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Mining Software Repositories Professors and Supervisors in Switzerland | ApplySharif

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Harald C. GallView profile

Professor

University of ZurichSwitzerland

Harald C. Gall is a Professor of Software Engineering and Dean of the Faculty of Business, Economics, and Informatics at the University of Zurich (UZH). He leads the Software Evolution and Architecture Lab, focusing on software evolution analysis, mining software repositories, and cloud-based software engineering. His research emphasizes improving software development productivity through data-driven insights. He has held visiting positions at Microsoft Research and the University of Washington. Education: PhD (Dr. techn.) and Master's (Dipl.-Ing.) in Informatics from TU Vienna Research Interests: Software evolution, mining software archives, cloud-based tools, developer productivity, and empirical software engineering. Notable contributions include the Evolizer , ChangeDistiller , and SOFAS systems. Key Contributions: Established the Mining Software Repositories (MSR) research area, program chair for ICSE 2011 and ESEC/FSE 2005, associate editor of leading journals like Empirical Software Engineering and IEEE Software. Awards: Most Influential Paper Award, Test of Time Award, and multiple Best Paper Awards. Recognized for contributions to SE research methodologies and tool development. Professional Activities: ACM SIGSOFT awards chair, board member of Informatics Europe, and executive committee member of CHOOSE (Swiss SIG for OO Systems). Labs/Teams: Director of the Software Evolution and Architecture Lab at UZH, leading projects like SURF-MobileAppsData (SNSF-funded) and DevCloud (Hasler Foundation).

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Michele LanzaView profile

Professor

University of Italian SwitzerlandSwitzerland

Michele Lanza is a Full Professor at the Faculty of Informatics, Università della Svizzera italiana (USI), Lugano, where he co-founded the faculty in 2004. He is the founder and director of the Software Institute (since 2017) and leads the REVEAL research group, focusing on software visualization, evolution, and analytics. He holds a PhD from the University of Bern (2003), where he also earned his MSc (1999), and was a postdoctoral researcher at the University of Zurich. Research Interests: Software Engineering Software Visualization (notably the 'City Metaphor') Mining Software Repositories (MSR) Software Evolution and Analytics Program Comprehension Reverse Engineering and Architecture Recovery His recent publications (2023–2025) emphasize immersive software visualization in virtual reality, automated documentation, code refactoring, and empirical studies on developer behavior and documentation. There is a strong trend toward human-centric, visual, and data-driven approaches, often leveraging VR and interactive tools for deeper software understanding. Scientific Awards: Ernst Denert Award (2003) Credit Suisse Teaching Award (2007, 2009) Best Paper Awards (SANER 2024, VISSOFT 2022, ICPC 2016) Most Influential Paper Award (MSR 2010) Advising and Grants: Prof. Lanza has supervised over 13 PhD students and numerous MSc and BSc theses, fostering a vibrant research group. He leads multiple funded projects, including SNF grants (FORCE, TUML, INSTINCT, PROBE, ESSENTIALS, BIGDATA), FFL (CSRD), and industry R&D initiatives. Funding supports travel, hardware, software, and PhD positions, enabling cutting-edge research in software engineering. Labs and Teams: He leads the REVEAL research group and the Software Institute at USI, which serve as hubs for innovation in software visualization, mining, and evolution. These teams are highly collaborative, interdisciplinary, and active in top-tier conferences (ICSE, FSE, ICSME, MSR, VISSOFT).

