Ranjit Jhala is a Professor of Computer Science Engineering in the Jacobs School of Engineering at the University of California, San Diego. His research focuses on building reliable computer systems through programming languages and software engineering techniques. His primary research interests include Programming Languages, Formal Verification, and Software Engineering. He draws from and contributes to areas such as Type Systems, Model Checking, Program Analysis, and Automated Deduction, bridging theoretical foundations with practical implementations for real-world software development. Prof. Jhala's publication record shows a consistent trajectory in refinement type systems, evolving from Liquid Haskell to Flux for Rust, while also exploring neurosymbolic approaches to error repair and type error diagnosis. His work demonstrates a commitment to making formal verification techniques accessible to practitioners. He leads the Programming Systems Group at UCSD, mentoring graduate students and collaborating with researchers across the programming languages community. His service includes General Chair roles for POPL 2018 and PLDI 2022, reflecting his leadership position in the field. Prof. Jhala is also known for his mentoring activities, including talks on academic presentation skills and participation in ICFP's mentoring programs for students and early-career researchers.
Clément Pit-Claudel is an assistant professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, Department of Computer Science. He leads the SYSTEMF lab which he founded in January 2023. Prior to joining EPFL, he was a PhD candidate at MIT with Adam Chlipala and subsequently worked as a senior applied scientist at Amazon AWS. His academic journey began at École Polytechnique in France, followed by doctoral studies at MIT. Dr. Pit-Claudel's research focuses on programming languages, compilers, and formal verification, with broader interests spanning systems engineering, hardware design languages, security, performance engineering, databases, and type theory. His work centers around three main axes: extensible compilation (teaching compilers domain-specific optimization tricks), hardware design languages and verification, and tooling for proof assistants. He has developed several influential systems including Elk (a linear-time engine for JavaScript regexes), Warblre (a Coq translation of JS regex specification), Fiat (a library for correct-by-construction refinement), Narcissus (for verified binary encoders/decoders), F2F (a program extraction framework), Rupicola (a compiler-construction toolkit), Kôika (a rule-based hardware design language), Cuttlesim (a fast hardware simulator), and Alectryon (a literate programming system for Coq). His publications span top venues including PLDI, POPL, ICFP, ASPLOS, and SLE, with recent work focusing on verified JavaScript regular expressions, foundational integration verification of cryptographic servers, and relational compilation techniques. His research aims to build small, fast, and completely verified components for critical systems through a combination of machine-checked proofs, hardware-software co-design, low-level compiler engineering, and new tools for interactive theorem proving. His notable awards include the Distinguished Artifact award at SLE 2020 for 'Untangling Mechanized Proofs,' the William A. Martin Memorial Thesis Award from MIT in 2016, and the Frederick C. Hennie III Teaching Award from MIT in 2016. He has served on program committees for numerous conferences including PLDI, POPL, ICFP, and SPLASH, and has organized workshops such as the Coq Workshop and Proof Systems. As an educator, he teaches 'Software Construction' (undergraduate level, ~400 students) and 'Interactive Theorem Proving' (graduate level) at EPFL. His teaching philosophy emphasizes hands-on learning, continuous assessment through oral examinations, and designing assignments that lead students to build concrete artifacts they can be proud of. His approach is informed by hundreds of hours of in-class instruction in Europe and the US, resulting in stellar student reviews and multiple teaching awards.
