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Christoph HaaseView profile

Associate Professor

• Algorithmic Verification
• Automated Reasoning
• Automata Theory
• +5 more

Christoph Haase is an Associate Professor at the Department of Computer Science, University of Oxford, and a Fellow of St Catherine’s College. His research focuses on developing rigorous mathematical methods for algorithmic verification, automated reasoning, automata theory, and logic in computer science. University of Oxford, UK (Current) University College London, UK (Former) ENS Paris-Saclay, France (Former) Microsoft Research Cambridge, UK (Former) His work includes fundamental contributions to decision procedures for arithmetic theories, particularly in Presburger and Büchi arithmetic, and applications to verification of software and hardware systems. He leads the ARiAT project, funded by an ERC Starting Grant (2020–2025), aiming to advance quantifier elimination and complexity bounds for arithmetic theories. Key publication trends include verification , automata theory , arithmetic logic , computational complexity , and automated reasoning . Collaborations span institutions like University of Paris, UCL, and Microsoft Research. Scientific Awards : ERC Starting Grant (2019) EPSRC Doctoral Prize (during DPhil studies) He has supervised PhD and MEng projects on topics such as SAT solving, linear arithmetic, and matrix semigroups, often co-supervising with researchers like Stefan Kiefer and James Worrell. Teaching includes Logic and Proof at Oxford and Operating Systems at ENS Paris-Saclay.

Giorgio BacciView profile

Associate Professor

• Behavioural Metrics
• Model Synthesis and Automata Learning
• Analysis and Verification of Cyber-Physical Systems
• +3 more

Giorgio Bacci is an Associate Professor at the Department of Computer Science , Aalborg University , Denmark. He is a member of the Distributed, Embedded, and Intelligent Systems (DEIS) research group led by Prof. Kim G. Larsen. He earned his Ph.D. in Computer Science from the University of Udine (2013) under Prof. Marino Miculan, following M.Sc. and B.Sc. degrees in Computer Science from the same university (2008 and 2005, both 110/110 cum laude ). Research Interests include: Behavioural Metrics : Quantitative methods for system equivalence and approximation. Model Synthesis and Automata Learning : Automated construction of models for probabilistic/stochastic systems. Analysis of Cyber-Physical Systems : Formal verification techniques for real-time and hybrid systems. Process Algebras : Nondeterministic, probabilistic, and stochastic process calculi. Semantics of Programming Languages : Formal models for probabilistic and concurrent computation. Scientific Service includes roles as PC member for LICS 2025 , ICALP 2025 , and co-chair for EXPRESS/SOS 2025 and GandALF 2025 . He has contributed to 35 publications in areas like probabilistic automata , Markov processes , and bigraphical models , with a focus on computational complexity and behavioral distances . Awards include: Teacher of the Year 2022/2023 (Department of Computer Science, Aalborg University) Best Paper Award at CALCO 2021 .

• Formal Methods
• Dynamic Logics
• Cyber-Physical Systems
• +4 more

Alexandre Madeira is an Associate Professor in the Mathematics Department at the University of Aveiro (Portugal), affiliated with CIDMA and collaborating with HASLab-INESC TEC. He holds a PhD in Computer Science from the University of Minho, awarded the Portuguese IBM Scientific Prize 2013. His research focuses on formal methods, dynamic logics, algebraic specifications, and cyber-physical systems. **Education**: PhD in Computer Science (University of Minho, 2013), MSc in Mathematics (University of Aveiro, 200?), and a degree in Applied Mathematics and Computation (University of Aveiro). **Research Interests**: Formal specification of software, combination of logics, modal/hybrid/dynamic logics, algebraic specification, and applications to quantum programming and cyber-physical systems. Projects include DaLí, Ibex, and Klee. **Awards**: Portuguese IBM Scientific Prize 2013. **Editorial Roles**: Editor for journals and conferences such as *Journal of Logical and Algebraic Methods in Programming* and *SEFM 2024*. **Teaching**: Coordinates courses like Elements of Logic, Computational Logic, and Analysis and Development of Algorithms at the University of Aveiro. Also teaches at the University of Minho on topics like Quantum Computing and Algebraic Logic. **Supervision**: Supervises PhD and MSc students in formal methods, paraconsistent systems, and quantum logics. Notable advisees include Juliana Cunha and Leandro Gomes.

