Python Ecosystem Compatibility Professors and Supervisors

Daniel Germanمشاهده پروفایل

استاد

University of VictoriaCanada

Dr. Daniel German is a Professor in the Department of Computer Science at the University of Victoria, part of the Faculty of Engineering and Computer Science. He holds a PhD from the University of Waterloo, specializing in software engineering and open source ecosystems. His research focuses on software evolution, open source development practices, intellectual property issues in software systems, and licensing compliance challenges in modern AI/ML environments. German has contributed extensively to understanding dependency management, developer workflows, and legal aspects of software development. His work includes seminal studies on code provenance tracking (e.g., Cregit), library dependency management, and the sociotechnical dynamics of open source communities like the Linux kernel and GitHub ecosystems. German has explored critical topics such as licensing inconsistencies in software projects, ethical implications of AI-generated code, and the integration of open source components into proprietary systems. He is actively involved in software engineering education, examining how students engage with open source projects and the challenges of maintaining code quality in large-scale distributed systems. German’s research has practical implications for both academic and industrial software development practices, addressing real-world issues like security vulnerabilities in dependency chains and the legal risks of AI training data usage.

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Cristiano Politowskiمشاهده پروفایل

استادیار

University of MontrealCanada

Software Engineering
Video Game Development
Artificial Intelligence for Software Engineering (AI4SE)
+۳ مورد دیگر

Cristiano Politowski is an Assistant Professor in the Department of Computer Science at Ontario Tech University's Faculty of Science. His research focuses on software engineering for video games, automated testing, AI4SE, and empirical studies. He holds a Ph.D. in Software Engineering from Concordia University (2022), an M.Sc. in Computer Science from Universidade Federal de Santa Maria (2017), and a B.Sc. in Computer Science from Universidade Regional do Estado do Rio Grande do Sul (2014). Prof. Politowski has extensive postdoctoral experience at Université de Montréal (GEODES group) and École de Technologie Supérieure (ÉTS), focusing on game engine architecture, requirements specification, and certifiable RTOS systems. He has organized workshops like ASE4Games 2021/2022 and FaSE4Games 2024, emphasizing game software engineering. His research interests span video game development challenges, software testing methodologies, and leveraging AI for software engineering. Notable projects include analyzing game engine subsystem coupling, assessing video game balance with autonomous agents, and curating datasets like PlayMyData. Prof. Politowski has secured $20K from MITACS for a 5G infrastructure project during the pandemic and received the Concordia Accelerator Award (2021). His work has been published in venues like MSR, ICSE, and IEEE Transactions.

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Ying Wangمشاهده پروفایل

دانشیار

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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Massimiliano Di Pentaمشاهده پروفایل

استاد

University of SannioItaly

Massimiliano Di Penta is an Ordinary Professor in the Department of Engineering (DING) at the University of Sannio . His research focuses on Software Engineering , Code Obfuscation , Software Security , and Empirical Software Engineering , with a strong emphasis on Open-Source Systems and Machine Learning in Software Development .

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Qian Zhaoمشاهده پروفایل

استادیار

University of Texas at DallasUnited States

Qian Zhao is an Assistant Professor of Soil Biogeochemistry at the School of Natural Sciences and Mathematics , University of Texas at Dallas . Their research focuses on soil carbon dynamics, mineral-organic matter interactions, and environmental geochemistry. Zhao holds a Ph.D. in Environmental Engineering from the University of Nevada Reno (2017), an M.S. from Oklahoma State University (2012), and a B.S. from Shenyang Architecture University, China (2009). Research interests include: Climate change impacts on soil carbon stability Fe oxide-mediated organic carbon preservation Nutrient cycling and microbial ecology Greenhouse gas production in wetland soils Recent work explores nanoplastic atmospheric transport, colloidal dynamics, and interdisciplinary modeling approaches to soil biogeochemistry. Zhao has published extensively in journals like Soil Science Society of America Journal , Frontiers in Environmental Science , and Environmental Science & Technology . Honors include the Outstanding Performance Award from Pacific Northwest National Laboratory (2023). Professional activities include guest editing special issues on Exogenous Carbon-Based Materials and Mineral-Organic Matter Stability . Currently accepting graduate/undergraduate students for research projects in soil biogeochemistry and environmental geochemistry.