Yu Feng is an Associate Professor in the Computer Science Department at the University of California, Santa Barbara. He received his Ph.D. in Computer Science from the University of Texas at Austin in 2018 and his MS in Computer Science from Beihang University in 2008. His research focuses on programming languages, program analysis and verification, program synthesis, and security. Specifically, he aims to build automated tools that guarantee the desired behavior of systems in a sound, precise, and scalable way. He is particularly interested in applying program synthesis and analysis to tackle security and performance problems in mobile devices and blockchain applications. Professor Feng's recent publications demonstrate a strong focus on program synthesis for security applications, particularly in blockchain and zero-knowledge proofs. His work spans multiple top-tier conferences including PLDI, POPL, ASE, and CCS, showing consistent contributions to both programming languages and security communities. His research often combines logical reasoning with machine learning techniques to develop innovative solutions for complex problems in program analysis and synthesis. Ethereum Academic Award (2025, 2024, 2023) ACM SIGPLAN Distinguished Paper Award, PLDI 2022 ACM SIGCHI Best Paper Award, CHI 2021 Google Faculty Research Award (Security), 2021 ACM SIGSOFT Distinguished Paper Award, ASE 2020 DARPA HARDEN grant (2022-2025) NSF-SaTC grant (2019-2022) ACM SIGPLAN Distinguished Paper Award, PLDI 2018 Professor Feng actively mentors students in his research group, currently advising several PhD students including Yanju Chen, Junrui Liu, Hongbo Wen, and Hanzhi Liu. He has served on program committees for numerous top conferences including CCS, PLDI, OOPSLA, ICSE, ASPLOS, and POPL. His research is supported by prestigious grants including DARPA HARDEN and NSF-SaTC. His laboratory focuses on developing cutting-edge program synthesis and analysis frameworks that combine logical reasoning with machine learning. The team works on applications in blockchain security, zero-knowledge proofs, and secure protocol implementation.
Bronwen E. Shaw is a Professor in the Department of Medicine at the Medical College of Wisconsin, where she serves as the Director of the Center for International Blood and Marrow Transplant Research (CIBMTR) and is a Member of the Cancer Center. Her work focuses on advancing the field of hematopoietic cell transplantation through large-scale registry data analysis, clinical trials, and international collaboration. Dr. Shaw's research interests center on hematopoietic cell transplantation, bone marrow transplantation, and cellular therapy. She has made significant contributions to understanding donor selection criteria, transplant outcomes, graft-versus-host disease prophylaxis, and the application of machine learning to optimize transplantation results. Her work frequently addresses health disparities in transplant access and outcomes, with a particular focus on how post-transplant cyclophosphamide-based regimens affect outcomes across different donor types. She has been instrumental in developing international consensus guidelines for transplant-related conditions like thrombotic microangiopathy. Analysis of Dr. Shaw's recent publication record (2024-2025) reveals a strong emphasis on translational research that bridges clinical practice and data science. Her work increasingly incorporates patient-reported outcomes and leverages machine learning techniques to refine donor selection algorithms. The publications show consistent themes around improving transplant accessibility, reducing disparities, and developing evidence-based guidelines for complex transplant scenarios involving multiple organ systems. As Director of the CIBMTR, Dr. Shaw leads one of the most comprehensive hematopoietic cell transplantation research initiatives globally. The center maintains extensive registry data that supports numerous clinical investigations and serves as a foundation for evidence-based practice in the field. Her leadership position places her at the nexus of international transplant research collaboration, working closely with organizations including the European Society for Blood and Marrow Transplantation and the World Marrow Donor Association.
