جست‌وجوی استاد و پژوهشگر

Daniel Valesinمشاهده پروفایل

دانشیار

• Interacting Particle Systems
• Percolation Theory
• Random Graphs

Daniel Valesin is an Associate Professor of Mathematics at the Johann Bernoulli Institute, University of Groningen, specializing in Interacting Particle Systems, Percolation Theory, and Random Graphs. His work bridges probability theory and statistical mechanics with applications in network science and epidemic modeling. His academic journey includes: B.Sc. from Fundação Getulio Vargas, Brazil (2000-2004) M.Sc. from Instituto de Matemática Pura e Aplicada, Brazil (2005-2007) Ph.D. from Ecole Polytechnique Fédérale de Lausanne, Switzerland (2007-2011) Post-doctoral fellowship at University of British Columbia, Canada (2011-2014) Valesin's research centers on stochastic processes on graphs , with particular emphasis on phase transitions in contact processes, percolation models, and voter dynamics. His theoretical frameworks address metastability, extinction times, and spatial correlations in complex networks, contributing to fundamental understanding of epidemic spread and critical phenomena. Analysis of his 15 most recent publications reveals consistent focus on contact process dynamics across diverse network structures (random graphs, trees, lattices) and percolation models with long-range interactions. Key trends include rigorous asymptotic analysis, metastability characterization, and exploration of how network topology influences phase transitions. His notable recognitions include: NWO Top Module 2 Grant for epidemic modeling on dynamic networks University of Groningen's Mathematics Teacher of the Year (2014-2015) Canadian Government Post-doctoral Fellowship (2011-2014) Valesin actively mentors doctoral researchers including Réka Szabó, Pedro Luis Barrios Pantoja (co-supervised with Milton Jara), Eric Ossami Endo (completed 2018), and Gabriel Leite Baptista da Silva. His NWO-funded project exemplifies his commitment to translating theoretical advances into network epidemic insights. Collaborations span an international network including Aernout van Enter, Thomas Mountford, and Jean-Christophe Mourrat.

Jorn van der Polمشاهده پروفایل

مدرس

• Matroid Theory
• Combinatorics
• Discrete Mathematics
• +۳ مورد دیگر

Jorn van der Pol is a Lecturer in the Department of Mathematics of Operations Research. His research focuses on matroid theory, combinatorics, and discrete mathematics, with notable contributions to the study of matroid enumeration, properties of matroids, and their applications in graph theory and optimization. His work often intersects with extremal combinatorics, hypergraph structures, and algorithmic enumeration techniques. Key research interests include Turán densities in hypergraphs, binary geometries, and the analysis of matroid minors. Recent collaborations explore the interplay between matroid theory and stochastic simulation methods. His publications span prestigious journals such as SIAM Journal on Discrete Mathematics and the Electronic Journal of Combinatorics, with an emphasis on open-access research. Van der Pol’s research trends highlight advancements in enumerative combinatorics, symmetry analysis in matroids, and probabilistic approaches to matroid structures. His work contributes to foundational questions in discrete mathematics and operations research, with applications in graph theory and algorithm design. No scientific awards are explicitly mentioned. His advising and grant activities remain unspecified in the provided texts. Research collaborations include studies on Earth and Planetary Sciences, though the primary focus remains matroid theory and combinatorial structures.

Tom Snijdersمشاهده پروفایل

استاد

• Social Networks
• Multilevel Analysis
• Stochastic Models in Social and Behavioral Sciences
• +۳ مورد دیگر

Prof. Tom Snijders is a Full Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Sociology/ICS department. He holds an Emeritus Fellow position at Nuffield College, University of Oxford. His research focuses on social networks, multilevel analysis, stochastic models, and statistical methodologies in social sciences. He has authored 260+ publications and supervised 50+ students. Key research interests include network dynamics, computational modeling, and quantitative methods. Recent work explores opinion dynamics, peer relationships in education, and co-evolution in corporate networks. He has received prestigious awards like the William D. Richards Jr. Software Award (2017) and a 2013 award for network evolution studies. Snijders has contributed to academic governance, serving on editorial boards (e.g., Edward Elgar Publishing) and as Chair of the Scientific Council at the Institute for Advanced Study in Toulouse. His work aligns with UN SDGs through contributions to education quality and sustainable communities.