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Sarah Nadiمشاهده پروفایل

دانشیار

Max Planck Institute for Security and PrivacyGermany

Sarah Nadi is an Associate Professor of Computer Science at New York University Abu Dhabi and holds an adjunct professor position at the University of Alberta. She co-directs the SANAD lab where she leads research on developing automated support tools to enhance software developer productivity and effectiveness. Dr. Nadi's research program centers on mining software repositories to extract insights from version control systems, issue trackers, and developer Q&A sites. Her work specifically addresses critical challenges in software library usage including selection processes, API misuse prevention, and migration to alternative libraries. Recent projects demonstrate increasing integration of AI techniques with traditional software engineering problems, particularly in understanding developer workflows around third-party libraries. Analysis of her recent publications reveals a strong methodological focus on empirical software engineering with particular expertise in Python ecosystem analysis. Her research trajectory shows evolution from foundational API usage studies toward sophisticated library migration frameworks and LLM applications in developer tooling, maintaining consistent emphasis on empirical validation through large-scale repository analysis. Dr. Nadi actively contributes to the software engineering community through leadership roles including ASE 2025 Area Chair, program committee service for major conferences (ICSE, ESEC/FSE, ICSME), and keynote presentations such as at ESEC/FSE 2021 Doctoral Symposium. She maintains active supervision of research students and regularly hires fully funded PhD candidates for the SANAD lab at NYUAD. The SANAD lab under her co-direction develops practical tooling for software developers with current projects focused on library migration benchmarking (PyMigBench), API misuse detection, and evaluating LLM impacts on development workflows. The lab maintains international collaborations and publishes consistently in top-tier software engineering venues.

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Zhi-liang Zhuمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Professor Zhi-liang Zhu is a faculty member at Northeastern University, China, specializing in software engineering and communication systems. His work bridges theoretical research in complex networks with practical software ecosystem analysis. His research focuses on information integration , complex software systems , and chaos-based communications , with recent emphasis on cross-language dependencies, vulnerability propagation, and dependency conflict resolution in modern software ecosystems. Key contributions include novel approaches for binary analysis, ecosystem health monitoring, and software modularization. His publication trends reveal a consistent trajectory from foundational work in network coding and cryptography toward contemporary software engineering challenges, particularly dependency management across programming language ecosystems. Recent papers demonstrate expertise in Python, JavaScript/TypeScript, and C/C++ contexts. 9 academic awards at national, ministerial, and provincial levels Fellow of China Institute of Communications Senior member of Chinese Institute of Electronics Prof. Zhu actively contributes to academic service as Co-Chair of the International Workshop on Chaos-Fractals Theories and Applications and serves on the Ministry of Education's Software Engineering Teaching Guiding Committee. His work includes authoring 5 books and over 230 publications.

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Daniel S. Katzمشاهده پروفایل

