Find Academic Supervisors

• Operating Systems
• Microkernel Design
• Computer Science Education
• +1 more

Andrew S Tanenbaum is a distinguished Professor at Vrije Universiteit in the Netherlands, renowned for his groundbreaking contributions to operating systems education and design. His career has been defined by his commitment to making complex computer science concepts accessible to students worldwide through innovative teaching tools and authoritative textbooks. Tanenbaum's primary research focus centers on operating systems, particularly microkernel architecture and distributed systems. He pioneered the development of MINIX, a Unix-like operating system created specifically as a teaching tool that has influenced generations of computer science students. His work has significantly shaped the discourse around monolithic versus microkernel system designs, with MINIX serving as a practical demonstration of microkernel principles. The educational impact of his approach cannot be overstated, as it provided students with unprecedented access to complete operating system source code alongside detailed explanations of its design and implementation. Tanenbaum's scientific achievements have been recognized with prestigious honors including the 2023 ACM Software System Award and ACM Fellowship in 1996. These awards acknowledge not only his technical contributions but also his exceptional impact on computer science education globally. As an educator and researcher, Tanenbaum has profoundly influenced the field of operating systems. His creation of MINIX in 1987 revolutionized how operating systems are taught, making complete, working Unix-like systems available to students through standard bookstores. This approach directly inspired the development of Linux and continues to serve as a foundational learning tool in computer science curricula worldwide.

June AndronickView profile

Associate Professor

• Formal Methods
• Theorem Proving
• Software Verification
• +4 more

June Andronick is a conjoint Associate Professor at the University of New South Wales and CEO/co-founder of Proofcraft, a company specializing in formal verification of software systems. She also serves as CEO of the seL4 Foundation and was previously a Principal Researcher at CSIRO's Data61 (formerly NICTA). Her research focuses on increasing the reliability of critical software systems through mathematical proofs that ensure code behaves as expected and meets security and safety requirements. She previously led the Trustworthy Systems group, renowned for the formal verification of the seL4 microkernel, and her current research emphasizes concurrency reasoning for operating system code. Dr. Andronick's work bridges theoretical formal methods with practical software systems, with significant contributions to operating systems verification. Her publication 'COMPLX: a verification framework for concurrent imperative programs' (CPP 2017) demonstrates her focus on practical verification frameworks for complex software systems. MIT's Technology Review TR35 award (2011) - recognition as one of the world's top young innovators She has served on program committees for major computer science conferences including PLDI (External Program Committee 2020, Program Committee 2019) and POPL, demonstrating her leadership in the programming languages research community. Through Proofcraft, she provides commercial support, training, and consulting to help organizations implement formal verification in their software development processes.

Peter O'HearnView profile

Professor

• Separation Logic
• Program Verification
• Static Analysis
• +5 more

Peter O'Hearn is a Professor of Computer Science at University College London and Research Scientist at Meta AI (FAIR), renowned for co-developing separation logic which bridges theoretical computer science and industrial-scale program analysis. His dual affiliation exemplifies the synergy between academic research and practical tool development that characterizes his career. His research interests focus on program verification , separation logic , static analysis , and his recent groundbreaking work on incorrectness logic as a complementary approach to traditional verification. O'Hearn pioneered the concept of local reasoning which enables modular verification of large codebases by focusing only on relevant memory regions, forming the theoretical foundation for Facebook Infer. His publications reveal a consistent trajectory from foundational theory to industrial application, with recent work emphasizing Scalable verification for million-line codebases Compositional reasoning for concurrent systems Practical deployment of formal methods in developer workflows Bug-oriented reasoning through incorrectness logic His research consistently addresses the tension between theoretical soundness and practical applicability in program analysis. Notable scientific awards include: 2021 IEEE Cybersecurity Award for Practice 2016 Gödel Prize for separation logic 2016 CAV Award for outstanding contributions POPL 2019 Most Influential Paper Award Fellow of the Royal Society (FRS) Fellow of the Royal Academy of Engineering (FREng) O'Hearn has made substantial contributions to industrial practice through Facebook Infer, which analyzes millions of lines of code daily across Meta's codebase. His work on continuous reasoning integrates formal verification into developer workflows, while his recent focus on incorrectness logic addresses the critical need for effective bug detection in large systems. He maintains active leadership in the programming languages community through conference organization and keynotes.

