Find Academic Supervisors

Sarah E. ChasinsView profile

Assistant Professor

• Programming Languages
• Human-Computer Interaction
• Program Synthesis
• +3 more

Sarah E. Chasins is an Assistant Professor at the University of California at Berkeley , affiliated with the College of Engineering and Department of Electrical Engineering and Computer Sciences . She leads the PLAIT Lab (Programming Languages for Approachable and Inclusive Tools), with additional affiliations at the Berkeley Institute for Data Science (BIDS) and collaborations across disciplines. Her research focuses on democratizing programming through Program synthesis Human-Computer Interaction for programming languages Tools for non-traditional programmers Embedded domain-specific language design Web automation frameworks She has developed systems like Ringer for browser automation and Skip Blocks for execution history reuse. Recent publications highlight trends in Direct manipulation programming Synthesis-backed refactoring Sequence-to-tree code search DSL usability for domain experts Functional programming practices Web script optimization She has advised numerous graduate and undergraduate researchers, including: Current PhD students: Justin Lubin, Eric Rawn, Parker Ziegler Alumni: Gabriel Matute (MSc), Rebecca Hicke (undergraduate) Her service includes committee roles at top conferences like OOPSLA, PLDI, and PLATEAU, as well as teaching courses on CS164: Programming Languages and Compilers CS294-184: Building User-Centered Programming Tools CS39-001: Technology, Society, and Power

• Software Engineering
• Developer Productivity
• IDE Interaction Analysis
• +3 more

Andrea Mocci is a Lecturer at the Faculty of Informatics of the Università della Svizzera italiana (USI). His work focuses on software engineering methodologies, developer productivity, and IDE interaction analysis. He is affiliated with the Software Institute and actively contributes to academic events such as the IEEE International Workshop on Mining and Analyzing Interaction Histories (MAINT). His research explores empirical software engineering techniques, including developer behavior analysis, code documentation improvement, and the application of natural language processing to software artifacts. Key areas of investigation include: IDE interaction and navigation efficiency Code redundancy and quality metrics Video tutorial analysis for educational content Runtime systems and annotation APIs Defect prediction and software maintenance Publications from 2016-2020 highlight trends in developer-centric tools, holistic recommender systems, and visualization techniques for software evolution. His work often bridges theoretical formal methods with practical developer workflows, aiming to improve both software quality and developer productivity through empirical studies and tool development.

• Ontology Engineering
• Knowledge Representation
• Natural Language Processing
• +4 more

Dr. C. Maria Keet is a Professor in the Department of Computer Science at the University of Cape Town, South Africa. With a PhD from the Free University of Bozen-Bolzano (2008), she has established herself as a leading researcher in ontology engineering and multilingual natural language processing, particularly for African languages. Her research interests span Ontology Engineering , Knowledge Representation , Natural Language Processing for African languages (especially isiZulu), Conceptual Data Modeling , and Temporal Data Modeling . She has developed significant frameworks for ontology modularization, competency questions, and multilingual knowledge representation. Her work bridges theoretical computer science with practical applications for linguistic diversity in Africa, addressing the critical need for technology that serves low-resourced languages. Her recent publications (2023-2025) reveal a strong focus on advancing ontology engineering methodologies, improving multilingual language processing capabilities, and developing tools for temporal data modeling. She has pioneered approaches for representing African languages in computational systems, with particular attention to noun classification, verb conjugation, and part-whole relations in Bantu languages. Dr. Keet has made substantial contributions to educational resources in her field, including her 2023 book The What and How of Modelling Information and Knowledge - From Mind Maps to Ontologies , which serves as a comprehensive guide to knowledge representation techniques. She actively supervises graduate students and has developed in-house tools specifically for ontology engineering education, demonstrating her commitment to advancing both research and teaching in her field.