Dr. Sadik Alashan serves as Associate Professor in the Faculty of Engineering and Architecture at Bingol University, Turkey, specializing in Civil Engineering disciplines through teaching courses including Hydraulics, Hydrology, Fluid Mechanics, and Water Resources Structures. His academic journey spans over a decade at Bingöl University with progressive appointments from Research Assistant to current Associate Professor status. Education: Ph.D. in Hydraulic and Water Resources Engineering, Istanbul Technical University (2011-2016) M.S. in Hydraulic Engineering, Firat University (2008-2011) B.S. in Civil Engineering, Dicle University (1999-2003) Research Focus: Dr. Alashan pioneers statistical methodologies for hydrological trend analysis, particularly advancing Sen's Innovative Trend Analysis (ITA) into frameworks like S-IPTA and ITA-NF. His work bridges climate science and water engineering through drought assessment in Mediterranean regions, earthquake recurrence modeling in Eastern Turkey, and machine learning applications for hydraulic structures. Recent publications demonstrate evolution from foundational ITA refinements (2016-2020) toward integrated climate-hydrology frameworks (2023-2025), with increasing international collaboration. Scientific Awards: No major scientific awards listed in the provided information Academic Contributions: Dr. Alashan has co-supervised Master's research on climate impacts to river systems and serves as reviewer for leading journals including Water Resources Management and Natural Hazards. His publication trajectory shows consistent output with 15+ articles in the last five years, primarily in Q1 hydrology/climate journals. While no formal lab is specified, his computational research group focuses on methodological innovation for water resource challenges in semi-arid regions. Research Environment: Based in Bingöl (Eastern Turkey), his work addresses regional water security through earthquake-prone basin studies and Mediterranean drought analysis. His recent shift toward machine learning integration (2025 publications) indicates evolving technical capacity within his research group, leveraging computational approaches to solve practical hydraulic engineering problems.
Hiroshi Unno is a Professor at Tohoku University 's Research Institute of Electrical Communication and a Visiting Professor at the National Institute of Informatics. He has served on program committees for major conferences like POPL , PLDI , ICFP , and CAV . Dr. Unno's research focuses on Programming Languages Software Verification Artificial Intelligence Higher-Order Model Checking Refinement Type Systems Temporal Logic His recent work (2023-2025) includes advancements in algebraic effects , probabilistic program verification , and prophecy-based type systems . Key contributions appear in POPL , PLDI , and ICFP journals. Scientific awards include Distinguished Paper Award at POPL 2024 Distinguished Paper Award at POPL 2023 PPL 2014 Best Paper Award He leads development of tools like RCaml , Thrust , and EffCaml for refinement type checking. Current projects involve Kakenhi grants 20H04162 and 25H00446 . Dr. Unno actively contributes to academic communities through Program Committee roles at AAAI, CAV, and SAS Editorial work for IPSJ Transactions Organizing PPL Summer School (2022)
Francisco Ferreira is a Lecturer (tenure track, equivalent to Assistant Professor) in the Department of Computer Science at Royal Holloway, University of London. Previously, he was a postdoctoral Research Associate in the Department of Computing at Imperial College London, working with Professor Nobuko Yoshida. Dr. Ferreira's primary research interests include type systems and formal logic, formal meta-theory, concurrency and process calculi, session types, temporal logic and other modal logics, and principled approaches to programming. His work bridges theoretical foundations with practical applications, particularly in the realm of communication protocols and programming language design. His publication record demonstrates a strong focus on session types and their applications, with a trajectory moving from foundational theoretical work to practical implementations. Over the past decade, his research has increasingly emphasized the verification and implementation of communication protocols, resulting in tools and frameworks that ensure communication safety in distributed systems. Scientific Awards: ICFP'12 Student Research Competition First Place Dr. Ferreira has teaching experience in programming languages and paradigms, having served as both a lecturer and teaching assistant for COMP 302. His industrial experience includes Haskell consulting for Erudite Software, game programming for Bluberi, and developing mission-critical software for Motorola Argentina in the telecom industry.
