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Cock van OosterhoutView profile

Professor

University of East AngliaUnited Kingdom

Cock van Oosterhout is a Professor of Evolutionary Genetics at the University of East Anglia (UEA), UK. He is Deputy Director of the Earth and Life Systems Alliance (ELSA) and a member of the Centre for Ecology, Evolution and Conservation. His academic journey includes a PhD from Leiden University (Netherlands) and postdoctoral work at the University of Hull (UK). He has held roles from Post-doc to Reader before becoming a Professor in 2015. Research Interests: Evolutionary and population genetics of birds, fish, insects, plants, fungi, and oomycetes; recombination, hybridization, and introgression in genomics; immune gene evolution (MHC); software development (e.g., Micro-Checker, Hybrid-Check, Gyro-Scope). Recent Projects: Conservation genomics of endangered birds (Royal Society-funded). Pesticide-resistance gene evolution in aphids (Biotechnology and Biological Sciences Research Council). Adaptive evolution in polar diatoms (Leverhulme Trust). Teaching & Supervision: Teaches modules in Ecological Modelling and Evolutionary Biology. Supervises UG/MSc/PhD students in computational modelling and bioinformatics. Collaborates on marine biology projects in Tobago. Labs/Teams: Leads research at Norwich Research Park, collaborating with institutions in the UK and globally. Active in conservation initiatives for species like the pink pigeon and Mauritius birds.

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Ying WangView profile

Associate Professor

Max Planck Institute for Security and PrivacyGermany

Dr. Ying Wang is an Associate Professor and doctoral supervisor at the Software College of Northeastern University (China), where she has been working since February 2019. She serves as Assistant Dean at the School of Software and is an active member of several CCF committees including the System Software Committee, Software Engineering Committee, Open Source Development Committee, and Women's Committee. Dr. Wang received her Ph.D. in Software Engineering from Northeastern University in January 2019 under the supervision of Professor Zhiliang Zhu. She completed postdoctoral research at the Hong Kong University of Science and Technology (HKUST) from 2022 to 2023 under Professor Shing-Chi Cheung and was a visiting scholar at Microsoft Research Asia through the StarTrack Program in 2021. Her research focuses on intelligent software development technologies, large AI models, open source software big data analysis, and software supply chain security. She has made significant contributions to the governance of open source software ecosystems across multiple programming languages including Java, C#, Python, Go, JavaScript, Android, and Rust. Her work has led to the development of practical tools like 'League of Legends' for monitoring dependency defects in open source ecosystems, with several technologies commercialized by Huawei and Microsoft. Dr. Wang's recent publications demonstrate her expertise in cross-language dependencies, software component analysis, software refactoring, and the application of large language models in software engineering. Her work spans both theoretical foundations and practical applications, with a strong emphasis on real-world impact through industry collaboration. Among her notable achievements are the ACM SIGSOFT Distinguished Paper Awards at ICSE 2021 and ESEC/FSE 2023, making her the first researcher from Northeastern University to receive this honor. She has also received multiple awards for her doctoral dissertation and prototype implementations. Dr. Wang actively contributes to the academic community as an Associate Editor for IEEE Transactions on Software Engineering and serves on program committees for top conferences including ASE, ICSE, and ESEC/FSE. She mentors a large group of doctoral and master's students, with many alumni securing positions at major technology companies including Huawei, Microsoft, Alibaba, and Tencent.