Eunjee SongView profile

Associate Professor

• Software Engineering
• Aspect-Oriented Modeling
• Software Security
• +3 more

Eunjee Song is an Associate Professor and Graduate Program Director in the Department of Computer Science at Baylor University, Waco, Texas. She joined Baylor in 2006 and has held positions ranging from Lecturer (2006-2007) to Assistant Professor (2007-2013), Associate Professor (since 2013), and Graduate Program Director (2017-2021, 2023-current). PhD (2006) and MS (2001) in Computer Science from Colorado State University BS in Computer Engineering (1991) and Architecture (1988) from Seoul National University Her research focuses on software engineering , particularly aspect-oriented modeling for software security. Key interests include model-driven engineering , software verification , formal methods , and adaptive control of real-time systems . Her work often integrates property formalization and model verification for high-confidence systems. Recent publications emphasize hybrid access control systems , testability frameworks , and adaptive user interfaces , reflecting her expertise in model-driven security solutions . She has co-authored 15+ papers, with several appearing in SCI-indexed journals. Best Conference Paper Award at RACS 2012 She has advised 13 graduate students (PhD and MS) since 2007, including collaborations with Dr. Tomas Cerny (University of Arizona) and Dr. David Lin (SMU). Courses taught include Advanced Software Engineering, Software Verification & Validation, and Software Quality Assurance.

Xing ZhangView profile

Researcher

• Bidirectional Programming
• Live Programming
• Object-Oriented Programming
• +3 more

Xing Zhang is a researcher at Peking University specializing in bidirectional programming paradigms and live programming systems. Their work bridges programmatic and direct manipulation approaches, focusing on object-oriented and functional programming environments. Research interests span: Bidirectional Program Transformation Live Programming Environments Direct Manipulation Interfaces Interactive Code Development Software Engineering Tools Language Design for Incremental Computation Key contributions include: 2024: PLDI Artifact Evaluation Committee member 2023: OOPSLA paper on bidirectional object manipulation 2023: LazyBiEval system for partial program updates 2022: ICSE work on incomplete program handling GitHub projects demonstrate prototype implementations of bidirectional programming systems, including BiOOP and FuseDM frameworks.

Andreea CosteaView profile

Assistant Professor

• Programming Languages
• Software Verification
• Automated Program Repair
• +4 more

Andreea Costea is an Assistant Professor in the Programming Languages Group within the Faculty of Electrical Engineering, Mathematics & Computer Science (EEMCS) at Delft University of Technology. She joined TU Delft in October 2024 after completing her PhD at the School of Computing, National University of Singapore (NUS), where she worked in the Programming Languages and Software Engineering lab collaborating with the Automated Program Repair team, Trustworthy and Secure Software group, and VERSE lab. Her primary research focuses on programming languages design and implementation, with particular emphasis on software verification for critical code, program synthesis, and automated program repair. She maintains strong connections with industry while pursuing formal methods research, especially in the context of Rust programming language safety and interoperability. Dr. Costea's publication record demonstrates consistent contributions to software engineering and programming languages research, with recent work focusing on automated program repair techniques, Rust language safety mechanisms, and communication protocol verification. Her research shows a clear trajectory from theoretical foundations in session types and separation logic toward practical applications in memory safety and program repair. She actively serves the research community as Program Committee member for major conferences including ASE, ICSE, ICFP, and APLAS. Her service includes chairing publicity committees for SPLASH and artifact evaluation for ESOP. Regular Journal Reviewer: CACM, TOSEM, TSE Panel discussions: PLMW @ POPL'22, PLDI'21, PLMW @ PLDI'21, POPL'21 Extensive reviewing for top-tier conferences including POPL, OOPSLA, CAV, VMCAI Dr. Costea supervises multiple Master's students working on Rust-related safety projects and is actively recruiting PhD students to work on software interoperability, particularly focusing on how to restore Rust's safety guarantees when integrating with legacy C code and ensuring correct interaction between components written in different languages.