Erol BENLİER is a Professor at Trakya University Faculty of Medicine, Department of Plastic, Reconstructive and Aesthetic Surgery. With extensive experience in both clinical practice and academic research, he has established himself as a prominent figure in the field of plastic surgery, particularly specializing in rhinoplasty, breast surgery, and reconstructive techniques. His educational background includes multiple doctoral degrees (1998, 2011, 2012), a Master's degree (1990), an Associate's degree (2013), and a Bachelor's degree (2015), along with certification from the European Board of Plastic Reconstructive and Aesthetic Surgery. Dr. BENLİER has demonstrated exceptional commitment to advancing surgical techniques through continuous education and specialization. Dr. BENLİER's research interests span a wide range of plastic surgery disciplines, with particular emphasis on rhinoplasty techniques, breast anthropometry, facial aesthetics, and innovative reconstructive methods. His work on the depressor septi nasi muscle modifications, nasal tip rotation, and ethnic considerations in rhinoplasty has contributed significantly to the field. He has also conducted extensive research on breast dimensions across different populations and body types, providing valuable reference data for aesthetic procedures. Analyzing his recent publications reveals a strong focus on refining surgical techniques and addressing specific challenges in plastic surgery. His work spans from anatomical studies of facial muscles to innovative approaches in breast surgery and reconstructive techniques. The publications demonstrate a consistent pattern of addressing clinical challenges with methodical research, often combining anatomical knowledge with practical surgical innovations. As an active educator, Dr. BENLİER serves on academic promotion committees, chairs conference sessions, and contributes to the training of future plastic surgeons. His involvement in national and international conferences, including serving as a course chairman for rhinoplasty and facial aesthetics, highlights his leadership role in the plastic surgery community. His refereeing activities for academic journals and promotion committees demonstrate his respected position within the academic hierarchy. Dr. BENLİER maintains active research collaborations, as evidenced by his co-authored publications and participation in multi-center studies. His work on flap reconstruction, wound healing, and complications management shows his commitment to improving patient outcomes through evidence-based practice. His diverse research portfolio reflects both depth in specific areas like rhinoplasty and breadth across the entire spectrum of plastic and reconstructive surgery.
Ranjit Jhala is a Professor of Computer Science Engineering at UC San Diego's Jacobs School of Engineering, where he leads the Programming Systems Group. His research spans Programming Languages and Software Engineering, focusing on building reliable systems through Type Systems, Model Checking, Program Analysis, and Automated Deduction. His current projects include Flux for Rust verification, Liquid Haskell refinement types, and techniques for analyzing timing channels. Professor Jhala teaches courses on Programming Languages (CSE 130) and Graduate Programming Languages (CSE 230), with extensive experience teaching compilers and verification topics. Professor Jhala advises several students including Alexander Bakst, Ben Cosman, and Marc Andrysco. Notable former students include Niki Vazou (Postdoc at Maryland), Ravi Chugh (University of Chicago), and Patrick Rondon (Google).
Klaus von Gleissenthall is a tenured Assistant Professor in Computer Science at Vrije Universiteit Amsterdam, affiliated with the Theory Group and VUSec security lab. He holds a joint appointment with CWI's Computer Security group. Previously, he was a post-doc at UCSD and completed his PhD at TUM under a Microsoft Research scholarship. His research integrates programming languages , security , and systems to develop formally verified, low-overhead solutions for hardware/software correctness. Key focus areas include: Side-channel attack mitigation via leakage contracts Refinement-type systems for hardware verification Byzantine fault tolerance in distributed systems Publications demonstrate strong emphasis on hardware security (45% of recent papers), formal methods (30%), and distributed systems (25%), with consistent appearances in top-tier venues (S&P, CCS, OOPSLA). Awards & Honors: ERC Starting Grant (€1.5M, 2024) Intel Hardware Security Award Honorable Mention (2020, 2024) Distinguished Paper Awards: CCS'23, OOPSLA'23, POPL'21 He advises four PhD students and two post-docs, supported by his ERC grant. Current projects include refinement types for hardware and pre-silicon leak detection. His lab collaborates with VUSec and CWI, focusing on scalable verification tools like LLVM Blade and methodologies for constant-time execution guarantees.
