Background & Interests
I am a researcher and educator specializing in Artificial Intelligence, with expertise in automated planning, search algorithms, and knowledge representation. My work focuses on advancing the state-of-the-art in AI planning and developing practical applications.
Currently, I am involved in teaching and research at the university level, with a particular focus on COMP90054 - AI Planning for Autonomy. My research interests include epistemic planning, multi-agent planning, and forward search techniques in complex domains.
Education & Qualifications
Doctor of Philosophy - Computer Science
2020 – 2025
The University of Melbourne
Thesis: Seen Is Believing: Modeling and Solving Epistemic Planning Problems using Justified Perspectives
Developed the Justified Perspective model, an efficient framework for epistemic planning that advances reasoning about false and group beliefs and improves planning algorithms for multi-agent interaction under incomplete or mistaken information.
Master of Philosophy
2017 – 2020
The University of Melbourne
Thesis: What you get is what you see: Decomposing Epistemic Planning using Functional STRIPS
Master of IT (Computing)
2015 – 2016
The University of Melbourne
Expertise & Skills
Research Areas
- AI Planning
- Epistemic Planning
- Search Algorithms
- Multi-Agent Systems
- Knowledge Representation
Technical Skills
- Python
- PDDL
- Java
- C++
- Robotic Operating System (ROS)
Teaching
- Course Design
- Curriculum Development
- Student Supervision
- Mentoring
- Assessment