Rolf HennickerView profile

Associate Professor

• Formal Methods of Software Development
• Component-based Software Development
• Object-oriented Software Engineering
• +2 more

Prof. Dr. Rolf Hennicker is an Associate Professor and Academic Director at the Department of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich). He leads the Software and Computational Systems Lab, focusing on formal methods, component-based software engineering, and environmental simulation systems. His research emphasizes system specifications, concurrency, and dynamic logics for verifying complex systems. He actively supervises academic activities, including lectures, seminars, and diploma theses. As project leader of GLOWA-Danube and RAJA , he develops decision support systems and authorization frameworks. Collaborations include the École Normale Supérieure de Cachan (France) on ensemble modeling and verification. His work spans theoretical contributions to formal methods and practical applications in distributed systems, environmental modeling, and autonomous computing. Recent projects involve ensemble architectures and Helena frameworks for autonomic cloud systems.

Torbjørn CunisView profile

Assistant Professor

• Nonlinear Systems Theory
• Mathematical Optimization
• Optimization-Based Control
• +3 more

Torbjørn Cunis is a Temporary Academic Councillor / Group Leader at the Institute of Flight Mechanics and Flight Control of the University of Stuttgart. He concurrently serves as an Adjunct Assistant Research Scientist at the University of Michigan and is a member of the Young ZiF at Bielefeld University's Center for Interdisciplinary Research. His expertise lies in nonlinear systems theory, mathematical optimization, and aerospace engineering applications. Education : B.Sc. Computer Science (2013) & Aerospace Computer Engineering (2014), University of Würzburg M.Sc. Automation Engineering (2016), RWTH Aachen University Ph.D. in Systems & Control (2019), ISAE-Supaéro, Toulouse Research Interests focus on optimization-based control strategies, nonlinear system analysis, and their application to aerospace systems. Key areas include upset recovery in aircraft, model-predictive control, and sum-of-squares optimization techniques. His work bridges theoretical systems theory with practical implementations in unmanned aerial systems and flight dynamics. Teaching includes courses on multi-variable control, nonlinear optimization, and systems-theoretical methods for flight control. Professional Affiliations include AIAA, IEEE, and VDI. Research Contributions span over 50 publications, with recent trends emphasizing real-time control algorithms, stability analysis of optimization methods, and cooperative target allocation in aerospace systems. His work often integrates multidisciplinary approaches to solve complex control challenges in aviation and robotics. Lab Affiliations include the Vehicle Optimization Lab (University of Michigan), Automation & Control Group (Aalborg University), and Micro Air Vehicle Lab (Delft University of Technology).

• Formal Verification
• Parallel and Distributed Systems
• GPU Programming
• +4 more

GANESH GOPALAKRISHNAN is a Professor of Computer Science at the University of Utah's School of Computing. His work focuses on formal verification of parallel/distributed systems, GPU programming, and numerical error analysis. He has contributed to tools like ISP for MPI verification, ARCHER for OpenMP race detection, and FLiT for floating-point consistency testing. His research spans theoretical foundations (e.g., concurrency models) and practical applications (e.g., GPU error analysis). Recent work includes advancing formal methods for mixed-precision computing and resilience in exascale systems. Notable projects include rigorous error estimation for floating-point operations and compiler-assisted verification techniques. Research Interests: Formal Verification of Parallel Systems | GPU & HPC Correctness | Floating-Point Numerical Analysis | Concurrency Bugs | Tools for Distributed Systems. Current work emphasizes hybrid approaches combining formal methods with dynamic analysis to address emerging challenges in heterogeneous computing architectures. Articles Trends: Recent publications (2020–2025) emphasize GPU verification (data races, error analysis), mixed-precision computing (matrix operations, tensor cores), and resilience in HPC systems. Tools like FPDetect and BinFPE highlight practical contributions to error detection in production runs. Workshops (DOE/NSF) indicate leadership in defining correctness strategies for exascale computing. Labs/Teams: Leads research groups focused on formal methods for parallel computing and numerical system reliability. Collaborations include Argonne National Lab, NVIDIA, and LLNL on verification tools and HPC correctness frameworks.