Nilu Goonetilleke, PhD serves as an Associate Professor of Medicine in the Department of Medicine at the University of North Carolina at Chapel Hill School of Medicine, specifically within the Division of Infectious Diseases. Her laboratory is located at 120 Mason Farm Road, GMB Level 2, Room 2017, CB# 7042, Chapel Hill, NC 27599. Dr. Goonetilleke's research program focuses on human T cell immunity in the context of infectious diseases. Her laboratory actively investigates T cell responses to HIV, chlamydia, and human cytomegalovirus (HCMV) infections, with additional collaborative work extending to type 1 diabetes and cancer research. The overarching goal of her research is to develop and evaluate novel vaccines and T cell-based therapeutics for preventing and controlling human diseases. Her work bridges fundamental immunology with translational applications, particularly in the realm of infectious disease prevention and treatment. Analysis of Dr. Goonetilleke's publication record reveals a strong focus on HIV pathogenesis and immunity, with significant contributions to understanding T cell responses during antiretroviral therapy. Her recent work has expanded into machine learning applications for identifying HIV reservoir biomarkers, CD8 T cell function assays, and exploring connections between cardiovascular disease and immunology. She maintains a consistent research trajectory centered on viral immunology while incorporating emerging methodologies like computational approaches to analyze complex immunological data. Dr. Goonetilleke's research has been supported through collaborative projects including The Flu Watch Study, a significant epidemiological cohort examining influenza transmission in community settings. Her laboratory appears to focus on developing and refining immunological assays, particularly those related to T cell function against viral pathogens. The group maintains active collaborations across multiple institutions, suggesting a well-integrated research program with both basic science and clinical applications.
Danel Ahman is an Associate Professor of Programming Languages at the Institute of Computer Science, University of Tartu, Estonia. He is a member of the Chair of Programming Languages and the Laboratory for Software Science (SWS). His academic journey includes postdoctoral positions at the University of Ljubljana and Inria Paris, as well as research internships at Microsoft Research. Education: PhD in Theoretical Computer Science, University of Edinburgh (2012-2017), thesis: "Fibred Computational Effects" MPhil in Advanced Computer Science, University of Cambridge (2011-2012), thesis: "Computational effects, algebraic theories and normalization by evaluation" BSc in Informatics, Tallinn University of Technology (2007-2010), Cum Laude Danel Ahman's research focuses on programming languages, their design and semantics. He is particularly interested in dependent and refinement types, computational effects (especially algebraic effects, effect handlers, and runners), modal types for verifying temporal resource usage, and category-theoretic denotational and operational semantics. His work bridges theoretical foundations with practical applications in verified software development, exploring how programming language features can ensure correctness while maintaining expressiveness and efficiency. His recent publications demonstrate a consistent focus on computational effects, modal types, and verified programming. The trajectory shows increasing sophistication in handling temporal resources and asynchronous effects, with several papers published in top programming languages conferences (POPL, ICFP) and journals. His work often combines theoretical category-theoretic foundations with practical implementations, particularly using the F* verification language. Scientific Awards: 2025: Estonian Research Council grant on "Explainable Verification" (co-investigator) 2024: EuroProofNet COST Action Short-Term Scientific Missions to University of Ljubljana 2019: Horizon 2020 Marie Skłodowska-Curie Individual Fellowship 2018: 1st prize at the Estonian Ministry of Education and Research dissertations competition 2012: Google prize and Citrix prize for best research dissertation at University of Cambridge Ahman actively supervises graduate students and has served on numerous program committees for programming languages conferences. His grant portfolio includes significant funding for research on programming language foundations and verification. He collaborates extensively with researchers across Europe and the US, particularly in the F* verification ecosystem and effect handler communities. He is a key member of the Laboratory for Software Science at the University of Tartu, contributing to research on programming language theory and verified software development. His work intersects with several research groups focusing on formal methods, programming language design, and software verification.
