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Deian StefanView profile

Associate Professor

• security
• programming languages
• systems
• +7 more

Deian Stefan is an Associate Professor at the University of California San Diego (UCSD) in the Department of Computer Science and Engineering . His research spans security , programming languages , and systems , with a focus on building principled and practical secure systems. He has served as a co-founder and Chief Scientist at Intrinsic (acquired by VMWare) and contributed to standards bodies like the W3C WebAppSec and Node.js Security Working Groups . His research interests include: Secure Systems : Web frameworks, browser designs, sandboxing, runtime systems Language-Based Security : Constant-time programming, memory safety, information flow control Verification : Security verification, static/symbolic analysis tools WebAssembly and JavaScript JITs security Deian Stefan has received multiple scientific awards , including several Distinguished Paper Awards at venues like POPL, ICFP, and USENIX Security, as well as the IEEE Cybersecurity Award for Practice (2022) and CSAW 2020 First Place for Applied Research. He has taught courses on Computer Security (CSE 127, CSE 227) and advanced topics in Building Secure Systems (CSE 291) using Rust, WebAssembly, and blockchain security. His work has been supported by collaborations with industry and academia, including projects like RLBox and COWL .

Joseph EremondiView profile

Assistant Professor

• Programming Languages
• Type Theory
• Dependent Types
• +12 more

Joseph Eremondi is an Assistant Professor in the Department of Computer Science at the University of Regina, Faculty of Science, Canada. He began his tenure in 2024 after serving as a Royal Society Newton International Fellow at the University of Edinburgh, where he conducted postdoctoral research with Ohad Kammar in the Laboratory for Foundations of Computer Science. He earned his PhD from the University of British Columbia (UBC) under the supervision of Ron Garcia at the UBC Software Practices Laboratory. His research is centered on programming languages theory, with a strong focus on type systems that enhance software reliability and usability. He is particularly known for his work in dependent types, gradual typing, and the integration of both paradigms. His research interests include: Dependent pattern matching and its semantic foundations Gradual dependent types and approximate normalization Error message generation and usability in dependently typed languages Static analysis using set constraints and SMT solvers Theoretical properties of reversal-bounded counter automata and shuffle operations His recent publications, appearing in premier venues like POPL, ICFP, and CPP, reflect a consistent trajectory toward making advanced type systems more accessible and practical. Key themes include coverage semantics for dependent pattern matching, formal models of gradual dependent typing, and improving the developer experience through better tooling and error diagnostics. Notable scientific recognitions include the NSERC Discovery Grant (awarded in 2025) and the prestigious Royal Society Newton International Fellowship. These awards underscore the impact and promise of his research program on the usability of dependently typed programming languages. Joseph is actively mentoring and recruiting graduate students, particularly in areas such as dependently typed programming (Lean, Agda, Idris, Coq), gradual typing, live programming environments, and static analysis. He emphasizes close collaboration within a small, focused research group. He has also served on program committees, including for TyDe and POPL Artifact Evaluation, demonstrating active engagement in the programming languages community. His work bridges theoretical rigor with practical implementation, evident in his artifact releases on GitHub and integration with tools like Ott and DrRacket. He maintains a personal website and open-source repositories that support reproducibility and community involvement.

Daniel VarroView profile

Professor

• Model-Based Systems Engineering
• Cyber-Physical Systems
• Software Engineering
• +12 more

Daniel Varro is a Professor affiliated with McGill University (Faculty of Engineering, School of Computer Science), with strong ties to Budapest University of Technology and Economics and Linköping University. He is a leading researcher in model-driven engineering, cyber-physical systems, and software engineering, actively contributing to top-tier conferences such as MODELS, ICSE, and ASE. His research focuses on model-based systems engineering (MBSE) , automated model generation , model transformations , and constraint-based consistency checking . Recently, his work has expanded into integrating large language models (LLMs) and machine learning into modeling workflows, including model querying, domain modeling, and bug detection. The recent publications reveal a strong trend toward AI-augmented modeling, logic-based solvers (e.g., Refinery), and safety assurance of autonomous systems (e.g., COLREGs compliance). His work bridges formal methods with practical software engineering challenges in industrial and safety-critical domains. Scientific Awards: No specific awards mentioned in the text. Advising and Grants: While no explicit list of students or grants is provided, his mentorship in the Doctoral Symposium and repeated leadership roles suggest active supervision and likely grant funding. He has led projects on automated model generation, model quality, and AI integration in modeling. Labs and Teams: Daniel Varro is associated with research groups focused on model-driven engineering and software evolution, likely leading or co-leading teams working on the VIATRA and Refinery frameworks for model transformation and solving.

