David N. Jansen is a Researcher at the University of Twente's Department of Formal Methods and Tools. His work focuses on formal methods, probabilistic model checking, and algorithmic tools for software verification. He has contributed to the development of the probabilistic model checker MRMC and conducted extensive research on binary decision diagrams (BDDs) for symbolic model checking. His research interests include formal verification techniques, probabilistic systems analysis, and the optimization of computational methods in software engineering. He has published on topics such as BDD package comparisons, scheduling algorithms under uncertainty, and the performance evaluation of model checking tools. Jansen's work aligns with advancements in formal methods and their applications in ensuring software reliability and efficiency. His publications span conference proceedings, journals, and technical reports, reflecting a strong emphasis on both theoretical foundations and practical tool development.
Stefano M. Nicoletti is a Researcher at the University of Twente, holding dual affiliations with the Digital Society Institute and the Formal Methods and Tools department. His academic profile features an h-index of 31 with 26 documented research outputs spanning from 2020 to projected publications in 2025, demonstrating consistent scholarly productivity in formal methods for cybersecurity. Dr. Nicoletti's research expertise encompasses several critical domains in cybersecurity: Attack tree modeling and ontological frameworks Formal verification of security properties Risk management systems using ontology-based approaches Boolean logic applications in security analysis Quantification of MITRE ATT&CK campaigns Interoperability in security modeling frameworks His recent scholarly trajectory shows increasing focus on applying formal methods to practical security challenges in critical infrastructure, particularly smart grids and aerospace systems. The WATCHDOG framework represents his innovative approach to risk assessment through object-oriented disruption graphs, while his work on ontological lenses for attack trees addresses fundamental issues of adequacy and interoperability in security modeling. Professional recognition includes: Best Paper Award at the 21st International Conference on Software Engineering and Formal Methods (2023) Dr. Nicoletti maintains active collaborations with prominent researchers including M. Stoelinga, G. Guizzardi, and E.M. Hahn. His research bridges theoretical computer science with practical security applications, contributing significantly to both academic knowledge and potential real-world security solutions through datasets like Quantitative Comparisons of MITRE ATT&CK Campaigns and experimental reproduction packages for attack tree analysis.
Dr. Brian Logan is an Associate Professor in the Faculty of Science at Utrecht University, specializing in Computer Science and Intelligent Systems. His research focuses on Multi-Agent Systems, Artificial Intelligence, and formal verification of resource-bounded systems. Key research areas: Agent-Based Simulation, Reinforcement Learning, Temporal Logic, Norm Synthesis, Causal Modeling He has published extensively on intention progression, norm revision, and epidemic simulations, with recent work spanning 2025 to 2020. His articles explore topics like Probabilistic Strategy Logic, Reward Machines, and Behavioral Interventions in Pandemics. Email: b.s.logan@uu.nl , bslogan@uu.nl
Xavier G.L.V. Pouwels serves as Assistant Professor at the Health Technology & Services Research department within the TechMed Centre at the University of Twente. His academic work bridges health economics, medical technology assessment, and open science initiatives, with particular focus on cardiovascular disease modeling and cost-effectiveness analysis frameworks. His research spans Cost-Effectiveness Analysis , Health Care Economics , and Medical Decision Modeling , with significant contributions to cardiovascular interventions, albuminuria screening programs, and open-source health economic modeling tools. His work demonstrates strong integration of probabilistic analysis methods with clinical applications, particularly in cardiology and stroke prevention. Dr. Pouwels has developed influential open-science resources including the Probabilistic Analysis Check dashBOARD (PACBOARD) and educational materials for R programming in Health Technology Assessment. His publication trends show increasing focus on model validation frameworks, open-source economic modeling, and practical implementation of health technology assessment tools in clinical decision-making. h-index 10 (Scopus) 266 Citations (Scopus) His collaborative work includes significant contributions to ISPOR Special Interest Group reports and multi-institutional studies on disease modeling frameworks. Current activities focus on advancing open science practices within health care technology education and developing reusable disease modeling blueprints through expert consensus building. Dr. Pouwels leads the PACBOARD initiative for systematic validation of health economic models and contributes to open science education through Zenodo-hosted resources on R Markdown and open science principles. His work emphasizes transparency, reproducibility, and practical implementation of economic modeling in healthcare decision-making.
