Patanamon (Pick) Thongtanunam

School of Computing and Information Systems (CIS). The University of Melbourne, Victoria, Australia

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Dr. Patanamon Thongtanunam (or Pick) is a Senior Lecturer (equivalent to Associate Professor) at the School of Computing and Information Systems, the University of Melbourne.

Pick’s research interests include empirical software engineering, data mining, and data-driven techniques to support software engineering tasks. Her primary research goals are directed towards uncovering empirical evidence, extracting knowledge from data recorded in software repositories, gleans actionable insights for software engineering management, and developing automated approaches to support developers. Her research work and endeavour has received numerous prestigious awards including an Australian Research Councile (ARC) Discovery Early Career Research Award (2021 - 2024), Japan Society for the Promotion of Science Research Fellowship (2016 - 2018), ACM SIGSOFT Distinguished Paper award, IEEE Computer Society TCSE Distinguished Paper Award, as well as distinguished reviewer awards.

Contact: patanamon{dot}t{at}unimelb.edu.au

Recent Publications

2024

  1. MSR
    Curated Email-Based Code Reviews Datasets
    Mingzhao Liang, Wachiraphan Charoenwet, and Patanamon Thongtanunam
    In Proceedings of the IEEE/ACM International Conference on Mining Software Repositories, 2024
  2. MSR
    Improving Automated Code Reviews: Learning from Experience
    Hong Yi Lin, Patanamon Thongtanunam, Christoph Treude, and Wachiraphan Charoenwet
    In Proceedings of the IEEE/ACM International Conference on Mining Software Repositories, 2024
  3. MSR
    Encoding Version History Context for Better Code Representation
    Huy Nguyen, Christoph Treude, and Patanamon Thongtanunam
    In Proceedings of the IEEE/ACM International Conference on Mining Software Repositories, 2024

Recent Funding

  1. 1,200,000 AUD
    Co-leading the Responsible AI Software Engineering (RAISE) program with 9 industry partners to train 11 graduates (7 Ph.D., 1 Master, and 3 Honours) addressing the urgent need for deep expertise and excellent skills in Responsible AI Software Engineering for digital health, transportation, and defence sectors.
  2. 402,000 AUD
    For 3 years (2021 - )
    ARC DECRA Fellowship is the competitive fund which is awarded to Early Career Researchers in Australia to support excellent basic and applied research. Success rate (DE21): 200/1173 (17.1%) across all disciplines; 56/331 (16.9%) for the Engineering, Information and Computing Sciences discipline.

    Recent Awards

    1. CIS Excellence in Teaching & Education award (2023)
      For the outstanding leadership and service in the coordination of Master of Software Engeering program at the School of Computing and Information Systems, The University of Melbourne
    2. CIS Excellence in Engagement (ECR) award (2022)
      For the outstanding research achievements of Early Career Researchers at the School of Computing and Information Systems, The University of Melbourne
    3. ACM SIGSOFT Distinguished Paper Award
      For our paper titled ``PyExplainer: Explaining the Predictions of Just-In-Time Defect Models'' published at the International Conference on Automated Software Engineering (ASE2021).