Mary Kinkel is an Associate Professor of Developmental Biology in the Department of Biology at Appalachian State University. Her research focuses on vertebrate developmental biology, particularly the patterning of the endodermal germ layer and pancreas development using zebrafish models. Education: PhD, School of Biomedical Sciences, Kent State University, OH MA, Biological Anthropology, Kent State University, OH BA, Anthropology, University of South Florida Dr. Kinkel's research centers on understanding how pancreas cell types are specified, how organ size is determined, and how the pancreas is correctly localized within the embryo. Her work particularly focuses on pancreatic beta cells, which synthesize and secrete insulin and play a critical role in blood sugar control. She employs zebrafish as a model organism, utilizing genetic tools including transgenic and mutant fish lines. Her research has significant implications for understanding diabetes, as beta cell failure is the ultimate cause of all types of diabetes. Analysis of her publication history reveals a clear research trajectory from anthropological studies in the early 1990s to specialized developmental biology with a focus on pancreatic development and beta cell formation. Her most recent work (2017-2019) continues to build on her expertise in zebrafish models for pancreatic disease and larval rearing methods, demonstrating sustained research activity in her field. Dr. Kinkel's laboratory investigates the molecular mechanisms of endoderm patterning, with particular emphasis on retinoic acid signaling, Cyp26 enzymes, and Cdx4 factors in determining pancreatic field size and localization. Her research integrates multiple signaling pathways including canonical Wnt signaling to refine models of endoderm development. Her professional experience includes positions as Associate Scientist/Assistant Professor at Sanford Research Center/University of South Dakota and Research Associate (Assistant Professor) at The University of Chicago, following postdoctoral training at the same institution.
Bente Baseler is a Lecturer for Type Design at the Muthesius Academy of Fine Arts in Kiel, Germany, affiliated with the Communication Design department. Her office is located in the Old building (Legienstr. 15, Room L.03.17), and she can be contacted via email at baseler@muthesius.de or telephone at +49 431 5198 483. As part of Schleswig-Holstein's only art school, she contributes to the academy's project-based pedagogy emphasizing artistic freedom and interdisciplinary collaboration within a diverse international community. Her academic specialization centers on Type Design, encompassing the creation and technical refinement of typefaces and typographic systems. This field intersects with broader visual communication practices, focusing on readability, aesthetic expression, and functional application in both digital and print media. Her work supports the Communication Design program's mission to integrate theoretical knowledge with practical, client-oriented projects.
Panagiotis (Pete) Manolios is a Professor in the Department of Computer Science within Northeastern University's College of Engineering in Boston. He leads the Northeastern University Formal Methods (NUFM) research group and maintains an active research program with multiple current PhD students. His primary affiliation is with the College of Computer Science (CCS) at Northeastern University, where he holds a tenured faculty position. Manolios' research focuses on formal methods with particular emphasis on program verification, theorem proving, and safety analysis of systems. His work spans several key areas including floating-point program analysis, resource-aware program verification, protocol verification, and safety-critical systems. He has developed significant tools and methodologies such as ACL2s (a powerful theorem prover) and pioneered approaches for analyzing numeric stability in compiler optimizations. His recent publications demonstrate substantial activity in formal verification, with particular focus on numeric stability analysis, invariant discovery through gamification, and model-based safety analysis of complex system architectures. These works reflect a consistent research trajectory toward making formal verification more practical and applicable to real-world systems, especially those with safety-critical requirements. Manolios has received recognition through multiple NSF grants including the SaTC: CORE: Medium collaborative project on bridging the gap between protocol design and implementation. His work on confidentiality and integrity of deep neural networks represents cutting-edge research at the intersection of formal methods and AI security. He has successfully mentored numerous PhD students who have gone on to positions at major technology companies including Google, Facebook, Intel, and MathWorks. His students' dissertations cover diverse topics within formal methods, from rank-polymorphic programming languages to resource-aware program analysis. Manolios directs several significant research projects including ACL2s (a powerful theorem prover), CID: Confidentiality and Integrity of Deep Neural Networks, Compilation-Dependent Security Properties of Software, and Platform Dependencies of Floating-Point Programs. These projects address fundamental challenges in making formal verification more practical and applicable to real-world systems.