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Roberto MinelliView profile

Researcher

University of Italian SwitzerlandSwitzerland

Roberto Minelli is a Scientific Collaborator and Academic Coordinator at the Software Institute, Faculty of Computer Science, Università della Svizzera italiana (USI), where he also completed his Bachelor, Master, and PhD in Informatics. His work bridges research, education, and technology outreach, with a strong focus on software engineering, visualization, and developer interaction analysis. His research centers on leveraging interaction data from development environments to enhance software comprehension and evolution. Key areas include software visualization , mining software repositories , reverse engineering , and program comprehension . He has pioneered work in visual metaphors such as Software Cities and explored immersive environments like virtual reality for code visualization. The recent publications reflect a consistent trend in visual analytics for software engineering, with increasing emphasis on social and collaborative aspects of development (e.g., Discord, GitHub issues), large-scale system comprehension, and the integration of diverse data sources into unified visual models. His work combines empirical studies, tool development, and human-centered evaluation. Best Paper Award, IWESEP 2016 Most Influential Paper Award, ICPC 2015 Distinguished Reviewer Award, ICPC 2020 Minelli actively mentors students, co-supervising numerous Bachelor and Master theses in software visualization and analytics. He has secured multiple research and development mandates, including projects like Self-Driving Cars on Interactive Dynamic Tracks (SNF Agora) and Sphere Two: Swiss Pavilion @ Expo 2025 . He plays a central role in organizing key events such as VISSOFT, SIESTA, and #FormulaUSI, and contributes to curriculum development and outreach programs targeting secondary education. He is involved in several labs and teams, primarily the REVEAL research group (led by Prof. Michele Lanza) and the Software Institute at USI. His leadership in initiatives like CodeLounge and #FormulaUSI underscores his commitment to experiential learning and public engagement in computing.

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Laurent VanbeverView profile

Associate Professor

ETH ZurichSwitzerland

Laurent Vanbever is an Associate Professor at ETH Zürich's Department of Information Technology and Electrical Engineering and heads the Computer Engineering and Networks Lab. His research focuses on networking systems, with a strong emphasis on network security, routing protocols, software-defined networking (SDN), and distributed systems. He explores topics such as BGP convergence, energy-efficient router designs, and mitigating routing attacks on cryptocurrencies. His work bridges theoretical advancements with practical implementations, addressing challenges in network scalability, resilience, and sustainability. Key research areas include network verification, programmable packet processing (P4), and the security of decentralized systems like blockchain. Recent projects analyze transient forwarding anomalies, SDN-based network optimizations, and energy consumption in ISP networks. His contributions to network measurement and control plane innovations have significant implications for Internet architecture and operational practices. Vanbever actively publishes in top-tier conferences/journals and collaborates on open-source networking tools. His lab develops frameworks to enhance network performance and security, such as verifying link loads and mitigating BGP hijacks. Current efforts include exploring energy-efficient network designs and safeguarding cryptocurrency infrastructure against routing vulnerabilities.

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Thomas MaillartView profile

Senior Lecturer

University of GenevaSwitzerland

Thomas Maillart is a Senior Lecturer and researcher at the Research Institute for Statistics and Information Science at the University of Geneva. His work bridges complex systems, collective intelligence, and cybersecurity, with a focus on modeling human dynamics and digital risks. Education: PhD in Science, ETH Zurich (2011) Master’s degree, EPFL (2005) His research centers on understanding how incentives, structures, and social interactions shape collective behavior in online and physical environments. He investigates topics such as cyber risks, privacy, resilience, and technological innovation. His work often applies statistical physics and data science to socio-technical systems, including open-source software development, cybersecurity policy, and human behavior modeling. His recent publications reflect a strong trend toward interdisciplinary research, combining insights from computer science, economics, psychology, and public policy. He explores how machine learning can forecast digitization labor needs, how collective action enhances cybersecurity, and how bio-sensors can aid in medical diagnosis. His work frequently appears in high-impact journals such as Science , PLOS ONE , and Physical Review . Scientific Awards: Zurich Dissertation Prize (2012) for pioneering work on cyber risks Thomas Maillart has advised and collaborated with numerous researchers and students, though specific names are not listed in the provided text. He has been involved in significant research grants and initiatives, including cybersecurity consulting for governmental and private organizations and co-founding a cybersecurity startup in 2005. His academic service includes organizing and presenting at international conferences such as WEIS and ACM conferences. He is associated with several research platforms, including ResearchGate, Google Scholar, LinkedIn, and Twitter, and has contributed to both peer-reviewed and practitioner-oriented publications. His recent editorial work includes co-editing a book on critical information infrastructure security.

