Dr. Kla Tantithamthavorn

Assistant Professor

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Biography

Kla Tantithamthavorn is an Associate Professor and Course Director for the Bachelor of Software Engineering (Honours) program at Monash University, Australia. He is a Senior Member of IEEE and has previously been an Australian Research Council Discovery Early Career Fellow and a Japan Society for the Promotion of Science Fellow. His research focuses on developing AI-enabled software development techniques, such as AI Software Defects, AI Code Review, and AI Agile, along with tools like AIBugHunter that assist developers in identifying defects quickly. Additionally, he investigates new methodologies that enable software engineers to test, monitor, and mitigate safety and security risks in large language model-based software systems. His work aims to improve software quality in fast-paced development environments, contributing significantly to the reduction of software defects and enhancement of developer productivity across critical domains, particularly in Smart Cities and e-Health.

Research Interests

Experience

Associate Professor

2016-01-01 — Present

Monash University • Melbourne, Australia

Teaching and conducting research in Software Engineering, with a focus on AI-enabled software development techniques.

Awards

#

ARC Discovery Early Career Researchers Award

2020-03-02
#

JSPS Research Fellowship

2014-04-01

Requirements for Monash University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:12
Reading
Required:13
Writing
Required:21
Speaking
Required:18
Total
Required:79
Prerequisites
Bachelor degree (or equivalent) in a related field
Application Checklist
  • Academic Transcripts
  • Proof of English Proficiency
  • Curriculum Vitae
  • Copy of Passport
Specialization Notes

Requirements are standardized across the Faculty of Information Technology for most Master's programs including Computer Science and Data Science.