Dr. Pubudu Sanjeewani
Details
Department: School of Computing Technologies
Campus: City Campus Australia
pubudu.sanjeewani@rmit.edu.au
ORCID: 0000-0003-3476-2663
Open to
- Masters Research or PhD student supervision
- Industry Projects
- Collaborative projects
About
I am an Associate Lecturer (Education Focused) (ACDF) at RMIT University, where I teach undergraduate and postgraduate courses in artificial intelligence, data science, and programming. My research focuses on deep learning, computer vision, machine learning, generative AI, explainable AI (XAI), natural language processing (NLP), and large language models (LLMs), with an emphasis on developing intelligent, interpretable, and robust AI systems.
Research fields
- 461103 Deep learning
- 460304 Computer vision
- 460308 Pattern recognition
- 4611 Machine learning
- 4602 Artificial intelligence
- 460208 Natural language processing
Academic positions
- Associate Lecturer
- RMIT University
- School of Computing Technologies
- Melbourne, Australia
- 1 Jul 2025 – Present
- Research Fellow
- Griffith University
- Institute for integrated and the Intelligent Systems
- Brisbane, Australia
- 19 Aug 2024 – 31 Dec 2024
- Postdoctoral Research Assistant
- RMIT University
- School of Computing Technologies
- Melbourne, Australia
- 25 Oct 2024 – 15 Dec 2024
- Sessional Academic: Computing Technologies
- RMIT University
- School of Computing Technologies
- Melbourne, Australia
- 14 Jul 2023 – 30 Jun 2025
- Postdoctoral Research Assistant
- RMIT University
- School of Computing Technologies
- Melbourne, Australia
- 13 Jul 2023 – 22 Sep 2023
Non-academic positions
- Machine Learning Engineer
- Smart AI Connect
- Brisbane, Australia
- 27 Jun 2022 – 30 Sep 2023
- Software Engineer
- Sierra Construction Pty Ltd
- Telecom
- Sri Lanka
- 16 Sep 2017 – 3 May 2019
- Software Engineer
- SIoT Services Pvt Ltd
- Colombo, Sri Lanka
- 1 Jun 2017 – 15 Sep 2017
- Software Engineer
- Vogue Tex Pvt Ltd.
- Matara, Sri Lanka
- 6 Jun 2016 – 31 May 2017
Teaching interests
Postgraduate Level:
• Semester 1 2026 - COSC3144/2527 Games and AI Techniques - 208 students
• Semester 1 2026 - COSC2820 Advanced Programming for Data Science - 237 students
• Semester 2 2025 - COSC2820 Advanced Programming for Data Science - 307 students (OSI: 4.12/5, CES Score: 4.03/5) (This course was recognized as one of the top courses with the highest student satisfaction, with enrolments exceeding 300 students.)
• Semester 2 2025 - COSC2667/2777 Data Science & AI Postgraduate Project - Academic Supervisor for 15 capstone projects
• Semester 1 2025 - COSC2793 Computational Machine Learning - 148 students
• Semester 2 2024 - COSC2670/2738 Practical Data Science (with Python) - 499 students
• Semester 2 2024 - COSC2531 Programming Fundamentals - 536 students (This course was recognized as one of the top 5 courses in the School of Computing Technologies, RMIT University.)
• Semester 1 2024 - COSC2793 Computational Machine Learning - 99 students
• Semester 2 2023 - COSC2779/2972 Deep Learning - 60 students
Undergraduate Level:
• Semester 2 2026 - COSC2391 Further Programming - 86 students
• Semester 1 2026 - COSC2815 Advanced Programming for Data Science - 86 students
• Semester 1 2026 - COSC2960 Foundations of Artificial Intelligence - 679 students
• Semester 2 2025 - COSC2815 Advanced Programming for Data Science - 133 students
• Semester 1 2025 - COSC2673 Machine Learning - 284 students
• Semester 1 2024 - COSC2673 Machine Learning - 142 students
• Semester 1 2024 - COSC2960 Foundations of Artificial Intelligence for STEM - 943 students
• Semester 2 2024 - COSC2960 Foundations of Artificial Intelligence for STEM - 1813 students
Research interests
- Artificial Intelligence
- Computer Vision
- Deep Learning
- Machine Learning
- Explainable AI
- Generative AI
- Natural Language Processing (NLP)
- Large Language Models (LLMs)