• Synthetic Biology
• Polyketide Synthases
• Bioengineering
• +5 more

Dr. Constance Bailey is a Senior Lecturer and group leader in the School of Chemistry at the University of Sydney . She holds affiliations with the Centre for Drug Discovery Innovation and the Sydney Nano Institute . Her research focuses on synthetic biology applications of polyketide synthases, cell-free protein synthesis, and metabolic engineering for natural product discovery. Bailey earned a B.A. from Reed College (2010), a PhD from the University of Texas at Austin (2015), and completed a NIH Postdoctoral Fellowship at UC Berkeley and Lawrence Berkeley National Laboratory (2016-2018). Research Interests Her work integrates in vitro systems with microbial engineering to advance biosynthetic pathway design. Key areas include: - Engineering polyketide synthases for targeted biofuel/chemical production - Optimizing cell-free protein synthesis platforms for nonribosomal peptides - Investigating metabolic crosstalk in prokaryotes - Discovering novel antibiotics via actinomycete genomics Grants & Awards - 2024: SABA Program Funding - 2023: Sydney ID Seed Grant for antibiotic discovery - NIH Postdoctoral Fellowship (2016-2018) Lab & Collaborations Bailey's CBBaileyLab develops synthetic biology tools for sustainable chemical production. Her team collaborates with institutions like the Joint BioEnergy Institute and the Lawrence Berkeley National Lab.

Luigi BenedicentiView profile

Professor

• Software Agents
• Software Process Improvement
• New Media Technology
• +3 more

Dr. Luigi Benedicenti is a Professor and Dean of the Faculty of Computer Science at the University of New Brunswick. He holds a Laurea in Electrical Engineering and a Ph.D. in Electrical and Computer Engineering from the University of Genoa, Italy. A licensed Professional Engineer in Saskatchewan and an Italian-licensed Engineer, he collaborates extensively with TRLabs and IEEE, engaging in global research partnerships across Europe, Southeast Asia, and North America. His research focuses on three core areas: Software Agents, Software Process Improvement, and New Media Technology. Current work emphasizes unifying distributed digital service platforms, optimizing delivery across devices and locations. Benedicenti's recent studies explore emotional contagion in open-source collaborations, agile methodologies in mission-critical systems, and decision-support frameworks for software development. Publications highlight themes like emotional dynamics in agile teams, optimization in manufacturing processes, and adaptive frameworks for defense software. His work bridges theoretical models with practical applications in security-critical systems and ubiquitous computing environments. Professional contributions include leadership roles in advancing software engineering practices and fostering interdisciplinary collaboration. His research integrates technical innovation with human-centric design principles to address complex challenges in modern software ecosystems.

Robert WalkerView profile

Professor

• Software evolution
• Software reuse
• Empirical software engineering
• +3 more

Robert Walker is a Professor and Assistant Head (Existing Graduate Students) in the Department of Computer Science at the University of Calgary. He holds degrees from the University of British Columbia including a B.S. in Computer Science (1994), B.S. in Geophysics (1992), M.S. in Computer Science (1996), and a Ph.D. in Computer Science (2003). His research focuses on software evolution, reuse, empirical software engineering, and aspect-oriented programming. Key awards include the Italian National Scientific Habilitation (2015) and ACM Distinguished Paper Awards (2012). He teaches courses like SENG 300 (Introduction to Software Engineering) and advanced topics in software evolution. His work addresses challenges in test code reuse from open source software and unanticipated evolution patterns in software product lines.

