جست‌وجوی استاد و پژوهشگر

• Formal Methods
• Temporal Logic
• Automata Theory
• +۵ مورد دیگر

Michele Chiari is a PostDoc Researcher at TU Wien's TrustCPS Group led by Prof. Ezio Bartocci. Previously, he was a PhD candidate and PostDoc at Politecnico di Milano's DEIB in the DeepSE group. His primary affiliations include TU Wien and the TrustCPS group, with a focus on formal verification and cyber-physical systems. Education: PhD candidate and PostDoc at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB). Research interests include formal methods for safety-critical systems, temporal logic, automata theory, model checking for recursive probabilistic programs, infrastructure-as-code modeling (DOML), floating-point computation verification, and approximate computing. Research highlights: Development of POTL (Probabilistic Operator Temporal Logic), model checkers for operator precedence languages (POMC), and contributions to the PIACERE and CORPORA projects. His work bridges theoretical formal methods with practical applications in software engineering and embedded systems. Key projects include leadership of the EU-funded MSCA PF CORPORA project (2023–present) and contributions to the PIACERE H2020 initiative. Collaborations include tools like TAFFO (floating-point precision tuner) and DOML (Infrastructure-as-Code modeling framework). Labs/Teams: Core member of TU Wien's TrustCPS Group and former contributor to Politecnico di Milano's DeepSE Group. Active in conferences like CAV, RV, and CAiSE, with recent service roles on OOPSLA and RV program committees.

Son Hoangمشاهده پروفایل

دانشیار

• Formal Methods
• Autonomous Systems
• Program Semantics
• +۳ مورد دیگر

Dr. Son Hoang is an Associate Professor in the School of Electronics and Computer Science at the University of Southampton, where he leads research in formal methods and autonomous systems. He is a core member of the Cyber-Physical Systems Group and serves as Admissions Tutor for the Aerospace Electronic Engineering program. Hoang holds a first-class honors degree in Computer Engineering (2001) and a PhD (2006) from the University of New South Wales, Australia, where he developed the Probabilistic B-Method and supporting toolkit. His research focuses on formal system development , program semantics , and autonomous systems verification . Current projects include HD-Sec (Holistic Design of Secure Systems on Capability Hardware) and HICLASS (Enabling Development of Complex and Secure Aerospace Systems). His work consistently applies formal methods like Event-B and UML-B to safety-critical domains. Publication analysis reveals Hoang's research centers on formal verification techniques for autonomous and cyber-physical systems, with recent emphasis on: safety-security coengineering, exception handling mechanisms, human intervention modeling in autonomous vehicles, and requirements engineering for critical systems. Awards: Best paper award at ICECCS 2014 Best paper award at iFM 2007 Hoang supervises PhD candidates including Haider Mahmood Al-Shareefy, and mentors undergraduate/master's students in software engineering projects. His grant portfolio includes EPSRC-funded research on secure hardware and aerospace systems. He leads developments in the Rodin formal methods platform and contributes to the university's Event-B @ Soton initiative.

Corina Cirsteaمشاهده پروفایل

دانشیار

• Coalgebra
• Formal Verification
• Logic in Computer Science
• +۳ مورد دیگر

Dr. Corina Cirstea is an Associate Professor in the Agents, Interaction and Complexity research group at the School of Electronics and Computer Science, University of Southampton. Her research focuses on coalgebra, formal verification, logic, and their applications to computer science. She leads the COVER project (funded by the Leverhulme Trust), advancing quantitative verification through coalgebraic foundations. Dr. Cirstea holds a DPhil in Computation from the University of Oxford and a Junior Research Fellowship at St. John’s College, Oxford (1999–2003). Her research interests include coalgebraic logic, probabilistic systems, and automated verification. She has supervised PhD students in areas like formal methods and multiagent systems. Dr. Cirstea actively participates in academic leadership roles, including co-chairing IFIP TC1 WG 1.3 and editorial board membership at Compositionality . Her work bridges theoretical foundations with practical applications in system verification and agent-based systems. Education: DPhil in Computation (University of Oxford, 2000) Projects: COVER (Leverhulme Trust), EPSRC-funded modular verification work, Royal Society-funded temporal logics research Awards: Junior Research Fellowship (St. John’s College, Oxford)