Mariëlle I.A. Stoelinga is a Full Professor at Radboud University Nijmegen, affiliated with the Digital Society Institute and the Formal Methods and Tools group. Her work focuses on formal methods, cybersecurity, and safety-critical systems, contributing to UN Sustainable Development Goals related to infrastructure resilience and innovation. Education: Prior academic qualifications include doctoral studies leading to her Prof.dr. title. Her research integrates theoretical foundations of fault and attack trees, model checking, and stochastic modeling, with applications in railways, manufacturing, and smart infrastructure. Research interests include: Fault Tree Analysis (FTA), Attack Tree Modeling, Risk Management, Formal Verification of Cyber-Physical Systems, Railway Industry Standards, and Anomaly Detection in Manufacturing. She has a strong focus on practical applications, such as data-driven maintenance strategies and security protocols for critical infrastructure. Recent work emphasizes modular criticality analysis for dynamic systems, fuzzy logic in cybersecurity, and statistical model checking for reliability-centered maintenance. Her publications reflect interdisciplinary collaboration across computer science, engineering, and legal domains. Scientific Awards: Notable recognitions include the Alice & Eve Award (2024), Best Paper Awards at SEFM (2023) and FORTE (2022), and the Concur Test-of-Time Award (2022). These highlight her contributions to formal methods and security research. Advising & Grants: Supervised 12 students and led projects on topics like railway controller testing and additive manufacturing defect analysis. Active in research networks and conferences, she also engages in public outreach through podcasts on data-driven maintenance innovations. Labs/Teams: Part of the Formal Methods and Tools group at Radboud University, collaborating on projects involving digital society challenges, safety-critical systems, and cyber-physical security.
Ed Brinksma is a Researcher in the Formal Methods and Tools department at the University of Twente. His work focuses on formal methods, model-based testing, process algebra, and real-time systems verification. He has contributed to foundational research in temporal logic, concurrent systems, and formal verification techniques, with over 148 publications. Brinksma has been actively involved in international conferences and workshops, delivering invited talks on topics like model-based testing and verification methodologies. His research collaborations span theoretical advancements and practical applications in embedded systems, safety-critical systems, and industrial software validation. Key research areas include: formal semantics of concurrent systems, automated test generation frameworks (e.g., Torx), and integration of formal methods with real-time systems. He has edited books and special issues on topics like process algebra and stochastic systems modeling. Brinksma's work bridges theoretical computer science with practical engineering challenges, emphasizing rigorous validation approaches for complex systems. He has supervised 18 academic works and participated in 38 professional activities including keynote lectures at major venues. His research network includes collaborations with institutions globally, particularly in Europe, focusing on probabilistic systems modeling and verification challenges.
Milan Abel Lopuhaä-Zwakenberg is an Assistant Professor at the University of Twente, holding dual appointments at the Digital Society Institute and the Formal Methods and Tools research group within the Faculty of Electrical Engineering, Mathematics and Computer Science. His expertise bridges theoretical computer science with practical security applications for critical infrastructure systems. His research focuses on computer security, differential privacy, and formal methods, with specialized work in attack trees, fault trees, and defense trees for modeling security vulnerabilities. He develops quantitative analysis techniques including statistical model checking and integer linear programming to address side channel attacks and risk mitigation in cyber-physical systems. His work demonstrates particular strength in translating formal verification methods into actionable security solutions for smart grids and aerospace systems. Recent publications reveal a clear trajectory toward practical implementation of theoretical security models, with increasing emphasis on real-world case studies in critical infrastructure. His 2024-2025 output shows significant expansion in satellite security applications and gridshield dependencies, while maintaining core contributions to fault tree analysis and differential privacy frameworks. The research consistently integrates quantitative metrics with formal verification to address evolving security challenges. Dr. Lopuhaä-Zwakenberg has received prestigious recognition for his contributions: Best paper award at the 14th International Conference on the Digital Society (2020) Best Paper Award at the 21st International Conference on Software Engineering and Formal Methods (2023) SPIN 2025 Best paper award (2025) As an active researcher within the Formal Methods and Tools group, he collaborates extensively on security analysis projects that combine attack-fault-defense trees with quantitative risk assessment methodologies. His team develops advanced tools for security dependency mapping in critical infrastructure, with current work focusing on satellite mission security and smart grid resilience through the Gridshield framework.
Mark Timmer is an Associate Professor at the University of Twente, affiliated with the ELAN Teacher Development department. He holds a PhD in Efficient Modelling, Generation and Analysis of Markov Automata (2013), an MSc in Science Education and Communication (2011), another MSc in Computer Science (2008), and a BSc in Telematics (2005), all from the University of Twente. His research spans computational thinking in mathematics education, formal methods in computer science, and curriculum development. He has received awards including the IPA Dissertation Award (2013) and Overijssel PhD Award (2014). His work emphasizes integrating computational thinking into secondary education, particularly through algorithmic concepts like Dijkstra’s algorithm and K-means clustering. He also explores formal verification techniques for probabilistic systems, contributing to the analysis of Markov automata. Timmer actively participates in international educational initiatives, such as the ICME-15 congress, and collaborates with educators to improve teaching methods. Publications highlight his dual focus on theoretical computer science (e.g., confluence reduction in Markov models) and practical educational applications (e.g., lesson study implementations). He has authored book reviews and contributed to educational journals, emphasizing pedagogical innovation and critical analysis of teaching materials.