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Alberto BacchelliView profile

Associate Professor

University of ZurichSwitzerland

Alberto Bacchelli is an Associate Professor of Empirical Software Engineering at the University of Zurich (UZH), leading the Zurich Empirical Software Engineering Team (ZEST). He joined UZH in 2017, having previously worked as an Assistant Professor at Delft University of Technology (Netherlands), where he earned tenure. His research focuses on improving software quality, developer effectiveness, and code review practices through empirical studies and tool development. Bacchelli holds a PhD from the University of Lugano, with internships at Microsoft Research. He has received prestigious awards, including the MSR Ric Holt Early Career Achievement Award (2020) and the 10-year Most Influential Paper Award from SANER. His work spans code review efficiency, software security, and developer tools. In his personal life, he balances family time with a passion for photography, particularly through his sister Chiara’s wedding photography work. Affiliations: University of Zurich (since 2017), Delft University of Technology (2013–2017), Microsoft Research (internships 2012–2013). Education: PhD in Computer Science (University of Lugano, 2013), Master/BS in Computer Science (University of Bologna), studies at Université Libre de Bruxelles. His research interests center on understanding software engineering challenges and designing tools/methods to enhance practices. Notable projects include studies on code review strategies, developer cognition, and security in collaborative environments. He emphasizes bridging theory and practice, aiming for real-world impact through tools like PyDriller and frameworks for mining software repositories. Awards highlight his contributions to code review and software engineering education. He actively engages in teaching, mentoring, and advancing open-source practices. His team, ZEST, explores topics such as code review dynamics, developer productivity, and empirical methods to improve software processes.

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Johan van den HoogenView profile

Researcher

ETH ZurichSwitzerland

Dr. Johan van den Hoogen is affiliated with the Global Ecosystem Ecology Professorship at ETH Zürich's Department of Environmental Systems Science (UNH) . His research focuses on ecosystem ecology , climate change impacts , hydrological processes , and soil microbiology . He investigates global patterns in forest functional traits, soil biogeochemical cycles, and the interplay between land-use changes and microbial diversity. Key contributions include global analyses of tree wood density distributions, soil temperature dynamics, and biodiversity-carbon storage relationships. His work on flood risk management integrates social media data (e.g., Twitter/X) to assess disaster impacts, emphasizing early warning systems and evacuation modeling. He collaborates extensively with international teams, publishing in journals like Hydrological Sciences Journal , Natural Hazards and Earth System Sciences , and Nature Water . His research spans socio-hydrology , forest restoration potential , and microbial-driven carbon losses . Recent studies address the role of soil microorganisms in global biogeochemical cycles and the biogeographic distribution of fungal-bacterial ratios across ecosystems. Key affiliation: ETH Zürich, Professur Globale Ökosystemökolog (UNH G6) Research networks: Collaborations with GFZ German Research Centre for Geosciences, University of Bonn, and international hydrology consortia Focus areas: Climate adaptation, flood vulnerability, microbial ecology, and global environmental datasets

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Marco D'AmbrosView profile

Professor

University of Italian SwitzerlandSwitzerland

Marco D'Ambros is Professor and Director of CodeLounge , the software research & development center within the Software Institute at Università della Svizzera italiana (USI) in Lugano, Switzerland. Since February 2018 he has led CodeLounge, bridging academic research with industrial practice. Education Ph.D. in Computer Science, Università della Svizzera italiana, 2010 – Dissertation: "On the Evolution of Source Code and Software Defects" M.Sc. (Laurea) in Computer Engineering, Politecnico di Milano, Italy, 2005 – Thesis: "Software Archaeology – Reconstructing the Evolution of Software Systems" Research Interests Marco’s work centers on mining software repositories , software evolution , and software visualization . He designs interactive visual analytics tools—such as Churrasco , BugCrawler , Evolution Radar —that help developers and researchers understand how large codebases change over time, where defects emerge, and how teams collaborate. Recent projects extend these ideas to microservices architectures and text mining of development communication (e.g., mailing lists, issue trackers). Scientific Awards Best Paper Award , IEEE Working Conference on Reverse Engineering (WCRE) 2009 Grants & Collaborations Between 2012 and 2018 Marco led high-impact data-integration projects for government and enterprise clients worldwide as a technical leader at Palantir Technologies , bringing industrial-scale challenges back to academia. At USI he continues to foster industry partnerships through CodeLounge, securing collaborative R&D funding for topics ranging from large-scale microservice evolution to AI-assisted program comprehension. Laboratories & Teams CodeLounge serves as an open laboratory where faculty, doctoral students, and industry engineers co-develop next-generation tooling for software evolution analysis. The lab hosts visiting researchers and maintains open-source releases of its research prototypes.