Farhad ArbabView profile

Researcher

• Computer Science
• Cyber-Physical Systems
• Formal Methods
• +4 more

Farhad Arbab is a researcher at the Centrum Wiskunde & Informatica (CWI) in Amsterdam, Netherlands, affiliated with the Computer Security department. His work focuses on formal methods for modeling and analyzing cyber-physical systems (CPS) and coordination models. Current affiliation: Researcher at CWI's Computer Security department Research areas: Cyber-Physical Systems, Formal Methods, Workflow Modeling, Constraint Automata Arbab's research develops component-based semantic models for CPS using constraint automata and the Reo coordination language. His framework enables: Algebraic composition of cyber-physical components Formal modeling of priority constraints in workflows Runtime composition with lazy expansion techniques Verification via Maude rewriting logic system Recent publications analyze: Parallel composition of constraint automata (2025) Concurrency in rule-based machines (2025) Runtime composition techniques (2023) Formal frameworks for distributed CPS (2022) Awards & Projects: FACS Best Paper Award (2015) Bronzen Achievement Award (2009) EU/NWO-funded initiatives: COMPAS (2008), WoMaLaPaDiA (2007), CREDO (2006)

• Numerical Analysis
• High-Performance Computing
• Computational Mathematics
• +4 more

Maciej Woźniak serves as a university professor at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, actively contributing to research and teaching staff while participating in the Computer Science Discipline Council and College of the Faculty. His office is located at D-17, ul. Kawiory 21, III, 4.58, with primary contact via macwozni@agh.edu.pl. His research spans computational mathematics and high-performance computing, specializing in parallel algorithms for numerical simulations including isogeometric analysis, finite element methods, and multi-frontal solvers. Key applications address environmental challenges like hail suppression and urban smog reduction, alongside biomedical modeling of tumor growth and airborne pathogen dispersion. Methodological innovations focus on GPU acceleration, shared-memory architectures, and efficient integration techniques for partial differential equations. Analysis of his 2019-2024 publications reveals consistent advancement in parallel computational frameworks for environmental and biomedical applications, demonstrating interdisciplinary impact through experimental validation of hail cannons, smog reduction technologies, and pathogen dispersion modeling during the COVID-19 pandemic. His work bridges theoretical algorithm development with real-world problem solving across physics, engineering, and life sciences. Scientific Awards: No specific awards were documented in the provided sources. Student advising, research grants, laboratory affiliations, and educational background details beyond his PhD, DSc, and Eng. titles remain unspecified in the available materials, though his extensive publication record suggests active mentorship and collaborative research leadership.

