Pubudu Sanjeewani Thihagoda Gamage

Dr. Pubudu Sanjeewani Thihagoda Gamage

Associate Lecturer (Education Focused) (ACDF)
See full profile

Details

Open to

  • Masters Research or PhD student supervision
  • Industry Projects
  • Collaborative projects
  • Mentoring (long-term)
  • Mentoring (short-term)

About

I currently serve as an Associate Lecturer (ACDF) at RMIT University, where I teach and conduct research in deep learning, machine learning, artificial intelligence, data science, and digital health. My research primarily focuses on deep learning and computer vision, developing explainable and robust AI models for practical applications

Teaching interests

Postgraduate Level:

• Semester 2 2025 - COSC2820 Advanced Programming for Data Science - 307 students (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 1 2024 - COSC2793 Computational Machine Learning - 99 students 
• Semester 2 2024 - COSC2670 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 2 2023 - COSC2779 Deep Learning - 60 students

Undergraduate Level:

• 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
• Semester 2 2024 - COSC2738 Practical Data Science (with Python) - 499 students

• Semester 2 2023 - COSC2972 Deep Learning - 60 students

Research interests

  • Computer vision
  • Deep learning
  • Machine learning
  • Explainable AI
  • Generative AI
  • Reinforcement learning
aboriginal flag float-start torres strait flag float-start

Acknowledgement of Country

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

Learn more about our commitment to Indigenous cultures