• Static Program Analysis
• Abstract Interpretation
• Programming Languages
• +3 more

Caterina Urban is a Research Scientist (Chargé de Recherche) at INRIA and École Normale Supérieure (ENS) in Paris, France. She is a member of the INRIA research team ANTIQUE (ANalyse StaTIQUE), where she focuses on formal methods and static analysis. Prior to her current position, she was a postdoctoral researcher at the Chair of Programming Methodology, led by Peter Müller at ETH Zurich. Dr. Urban holds a PhD in Computer Science (2015) from École Normale Supérieure, Paris, where she worked under the joint supervision of Radhia Cousot and Antoine Miné. She also earned a Master's degree (2011) and Bachelor's degree (2009) in Computer Science, both with full marks and honors (summa cum laude) from the Università degli Studi di Udine, Italy. Her research interests span the whole spectrum of formal methods with a focus on developing rigorous methods and tools to enhance the reliability of computer software, particularly data science applications. Her main area of expertise is static analysis based on abstract interpretation. Dr. Urban is currently engaged in several research projects including Lyra (focusing on data science software), Libra (fairness certification for neural networks), and SAIF (addressing safety concerns in machine learning-based systems). Dr. Urban's recent publications demonstrate her expertise in applying abstract interpretation to diverse areas including machine learning, data science, program verification, and security. Her work bridges theoretical foundations with practical applications, particularly in ensuring the reliability and trustworthiness of increasingly critical data science and machine learning systems. She has received recognition for her work through invitations to serve on program committees for major conferences including OOPSLA 2026, PLDI 2026, and CAV 2026. She is also the general chair of iFM 2025 in Paris. Dr. Urban actively mentors the next generation of researchers, supervising PhD students and postdoctoral researchers. She teaches courses on abstract interpretation and its applications at the Master Parisien de Recherche en Informatique (MPRI) and various international summer schools. She has developed several open-source software tools including Lyra (a static analyzer for data science applications), Libra (for fairness certification of neural networks), and Typpete (SMT-based static type inference for Python).

Limin JiaView profile

Research Professor

• Security
• Programming Languages
• Formal Verification
• +3 more

Limin Jia is a Research Professor in the Electrical and Computer Engineering (ECE) department at Carnegie Mellon University, with a courtesy appointment in the Computer Science Department (CSD). Affiliated with CyLab, their work focuses on applying formal techniques to enhance software security through programming language design, formal verification, and information flow analysis. Research interests span Security Programming Languages Formal Verification Information Flow Control Intermittent Computing Rust Programming . Recent publications integrate formal methods with practical security challenges, including Node.js vulnerability detection Rust API testing Secure multi-execution Intermittent computing type systems IFTTT security analysis Browser security frameworks . Limin serves on program committees for conferences like POPL, PLDI, VMCAI, and is actively involved in teaching courses such as Browser Security (18-636) Introduction to Information Security (18-631) .

• Formal Verification
• Software Testing
• Programming Languages
• +12 more

Alastair F. Donaldson is a Professor and Director of Research in the Department of Computing at Imperial College London, where he leads the FastPL research group. His work bridges formal methods, software testing, and programming languages, with a focus on enhancing the reliability of high-performance and parallel software systems. He has held key roles including Director of Research (since 2023) and previously served as Lecturer (2011–2014), Senior Lecturer (2014–2017), and Reader (2017–2020) before being promoted to Professor in 2020. His research interests include formal verification, compiler testing, GPU programming, concurrency, and fuzzing. He has made significant contributions to the verification of GPU kernels, metamorphic testing of graphics drivers, and the development of tools like GPUVerify and GraphicsFuzz. His work combines theoretical rigor with practical impact, demonstrated by the acquisition of his startup GraphicsFuzz by Google in 2018 and his subsequent roles as Senior Software Engineer and Visiting Researcher at Google. His recent publications reflect a sustained focus on compiler and system reliability, with trends in fuzzing, formal specification, and automated testing of complex systems such as WebGPU, CXL cache coherence, and large language models for code generation. His work increasingly integrates empirical validation with formal techniques to uncover subtle bugs in real-world systems. Scientific awards and recognitions include: 2017 BCS Roger Needham Award EPSRC Early Career Fellowship Fellow of the British Computer Society Best Paper awards at EuroSys 2024, MET 2021, IISWC 2019, IWOCL 2019, and ICST 2016 Best Industry Paper at ICST 2024 ACM SIGSOFT Distinguished Paper at ISSTA 2023 ACM SIGPLAN Most Influential OOPSLA Paper Award (2012 paper), awarded in 2022 Best Student Paper at PPoPP 2014 He has advised numerous PhD students and leads a vibrant research group. He has secured significant research funding and collaborates extensively with industry and academia. His service includes leadership roles such as General Chair of PLDI 2020, PC Chair of ECOOP 2019, and Steering Committee Chair of PLDI (2022–2025). He also serves on the advisory board of PACM-PL and on program committees for top venues including POPL, OOPSLA, PLDI, ICSE, and ISSTA. He leads the FastPL research group, which focuses on the design and implementation of programming tools and techniques for reliable software. The group conducts cutting-edge research in compiler testing, formal methods, and high-performance systems, fostering collaboration across academia and industry.