Magnus MyreenView profile

Professor

• Program Verification
• Interactive Theorem Proving
• Formal Methods
• +8 more

Magnus Myreen is a Professor in the Department of Computer Science and Engineering at Chalmers University of Technology, where he leads research in program verification, interactive theorem proving, and verified software systems. He previously held a prestigious Royal Society University Research Fellowship at the University of Cambridge. Chalmers University of Technology — Professor (2023–present), Associate Professor (2015–2023) University of Cambridge — Royal Society Research Fellow (2012–2018) His research focuses on making formal verification practical and scalable, particularly through the CakeML project—a fully verified ML-style language with a bootstrapped compiler. He develops techniques in decompilation into logic, proof-producing synthesis, and verified runtimes for theorem provers like Milawa and HOL Light. His recent publications span top venues such as POPL, PLDI, ITP, and CAV, with a strong emphasis on verified compilation, compiler optimizations, and connecting verified components into larger systems (e.g., seL4 + CakeML). The work consistently targets real-world applicability and reduction of trusted computing bases. ACM SIGPLAN Most Influential POPL Paper Award (2014) BCS Distinguished Dissertation Competition Winner (2010) Amazon Research Award (2023) Royal Society University Research Fellowship Magnus has advised several PhD students including Oskar Abrahamsson, Alejandro Gomez, and Andreas Loow. His research has been funded by the Swedish Research Council and EPSRC. He is currently chair of the ITP steering committee and frequently serves on program committees for ITP, CPP, PLDI, and related conferences. He has led major collaborative efforts to connect verified systems, such as extending the seL4 microkernel verification down to machine code and proving the soundness of the Milawa theorem prover down to x86 machine code. He also works on verified synthesis of hardware and formal semantics of multiprocessor architectures.

• Computer Science
• Cybersecurity
• Reliable Computing Systems
• +5 more

Professor Zbigniew Kalbarczyk is affiliated with the Illinois Advanced Research Center at Singapore (Illinois ARCS), part of the University of Illinois. His research focuses on designing and validating reliable and secure computing systems, with an emphasis on software middleware (ARMOR), operating system-level error recovery (Reliability Microkernel, RMK), hardware reliability support (Reliability and Security Engine, RSE), and formal verification frameworks (SymPLFIED). He holds a Ph.D. in Computer Science from the Bulgarian Academy of Sciences (1992), and two M.S. degrees in Electronic Engineering (Technical University of Sofia, 1984) and Mechanical Engineering (Technical University of Warsaw, 1981). His research interests span fault injection techniques (NFTAPE), GPU resilience, autonomous system safety, and cybersecurity in industrial control systems. Recent work includes projects on hierarchical autoscaling for large language models (Chiron), power-aware DL serving (µ-Serve), and security testbeds for supercomputing infrastructure. He explores SLOs in resource-constrained environments and Kubernetes failure mitigation. His methodologies combine experimental validation with formal analysis to address both accidental errors and malicious attacks. Key contributions include frameworks like ARMOR middleware, Reliability Microkernel, and Symbolic Program-Level Fault Injection (SymPLFIED). His articles highlight trends in resilient AI/HPC systems, energy-efficient computing, and secure embedded systems (e.g., ARM TrustZone for PLCs). Current work addresses challenges in smart grid cybersecurity, machine learning-driven malware detection, and safety-critical fault mitigation in autonomous vehicles. No scientific awards are explicitly mentioned in the provided texts. Research grants and collaborations are inferred through project descriptions but not explicitly detailed. He is part of the Illinois ARCS team, collaborating on interdisciplinary projects involving hardware-software co-design and cybersecurity solutions for industrial and cloud systems.

• Cloud Computing
• Virtualization
• System Administration
• +2 more

Kyrre Matthias Begnum is an Associate Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU). His research focuses on cloud computing infrastructure, virtualization technologies, and efficient resource management in distributed systems. Dr. Begnum's work explores optimization techniques for cloud environments, including load distribution algorithms and virtual machine management strategies. He has contributed significantly to unikernel development through the IncludeOS project, enabling highly efficient cloud services. His recent publications address security challenges in machine learning-based intrusion detection systems and network reconfiguration in high-performance computing environments. He teaches courses on robust service development and system administration. His outreach includes educational podcasts on problem-solving methodologies in technology and computing.

