Dr. Kla Tantithamthavorn
Hi there!
I’m Kla (published papers as Chakkrit Tantithamthavorn), the Course Director for Bachelor of Software Engineering (Honours), and a Senior Lecturer in Software Engineering in the Faculty of Information Technology, Monash University, Australia.
My research is focused on developing AI-enabled software development techniques (e.g., AI for Software Defects, AI for Code Review, and AI for Agile) and tools (e.g, JITBot) in order to help developers find defects faster, improve developers’ productivity, make better data-informed decisions, and better improve the quality of software systems.
My research is recognised by many prestigious awards e.g., Australian Research Council (ARC)’s DECRA Award (2020-2023), and Japan Society for the Promotion of Science (JSPS-DC2). Recently, my team and I pioneered a new research direction of Explainable AI for Software Engineering, i.e., making software analytics more practical, explainable, and actionable. My research has been published at flagship software engineering venues, such as TSE, ICSE, EMSE, MSR, ICSME, IST, and other discipline venues like Annals of Emergency Medicine.
Aligned with the Faculty’s mission, ‘IT for Social Good’, he is interested in the areas of Digital Health. Funded by a Medical Research Future Fund (MRFF) to work with a multidisciplinary team with Cabrini Institute, St Vincent Hospital, and Eastern Health, he successfully developed analytics systems for estimating patient’s wait-time in Emergency Departments and deployed in many hospitals in Australia.
news
- May 31, 2023
- I'm thrilled to announce that the RAISE CSIRO's Next Gen Program Agreement is now fully executed. Student recruitment is underway!
- May 14, 2023
- I will be giving a keynote speaker on "Software Engineering in the Age of Generative AI, Not Yet Explainable!" at ICSE 2023 (the 1st IntenSE workshop), Melbourne, Australia. [Slide]
- May 01, 2023
- With the joint effort from Jurgen Cito, Hadi Hemmati, Satish Chandra, and myself, we are thrilled to release an IEEE Software Special Issue on Explainable AI for SE, including Challenges and Future Directions, and Experts' Interview on XAI for SE.
- April 26, 2023
- Launching a new course on "Quantitative Research Methods" (limited to 50 students, fully registered in 24 hours). Slides are publicly available. Some student testimonials: "Kla is very personable and friendly. He is an effective teacher, and this has been my favourite and most informative MDP training."
- April 15, 2023
- I'm thrilled to receive an ICSE'23 Distinguished Reviewer Award.