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David LoView profile

Professor

Max Planck Institute for Security and PrivacyGermany

David Lo is the OUB Chair Professor of Computer Science and the founding Director of the Center for Research in Intelligent Software Engineering (RISE) at Singapore Management University. He has held significant leadership roles including General Chair of MSR'22 and ASE'16, and Program Committee Co-Chair for ASE'20, FSE'24, and ICSE'25. Lo has championed the field of AI for Software Engineering (AI4SE) since the mid-2000s, demonstrating how data mining, machine learning, information retrieval, natural language processing, and search-based algorithms can transform software engineering data into actionable insights and automation. His research spans Mining Software Repositories (MSR), large language models for code, software testing, smart contract analysis, and developer tooling. His recent publications reveal a strong focus on the intersection of large language models and software engineering, with particular attention to code generation, evaluation, documentation, and the practical implications of AI tools for developers. His work increasingly addresses economic efficiency, privacy concerns, and human factors in AI-assisted development. Two Test-of-Time awards Eleven ACM SIGSOFT/IEEE TCSE Distinguished Paper awards ACM Fellow IEEE Fellow ASE Fellow National Research Foundation Investigator (Senior Fellow) Lo has supervised numerous students and collaborated extensively across the software engineering community. His work on Mining Software Repositories has led to practical tools and insights that have shaped the field. He regularly contributes to major conferences and has served in leadership roles across ASE, ICSE, and FSE communities. As founding Director of the Center for Research in Intelligent Software Engineering (RISE) at SMU, Lo leads a research group focused on advancing AI techniques for software engineering problems, with emphasis on practical applications that address real developer pain points.

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Yi LiView profile

Associate Professor

Max Planck Institute for Security and PrivacyGermany

Yi Li is an Associate Professor at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. He leads the Software Reliability and Security Lab (SRSLab@NTU) which focuses on program analysis and automated reasoning techniques for software engineering and security applications. Dr. Li received his BComp degree in Computer Science from the National University of Singapore in 2011, followed by MSc (2013) and PhD (2018) degrees in Computer Science from the University of Toronto. His educational background has positioned him at the forefront of software reliability research. His research interests span software engineering, program analysis, automated reasoning, and formal methods, with particular focus on software reliability, security, and smart contract analysis. Dr. Li's work develops practical solutions for constructing high-quality software systems that are both reliable and sustainable. His research has identified critical issues in API documentation, smart contract security, program termination, and library compatibility across multiple programming ecosystems. Dr. Li's publications demonstrate consistent contributions to software engineering research over the past five years, with recent work focusing on smart contract analysis, API documentation verification, and program termination detection. His research methodology often combines static and dynamic analysis techniques with machine learning approaches to address challenging problems in software reliability and security. Five ACM Distinguished Paper Awards at top conferences Two Best Artifact Awards recognizing research reproducibility Publications at premier venues including ASE, ISSTA, FSE, and ICSE Dr. Li actively contributes to the software engineering community through service on program committees of flagship conferences (ICSE, FSE, ASE, ISSTA) and co-chairing program committees for ICFEM'23, ICECCS'20, SEAIS'22, and ICFEM'19 Doctoral Symposium. His lab, SRSLab@NTU, has developed multiple influential tools including InvCon, DocCon, and EndWatch, while fostering research in software reliability and security for emerging technologies.

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Darko MarinovView profile

Professor

Max Planck Institute for Security and PrivacyGermany

Darko Marinov is a Professor in the Siebel School of Computing and Data Science at the University of Illinois Urbana-Champaign, where he conducts research focused on improving software quality through advanced testing techniques. His work addresses fundamental challenges in software testing including flaky tests, regression test prioritization, and configuration testing. Dr. Marinov's research interests span multiple areas of Software Engineering , with particular emphasis on: Software Testing and Quality Assurance Regression Test Prioritization and Selection Flaky and Non-Deterministic Tests Configuration and Variability Testing Test Suite Optimization Software Reliability and Defect Detection His extensive publication record demonstrates consistent contributions to the field, with research trends showing evolution from foundational testing techniques to addressing modern challenges in software testing, particularly focusing on reliability issues in continuous integration environments and the growing complexity of test suites in large software systems. Dr. Marinov has received numerous prestigious awards recognizing the impact of his work: Two ACM SIGSOFT Impact Paper awards (2012, 2019) ASE Most Influential Paper Award (2015) FSE Test-of-Time Honorable Mention (2024) Seven ACM SIGSOFT Distinguished Paper awards CHI Best Paper Award (2017) Elected Fellow of Automated Software Engineering (2023) His research has been generously supported by major technology companies and government agencies including NSF, Boeing, Facebook, Google, Huawei, IBM, Intel, Microsoft, Qualcomm, Samsung, and SRC. Dr. Marinov actively contributes to the academic community through conference organization, serving as Area Chair for ASE 2025 and Program Committee member for multiple conferences including FSE 2026. His mentoring excellence has been recognized through various awards, highlighting his commitment to guiding the next generation of software engineering researchers.