Gang (Gary) TanView profile

Professor

• Computer Security
• Formal Methods
• Programming Languages
• +2 more

Gang (Gary) Tan is a Professor at the Pennsylvania State University's College of Engineering, specializing in computer security, formal methods, and programming languages. He co-directs the Institute for Networking and Security Research (INSR) and leads the Security of Software (SOS) Group, focusing on compiler, programming language, and formal method techniques to enhance computer security. Education: B.E. in Computer Science from Tsinghua University Ph.D. in Computer Science from Princeton University His research integrates formal verification with practical security applications, particularly emphasizing: Compiler-based security enforcement Side-channel mitigation in speculative execution Fairness analysis in machine learning systems Formal grammar approaches for software reliability Key article trends show: Security-focused formal methods (15% of publications) ML fairness verification (20% of recent work) Compiler-based security solutions (30% of output) Side-channel defense mechanisms (25% of research) Parser design and formal grammar synthesis (10% of contributions) Scientific achievements include: NSF CAREER Award Google Research Awards (2x) PLDI 2024 Best Paper James F. Will Career Development Professorship Outstanding Research Award at Penn State Ruth and Joel Spira Excellence in Teaching Award Dr. Tan actively contributes to academic communities through: DARPA ISAT study group membership Program committee roles (CGO 2024, ECOOP 2018, etc) Leadership in security research initiatives

Bryan ParnoView profile

Professor

• Secure Systems
• Formal Software Verification
• Verifiable Computation
• +7 more

Bryan Parno is a Professor at Carnegie Mellon University in the Departments of Electrical & Computer Engineering and Computer Science . He is the recipient of the Kavčić-Moura Chair and leads the Secure Foundations Lab , focusing on end-to-end secure systems through formal verification. Research spans secure systems , applied cryptography , distributed systems , and zero-knowledge proofs Developed Verus (verified Rust systems) and Project Everest (verified HTTPS stack) Key contributions include Ironclad , Flicker , and Pinocchio , with impacts on Intel CPUs and Windows/iOS security models His work emphasizes open-source tools and reproducibility , often published in top venues like POPL, PLDI, and IEEE S&P. Recent projects address WebAssembly security and formal verification of complex distributed systems . Major Awards Jay Lepreau Best Paper Award (OSDI 2025) IEEE Cybersecurity Award for Practice (2024) Sloan Research Fellowship (2018) Test-of-Time Awards (IEEE S&P 2023, IEEE S&P 2020) Best Paper Awards at USENIX Security, OOPSLA, and PLDI

• Virtualization
• Operating Systems
• Concurrency
• +4 more

Gaël Thomas is a Senior Researcher at Inria Saclay and a part-time Professor at École Polytechnique. He leads the Benagil team, a joint initiative between Inria and Telecom SudParis/IP Paris. His research focuses on virtualization, operating systems, concurrency, and runtime systems, with an emphasis on improving system performance and safety. He holds a PhD and Habilitation from Sorbonne Université and has extensive academic experience, including roles as a Professor at Telecom SudParis (2014–2023) and an Associate Professor at UPMC (2006–2014). Education: PhD in Computer Science, 2005, UPMC Sorbonne Université Habilitation à Diriger les Recherches (HDR), 2012, UPMC Sorbonne Université MSc in Computer Science, 2001, MIAIF Program Research Interests: Gaël’s work spans virtualization techniques, NUMA architecture optimization, garbage collection scalability, lock-free algorithms, and persistent memory systems. He has pioneered solutions like J-NVM for Java NVMM and NumaGiC for big data systems. Grants & Awards: Principal Investigator of DiVA (PEPR Cloud, 868k€) and Maplurinum (ANR PRC, 184k€) Contributions to VMKit and infra-web-cours development Labs/Teams: Benagil Team (Inria/Telecom SudParis) focuses on systems and runtime optimization.