Anjo Vahldiek-OberwagnerView profile

Adjunct Professor

• System Security
• Operating Systems
• Trusted Execution Environments
• +7 more

Anjo Vahldiek-Oberwagner is a Research Scientist at Intel Labs and an Adjunct Lecturer at TU Munich, where he contributes to both industrial R&D and academic education in systems and security. His work bridges hardware and software security, focusing on confidential computing, in-process isolation, and secure cloud deployments. PhD in Computer Science, Max Planck Institute for Software Systems & Saarland University, 2019 B.Sc. in Applied Computer Science, Cooperative University State University Baden-Wuertemberg, 2009 His research centers on system security, particularly techniques for protecting data confidentiality and integrity at rest, in-flight, and in-memory. He explores operating systems, distributed systems, and hardware-assisted security mechanisms such as Intel MPK and SGX. His work on ERIM, HFI, Endokernel, and Graphene has advanced secure in-process isolation and trusted execution environments. He has published extensively in top venues like USENIX Security, ASPLOS, and IEEE S&P. His recent publications reflect a strong trend toward practical, deployable security solutions for modern computing environments, including secure AI/ML deployments, efficient in-process isolation, and hardware-accelerated sandboxing. Themes include memory safety, performance optimization, and real-world applicability of security primitives. Scientific awards include: Distinguished Paper Award and Internet Defense Prize, USENIX Security 2019 (ERIM) Distinguished Paper Award, ASPLOS 2023 (HFI) IEEE Micro Top Picks 2024 (HFI) Intel Hardware Security Academic Award (Honorable Mention) DARPA Riser 2022 Intel Labs Gordy Award Honorable Mention He actively mentors and serves on program committees (EuroSys, USENIX Security, ASPLOS), chairs artifact evaluation (USENIX Security, EuroSys, SC), and is an Associate Editor for ACM TOPS. He has advised no formal students listed, but collaborates widely across Intel and academia. His work is supported by Intel and DARPA, and he holds multiple patents in secure computing and TEEs. He leads research on memory-safe architectures and secure cloud deployments at Intel Labs. He is involved in several research projects, including: Secure In-Process Memory Isolation, Shielding Applications in Untrusted Clouds via SGX, Memory-Safe Hardware and Software Architecture, and Research Artifacts and Evaluation. He is also a key contributor to the Graphene Library OS and works on validation and endorsement services for confidential computing.

• Embedded Systems
• Formal Verification
• Theorem Proving
• +7 more

Dr. Timothy Peter Bourke is a Researcher at Inria affiliated with the PARKAS team in the Informatics Department of École Normale Supérieure (ENS) . He also serves as an Adjunct Professor in the Informatics Department of École polytechnique , where he contributes to courses like CSE205. His work bridges theoretical rigor and practical implementation in embedded systems. Research Interests : Focuses on rigorous approaches to modeling, programming, and verifying embedded control systems using synchronous languages (e.g., Vélus, Zélus), dataflow programming (e.g., Esterel), and interactive theorem provers. Projects include verified compilation, timed automata, and applications to robotic wheelchairs, microprinters, and network protocols. Academic Service : Serves on program committees for conferences such as DAC, ECRTS, EMSOFT, and RTSS. Organized workshops (e.g., Synchron 2020, 2021) and held roles in ESWEEK (Tutorial Chair 2021, Web Chair 2024). Regular reviewer for journals like ACM Transactions on Embedded Computing Systems and conferences including POPL, CAV, and DATE. Students and Teaching : Supervises PhD students Paul Jeanmaire, Basile Pesin, and others. Teaches courses at ENS (L3 level), MPRI INF559, and École polytechnique (CSE205). Involves software tools like Muttlight, Sundials/ML, and Urpal in his research. Labs and Teams : Member of the PARKAS team at Inria, collaborating on projects involving the seL4 microkernel , wireless routing protocols, and formal verification of embedded systems.

Alexandru PalerView profile

Associate Professor

• Quantum Computing
• Quantum Software
• Quantum Circuit Compilation
• +2 more

Alexandru Paler serves as an Associate Professor in the Department of Computer Science at Aalto University, Finland, where he leads research in quantum software development. His work focuses on designing compilers and optimization frameworks for quantum circuits, with emphasis on quantum error correction implementation and fault-tolerant quantum computing systems. Based in Espoo at Konemiehentie 2, he maintains active research collaborations through the university's quantum computing initiatives. Dr. Paler's research spans quantum circuit compilation, quantum error correction (particularly surface codes and QLDPC codes), and quantum software optimization. His team develops high-performance quantum compilers for neutral atom architectures and modular superconducting systems, addressing critical challenges in resource estimation and fault tolerance. The Quantum Operating Systems (QUANTUM) research group he contributes to explores scalable quantum software frameworks that bridge theoretical algorithms with practical hardware constraints, with significant work on graph-state compilation and reinforcement learning for circuit optimization. Analysis of his 15 most recent publications (2023-2025) reveals concentrated efforts in quantum compiler design, error correction scalability, and hardware-aware quantum software. Key trends include machine learning applications for decoder optimization, novel approaches to measurement-free error correction, and queuing theory models for fault-tolerant circuit analysis. His work consistently addresses the practical barriers to large-scale quantum computing through compiler innovations and resource-efficient circuit design. Dr. Paler actively participates in the Quantum Operating Systems (QUANTUM) research group within Aalto's Department of Computer Science, focusing on Algorithms and Theoretical Computer Science. This team develops quantum software infrastructure for next-generation quantum hardware, with current projects including Pandora (ultra-large-scale circuit compilation), quantum circuit caching mechanisms, and standardized cell approaches for neutral atom systems. Their research directly supports the transition from theoretical quantum algorithms to executable, error-resilient quantum programs.