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Ida MoltkeView profile

Associate Professor

University of CopenhagenDenmark

Ida Moltke is an Associate Professor in the Department of Biology at the University of Copenhagen's Faculty of Science, specializing in Computational and RNA Biology. She leads a research group focused on developing and applying statistical and computational methods to genomic data. Her work spans both population genetics and medical genetics, with particular emphasis on human evolution, population history, and identifying genetic variants associated with diseases like type 2 diabetes. Current position: Associate Professor (Promotion Programme), Department of Biology, University of Copenhagen (2024-present) Previous positions: Associate Professor (2020-2024), Assistant Professor (2015-2019) Education: PhD in Biology (2011), MSc in Bioinformatics (2007), BSc in Computer Science and Math (2005), all from University of Copenhagen Dr. Moltke's research focuses on developing novel bioinformatics tools to analyze genomic data, with applications in understanding human evolution and identifying genetic factors in diseases. Her group has made significant contributions to studying Greenlandic populations and their unique genetic architecture. She has developed several widely used software packages including NgsRelate, localNgsRelate, and RelateAdmix for analyzing relatedness from low-coverage sequencing data. Her recent publications span diverse topics from human population history to conservation genomics of endangered species. Notable work includes studies on genetic architecture in Greenlandic populations, analysis of the saola genome, and research on diabetes genetics. Her research has been published in high-impact journals including Nature, Cell, and Nature Communications. Carlsberg Foundation Young Researcher Fellowship (2021-2025) ERC Starting Grant (2019-2023) Villum Young Investigator Award (2019-2024) L'Oréal-UNESCO For Women in Science Award (2016) SSSD Young Investigators Award (2015) Sapere Aude: DFF Young Elite Researcher Award (2012) Dr. Moltke actively mentors students, with her PhD student Frederik winning multiple awards including the Charles J. Epstein Award. She serves on PhD committees at multiple institutions and has organized numerous scientific meetings including EMBO conferences. Her group has developed multiple bioinformatics tools that are widely used in the field for analyzing relatedness from low-coverage sequencing data.

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Michael LandisView profile

Assistant Professor

Washington University in St. LouisUnited States

Michael Landis is Assistant Professor of Biology at Washington University in St. Louis, developing statistical models and computational tools to reconstruct evolutionary patterns. Research integrates phylogenetics, biogeography, and trait evolution to study historical biodiversity dynamics across deep timescales. Key research areas: Developing Bayesian methods for phylogenetic biogeography Modeling biome shifts and diversification patterns Creating open-source software for evolutionary analysis (RevBayes, phyddle) Reconstructing ancestral networks for pierid butterflies Recent work includes novel approaches for state-dependent diversification modeling, deep learning applications in phylogenetics, and global-scale analyses of butterfly evolution. The lab emphasizes collaborative software development and evolutionary hypothesis testing.