عضو هیئت علمی

University of Illinois Urbana-ChampaignUnited States

Daniel S. Katz is a Research Professor and Chief Scientist at the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. He holds Research Associate Professor appointments in the Siebel School of Computing and Data Science and the School of Information Sciences (iSchool). His work focuses on advancing scientific software sustainability, open science practices, and high-performance computing (HPC). Katz earned his B.S., M.S., and Ph.D. in Electrical Engineering from Northwestern University (1988–1994). Roles and Affiliations: Chief Scientist, NCSA (100%, 2020–Present) Research Associate Professor, School of Information Sciences (0%, 2016–Present) Research Associate Professor, Computer Science (0%, 2016–Present) Editor-in-Chief, Journal of Open Source Software (JOSS) Co-founder, US Research Software Engineer Association (US-RSE) Research Interests: Katz's research spans parallel/distributed computing, fault tolerance, software sustainability, and open science policies. He advocates for FAIR (Findable, Accessible, Interoperable, Reusable) principles in research software and promotes equitable software practices. His work includes developing frameworks for software citation, improving reproducibility in AI, and fostering collaboration through community-driven initiatives. Awards: 2024 US-RSE Impact Award 2023 IEEE Computer Society Golden Core recognition R&D 100 Award (2018) for Swift/T workflow system Grants and Projects: Katz leads efforts in strategic initiatives like the FARR Research Coordination Network for FAIR and AI readiness. He collaborates on projects funded by the NSF and NASA, including work on sustainable HPC software and AI training programs at NCSA. Labs and Teams: He contributes to NCSA's research initiatives and is affiliated with the Better Scientific Software (BSSw) Fellowship program. His work integrates with teams like the Research Software Alliance (ReSA) to advance software engineering practices in academia.

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Haipeng Caiمشاهده پروفایل

دانشیار

State University of New York at BuffaloUnited States

Haipeng Cai is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. Previously, he served as an Assistant Professor (2016–2022) and tenured Associate Professor (2022–2024) at Washington State University. His research focuses on software engineering and security, particularly program analysis, machine learning for security applications, and multilingual software systems. He holds a PhD in Computer Science and Engineering from the University of Notre Dame (2015). Education: PhD in Computer Science & Engineering (University of Notre Dame, 2015). Research interests include: Software security and reliability of distributed systems Machine learning-driven vulnerability detection and patching Analysis of multilingual software and cross-language bugs Tools like VGX (vulnerability data generation), PyRTFuzz (Python runtime fuzzing), and PolyFuzz (multi-language system fuzzing) Notable awards include the 2025 TOSEM Outstanding Paper Award for malware detection sustainability, multiple Distinguished Reviewer Awards, and the 2022 Junior Faculty Research Award. His work has led to over 50 publications, with a focus on practical security solutions. Advising: Mentor to students like Wen (PhD 2024, now at Utah State), Xiaoqin (first PhD graduate from his lab), and current advisees Haoran, Jiawei, and Yu. Projects include grants from NSF, ONR, and the Open Technology Fund. Key contributions include tools like VulGen (vulnerability dataset generation) and FlowDist (distributed system analysis), and labs focused on AI-driven security and multilingual software engineering.

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Juan Carlos Farahمشاهده پروفایل

پژوهشگر

Swiss Federal Institute of Technology in LausanneSwitzerland

Juan Carlos Farah is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments in the Fondation Bertarelli Chair in Neuroprosthétique Cognitive (School of Life Sciences/SV) and the SCI-STI-DG group (School of Engineering/STI). His work bridges neuroscience, artificial intelligence, and educational technology, focusing on innovative applications of AI in learning environments and neuroprosthetics research. Research Interests: Farah’s research spans educational chatbot design, AI-enhanced learning analytics, neuroprosthetic systems, and the ethical integration of technology in education. He has pioneered frameworks for task-oriented conversational agents, blockchain-based learning trace repositories, and gamified computational thinking tools. Key Projects: He contributed to the Graasp Desktop initiative for underconnected African schools and developed the TRACE model for educational chatbots. His work on code review notebooks and bot-mediated software engineering education has influenced pedagogical practices globally. Awards & Recognition: No specific awards listed, but his publications reflect high-impact contributions to IEEE, ACM, and Elsevier journals/conferences. Active in global initiatives like UNESCO’s Unequal World Conference on education equity. Technical Expertise: Proficient in Python, JavaScript, and AI toolkits. Specializes in building scalable educational platforms, learning analytics pipelines, and neuroimaging analysis for cognitive studies.