Alexander Van Werdeمشاهده پروفایل

پژوهشگر

• Random Matrix Theory
• Spectral Algorithms
• Stochastic Processes
• +۵ مورد دیگر

Alexander Van Werde is a doctoral researcher at Eindhoven University of Technology, affiliated with the Department of Mathematics and Computer Science. He is supervised by Jaron Sanders and recently defended his PhD thesis titled Latent structures in Markovian processes and associated random matrices . He will transition to a postdoctoral researcher role at the Cluster of Excellence Mathematics Münster. Education: Current PhD candidate at TU/e Research interests span random matrix theory , Markovian processes , algebraic geometry , and applications of spectral algorithms . His work explores spectral characterization of networks, latent structures in stochastic processes, and intersections with algebraic combinatorics. Additionally, he contributes to theoretical computer science through Lean4-based proof formalization . Recent articles focus on dependent random matrices , semipermeable barriers in Brownian motion , and algebraic properties of Bernstein-Sato ideals . These works emphasize asymptotic behavior , leading-order term analysis , and spectral concentration phenomena . Scientific awards include: 2023 Best Poster Award for universality-based concentration in dependent random matrices Projects include OCENW.KLEIN.324 on Markov chain clustering (2021–2025). He also engages in teaching (Probability and Stochastics 1) and public engagement through blogs and art creation.

Burcu Kulahcioglu Ozkanمشاهده پروفایل

استادیار

• Formal Methods
• Software Testing
• Concurrent Systems
• +۷ مورد دیگر

Burcu Kulahcioglu Ozkan is an Assistant Professor and Delft Technology Fellow at the Delft University of Technology (TU Delft) Software Engineering Research Group (SERG). Her research bridges formal methods with software engineering to enhance the reliability of concurrent and distributed systems , with applications in blockchain systems and graph databases . Recipient of Amazon Research Award (2022) and Stellar Academic Research Grant (2023) Founder of the FORSE Lab , focusing on lightweight formal methods for software engineering Co-PI of Ripple’s UBRI program at TU Delft, targeting blockchain testing Co-leader of the TU Delft-JetBrains AI4SE collaboration track Her research spans model checking , debugging , and fuzz testing , addressing challenges in event interleavings and network faults in distributed systems. She has received multiple best paper awards , including OOPSLA’23 Distinguished Paper and ICGT’25 Best Software Science Paper . She serves on program committees for major conferences like ICSE’26 , CAV’25 , and ECOOP’25 , and has delivered invited talks at VLDB Summer School (2025), Sabanci University (2024), and Dagstuhl Seminars (2023).

• Probability Theory
• Random Graphs
• Stochastic Processes
• +۲ مورد دیگر

Dr. S.A. Donderwinkel is a researcher at the Bernoulli Institute within the Faculty of Science and Engineering at the University of Groningen. Their work focuses on probability theory, random graph models, and stochastic processes, with recent publications exploring graphic sequences, critical tree structures, and directed configuration models. They actively contribute to academic research through collaborations and peer-reviewed publications. University: University of Groningen School: Faculty of Science and Engineering Department: Bernoulli Institute Role: Researcher Email: s.a.donderwinkel@rug.nl Research interests include: Integrated random walks and graphic sequences Critical tree analysis and Cauchy distributions Height bounds in random trees Universality in directed configuration models Asymptotic behavior of random structures Their recent publications (2024-2025) demonstrate expertise in probabilistic combinatorics and graph theory, with applications in theoretical computer science and mathematical physics. All articles exhibit rigorous peer-reviewed academic contributions.

Wouter De Baeneمشاهده پروفایل

دانشیار

• Cognitive Neuropsychology
• Neuroimaging
• Medical Imaging Analysis
• +۳ مورد دیگر

Wouter De Baene is an Associate Professor in the Department of Cognitive Neuropsychology at Tilburg University’s Tilburg School of Social and Behavioral Sciences. He holds a PhD from KU Leuven and a PostDoc from Ghent University, specializing in Experimental Psychology and Neuroimaging. His research focuses on brain anatomy, function, and cognitive functioning in both healthy and clinical populations, employing neuroimaging techniques like diffusion MRI, resting-state fMRI, and task-based fMRI, alongside advanced analyses such as machine learning and graph theory. Affiliations: Tilburg University, Department of Cognitive Neuropsychology; Academic Collaborative Center for Digital Health & Mental Wellbeing. Education: Master’s and PostDoc in Experimental Psychology (Ghent University); PhD in Neuroimaging (KU Leuven). Research Interests: Neuroimaging applications in clinical populations (e.g., glioma, meningioma, brain metastases). Machine learning for automated tumor segmentation and predictive modeling. Functional and structural connectivity in brain tumors and neurocognitive disorders. Effects of treatments (e.g., surgery, radiotherapy) on cognitive outcomes. Publications: Recent work emphasizes automated tumor segmentation, cognitive function prediction in glioma patients, and neuroimaging-based analyses of brain networks. His articles span topics like meningioma segmentation using nnUNet, executive function impairments linked to tumor location, and machine learning applications in oncology. Grants & Labs: Involved in multidisciplinary collaborations, including the Academic Collaborative Center for Digital Health & Mental Wellbeing. Active in editorial roles (e.g., BMC Neuroscience).