• Computing Education
• Formal Methods
• Markov Models
• +۵ مورد دیگر

Dr. Oana Andrei is a Senior Lecturer in Computing Science at the University of Glasgow, affiliated with the Centre for Computing Science Education , Education and Practice (EAP) section , and Formal Analysis, Theory and Algorithms (FATA) section . She previously served as a Research Fellow under Prof. Muffy Calder on EPSRC-funded projects including S4, Populations, VPS, and SIGNAL. Her research expertise spans 20+ years in Formal Methods for system modeling, including Stochastic process algebra Markov models Probabilistic model checking Graph rewriting systems with interdisciplinary applications in Computational Biology, Human-Computer Interaction, and Socially Responsible Computing. Recent publications focus on software engineering education and algorithmic pedagogy , examining topics like Work-based learning programs Reflective practice frameworks Pair programming methodologies Socially responsible computing integration She contributes to educational innovation through degree-level apprenticeships and serves as Deputy Director of the Graduate Apprenticeship in Software Engineering . Key teaching roles include Course Coordinator for Workplace Assessment modules and Algorithmics instruction. She actively participates in university governance through Equality, Diversity & Inclusion Committee and Senate Student Conduct Committee memberships.

Muffy Calderمشاهده پروفایل

استاد

• Formal Methods
• Digital Twinning
• Responsible AI
• +۳ مورد دیگر

Dame Muffy Calder is Professor of Formal Methods at the University of Glasgow and Senior Visiting Fellow at CETaS. She previously served as Vice-Principal and Head of the College of Science and Engineering (2015-2025). Her research develops computational modeling and automated reasoning for complex systems, with applications in responsible AI, privacy protection, and national security. She pioneers formal methods for verifying autonomous systems and assessing AI impacts on privacy. Honors include Fellowship of Royal Societies, OBE, and membership in advisory bodies like the Prime Minister's Council for Science and Technology. Her work bridges theoretical computer science and societal challenges in digital technologies.

Tevfik Bultanمشاهده پروفایل

استاد

• Security
• Cryptography
• Programming Languages
• +۷ مورد دیگر

Tevfik Bultan is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), part of the College of Engineering. His research focuses on automated verification techniques, software security, and formal methods, with applications to web software, concurrency, and service-oriented systems. He leads the Verification Laboratory, which explores methods for improving software dependability through static analysis, model checking, and symbolic execution. Bultan holds a PhD from the University of Maryland, College Park, and academic degrees from Middle East Technical University and Bilkent University. His honors include the NSF Early Career Award and ACM SIGSOFT Distinguished Paper Award. Bultan has advised numerous PhD, MS, and undergraduate researchers, contributing to advancements in side-channel analysis, quantitative information flow, and vulnerability detection. His work bridges theoretical foundations with practical tools, such as the STASE framework for firmware vulnerability analysis and CanCheck for web application security. Key affiliations include the UCSB Center for CyberSecurity and collaborations with industry and academic partners. Current research trends emphasize neural network verification, scalable quantitative analysis, and automated policy repair for cloud systems. His courses cover topics like automated verification, software engineering, and quantitative information flow, reflecting his commitment to educating future researchers and practitioners in secure software development.

Simos Gerasimouمشاهده پروفایل

مدرس ارشد

• Trustworthy Software
• Autonomous Systems
• Formal Verification
• +۳ مورد دیگر

Dr. Simos Gerasimou is a Senior Lecturer in the Department of Computer Science at the University of York, holding this position since 2023. Previously, he served as a Lecturer (2019–2023) and Research Associate (2016–2019) at the same institution. His research focuses on engineering trustworthy software for autonomous systems, emphasizing rigorous tool-supported approaches through model-based analysis, testing, and formal verification. His work intersects with trustworthy AI, robotics, and software engineering. Dr. Gerasimou holds a PhD in Computer Science (University of York, 2016), an MSc in Software Engineering (University of York, 2011), and a BSc in Computer Science (University of Cyprus, 2010). He is part of the Automated Software Engineering research group , contributing to advancements in safety assurance and formal methods for critical systems. His research interests include ensuring safety and reliability in autonomous systems, with a focus on model-driven approaches for testing and verification. Recent work explores topics such as compositional safety verification, uncertainty quantification in AI systems, and adaptive human-robot collaboration. His publications address challenges in autonomous driving, UAV systems, and stochastic modeling of software behaviors. Dr. Gerasimou’s contributions span both theoretical advancements and applied solutions, bridging gaps between formal methods and real-world engineering challenges. He emphasizes the importance of rigorous methodologies to address safety and dependability in next-generation autonomous technologies.