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Ying Wangمشاهده پروفایل

دانشیار

National and Kapodistrian University of AthensGreece

Dr. Ying Wang is an Associate Professor and Assistant Dean at the Software College of Northeastern University in China, where she also serves as a doctoral supervisor. She received her PhD in Software Engineering from Northeastern University in January 2019 and joined the faculty in February 2019. Her academic career includes a postdoctoral fellowship at the Hong Kong University of Science and Technology (2022-2023) and a visiting scholar position at Microsoft Research Asia (2021) through the StarTrack Program. Her research focuses on dependency management, software ecosystem governance, software refactoring, and software supply chain security. She has made significant contributions to understanding cross-language dependencies, vulnerability propagation across ecosystems, and developing tools for dependency conflict detection and resolution. Her work spans multiple programming language ecosystems including Java, C#, Python, Go, JavaScript, Android, and Rust. Dr. Wang's publication record shows a consistent trajectory of high-impact research in top software engineering conferences (CCF-A level) including ASE, ICSE, ESEC/FSE, and ISSTA. Her recent work increasingly integrates large language models with traditional software engineering techniques, particularly in dependency analysis and software refactoring. The publications demonstrate a strong emphasis on practical tool development with industry applications. Microsoft Research Asia Star Program Scholar (2020) CCF Outstanding Doctoral Dissertation Award nomination (2020) Liaoning Province Outstanding Doctoral Dissertation Award (2021) ACM SIGSOFT Distinguished Paper Award (ICSE 2021 and ESEC/FSE 2023) Multiple CCF ChinaSOFT Software Prototype Competition awards (2020, 2023) OpenHarmony Community Security Governance Contributions (2024, 2025) Dr. Wang actively mentors a large group of graduate students working on various aspects of software engineering, with many graduates securing positions at major technology companies including Huawei, Microsoft, Alibaba, and Tencent. She serves on the editorial board of IEEE Transactions on Software Engineering and has held numerous program committee positions at top software engineering conferences. Her research has strong industry connections, with several tools developed by her team being integrated into commercial platforms at Huawei and Microsoft.

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Wei Chenمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Wei Chen is a Research Fellow at the Institute of Software, Chinese Academy of Sciences, where he serves as a PhD and Master's supervisor. He leads the Software Engineering Technology R&D Center and maintains affiliations with the University of Chinese Academy of Sciences and its Nanjing College. Dr. Chen has established himself as a leading figure in intelligent software engineering research within China's academic community. His primary research focuses on four interconnected areas: intelligent code maintenance and quality assurance (particularly Python ecosystem compatibility based on domain knowledge), reliability assurance of complex IoT systems in human-machine-object convergence scenarios, cloud-native system development with emphasis on Function-as-a-Service optimization, and quality assurance of deep learning frameworks in resource-constrained environments. Dr. Chen's work consistently bridges theoretical advances with practical applications, maintaining strong industry collaborations with major Chinese technology companies. Analysis of Dr. Chen's recent publications reveals a strategic integration of AI techniques with traditional software engineering challenges. His research shows increasing emphasis on leveraging large language models for IoT component synthesis, sophisticated dependency management solutions for Python ecosystems, and innovative approaches to testing autonomous systems. The work demonstrates both theoretical depth and practical utility, with many publications leading to implemented tools and systems. Second Prize of Science and Technology Progress Award of China Institute of Electronics (2022) First Prize of Science and Technology Progress Award of China Institute of Electronics (2021) ACM SIGSOFT Distinguished Paper Award (2023) Special Prize of the 4th China Software Open Source Innovation Competition (2021) First Prize in the 4th China Software Open Source Innovation Competition (2021) OW2 Programming Contest First Prize (2016) Dr. Chen has mentored over ten graduate students who have achieved notable success in academic competitions and industry placements. His laboratory (TCSE, http://tcse.cn/) currently manages multiple significant research projects including 'Complex IoT System Reliability Assurance Key Technology Research' (2025-2028), 'Intelligent Development, Testing, and Maintenance of Cloud-native Software Ecosystems' (2024-2027), and 'Traffic Infrastructure Digital Industrial Software Architecture and Core Technology Standard System' (2021-2024). The lab maintains active collaborations with Huawei, Alibaba, Tencent, and other leading technology enterprises.

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