Dr Napoleon Reyes staff profile picture

Contact details +6492136143

Dr Napoleon Reyes Ph.D. Computer Science

Senior Lecturer in Computer Science and Information Technology

Doctoral Supervisor
School of Mathematical and Computational Sciences

I am always fascinated by the enormous potential offered by the vast array of artificial intelligence (AI) algorithms that can be applied to dynamically changing environments.  My research revolves around building hybrid AI techniques for robot path-planning, meta-level reasoning, computer vision and machine learning.

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Professional

Qualifications

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

Certifications and Registrations

  • Licence, Supervisor, Massey University

Research Expertise

Research Interests

Intelligent Systems, Machine Learning and Computer Vision

Research Opportunities

  • 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)

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 0 2

Research Outputs

Journal

Barczak, ALC., Mathrani, A., Han, B., & Reyes, NH. (2023). Automated assessment system for programming courses: a case study for teaching data structures and algorithms. Educational Technology Research and Development. 71(6), 2365-2388
[Journal article]Authored by: Han, B., Mathrani, A., Reyes, N.
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Brenner, M., Reyes, NH., Susnjak, T., & Barczak, ALC. (2023). RGB-D and Thermal Sensor Fusion: A Systematic Literature Review. IEEE Access. 11, 82410-82442
[Journal article]Authored by: Reyes, N., Susnjak, T.
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Cowan, P., Bond, IA., & Reyes, NH. (2023). Towards asteroid detection in microlensing surveys with deep learning. Astronomy and Computing. 42
[Journal article]Authored by: Bond, I., Reyes, N.
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Ren, J., Reyes, N., Barczak, A., Scogings, C., & Liu, M. (2018). Toward three-dimensional human action recognition using a convolutional neural network with correctness-vigilant regularizer. Journal of Electronic Imaging. 27(4)
[Journal article]Authored by: Reyes, N., Scogings, C.
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Vaščák, J., & Reyes, NH. (2014). Use and perspectives of Fuzzy cognitive maps in robotics. Intelligent Systems Reference Library. 54, 253-266
[Journal article]Authored by: Reyes, N.
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Susnjak, T., Barczak, A., Reyes, N., & Hawick, K. (2013). Coarse-to-fine multiclass learning and classification for time-critical domains. Pattern Recognition Letters. 34(8), 884-894
[Journal article]Authored by: Reyes, N., Susnjak, T.
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Book

reyes, ., barczak, ., Susnjak, T., & Jordan, A. (2017). Fast and Smooth Replanning for Navigation in Partially Unknown Terrain. In Robot Intelligence Technology and Applications.
[Chapter]Authored by: Reyes, N., Susnjak, T.
Wang, W., Reyes, NH., Barczak, ALC., Susnjak, T., & Sincak, P. (2015). Multi-behaviour robot control using genetic network programming with fuzzy reinforcement learning. (pp. 151 - 158).
[Chapter]Authored by: Reyes, N., Susnjak, T.
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Reyes, NH., Barczak, ALC., Susnjak, T., Sincák, P., & Vaščák, J. (2013). Real-time fuzzy logic-based hybrid robot path-planning strategies for a dynamic environment. In Robotics: Concepts, Methodologies, Tools, and Applications. (pp. 1545 - 1571).
[Chapter]Authored by: Reyes, N., Susnjak, T.
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Susnjak, T., & Barczak, A. (2014). On combining boosting with rule-induction for automated fruit grading. In Transactions on Engineering Technologies: Special Issue of the World Congress on Engineering and Computer Science 2013. (pp. 275 - 290).
[Chapter]Authored by: Reyes, N., Susnjak, T.
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Vaščák, J., & Reyes, NH. (2013). Use and perspectives of fuzzy cognitive maps in robotics. In EI. Papageorgiou (Ed.) Fuzzy Cognitive Maps for Applied Sciences and Engineering. (pp. 253 - 266). Berlin, Germany: Springer Berlin Heidelberg
[Chapter]Authored by: Reyes, N.
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Reyes, NH., Susnjak, T., Barczak, ALC., Sincák, P., & Vašcák, J. (2013). Real-time fuzzy logic-based hybrid robot path-planning strategies for a dynamic environment. In Efficiency and Scalability Methods for Computational Intellect. (pp. 115 - 141).
[Chapter]Authored by: Reyes, N., Susnjak, T.
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Conference