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Jeffrey KramerView profile

Professor

Graz University of TechnologyAustria

Professor Jeffrey Kramer is a distinguished academic at Imperial College London, where he currently serves as Professor in Distributed Computing within the Department of Computing, Faculty of Engineering. With a career spanning over four decades at Imperial College, he has held numerous leadership positions including Senior Dean (2009-2012), Dean of the Faculty of Engineering (2006-2009), and Head of the Department of Computing (1999-2004). Professor Kramer's research focuses on software engineering, particularly in distributed computing, requirements engineering, software architecture, and self-managing adaptive systems. His work on the Darwin Software Architecture led to commercial implementation by Philips in consumer television products. He has been a principal investigator in research projects developing the CONIC and DARWIN environments for distributed programming. His publication portfolio includes over 200 refereed journal and conference papers along with two influential books: 'Distributed Systems and Computer Networks' (1986) and 'Concurrency: State Models & Java Programs' (1999, 2nd ed. 2006). His most cited works address software architecture, dynamic reconfiguration, and adaptive systems, demonstrating a consistent research trajectory focused on foundational aspects of distributed software systems. FREng Fellow of the Royal Academy of Engineering (2008) ACM SIGSOFT Outstanding Research Award (2005, joint with Prof. Magee) ACM SIGSOFT Distinguished Service Award (2011) Editor-in-Chief of IEEE Transactions on Software Engineering (2006-2009) Most Influential Paper Award at ICSE 2003 IEE Informatics Premium prize (1998/99) Professor Kramer has served on over 50 international conference committees in the last decade and has delivered numerous keynote addresses globally. His industrial collaborations include work with BP, BT, NATS, Fujitsu, Barclays Capital, QinetiQ, Kodak, Microsoft, and Philips. He has also served as an expert witness for major law firms and has been involved in numerous research collaborations and consulting engagements.

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Anil SomayajiView profile

Associate Professor

Carleton UniversityCanada

Anil Somayaji is an Associate Professor in the School of Computer Science at Carleton University, serving as Associate Director of the Carleton Internet Security Lab (CISL). He holds a Ph.D. from the University of New Mexico (2002) and a B.S. in Mathematics from MIT. His research integrates biological principles with computer security, focusing on software diversity, Linux technologies like eBPF, and adaptive defense mechanisms inspired by the human immune system. Teaching responsibilities include courses such as Fundamentals of Web Applications (COMP 2406), Operating Systems (COMP 3000), and Distributed Operating Systems (COMP 4000/5102). He also leads graduate courses on Operating System/Web Security and Biological Approaches to Computer Security. Current advisees include Lavesh Kamalesh (MHCI), Savannah Sidle (MHCI), and John Shortt (PhD, co-supervised). Research interests span computer security, operating systems, intrusion detection, complex adaptive systems, and artificial life. Notable projects include ebpH (a Linux security tool) and contributions to program committees for the New Security Paradigms Workshop. His work emphasizes practical applications of theoretical concepts, such as using eBPF for runtime process confinement and developing context-aware authentication systems. He collaborates with the Carleton Cyber Security Lab (CCSL) and maintains active engagement in interdisciplinary cybersecurity initiatives. His lab focuses on mitigating vulnerabilities through diversity-based approaches and advancing secure system design principles.

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Christian SteglichView profile

Associate Professor

University of GroningenNetherlands

Dr. Christian Steglich is an Associate Professor in the Department of Sociology at the University of Groningen's Faculty of Behavioural and Social Sciences. His research focuses on stochastic network modeling, social networks, and adolescent behavior, with particular emphasis on peer influence, friendship dynamics, and network co-evolution. He is part of the SIENA software development team for dynamic network analysis. Research Interests: Mathematical sociology and network dynamics Adolescent social networks and behavior Stochastic modeling and statistical inference Interorganizational networks and gender dynamics Missing data methodologies and network imputation Recent Articles: Focus on Chinese adolescents' friendship dynamics, networked solidarity economies, and longitudinal network behavior interactions. His work bridges theoretical modeling with empirical applications in education, health, and organizational contexts. Scientific Awards: William D. Richards Jr. Software Award (2017) 2013 Awards for prosocial relationships and child social development research Grants/Advising: Extensive ERC panel involvement and collaborations on youth behavior and network interventions. Supervised 7 research projects focusing on peer networks and academic outcomes. Labs/Teams: Active in interdisciplinary research teams at the University of Groningen, focusing on social network analysis methodologies and their applications in diverse fields.