• Cybersecurity
• Automotive Systems
• Formal Methods
• +۴ مورد دیگر

Dr Hoang Nga Nguyen is an Associate Professor in Cyber Security at Swansea University, UK. Affiliated with the School of Mathematics and Computer Science, his work focuses on cybersecurity for automotive and autonomous systems, formal verification, and embedded systems security. He leads research projects funded by EPSRC, RSSB, InnovateUK, and Digital Catapult, including AutoCHERI (2022-2024) and QRNG for CAV . Current research agenda: Cybersecurity in automotive systems Specialization: Model-based and simulation-based verification techniques Projects: VRBMAS, ACID, Ditto, Secure CAV His research contributions span: Cybersecurity frameworks for automotive systems Formal methods in railway safety Embedded systems threat landscapes Resource-bounded agent logic Android app collusion detection Scientific Awards and honors: None explicitly mentioned in the provided text. As a supervisor , he guides PhD students in topics like: Addressing Automotive User-Centric Privacy and Security Model-Based Security Testing Approaches for Hardware Security He also teaches modules including Software Security Engineering (CS-239) and Embedded Systems Security (CSCM68, CSCM868) . Nguyen works at the Computational Foundry on Bay Campus, Swansea, contributing to the Verification & Validation of Autonomous Systems network and the European Technical Working Group on Formal Methods in Railway Control.

Marta Kwiatkowskaمشاهده پروفایل

استاد

• Automated Verification
• Probabilistic Model Checking
• Temporal Logics
• +۴ مورد دیگر

Marta Kwiatkowska is a Professor of Computing Systems and Fellow of Trinity College at the University of Oxford . She has held academic positions at the University of Birmingham (School of Computer Science), University of Leicester, and Jagiellonian University in Poland. Her expertise lies in probabilistic and quantitative verification methods, with contributions to the PRISM model checker and applications in systems biology, communication protocols, and nanotechnology. Education: BSc/MSc in Computer Science, Jagiellonian University MA from Oxford PhD in Computer Science from the University of Leicester Research Interests: Probabilistic model checking, formal verification of complex systems, temporal logics, and interdisciplinary applications in biology and ubiquitous computing. Her work emphasizes bridging theoretical foundations with practical tools like PRISM, widely used in academia and industry. Awards: Fellowships from Royal Society, ACM, EATCS, BCS, and Polish Society of Arts & Sciences. ERC Advanced Grant (VERIWARE, £3.7m funding). Top Cited Article Award (2010) and Best Paper Award (QEST 2006). Grants & Leadership: Leads £3.7m grant-funded research on system verification. Serves on editorial boards of IEEE Transactions on Software Engineering and Royal Society's Philosophical Transactions A. Organized conferences such as QEST and the Royal Society Discussion Meeting on ubiquitous computing. Labs/Teams: Principal contributor to the PRISM model checker project, a cornerstone of probabilistic verification research.

Tobias Johnمشاهده پروفایل

پژوهشگر

• Knowledge Representation
• Automated Planning
• Formal Methods
• +۷ مورد دیگر

Tobias John is a Doctoral Research Fellow in the Department of Informatics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is a member of the Reliable Systems and Data and Knowledge Management (DKM) research groups, and his work is supported by the EU REMARO project. His research focuses on enhancing the robustness of controllers that interact with evolving knowledge bases, particularly OWL ontologies, using formal logic and automated planning techniques. University: University of Oslo School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Research Groups: Reliable Systems, Data and Knowledge Management (DKM) Project: REMARO (EU-funded) His research interests center on knowledge representation, automated planning, formal methods, and logic in computer science. He investigates how ontologies can be integrated into planning systems to improve reasoning under uncertainty and ensure reliable behavior in dynamic environments. His work bridges theoretical computer science with practical applications in robotics and software reliability. The recent publications of Tobias John reflect a strong trend in combining ontology-based reasoning with robust planning and testing methodologies. His work spans from theoretical automata transformations to applied risk-aware planning for marine robots and mutation-based testing of knowledge graph applications. The dominant themes include ontology-mediated planning, logic-based validation, and reliability engineering in AI systems. He has not received any explicitly mentioned scientific awards. Tobias John is actively engaged in research but there is no indication of advising students or managing grants independently. His contributions are primarily through collaborative research within the REMARO project and his publications with senior researchers such as Einar Broch Johnsen, Eduard Kamburjan, and Patrick Koopmann. He is part of the Reliable Systems and Data and Knowledge Management (DKM) research groups at the University of Oslo, which focus on dependable computing, knowledge engineering, and formal verification of complex systems.

Clemens Dubslaffمشاهده پروفایل

استادیار

• Formal Methods
• Probabilistic Model Checking
• Symbolic Methods
• +۴ مورد دیگر

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.

• Software engineering for decentralized systems
• Multi-agent systems
• Autonomic computing
• +۳ مورد دیگر

Tom Holvoet is a Full Professor at the Department of Computer Science , KU Leuven , affiliated with the Faculty of Engineering Science and the research groups Distributed and Secure Software (DistriNet) and Leuven.AI . Research focuses on decentralized systems , multi-agent systems , and autonomic computing . Currently supervising PhD and master's projects on blockchain vulnerabilities , autonomous decision-making , and embedded systems resilience . Teaching courses: Software Design , Programming Principles , and Distributed Systems . His work involves collaborations with international institutions and grants from the FWO (Fonds Wetenschappelijk Onderzoek) .