• Magnetoencephalography
• Functional Connectivity
• Neuroimaging Analysis
• +۳ مورد دیگر

Rikkert Hindriks is an Assistant Professor at the Faculty of Science in the Department of Mathematics at Vrije Universiteit Amsterdam. He also holds an affiliation with Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep . His research focuses on advanced neuroimaging techniques, particularly magnetoencephalography (MEG) and electroencephalography (EEG), with emphasis on functional connectivity, neural signal processing, and brain network dynamics. Key research areas include phase-lag analysis, non-reversible brain state characterization, and spatiotemporal modeling of neural activity. He teaches courses such as Probability and Statistics and oversees Bachelor Project: Business Case . Hindriks has published extensively in journals like NeuroImage and PLoS Computational Biology , with recent work addressing MEG data reconstruction and neural field theory applications. No ancillary activities or scientific awards are listed in the provided profile. His research collaborations span institutions globally, reflecting his interdisciplinary approach to neuroscience and computational modeling.

Wouter Kagerمشاهده پروفایل

استادیار

• Probability Theory
• Discrete Systems
• Random Spatial Behavior
• +۶ مورد دیگر

Wouter Kager is an Assistant Professor of Probability in the Department of Mathematics at Vrije Universiteit Amsterdam. His research focuses on discrete systems with random spatial behavior, including lattice aggregation models, random fields, and self-interacting random walks. He is particularly interested in the limiting behavior and scaling limits of these models, contributing to Probability Theory and related disciplines. Research Interests: Kager's work explores the intersection of probability theory and statistical physics. His research includes studies on stochastic processes, lattice models (e.g., Ising model), aggregation phenomena, and network stability. He has developed tools for analyzing stochastic systems, such as rotor-router aggregation and diamond aggregation models. His recent work also addresses applications in coordination games and queueing theory. Tools & Contributions: Kager has created open-source tools for converting EPS/FIG files to PDF/PNG, optimizing n-up printing, and LaTeX presentation themes. These tools are widely used in academic and technical contexts. His contributions to computational methods reflect his interdisciplinary approach to research. Publications: His articles span topics like stochastic domination, critical phenomena in random graphs, and stability analysis of stochastic networks. Recent works include advancements in likelihood ratio analysis, convex cone theory, and coordination game models.

Franco Ruzzenentiمشاهده پروفایل

استادیار

• Energy & Fuels
• Environmental Studies
• Complex Systems
• +۷ مورد دیگر

Franco Ruzzenenti is an Assistant Professor (tenure track) at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Integrated Research on Energy, Environment & Society (IREES). He holds additional roles as Programme Director of the MSc 'Energy & Environmental Sciences' and Director of Education at the Energy & Sustainability Institute Groningen (ESRIG). His research focuses on complex systems, network theory, and energy sustainability, with particular emphasis on topics like energy efficiency, rebound effects, and carbon implications of global systems. Affiliations: University of Groningen, Faculty of Science and Engineering, IREES, ESRIG Expertise: Energy Modelling, Industrial Ecology, Climate Change, Sustainable Development Goals Ruzzenenti’s work bridges environmental and socio-economic systems, addressing challenges such as fossil carbon accumulation in the technosphere, sovereign wealth funds’ carbon footprints, and the dynamics of grid-scale battery storage in the EU. He employs interdisciplinary methods, including agent-based modeling, econometrics, and network theory, to analyze energy transitions and policy impacts. His research outputs span high-impact journals like Cell Reports Sustainability , Nature Climate Change , and Energy Policy , reflecting contributions to global sustainability science. Collaborations include projects funded by the EU and international partnerships on energy systems and environmental policy.

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.