Edward F. GehringerView profile

Professor

• Advanced Learning Technologies
• Computer Architecture
• Operating Systems
• +5 more

Edward F. Gehringer is a Professor in the College of Engineering at North Carolina State University, holding appointments in both the Department of Computer Science and the Department of Electrical and Computer Engineering. His academic journey includes a Ph.D. in Computer Science from Purdue University (1979), an M.S. in Computer Science from Purdue (1974), and dual undergraduate degrees in Mathematics from the University of Detroit (Mercy) and Wayne State University (1972). Ph.D. in Computer Science, Purdue University (1979) M.S. in Computer Science, Purdue University (1974) B.S. in Mathematics, University of Detroit (Mercy) (1972) B.A. in Math/Computer Science, Wayne State University (1972) Gehringer's research spans Advanced Learning Technologies , Computer Architecture , Operating Systems , High-Performance Computing , and Software Engineering . He is a pioneer in AI-enhanced peer assessment systems and collaborative learning in computing education, with a focus on leveraging large language models (LLMs) for feedback automation, rubric generation, and test-skeleton creation. His work addresses challenges in student team formation, GitHub contribution analysis, and ethical computing. His publications highlight trends in AI-driven educational tools , peer-review systems , and software engineering pedagogy . Recent studies explore LLM applications for code refactoring, chatbot-assisted teaching, and GitHub analytics for predicting student performance. Earlier work includes foundational contributions to distributed pair programming (Sangam/FaceTop) and hardware-assisted memory management. Scientific Awards: Google Research Award (2014) Sloan Consortium Effective Practice Award (2008) NC State Gertrude L. Cox Award Honorable Mention (2007) Gehringer has led multiple NSF-funded projects, including Collaborative Research: Research in Student Peer Review ($1.07M, 2014–2019) and Production and Assessment of Student-authored Wiki Textbooks ($110K, 2010–2012). His Expertiza platform enables peer-reviewed learning objects and active learning in large classes. He has mentored numerous students, with research groups focusing on educational data mining, collaborative coding, and ethical computing.

Kalyanmoy DebView profile

Professor

• Multi-Objective Optimization
• Evolutionary Algorithms
• Genetic Algorithms
• +5 more

Kalyanmoy Deb is a Professor at the Department of Electrical and Computer Engineering, Michigan State University. Previously affiliated with Indian Institute of Technology Kanpur and Indian Institute of Technology Madras, he is a leading researcher in evolutionary algorithms and multi-objective optimization. Research Focus : Multi-Objective Optimization, Genetic Algorithms, Constraint Handling, Machine Learning-assisted Optimization Key Contributions : Development of NSGA (Non-dominated Sorting Genetic Algorithm) series, hybridization of machine learning with evolutionary algorithms, fidelity evaluation techniques Scientific Accomplishments : With over 347 publications and 19,618 citations, his work on NSGA algorithms has become foundational in evolutionary computation. His recent research explores mixed-fidelity evaluations, innovized knowledge extraction, and neural architecture search.

Federica SarroView profile

Professor

• Predictive Analytics for Software Engineering
• Search-Based Software Engineering
• Empirical Software Engineering
• +4 more

Federica Sarro is a Professor of Software Engineering at the Department of Computer Science, University College London (UCL). She leads the SOLAR group, focusing on Predictive Analytics, Search-Based Software Engineering, and Empirical Software Engineering. Her research emphasizes software testing, effort estimation, and app store analysis, with over 70 peer-reviewed publications and collaborations with 20+ institutions worldwide. Her research has been supported by grants including the €2.1M ERC EPIC grant and a £6.8M EPSRC Programme Grant (DAASE). She has supervised numerous PhD students and postdoctoral researchers, including graduated scholars like Afnan Al-Subaihin and William Martin. She is actively involved in program committees and editorial roles, including Associate Editor for ACM TOSEM and IEEE Transactions on Evolutionary Computation. Key achievements include the ACM Distinguished Paper Award (2019), the GECCO-HUMIES Medal (2016), and leadership roles in conferences like ICSE, FSE, and SSBSE. Her work bridges software engineering with machine learning and data analytics, addressing challenges in testing, defect prediction, and agile practices.