Sourav Chakrabortyمشاهده پروفایل

استاد

• Theoretical Computer Science
• Boolean Functions
• Quantum Complexity
• +۴ مورد دیگر

Sourav Chakraborty is a Professor in the Advanced Computing and Microelectronics Unit (ACMU) of the Computer and Communication Sciences Division at the Indian Statistical Institute (ISI), Kolkata, India. He joined ISI in July 2018 after serving as faculty at Chennai Mathematical Institute from 2010-2018. Previously, he held postdoctoral positions at Centrum Wiskunde & Informatica (CWI) in Amsterdam and Technion in Israel. Education: Ph.D. in Computer Science, University of Chicago (2008) M.S. in Computer Science, University of Chicago (2005) B.Sc. in Mathematics, Chennai Mathematical Institute (2003) Research Focus: Professor Chakraborty specializes in Theoretical Computer Science with emphasis on classical and quantum complexity of Boolean functions, including sensitivity analysis, property testing, and quantum database search. His work extends to graph algorithms, electronic commerce mechanisms, and coding theory. His research explores fundamental questions in computational complexity through innovative mathematical frameworks. Publication Trends: Recent work demonstrates a strong focus on property testing, sampling algorithms, and complexity theory, with significant contributions to streaming algorithms, Boolean function analysis, and quantum query complexity. His publications frequently appear in top theoretical computer science venues and exhibit consistent innovation in algorithm design and complexity boundaries. Awards & Honors: Praise from Donald E. Knuth for streaming algorithms research Inclusion in Oded Goldreich's 'my choices' list for Conditional Sampling and Huge-Object Model work Chakraborty's function named in his honor for Sensitivity Conjecture contributions Academic Service: Teaches courses in discrete mathematics and theoretical computer science, with detailed course materials available through institutional pages. Organized workshops including the 2020 Workshop on Sensitivity and Query Complexity at ISI.

Alexandra Silvaمشاهده پروفایل

استاد

• Computer Science
• Kleene Algebra with Tests
• Coalgebra
• +۴ مورد دیگر

Alexandra Silva is a Professor of Computer Science at Cornell University, with a research group partially based at University College London (UCL) where she previously held a Royal Society Wolfson Fellowship. She is deeply involved in academic leadership, serving on program committees for conferences like ECOOP and POPL, and organizing workshops at venues such as VMCAI and PLDI. Her research spans formal methods, probabilistic programming, and coalgebraic modeling, with applications in network verification and concurrent systems. Key Research Themes: Kleene Algebra with Tests (KAT), coalgebraic semantics, probabilistic program verification, network control plane analysis, and categorical approaches to formal methods. Collaborations: Active collaborations with institutions including Cornell, UCL, University of Leicester, and INRIA Rhone-Alpes. Scientific Awards: Distinguished Paper Award at POPL 2020 Advising: Currently advising eight PhD students, including Tiago Ferreira and Noam Zilberstein, with a broader team of postdocs, alumni, and collaborators.

Kristóf Marussyمشاهده پروفایل

استادیار

• Model-Driven Engineering
• Dependability Analysis
• Logic Solvers
• +۶ مورد دیگر

Kristóf Marussy is an Assistant Professor at the Department of Artificial Intelligence and Systems Engineering , Budapest University of Technology and Economics , Hungary. His work bridges model-driven engineering with dependability analysis and logic solvers , focusing on critical cyber-physical systems in railway, automotive, and aerospace domains. Assistant Professor (2025–) Research Fellow (2023–2024), Assistant Research Fellow (2020–2023) Contributor to Refinery (graph solver for model generation) and Ferdium (open-source messaging suite) Research Interests center on: Formal Verification of critical system designs Automated Reasoning via logic/numerical solvers Graph Generation for testing data-driven systems AI Integration in system modeling Recent Publications demonstrate expertise in: Graph solver infrastructure (Refinery framework) Cyber-physical system architecture synthesis Formal methods for API key security (PKCE workflow) Constraint optimization in model generation Probabilistic analysis for system reliability Awards & Scholarships : 2024 EKÖP Postdoc Fellowship 2023 ÚNKP Researcher Prize 2023 Josef Heim Award for innovation 2021 OOPSLA Artifact Reviewer Recognition Academic Service includes committee roles at OOPSLA 2025, LLM4MDE 2024, ECOOP 2023, and FASE 2025. He actively mentors 7 BSc and 5 MSc students while contributing to European Space Agency's VAMPIR project on AI-enhanced positioning systems.