Erik P. de Vink is an Associate Professor at Eindhoven University of Technology (TU/e), Department of Mathematics and Computer Science. He also serves as an Associated Research Fellow at CWI, the Dutch National Research Institute for Mathematics and Computer Science. His research focuses on formal methods, software product lines, dynamic system adaptation, and probabilistic process algebra. He has held roles such as Treasurer of Formal Methods Europe and organized symposia like the International Symposium on Formal Methods (2018). His academic background includes a PhD from VU Amsterdam, a Senior Researcher position at KPN, and prior teaching at Leiden University. Key research interests include formal modeling of software systems using tools like mCRL2 and Prism, analysis of feature-behavior interactions in software product lines, and validation techniques for dynamic system adaptation. He has co-promoted 9 PhD students in areas like denotational semantics, security, and probabilistic process algebra. His work integrates theoretical computer science with practical applications in distributed systems and concurrency. Recent articles explore topics such as formal methods education, bisimulation in polyhedral models, and probabilistic process analysis. He contributes to open-source tool development (e.g., mCRL2) and has published extensively in journals like Formal Aspects of Computing and Journal of Logical and Algebraic Methods in Programming .
Clemens Dubslaff is an Assistant Professor in the Formal System Analysis group at TU Eindhoven (The Netherlands). His research focuses on improving the reliability and explainability of computing systems through formal methods, particularly probabilistic model checking and symbolic techniques. He holds a Ph.D. from TU Dresden (Germany) and has affiliations with TU Dresden's Cluster of Excellence CeTI and Collaborative Research Center CPEC. His work addresses challenges in analyzing complex configurable systems and enhancing system transparency through explainable AI approaches. Education: B.Sc. in Mathematics and Computer Science (TU Dresden) M.Sc. in Computational Logic (NOVA University Lisbon) Ph.D. in Formal Methods (TU Dresden) Research Interests: Formal methods and model checking Symbolic analysis techniques Configurable and reconfigurable systems Explainability in AI and verification Probabilistic systems analysis Recent Achievements: NWO VENI Grant (2023) Launched OxiDD decision diagram framework (2024) Key contributions to feature-based software analysis Labs/Teams: Formal System Analysis group at TU/e, collaborating with Dresden's CeTI and CPEC initiatives.
Jan Friso Groote is a Full Professor and Chair of the Formal System Analysis group in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). He also holds professorial roles in the EAISI Foundational and EAISI High Tech Systems institutes. Since 2016, he has been working part-time at ASML, contributing his expertise in formal verification to industrial applications. Education: Born in 1965, studied Computer Science at Twente University of Technology (now University of Twente), 1983–1988. PhD in 1991 from the University of Amsterdam with thesis 'Process algebra and structured operational semantics', based on research at CWI (Centrum Wiskunde en Informatica). Jan Friso Groote is a leading researcher in formal methods and software verification. His work focuses on enabling the development of flawless software through rigorous formal analysis. Key research areas include structural operational semantics, model checking, branching bisimulation, protocol verification, and the development of the mCRL2 toolset. His current goal is to integrate formal techniques into complete software system design, improving both development speed and quality. His research has demonstrated that formal methods can reduce development time by a factor of three and increase quality tenfold, with potential for zero-defect software. His recent publications demonstrate sustained contributions in formal verification, including work on mutual exclusion algorithms, industrial control system modeling, probabilistic systems, and efficient bisimulation algorithms. The articles span topics such as tunnel control systems, simulation lower bounds, and formal methods for critical systems, reflecting both theoretical depth and practical application. Scientific Awards: Best Paper Award FACS 2018 FMICS-AVoCS Best Paper Award (2017) Jan Friso Groote has held significant leadership roles in education, including Director of Education for Computer Science (2000–2010) and for multiple bachelor’s and master’s programs. He has advised numerous researchers and supervised a large body of research output (over 320 publications). He leads the Formal System Analysis group and has been involved in projects such as 'Composable Embedded Systems for Healthcare'. His work bridges academia and industry, particularly through collaborations with ASML and Rijkswaterstaat, and he has been a visiting researcher at institutions across Europe and China. He is a key contributor to the mCRL2 toolset, which supports modeling and verification of software behavior with data, time, and probabilities. His research fingerprints highlight strong expertise in model checking, transition systems, software design, and process algebra. He teaches courses such as System Validation, Embedded Software, and Capita Selecta in Formal System Analysis.
Joost-Pieter Katoen is a Full Professor at the Digital Society Institute and Formal Methods and Tools department. His research focuses on formal methods, probabilistic systems, and model checking, with applications in automated verification and Markov models. He has been actively involved in international conferences like FM 2023 and has collaborated globally on safety-critical systems analysis. Research Interests: Katoen’s work bridges theoretical foundations with practical tools, including parameter synthesis in probabilistic systems, fault tree analysis, and Bayesian network optimization. His contributions span algorithm design for model checking and probabilistic program verification. Awards: Received the Beste paper award in 2018 for contributions to uncertainty management in probabilistic programming. Advising & Grants: Supervised 10 academic works and contributed datasets for tools like Prophesy and SAFEST. Active in organizing events such as the 2017 Symposium on Model-Ed, Test-Ed, and Trust-Ed.