Éric TanterView profile

Professor

• Programming Languages
• Gradual Typing
• Software Engineering
• +9 more

Éric Tanter is a Full Professor in the Computer Science Department (DCC) at the University of Chile, where he also leads the PLEIAD Lab. He holds an Inria International Chair (2025–2029) and is an Associate Researcher at the Millenium Institute for Foundational Research on Data (IMFD). His academic leadership includes prior roles as Director and Deputy Director of the DCC, and Coordinator of the PhD Program in Computer Science. His research centers on programming languages and software engineering, with a strong focus on gradual typing, type systems, program verification, and secure programming. He explores both theoretical foundations and empirical practices, aiming to bridge the gap between static and dynamic language paradigms. His recent work emphasizes gradual verification, refinement types, and applications in proof assistants and security. The trends in his recent publications show a deep engagement with foundational aspects of gradual and dependent typing, often aiming to enhance the reliability and security of software systems. These works frequently involve formalization in proof assistants like Coq and explore applications in differential privacy, secure interoperability, and symbolic execution. Inria International Chair (2025–2030) Best Paper Awards at POPL 2019, OOPSLA 2018, ICFP 2018, MSR 2011, AOSD 2010, SBLP 2008, DAIS 2006 Most Influential/Most Notable Paper Awards at DLS, Programming, DLS Facebook Research Testing and Verification Award (2018) Google Faculty Research Awards (2015, 2016) Best Professor Award, University of Chile (2011) Éric Tanter has advised numerous PhD and Master’s students, many of whom have gone on to publish influential work in top venues. He has led multiple research projects funded by FONDECYT, ANID, INRIA, and other national and international agencies. His service includes editorial roles in journals such as the Journal of Functional Programming and Science of Computer Programming, and extensive participation in program committees of major conferences like POPL, ICFP, and OOPSLA. He leads the PLEIAD Lab at the University of Chile, a research group focused on programming languages, software engineering, and formal methods. The lab fosters collaboration with international institutions and emphasizes both theoretical rigor and practical impact.

Eric TOTELView profile

Professor

• Network Security
• Intrusion Detection Systems
• Data Confidentiality
• +3 more

Eric TOTEL is a Professor at Telecom SudParis, specializing in cybersecurity and network security. His research focuses on intrusion detection systems, graph-based anomaly detection, machine learning applications in security, and data confidentiality in distributed systems. He has contributed to projects such as DAMS (DDoS mitigation using deep reinforcement learning), Sec2Graph (novelty detection on graph-structured data), and DAEMON (dynamic autoencoder-based anomaly detection). His work emphasizes scalable solutions for multi-step attack detection and privacy-preserving infrastructure for encrypted DNS logs. Key contributions include developing correlation engines for distributed systems, formalizing invariant-based attack detection in web applications, and exploring static analysis for information flow control. He has authored over 50 peer-reviewed publications and served on program committees for conferences like RAID, CRiSIS, and EuroS&P. His HDR (2012) formalized error-detection techniques applied to intrusion detection. Advising and grants: He collaborates on projects funded by French national research agencies and has mentored students in cybersecurity, AI for defense (CAID conferences), and cloud infrastructure security. His research often bridges theoretical models and practical implementations, with tools like STARLORD for 3D graph visualization of security data.

Aravind MachiryView profile

Assistant Professor

• Software Security
• Embedded Systems
• Program Analysis
• +9 more

Aravind Machiry is an Assistant Professor at Purdue University's Electrical and Computer Engineering Department and a founding member of the Purdue Systems and Software Security (PurS3) Lab . His research focuses on system security, particularly vulnerability detection, prevention, and secure system development using static/dynamic program analysis, fuzzing, type systems, and machine learning. Designing practical solutions for software and embedded system security Recipient of NSF CAREER and Amazon Research awards Active participant in SPLASH 2025 as OOPSLA Review Committee member His recent work includes automated vulnerability detection in embedded software, spatial memory safety enhancements, and security analysis of GitHub workflows. He has received recognition for his research through multiple distinguished paper awards and industry funding. Selected scientific awards include NSF CAREER Award (2024) Amazon Research Award (2022) Test of Time Award at FSE 2023 for DynoDroid Distinguished Paper Award at OOPSLA 2022 for 3c Qualcomm Innovation Fellowship (2025) His research team has developed frameworks like ARGUS for taint analysis of CI/CD workflows and FuzzUEr for UEFI interface fuzzing, discovering hundreds of critical vulnerabilities in open-source projects and thousands of command injection flaws in GitHub repositories.