• Process Mining
• Process Modelling
• Conceptual Modelling
• +5 more

Jan Martijn van der Werf serves as Associate Professor in Process Science at Utrecht University's Faculty of Science, Department of Information and Computer Science. Since September 2022, he has held the position of Programme Director for the Bachelor Information Sciences, overseeing curriculum development and academic operations for both Business Informatics and Information Sciences programs. Education: Dual PhD in Computer Science from Eindhoven University of Technology and Humboldt Universität zu Berlin (Thesis: 'Compositional Design and Verification of Component-based Information Systems') Research Focus: Van der Werf's work centers on process mining and behavioral modeling in software architectures, with emphasis on the interplay between data and processes. His expertise spans Conceptual Modelling of Information Systems , Enterprise Architecture , and Service-Oriented Architecture , addressing challenges in process discovery, verification, and practical implementation within complex organizational contexts. Current research explores the human dimensions of process mining adoption and AI-driven event log extraction. Publication Trends: Recent work (2023-2024) reveals increasing focus on methodological rigor in process discovery, human factors in process mining initiatives, and formal verification techniques for Petri nets. His publications bridge theoretical foundations with practical applications, particularly in event log extraction using large language models and visualization of complex process chronologies from heterogeneous data sources. Academic Contributions: Van der Werf teaches core courses in Process Modelling and Software Architecture , actively participates in academic workshops (including the 2020 'Information System Modeling' workshop), and supervises graduate research. His Scopus profile indicates 77 research outputs and supervision of 3 students, reflecting sustained scholarly engagement in process science and information systems.

• Security
• Theoretical Computer Science
• Formal Methods
• +7 more

Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.

• Formal Methods
• Functional Languages
• Unifying Theories of Programming
• +5 more

Dr. Andrew Butterfield is a Professor in the School of Computer Science and Statistics at Trinity College Dublin. He serves as Head of the Foundations and Methods Group and is actively involved with Lero: the Irish Software Research Centre. His academic work spans formal methods, functional programming, and theoretical computer science with applications in safety-critical systems. Butterfield's research primarily focuses on the Unifying Theories of Programming (UTP) paradigm, with specializations in shared-variable concurrency, formal verification of medical device software, and spacecraft operating systems. His work explores composition and local denotational semantics for concurrency, UTP theories for rely/guarantee reasoning, and implementations of proof assistance tools written in Haskell. Current projects include RTEMS-SMP (formal verification of multicore real-time scheduling funded by ESA) and FMHIDA (formal techniques for medical device software development funded by SFI through Lero). His recent publications reveal a strong emphasis on applying formal methods to real-world problems, with particular attention to concurrency models, medical systems verification, and tool development for UTP. The research shows consistent progression from theoretical foundations toward practical applications in safety-critical domains. Butterfield has developed several Haskell-based tools including the Theorem Proving Assistant for UTP, UTP Calculator, and Equational Reasoning Support. He has served on numerous program committees including TASE 2019, IWFM, FMICS, and FM, and is on the Editorial Board of Formal Aspects of Computing. He teaches courses including CS3016: Introduction to Functional Programming and CS2016/3D4 Concurrency and Operating Systems. Previously, he has taught Formal Methods, Functional Programming, Concurrency Theory, and various other computer science subjects. He also serves as School Disability Liaison Officer and Course Director for Creative and Cultural Entrepreneurship. Butterfield leads the Foundations & Methods Group at Trinity and has been involved in significant research projects including Formalising Interfaces between Software and Hardware (FISH) funded by SFI, Unifying Synchronous Systems, and ESA-funded activities on OS kernel formal verification. His work with the Irish School of VDM has produced LaTeX macros and Haskell implementations for formal method applications.

Swarnendu BiswasView profile

Assistant Professor

• Programming Languages
• Compilers
• Runtime Systems
• +7 more

Swarnendu Biswas is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur. He teaches courses including Programming for Performance (CS 610), Analysis of Concurrent Programs (CS 636), and Compiler Design (CS 335), demonstrating his expertise across multiple areas of computer systems. His research interests center on Programming Languages, Compilers, Runtime Systems, and Parallel Software Systems. He leads the PROSPAR (Programming Languages and PARallel Systems) research group, which focuses on developing techniques to build efficient and correct parallel software through program analysis, compiler optimizations, and runtime systems. His recent publications reveal a strong trend in addressing fundamental challenges in parallel computing, with work spanning cache coherence, false sharing detection, data race analysis for GPUs, verification of neural networks, and thermal-aware management of heterogeneous systems. His research bridges theory and practice with significant contributions to both hardware and software aspects of parallel systems. His scientific achievements have been recognized through multiple prestigious awards: Google India Research Award 2021 Google Explore CSR 2022 Research Grant from Intel Corporation SERB Start-up Research Grant 2019 Google Cloud Platform Research Credits (2019, 2020) IITK Initiation Grant 2019 As an advisor, he mentors several PhD and MTech students working on cutting-edge research in parallel systems. His PROSPAR group has secured significant funding from industry and government sources, supporting innovative research in programming languages and parallel systems. The group actively collaborates with industry partners including Google and Intel, addressing real-world challenges in parallel computing. He leads the PROSPAR research group at IIT Kanpur, which brings together faculty, PhD students, and MTech researchers to tackle challenging problems at the intersection of programming languages, compilers, and parallel systems. The group maintains strong industry connections and focuses on practical solutions that can be deployed in real systems.