Pengyu NieView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Program Analysis
• +2 more

Dr. Pengyu Nie is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science. His research enhances developer productivity through machine learning techniques for software testing, code maintenance, and program analysis. Specific interests include execution-guided test completion, code-comment co-evolution, and multilingual programming systems. Current projects investigate LLM-based code editing in computational notebooks, multilingual code co-evolution, and test generation for exceptional behaviors. Research outputs include tools like pytest-inline for Python testing and Roosterize for Coq lemma suggestions. Awards include the Margarida Jacome Dissertation Award (2023) and ACM SIGSOFT Distinguished Paper Awards (2023, 2019). He leads the UW-SWaG research group and advises PhD/master's students on software engineering and ML projects.

Shin Hwei TanView profile

Associate Professor

• Automated Program Repair
• Open-source Software Development
• Software Testing
• +9 more

Shin Hwei Tan is an Associate Professor (Gina Cody Research Chair) at the Department of Computer Science and Software Engineering , Concordia University, Montreal, Canada. Previously, she worked as an Assistant Professor at the Southern University of Science and Technology (SUSTech) since June 2018. Her academic journey includes a PhD from the National University of Singapore under Abhik Roychoudhury and MS/BS degrees from the University of Illinois at Urbana-Champaign, co-advised by Darko Marinov and Lin Tan. Education: PhD in Computer Science (National University of Singapore, 2018) MS in Computer Science (University of Illinois at Urbana-Champaign, 2012) BS in Computer Science (University of Illinois at Urbana-Champaign) Her research interests span Automated Program Repair , Software Testing , Open-source Software Development , Genetic Improvement , Program Analysis , and Comment Analysis . She actively applies machine learning and formal methods to improve software reliability. Recent work includes LMDefects (Codex-generated bugs dataset), Droix (Android app repair), and Codeflaws (program repair benchmark). Her research outputs demonstrate expertise in automated patch generation , static analyzer testing , and quantum software verification . Key projects include Concoction (vulnerability prediction), SAScope (static analysis framework testing), and COMFUZZ (compiler fuzzing). She has secured significant grants including a NSERC Discovery Grant (2024–2028) and ECR Young Researcher Fund (2019). Scientific Awards: ACM-W Rising Star Award (2025) ICSE/SANER Distinguished Paper Awards (2023–2025) Google Anita Borg Memorial Scholarship (2015) David J. Kuck Outstanding MS Thesis Award (2013) Multiple Best Reviewer Awards She serves as General Chair for FSE 2026 , Guest Editor-in-Chief for TOSEM , and workshop co-chair for APR@ICSE series. Her teaching focuses on software engineering practices with real-world open-source projects. She also co-founded the ACM-W Montreal Professional Chapter in 2025.

Hironori WashizakiView profile

Professor

• Systems Engineering
• Software Engineering
• Machine Learning
• +3 more

Hironori Washizaki is a Professor at Waseda University 's School of Fundamental Science and Engineering and a Visiting Professor at the National Institute of Informatics. He serves as IEEE Computer Society 2025 President and has led initiatives in software engineering, ML design patterns, and IoT systems. His work bridges academia and industry through roles at SYSTEM INFORMATION CO.,LTD. and eXmotion Co., LTD. Research Interests: His work spans software engineering, quality assurance, ML/IoT design patterns, and education innovation. He leads the SmartSE professional education program and standardizes software engineering bodies of knowledge through ISO/IEC/JTC1/SC7/WG20 . Scientific Awards: Golden Core Member (IEEE CS) Spirit of Computer Society Award KDDI Foundation Award Science and Technology Award, MEXT Best Paper Awards at ICSE, CSEE&T, and IWESEP Leadership & Grants: He has secured major grants (JSPS, MEXT) and held editorial roles at IEEE Transactions on Emerging Topics in Computing, IJSEKE, and IEICE journals. As IEEE CS Japan Chapter Chair and SEMAT Japan Chapter Chair , he fosters international collaborations. Labs & Teams: He leads the Global Software Engineering Laboratory at Waseda, focusing on traceability, reuse, and quality. This lab drives projects like ProMeTA (program metamodel taxonomy) and Trace ANY (software maintenance metrics).