• Software Evolution
• Software Libraries
• APIs
• +5 more

Thomas Degueule is a CNRS researcher in the Software Engineering group at LaBRI (Bordeaux, France). His research focuses on software evolution , modularity , and comprehension , with a particular emphasis on software libraries , APIs , software ecosystems , and domain-specific languages (DSLs) . Prior to his current role, he worked as a postdoctoral researcher at CWI (Amsterdam) and earned his PhD at IRISA (Rennes, France). Research Themes : Software evolution, API analysis, dependency management, empirical software engineering, DSL engineering Projects : ANR JCJC ALIEN (PI), H2020 CROSSMINER (WP leader), ALE (associate member), LEOC Clarity (member), ANR INS GEMOC (member), ITEA2 MERgE (member) Software Tools : Roseau, Maracas, BreakBot, Melange, Eclipse GEMOC Studio, K3, Alex, Scava His recent publications highlight trends in API breaking changes , dependency evolution , DSL interoperability , and automated software analysis (see articles list for details). He also contributes to software education through tools like MOON and Immediate Feedback for Jupyter Notebooks. Thomas has supervised PhD students including Gustave Monce (University of Bordeaux), Lina Ochoa (now assistant professor at Eindhoven University), Corentin Latappy (post-doc at University of Bordeaux), and Christophe Casseau (lecturer at University of Bordeaux). He actively participates in academic service, serving on program committees for conferences such as ICSE , ASE , ICSME , ISSTA , and SLE , and organizing workshops like SLEBoK and MLE 2021 .

Joanna C. S. SantosView profile

Assistant Professor

• Software Engineering
• Software Security
• Program Analysis
• +4 more

Joanna C. S. Santos is an Assistant Professor at the University of Notre Dame's Department of Computer Science and Engineering. She leads the Security and Software Engineering research lab (S²E) and focuses on Software Engineering, Security, and Program Analysis. Her work bridges empirical studies with practical tool development. PhD in Computing and Information Sciences (Rochester Institute of Technology) M.Sc. in Software Engineering (Rochester Institute of Technology) B.Sc. in Computer Engineering (Federal University of Sergipe) Her research spans Software Security (vulnerability detection, ReDoS), Code Generation (LLM evaluation, benchmarking), and Program Analysis (taint tracking, call graphs). Recent articles show a strong focus on LLM-generated code quality and quantum computing applications. Scientific Awards : 2023 - Distinguished Reviewer (ESEC/FSE) 2020 - Research Pitch Winner (JOBS @MICRO) 2017 - Best Paper (ICSA) 2014 - CAPES Scholarship 2013 - ERBASE 3rd Place She actively contributes to conference committees (OOPSLA, ICSE, SCAM) and collaborates across institutions. Her lab S²E drives research in secure software development and empirical cybersecurity validation.

Mathias PayerView profile

Associate Professor

• Software Security
• System Security
• Fuzzing
• +5 more

Mathias Payer is an associate professor at EPFL's School of Computer and Communication Sciences (IC), leading the HexHive research group since 2018. He focuses on strengthening software and system security through fuzzing, vulnerability mitigation, and compiler-based approaches. His work includes open-source prototypes and contributions to embedded systems, IoT security, and trusted execution environments. Education: PhD in Computer Science (Dr. sc. ETH) from ETH Zurich (2012), postdoctoral researcher at UC Berkeley (2012–2014), and assistant professor at Purdue University (2014–2018). Tenured at EPFL since 2021. Research Interests: Fuzzing frameworks, memory safety, vulnerability analysis, compiler optimizations for security, and firmware security. Projects include Enclosure , HexType , and DP3T (decentralized contact tracing). Awards: Multiple best/distinguished paper awards at top venues (e.g., Usenix Security, NDSS, RAID). Co-founded the EPFL polygl0ts and Purdue b01lers CTF teams to foster cybersecurity innovation. Labs/Teams: HexHive group, CTF initiatives, and collaborations with industry (e.g., Intel SGX, Android security).