• Topology
• Functional Analysis
• Set Theory
• +۳ مورد دیگر

Dr. JJ Dijkstra is a Lecturer in the Department of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on advanced topics in topology and functional analysis, including Erdös space, Hilbert spaces, and homeomorphism groups. He has supervised four PhD theses and contributed to over 40 peer-reviewed publications. His work bridges pure mathematics with applications in metric geometry and set theory. Research interests include the topological structure of spaces, particularly in separable Banach spaces and Peano continua. He explores properties of closed sets and submeasures in nonseparable contexts. His studies on fuzzy compacta integrate topological principles with fuzzy set theory. No scientific awards are explicitly mentioned, but his work is referenced in 1 Wikipedia page and followed by 1 Mendeley reader community. His email is j.j.dijkstra@vu.nl for academic inquiries.

• Computational Geometry
• Algorithms
• Complexity Theory
• +۴ مورد دیگر

Till Miltzow is an Assistant Professor in the Department of Algorithms and Complexity at the Faculty of Science, Utrecht University. His research primarily focuses on computational geometry, algorithms, and complexity theory, with particular expertise in the existential theory of the reals (ER) and its applications to geometric problems. Dr. Miltzow has established himself as a leading researcher in computational geometry, particularly known for his work on the Art Gallery Problem, where he and his collaborators proved the problem is ER-complete. His research spans a wide range of topics including geometric embeddings, Hausdorff distance computations, token swapping problems, and the complexity of various geometric decision problems. His research interests include: Computational Geometry and Algorithm Design Complexity Theory, particularly the Existential Theory of the Reals (ER) Geometric Embeddings and Representations Art Gallery Problems and Polygon Guarding Computational Topology and Shape Analysis Algorithmic Game Theory Dr. Miltzow's publications demonstrate a consistent focus on establishing the computational complexity of geometric problems, often showing ER-completeness for problems previously thought to be NP-hard. His work bridges theoretical computer science with practical geometric applications, contributing significantly to our understanding of the boundaries between tractable and intractable problems in computational geometry. Among his notable achievements is the proof that the classic Art Gallery Problem is ER-complete, which resolved a long-standing open question about the problem's complexity. His research has been published in top-tier venues including the Journal of the ACM, SIAM Journal on Computing, and proceedings of major conferences like FOCS and SoCG. Dr. Miltzow maintains an active research program with numerous collaborations across Europe and has made significant contributions to understanding the complexity landscape of geometric problems. His work has implications for computer graphics, robotics, and computer vision, where geometric decision problems frequently arise.

• Network Science
• Graph Theory
• Markov Processes
• +۷ مورد دیگر

P.F.A. Van Mieghem is a Professor at the College of Electrical Engineering, Mathematics and Computer Science, specializing in Network Architectures and Services. His research focuses on mathematical modeling of complex networks, including reliability analysis, epidemic dynamics, and temporal graph generation. Network Reliability Polynomials Continuous-Time Markov Processes Temporal Contact Graphs Community Detection Algorithms He received the James P.G. Sterbenz Best Paper Award (2019) for his contributions to topological network analysis. Recent work explores fractional calculus applications in epidemiological network models and random walker-based graph reproduction techniques.

Floske Spieksmaمشاهده پروفایل

دانشیار

• Operations Research
• Stochastic Processes
• Decision Theory
• +۴ مورد دیگر

Floske Spieksma is an Associate Professor at the Mathematical Institute (Probability Theory) of Leiden University , where she has worked since 1985 in various roles including PhD researcher, Postdoc, Assistant Professor, and Associate Professor. Her research focuses on Stochastic Processes , Markov Decision Processes , and Operations Research , particularly in Queueing Theory and Network Optimization . She has supervised multiple PhD students including Herman Blok and Laurens Smit and co-organized international workshops. Education : PhD in Mathematics (1990), Leiden University MSc (cum laude) in Mathematics (1985), Leiden BSc in Mathematics (1981), Leiden BA in Spanish (1981), Leiden Research Trends : Her recent publications analyze unbounded jump rate Markov processes , graph resistance metrics , and stochastic decision frameworks . Key collaborations include work with M.N. Katehakis, L. Smit, and H. Blok. Scientific Awards : KNAW 5-year fellowship (1993) C.J.Kok prize (1991) Shell travel grant (1991) Two book grants (1984) Advising : Supervises PhD students and research projects, with past advisees including Herman Blok and Laurens Smit. Organized the H.E.T. Symposium (2012) connecting students with alumni in industry.