• Operating Systems
• Formal Methods
• Computer Security
• +2 more

Professor Gernot Heiser, affiliated with the University of New South Wales, is a pioneer in formal verification of operating system kernels. His work on the seL4 microkernel revolutionized the application of formal methods in computer science, demonstrating that industrial-strength systems can achieve full functional correctness through mechanized proofs. ACM Software System Award (2022) ACM Fellow (2014) ACM Senior Member (2009) Heiser's research focuses on high-assurance operating systems, security properties (integrity and confidentiality), and proof engineering. His team's advancements in worst-case execution-time analysis and compiler trust elimination have established new paradigms in systems verification. The seL4 microkernel, developed under his leadership, has enabled verified systems for autonomous vehicles and defense applications (e.g., DARPA HACMS program). Its open-sourcing in 2014 and the 2020 seL4 Foundation have catalyzed global adoption and ecosystem growth. Scientific Recognition: 2022 ACM Software System Award 2014 ACM Fellow 2009 ACM Senior Member

Lars WrengerView profile

Researcher

• Operating Systems
• Memory Management
• Virtualization
• +3 more

Lars Wrenger is a Doctoral Researcher and Researcher at Leibniz University Hannover's System Architecture (SRA) Group, specializing in operating systems and memory management for heterogeneous memory systems including non-volatile and distributed memory architectures. He holds an M.Sc. and is pursuing his PhD, having completed his Master's thesis 'Lo(ck|g)-free Page Allocator for Non-Volatile Memory in the Linux Kernel' which earned him the GI-FGBS Award for Best Master Thesis in 2023. His research focuses on Operating Systems , Memory Management , and Virtualization , addressing fundamental challenges in memory allocation scalability, fragmentation, and crash consistency. His publication portfolio demonstrates consistent innovation in memory subsystems, with recent work on the LLFree allocator and HyperAlloc mechanism presented at premier venues like OSDI, EuroSys, and USENIX ATC. These contributions show a clear trajectory toward efficient, scalable memory management solutions for next-generation hardware architectures. Key recognitions include: ARCS Conference Best Paper Award (2023) for TOSTING research USENIX ATC Distinguished Artifact Award (2023) for LLFree DIMES Workshop Best Paper Award (2024) for fragmentation analysis GI-FGBS Best Master Thesis Award (2023) Wrenger actively mentors graduate students on advanced memory management topics including page allocators, virtual memory systems, and energy-efficient DRAM management. His research is primarily funded through the DFG ParPerOS project (LO 1719/8-1 and DI 2840/2-1), which develops unified memory abstractions for heterogeneous systems. As a core member of the SRA Group, he collaborates with the Barkhausen Institute and TU Dresden on microkernel-based containerization (MettEagle project) and maintains active open-source contributions to memory management subsystems, with significant GitHub presence and ORCID 0009-0006-9583-6207.