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Sam MalekView profile

Professor

University of California, IrvineUnited States

Sam Malek is a Professor in the Department of Informatics at the University of California, Irvine (UCI), and Director of the Software Engineering and Analysis Lab (SEAL). He holds a B.S. from UCI (2000) and M.S./Ph.D. from the University of Southern California (2004/2007). His research focuses on software engineering, security, accessibility, and self-adaptive systems, emphasizing tools for large-scale software analysis and protection. Malek has received prestigious awards, including the ACM SIGSOFT Test of Time Award (2020) and NSF CAREER Award (2013). His work bridges technical and human factors in cybersecurity, leveraging interdisciplinary approaches in the Donald Bren School of Information and Computer Sciences. Malek leads the Institute for Software Research (ISR) and has been funded by agencies like the Department of Defense, Department of Homeland Security, and NSF. His lab develops frameworks such as FUSION for self-adaptive systems and tools like Ma11y for accessibility testing. He also directs GAANN-funded cybersecurity initiatives to strengthen graduate education. Malek’s contributions span academic leadership, including editorial roles for top journals and expert testimony in intellectual property litigation. Research interests include secure software architectures, mobile computing vulnerabilities, and inclusive technology. His work addresses socio-technical challenges, such as balancing human behavior with technical safeguards against cyberattacks. Malek actively recruits Ph.D. students in software engineering to advance these critical areas.

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Maria Ribera SanchoView profile

Professor

Polytechnic University of CataloniaSpain

Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.

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Uri GalView profile

Professor

University of SydneyAustralia

Professor Uri Gal is a Professor of Business Information Systems at the University of Sydney Business School. His research focuses on the ethical and organizational impacts of digital technologies, particularly algorithmic decision-making, surveillance technologies, and social media. He holds a PhD from Case Western Reserve University and has authored numerous publications in top-tier journals like European Journal of Information Systems and Information and Management . His research interests include the ethical implications of technology, the relationship between people and technology, and workplace transformations driven by algorithmic systems. Professor Gal has conducted studies on AI in education, social media marketing for universities, and privacy concerns in IoT and surveillance technologies. His work frequently addresses societal challenges such as misinformation, algorithmic bias, and data governance. Professor Gal is actively engaged in media commentary, discussing topics like data privacy, AI ethics, and digital surveillance with outlets such as Quartz , The Conversation , and Australian Financial Review . He has also contributed to grants focusing on enterprise social platforms and digital transformation, including the Australian Digital Transformation Lab (ADTL). Education: PhD in Information Systems, Case Western Reserve University Grants: Includes 'Evidence-based Management for Enterprise Social Platform Success' (2016) and ADTL initiatives Labs/Teams: Australian Digital Transformation Lab

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Diomidis SpinellisView profile

Professor

Athens University of Economics and BusinessGreece

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.

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Alexis KirkeView profile

Academic

University of PlymouthUnited Kingdom

Dr Alexis Kirke is a Senior Research Fellow in Computer Music at the School of Art, Design and Architecture (Faculty of Arts, Humanities and Business) at the University of Plymouth. As a composer-in-residence, he specializes in interdisciplinary research at the intersection of music, computing, and healthcare. His work includes developing adaptive music systems like RadioMe for dementia care, applying quantum computing to music composition, and exploring affective computing through brain-computer interfaces. Teaching roles include associate lecturer positions in modules such as Collaborative Practice (BA Sound and Music Production), Psychology (BA Music), and MRes Computer Music. He has supervised five PhD students as a second supervisor and served as an internal PhD examiner. His research focuses on algorithmic composition, music technology for healthcare, quantum computing applications in music, and multi-agent systems inspired by natural phenomena like humpback whale song evolution. Recent projects include the Plymouth Marine Institute collaboration and the Cloud Chamber performance involving real-time interaction with subatomic particles. Key contributions include innovative systems like RadioMe, which combines adaptive radio with reminder systems for dementia patients, and Q-Muse, a quantum computer music system. His work bridges computational creativity with human-centric applications, emphasizing ethical and accessible technology. Grants & Awards: No specific awards listed, but active in collaborative research projects Lab/Teams: Plymouth Marine Institute, Cloud Chamber Project

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