Mikael Vejdemo-JohanssonView profile

Associate Professor

• Topological Data Analysis
• Applied Category Theory
• Algebraic Topology
• +5 more

Mikael Vejdemo-Johansson is an Associate Professor of Data Science and Mathematics at the Department of Mathematics, CUNY College of Staten Island, with concurrent roles as Executive Officer of Computer Science and Director of Data Science at the CUNY Graduate Center. His work bridges applied algebraic topology, computational mathematics, and data science, with a focus on topological data analysis (TDA) and its applications to diverse domains. He has contributed extensively to software development in TDA, notably creating JavaPlex, and has co-authored foundational work on persistent homology, cohomology, and the Mapper algorithm. His research explores topological modeling of political data, motion capture, and biomedical applications, while advocating for mental health awareness in academia through initiatives like the Depressed Academics blog. His recent publications emphasize persistent cohomology, error classification in predictive models, and distributed algorithms for evasion problems. He mentors graduate students in computational topology, machine learning, and data science, and his artistic endeavors include mathematical art exhibitions at major conferences like the Bridges Mathematical Art Conference.

• Quantum computation
• Quantum information, computation and communication

Professor Zhengfeng Ji is an Adjunct Professor at the Centre for Quantum Software and Information within the Faculty of Engineering and Information Technology at the University of Technology Sydney. His research focuses on quantum computation, quantum information theory, and quantum communication. Quantum complexity theory Quantum algorithms Quantum network optimization Entanglement characterization Recent publications highlight advancements in quantum network routing frameworks and quantum proof systems. He has secured multiple grants including the Sydney Quantum Academy Postdoctoral Fellowship and ARC Discovery Projects. Quantum Exponential Time Hypothesis Quantum PCP Conjecture Post-quantum Cryptographic Protocols Scientific awards include: SQA Scholarship Sydney Quantum Academy Postdoctoral Fellowship SUSTech Scholarship

Xiaokang QiuView profile

Associate Professor

• Programming Languages
• Software Engineering
• Program Verification
• +6 more

Xiaokang Qiu is an Associate Professor at the Elmore Family School of Electrical and Computer Engineering , Purdue University , with a Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (2013). His research focuses on Programming Languages and Software Engineering , particularly theories, algorithms, and tools for program synthesis, verification, and logic-based analysis. Research Interests His work addresses: Formal methods for heap-manipulating programs using separation logic Automated deduction and decision procedures for data structures Syntax-guided synthesis of concurrent and bit-vector programs Integration of machine learning with formal verification Scalable verification of hardware memory consistency Network protocol optimization through program synthesis Recent Publications Recent work includes PLDI 2025 on concurrent string synthesis, POPL 2024 on bit-vector synthesis, and POPL 2023 on comparative network design. His tools like STRAND and VCDryad enable automated verification of complex data-structure manipulations. Grants & Awards Recipient of: NSF SHF Small Award (2024, co-PI, $593K) NSF FMitF Award (2023, PI, $750K) Tenure at Purdue (2023) Professional Service Active in program committees for PLDI , POPL , CAV , and ATVA conferences. Developed tools like DryadSynth (PLDI 2020), ImpSynt (OOPSLA 2017), and JSketch (ESEC/FSE 2015).