Larissa MeinickeView profile

Senior Lecturer

• Formal Methods
• Program Verification
• Concurrency Theory
• +7 more

Larissa Meinicke is a Senior Lecturer in the School of Electrical Engineering and Computer Science at The University of Queensland, within the Faculty of Engineering, Architecture and Information Technology. She is actively engaged in research and student supervision, with a focus on formal methods, program verification, and computer security. Her work bridges theoretical computer science and practical software engineering, particularly in concurrent and secure systems. Research Interests: Dr. Meinicke specializes in formal specification and development of computing systems, with particular emphasis on probabilistic systems, computer security, refinement and concurrent algebras, and real-time and fault-tolerant systems. Her work employs mathematical notations and algebraic techniques to ensure correctness and reliability of software. Recent Research Trends: Her recent publications (2024–2016) demonstrate a sustained focus on concurrent program algebras, particularly through rely/guarantee reasoning, cylindric algebra, and trace models. These works aim to formalize concurrency in systems like seL4, enabling correct and secure multicore software. Themes include information flow, security capabilities in Java, and fairness in concurrent execution. Scientific Funding and Projects: She has been awarded several competitive grants, including ARC Discovery and Linkage Projects, as well as defense-related funding from DSTG and ANU. Notable projects include verifying concurrent data structures for seL4, designing secure concurrent systems, and analyzing Java security conformance. Supervision and Collaboration: Dr. Meinicke serves as Principal Advisor for PhD candidates working on concurrent refinement algebras and valuation models. She collaborates extensively with leading researchers such as Emeritus Professor Ian Hayes, Annabelle McIver, and Carroll Morgan. Her supervision includes both theoretical and applied aspects of formal methods. Labs and Research Groups: She is a member of the Division of Systems and Software Engineering Research, contributing to the Specification and Development of Probabilistic Systems research group at UQ. This team focuses on rigorous mathematical modeling for reliable and secure software systems.

Johannes Aman PohjolaView profile

Lecturer

• Interactive Theorem Proving
• Program Verification
• Concurrency Theory
• +3 more

Dr Johannes Aman Pohjola is an education-focused academic affiliated with the University of New South Wales, School of Computer Science and Engineering. He holds a PhD and MSc in Computer Science from Uppsala University, Sweden. Education: MSc (2010), PhD (2016), Uppsala University Affiliation: University of New South Wales, School of Computer Science and Engineering His research spans interactive theorem proving, program verification, and concurrency theory. Recent work includes verified systems programming (Pancake), compiler verification (PureCake), and formal semantics for HOL with ad-hoc overloading. Publications emphasize mechanized proofs and functional programming languages like CakeML. Scientific awards include the Best Paper Award at FORTE/DisCoTeC 2019. Collaborations with researchers in formal verification and systems programming highlight his interdisciplinary contributions.

Adnan SalihbegovicView profile

Lecturer

• Automation Engineering
• Instrumentation
• Embedded Systems
• +3 more

Adnan Salihbegovic is affiliated with the Department for Automation and Electronics, where he teaches advanced courses such as Special Measurements Techniques for undergraduate students. His curriculum emphasizes modern instrumentation methodologies, including LabVIEW programming, virtual instrumentation, and data acquisition system integration using DAQ modules and GPIB communication protocols. He oversees laboratory works involving HP and National Instruments equipment for signal analysis, logic analyzers, spectral analyzers, and oscilloscopes. His research interests focus on automation systems, embedded systems design, IoT applications, and control engineering. He has contributed to projects involving web-based SCADA systems, industrial automation workflows, and optimization of order-picking processes in logistics. His work also explores educational tools such as decompilable code editors and tiny OS kernels for teaching purposes. Salihbegovic’s publications span topics like enterprise GIS in power distribution, domain-specific modeling languages for IoT, and vibration control using fuzzy logic. He actively participates in international conferences related to automation and information technologies, demonstrating expertise in both theoretical and applied engineering solutions. His teaching integrates practical lab exercises with theoretical concepts, ensuring students gain hands-on experience with industry-standard tools like LabVIEW and DAQ systems. He also advocates for remote laboratory access and internet-based control systems to enhance educational accessibility and industrial efficiency.

Michalis PolychronakisView profile

Associate Professor

• Network and Systems Security
• Network Monitoring and Measurement
• Online Privacy
• +5 more

Michalis Polychronakis is an Associate Professor in the Department of Computer Science at Stony Brook University, affiliated with the National Security Institute. He holds a B.Sc., M.Sc., and Ph.D. in Computer Science from the University of Crete, Greece, where he worked at the Distributed Computing Systems Lab at FORTH-ICS. Prior to Stony Brook, he was an Associate Research Scientist at Columbia University. His research focuses on enhancing network and systems security, developing defenses against malicious software and online threats, reinforcing online privacy, and analyzing the internet ecosystem's vulnerabilities. He has made significant contributions to memory safety, kernel protection, censorship measurement, and exploit mitigation techniques. Key awards include the Marie Curie International Outgoing Fellowship (2010-2013), the Most Influential DIMVA Paper Award (2012), and the Best Paper Award at MALWARE 2011. His work spans compiler security, containerization security, and privacy-preserving protocols. Teaching includes CSE508. His research has been supported by grants and collaborations, though specific grant details are not provided here. He leads efforts in cybersecurity through innovative approaches to system hardening and vulnerability analysis.