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Timo KehrerView profile

Professor

University of BernSwitzerland

Prof. Timo Kehrer is a Professor and Head of the Software Engineering Group (SEG) at the Institute of Computer Science, University of Bern. He also serves as Deputy Director of Studies, overseeing academic programs in software engineering. His research focuses on variability modeling, model-based systems engineering, simulation-based testing of autonomous systems, and empirical studies in software development practices. Key areas include software product lines, cyber-physical systems, and the application of formal methods in industrial contexts. Notable contributions include work on Community-driven variability management in open-source software, Automated testing tools like ScoutSL and TEASER , Simulation-based frameworks for self-driving cars (e.g., Sensodat datasets), and Empirical analyses of GitHub Actions workflows and merge conflict resolution. His research bridges theory and practice, addressing challenges in software sustainability, AI-driven development, and the integration of formal verification tools like TLA+. He actively participates in conferences such as VaMoS (Variability Modelling) and contributes to open-source projects in model-driven engineering. Prof. Kehrer collaborates with industry partners to advance tools for model repositories, vulnerability detection (e.g., VUDENC ), and semantic analysis of software changes. His work emphasizes reproducibility, tool support for developers, and educational initiatives to modernize software engineering curricula.

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Alain BorelView profile

Lecturer

Swiss Federal Institute of Technology in LausanneSwitzerland

Alain Borel is a Lecturer and Research Data Management Specialist at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Scientific Information Service (SISB-SOAR) and EDCH-ENS teaching unit. His work bridges academic research and information science, with a focus on research data management, computational chemistry, and MRI contrast agent development. Role : Lecturer in data management for chemical sciences Affiliation : EPFL Library's SOAR (Scientific Information Service) Expertise : Molecular modeling, EPR spectroscopy, programming (Python, JavaScript, Fortran), and FAIR data principles His research interests span Scientific Data Management (including dataset organization, naming conventions, and repository systems), Molecular Modeling of transition metal complexes using classical MD and DFT methods, and MRI Contrast Agent Development through analysis of gadolinium complexes' magnetic properties. He has contributed to tools like MarcXimiL for library record deduplication and ChemCalc for chemical infrastructure. Key article trends show continuous contributions to data management frameworks (2025-2019) alongside inorganic chemistry research (2009-2002) focused on gadolinium-based MRI agents, paramagnetic relaxation, and zero-field splitting phenomena. Alain Borel's technical and pedagogical work is evident in publications covering: Data Management : Decision trees, Zenodo communities, README templates Chemical Research : Gadolinium complexes, relaxivity, DFT calculations Library Science : UDC automation, bibliographic record comparison He teaches courses on Research Data Management in Chemistry and Information Literacy for Chemists , emphasizing practical data organization and scientific communication.

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Gabriele BavotaView profile

Professor

University of Italian SwitzerlandSwitzerland

Gabriele Bavota is a Full Professor in the Faculty of Informatics at the Università della Svizzera italiana (USI). He holds a Laurea (cum laude) and PhD in Computer Science from the University of Salerno (2013). Before joining USI in 2016, he was an Assistant Professor at the Free University of Bolzano-Bozen (2014–2016) and a research fellow at the University of Sannio (2013–2014). Research Focus: Software maintenance, mining software repositories, empirical software engineering, and AI-driven code analysis. Awarded the 2018 ACM Sigsoft Early Career Researcher Award and leads the ERC Starting Grant project DEVINTA, exploring deep learning applications in software engineering. Authored over 180 publications in top venues like ICSE, FSE, and TOSEM, with multiple best/distinguished paper awards. His work bridges empirical studies, AI tools, and developer-centric solutions, addressing challenges in code quality, refactoring, and automated testing. He has served as program chair for ICPC 2016, SANER 2017, and ICSME 2023, and holds editorial roles in TSE, EMSE, and JSS. Labs/Teams: Principal Investigator of the DEVINTA project and part of the Software Institute at USI, fostering collaborations in AI, software engineering, and empirical research.

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Juan Carlos FarahView profile

Researcher

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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