational astrophysics and fundamental physics, with publications on topics like gamma-ray transients, pulsar emissions, and cosmic ray antiprotons. Key projects involve analyzing AMS-02 data for antinuclei detection and advancing CTA's capabilities for gamma-ray astronomy. She has supervised PhD students in these areas and teaches advanced astrophysics courses. Her contributions to instrumentation and data analysis underscore her role at the forefront of multi-messenger astrophysics.

Johan van Leeuwaardenمشاهده پروفایل

استاد

• Queueing Theory
• Stochastic Processes
• Load Balancing
• +۱ مورد دیگر

Johan van Leeuwaarden is a Full Professor specializing in stochastic operations research, with expertise in queueing theory, load balancing, and random graph analysis. His work develops mathematical models for large-scale systems like cloud networks and service industries. He analyzes heavy-traffic regimes and distributionally robust optimization for systems with uncertain parameters. Current research includes appointment scheduling under service time uncertainty and learning algorithms for dynamic resource allocation.

• Horticulture
• Plant Physiology
• Vertical Farming
• +۵ مورد دیگر

Prof. Leo Marcelis is a Professor and Chairholder of the Horticulture and Product Physiology Group at Wageningen University & Research, specializing in plant physiology and sustainable crop production systems. He leads major research initiatives such as the SKY HIGH vertical farming program and the 'LED it be 50%' energy-saving project. His work focuses on optimizing plant responses to light, environmental conditions, and resource use efficiency in controlled environments, including greenhouses and vertical farms. Marcelis holds editorial roles for Frontiers in Plant Science and advises institutions like the Leibniz Institute. His research bridges fundamental plant biology with applied horticultural practices, addressing global challenges in food security and sustainable agriculture. Education : Expertise in horticulture and plant physiology, with a focus on crop modeling and environmental control. Research Interests : Vertical farming scalability, LED lighting optimization, closed-system agriculture, and energy-efficient crop production. Projects : SKY HIGH (vertical farming innovation), LED it be 50% (energy reduction), and TIME SCALE (space agriculture). International Roles : Vice Chair of the Leibniz Institute’s Science Advisory Board and Dutch representative in the ISHS Council. Marcelis collaborates extensively with industry partners, including Philips, Unilever, and agricultural technology firms, translating research into practical solutions for growers and policymakers.

Christina Bergmannمشاهده پروفایل

پژوهشگر

• Early Language Acquisition
• Psycholinguistics
• Computational Linguistics
• +۳ مورد دیگر

Christina Bergmann is a researcher at the Max Planck Institute for Psycholinguistics in Nijmegen, The Netherlands, where she works within the Language Development Department . She previously conducted postdoctoral research at the Laboratoire de Sciences Cognitives et Psycholinguistique (Ecole Normale Supérieure, Paris) and completed her PhD at Radboud University Nijmegen and the International Max Planck Research School for Language Sciences . B.Sc. in Cognitive Science (University of Osnabrück, 2007) M.Sc. in Cognitive Neuroscience (Radboud University, 2009) PhD in Early Language Acquisition (Radboud University & Max Planck Research School, 2014) Her research focuses on how infants develop language skills despite variable environments, using experimental studies, large-scale collaborations, corpus analysis, meta-analyses, and computational models. She investigates how parental beliefs and input variability affect infant language acquisition. Christina's publications demonstrate expertise in computational modeling of speech processing, infant word recognition, and pronoun comprehension. Her work spans interdisciplinary approaches combining psycholinguistics, cognitive science, and artificial intelligence, with a particular emphasis on methodological transparency and collaborative research practices. Marie Skłodowska-Curie individual fellowship She has collaborated with leading researchers like Alejandrina Cristia and Emmanuel Dupoux , and contributes to platforms such as CogTales to support junior female cognitive scientists. Her career has been supported by institutions including the Dutch Science Organisation (NWO) , Fondation Pierre-Gilles de Gennes , and Ecole de Neurosciences Paris .

• Discrete Element Method (DEM) simulations
• Granular material dynamics
• Offshore geotechnics
• +۶ مورد دیگر

Prof. D.L. Schott is a Professor in Transport Engineering and Logistics at TU Delft. His research focuses on granular material dynamics, DEM-based simulations, metamaterial design, and maritime engineering applications. He leads projects involving offshore geotechnics, AI-driven modeling frameworks, and sustainable fuel systems for marine vessels. His work spans academic collaborations across Europe and Asia, with over 208 peer-reviewed publications and 19 datasets. Key contributions include validated DEM frameworks for scour protection systems, agent-based resilient vessel mission frameworks, and optimization strategies for metamaterials under impact loading. Schott actively participates in international conferences and interdisciplinary initiatives like the ISFOG symposium. He co-created datasets on hopper discharge dynamics and advised 12 graduate students. His research bridges computational mechanics with practical industrial challenges in bulk handling, energy systems, and smart maritime logistics. Education details are not explicitly stated, but his academic rank and extensive publications indicate advanced qualifications in mechanical engineering. Research interests emphasize integrating AI with granular flow simulations, structural resilience, and sustainable shipping solutions. Recent article trends highlight advancements in surrogate modeling techniques, metamaterial applications, and climate-responsive shipping activity projections. Scientific awards are not mentioned in the provided texts. Grants and collaborations are evident through his extensive publication and dataset records, including partnerships with companies like Nemag for innovative grab design. His lab activities involve large-scale industrial equipment co-simulations and experimental validation of numerical models.

B. Atasoyمشاهده پروفایل

دانشیار

• Transport Engineering
• Operations Research
• Logistics Optimization
• +۷ مورد دیگر

B. Atasoy is an Associate Professor at Delft University of Technology's Transport & Mobility Institute, specializing in Mechanical Engineering with a focus on Transport Engineering and Logistics. His work integrates operations research, synchromodal transport planning, and sustainable logistics systems. He leads projects like ADAPT-OR (2024-2028) and PATH2ZERO (2023-2027), addressing adaptive transportation systems and zero-emission shipping. His research explores intermodal freight optimization, electric ground support equipment, and future mobility scenarios. He has received awards including the Swiss Operations Research Society prize (2014) and the 2024 Best Academic Paper Award. His recent work includes analyzing the Dutch mobility system's 2050 scenarios and developing learning-based frameworks for synchromodal transport planning. He collaborates with industry and academic partners on projects such as NOVIMOVE and TRiLOGy, advancing waterborne logistics and autonomous shipping. Research Interests: Transport Engineering, Operations Research, Synchromodal Transport, Freight Optimization, Sustainable Mobility, Electric Vehicle Transition, and Urban Logistics. His projects often involve interdisciplinary collaboration, combining data-driven modeling with real-world applications. Grants & Projects: ADAPT-OR (2024-2028), PATH2ZERO (2023-2027), TRiLOGy (2020-2025), NOVIMOVE (2020-2024). These focus on adaptive systems, zero-emission shipping, and waterway logistics. Awards: 5 notable prizes including the 2014 Swiss OR Society award and 2024 Best Paper for synchromodal planning research.