Dr Napoleon Reyes Ph.D. Computer Science

Qualifications

• Doctor of Philosophy in Computer Science - De La Salle University, Manila (2004)

Certifications and Registrations

• Licence, Supervisor, Massey University

Research Interests

Hybrid Intelligent Systems, Deep Learning and Computer Vision

Research Opportunities

• Multi-agent Reinforcement Learning  (04/02/2025) This project explores deep learning variants of reinforcement learning for coordinating multiple AI agents in either pure cooperative or mixed cooperative-competitive games.
• Multi-agent path-planning in unknown terrains  (02/12/2023) This project explores the use of optimal and incremental search algorithms for building the intelligence for multi-agent path-planning in unknown terrains
• Artificial intelligence for the robot soccer game  (02/12/2023) This project explores the use of fuzzy logic and reinforcement learning for building the intelligence for the robot soccer game

Area of Expertise

Field of research codes
Adaptive Agents and Intelligent Robotics (080101): Artificial Intelligence and Image Processing (080100): Computer Vision (080104): Information And Computing Sciences (080000)

Teaching Statement

The constant pursuit of new knowledge and the opportunity to share that knowledge is what brings excitement for me as an academic.  I find this continuing learning process truly rewarding and enriching as a person.  One of my roles is to try and demystify complex algorithms, so that students can learn them thoroughly and more easily.  I also see the teaching profession as a platform for inspiring minds to tackle real-world problems. 

Graduate Supervision Statement

Keeping at pace with the ever-changing technology is key to identifying what opportunities lie ahead to allow one to contribute to the scientific community.  Given any research area, students are expected to face a steep learning curve at the beginning and so careful guidance is important.  A problem may seem to be insurmountable, but no problem can withstand the attack of sustained thinking.  A post graduate research is a journey that must be carried out with grit and systematised work.  It’s a collaboration between me and the student.  With my research and supervision experience, any student who systematically strives hard to explore a realm of research will eventually attain success.

Areas of interest: artificial intelligence, computer vision, machine learning

Current Doctoral Supervision

Co-supervisor of:

• Neranjana Wijewardhana - Doctor of Philosophy
  Data-centric approaches to improving cross-lingual capabilities of large language models

Completed Doctoral Supervision

Main Supervisor of:

• 2026 - Martin Brenner - Doctor of Philosophy
  Five-Modality Semantic Segmentation: Dataset, Encoder & Decoder Fusion, and Per-Pixel Gating
• 2024 - Mona Alshehri - Doctor of Philosophy
  Evolving and Co-Evolving Meta-Level Reasoning Strategies for Multi-Agent Collaboration
• 2020 - Jun Ren - Doctor of Philosophy
  Deep Representation Learning for Action Recognition from RGB+D
• 2010 - Guy Kloss - Doctor of Philosophy
  Adaptation of colour perception through dynamic ICC profile modification

Co-supervisor of:

• 2022 - Preeti Cowan - Doctor of Philosophy
  Deep Learning for Asteroid Detection in Large Astronomical Surveys
• 2011 - Antony Gerdelan - Doctor of Philosophy
  Hybrid Artificial Intelligence Algorithms for Autonomous Agents