Shim, K., Barczak, A., Reyes, N., & Ahmed, N.Small mammals and bird detection using IoT devices. International Conference Image and Vision Computing New Zealand. 2151-2191.
[Conference]Authored by: Reyes, N.
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Barczak, ALC., Barczak, ET., & Reyes, NH. (2020). Incremental Improvement for Sub-optimal Euclidean TSP Paths Generated by Traditional Heuristics. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020.
[Conference Paper in Published Proceedings]Authored by: Reyes, N.
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Alshehri, M., Reyes, N., & Barczak, A. (2020). Evolving meta-level reasoning with reinforcement learning and A* for coordinated multi-agent path-planning. In Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS Vol. 2020-May (pp. 1744 - 1746).
[Conference Abstract]Authored by: Reyes, N.
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Ren, J., Napoleon, R., Andre, B., Chris, S., Liu, M., & Ma, J.Robust Skeleton-based Action Recognition through Hierarchical Aggregation of Local and Global Spatio-temporal Features. 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018. (pp. 901 - 906).
[Conference]Authored by: Reyes, N.
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Reyes, NH., Barczak, ALC., & Susnjak, T. (2018, August). Autonomous Navigation in Partially Known Confounding Maze-Like Terrains Using D* Lite with Poisoned Reverse. Presented at 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA). Kosice, Slovakia.
[Conference Oral Presentation]Authored by: Reyes, N., Susnjak, T.
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Reyes, N., Barczak, A., & Scogings, C. (2018). Robust skeleton-based action recognition through hierarchical aggregation of local and global spatio-temporal features. (pp. 901 - 906). : 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Scogings, C.
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Ren, J., Reyes, NH., Barczak, ALC., Scogings, C., & Liu, M. (2018). Towards 3d human action recognition using a distilled cnn model. 2018 IEEE 3rd International Conference on Signal and Image Processing, ICSIP 2018. (pp. 7 - 12).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Scogings, C.
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Reyes, NH., Barczak, ALC., & Susniak, T. (2018). Autonomous navigation in partially known confounding maze-like terrains using D∗Lite with poisoned reverse. DISA 2018 - IEEE World Symposium on Digital Intelligence for Systems and Machines, Proceedings. (pp. 67 - 76).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Ren, J., Reyes, NH., Barczak, ALC., Scogings, C., & Liu, M. (2018). An Investigation of Skeleton-Based Optical Flow-Guided Features for 3D Action Recognition Using a Multi-Stream CNN Model. 2018 3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018. (pp. 199 - 203).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Scogings, C.
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Reyes, NH., Barczak, ALC., Susnjak, T., & Jordan, A. (2017). Fast and smooth replanning for navigation in partially unknown terrain: The hybrid Fuzzy-D*lite algorithm. Advances in Intelligent Systems and Computing. Vol. 447 (pp. 31 - 41).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Alqahtani, S., Barczak, A., Reyes, N., Susnjak, T., & Ganley, A. (2016). Automatic alignment and comparison on images of petri dishes containing cell colonies. International Conference Image and Vision Computing New Zealand. Vol. 2016-November
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Safar, A., Reyes, NH., Barczak, ALC., Susnjak, T., & Ganley, A. (2016). Automatic alignment and comparison on images of petri dishes containing cell colonies. 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 1 - 6). : 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ)
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Susnjak, T., Kerry, D., Barczak, A., Reyes, N., & Gal, Y. (2015). Wisdom of crowds: An empirical study of ensemble-based feature selection strategies. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9457 (pp. 526 - 538).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Barczak, ALC., susnjak, T., & Reyes, NH. (2014). Characterisation of the discriminative properties of the radial tchebichef moments for hand-written digits. Poster session presented at the meeting of 29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014. Hamilton
[Conference Poster]Authored by: Reyes, N., Susnjak, T.
Barczak, ALC., Susnjak, T., & Reyes, NH. (2014). Characterisation of the discriminative properties of the Radial Tchebichef Moments for hand-written digits. ACM International Conference Proceeding Series. Vol. 19-21-November-2014 (pp. 154 - 159).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Susnjak, T., Barczak, A., & Reyes, N. (2013). A decomposition machine-learning strategy for automated fruit grading. Lecture Notes in Engineering and Computer Science. Vol. 2 (pp. 819 - 825).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Barczak, ALC., Susnjak, T., Reyes, NH., & Jonhson, MJ. (2013). Colour segmentation for multiple low dynamic range images using boosted cascaded classifiers. http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6710229. (pp. 136 - 141). : IVCNZ 2013 (International Conference on Image and Vision Computing New Zealand
[Conference Paper in Published Proceedings]Authored by: Johnson, M., Reyes, N., Susnjak, T.
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Reyes, NH., Barczak, ALC., & Susnjak, T. (2013). Tuning fuzzy-based hybrid navigation systems using calibration maps. Advances in Intelligent Systems and Computing. Vol. 208 AISC (pp. 713 - 722).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Reyes, N., Barczak, A., & Susnjak, T. (2012, December). Tuning fuzzy-based hybrid navigation systems using calibration maps. Presented at The 1st International Conference on Robot Intelligence Technology and Applications 2012 (RITA 2012). Gwangju, South Korea.
[Conference Oral Presentation]Authored by: Reyes, N., Susnjak, T.
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Susnjak, T., Barczak, A., Reyes, N., & Hawick, K. (2012). Multiclass cascades for ensemble-based boosting algorithms. Frontiers in Artificial Intelligence and Applications. Vol. 241 (pp. 330 - 335).
[Conference Paper in Published Proceedings]Authored by: Reyes, N., Susnjak, T.
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Kloss, G., & Reyes, NH. (2006). Unified architecture for concurrent artificial intelligence in robotic systems. Poster session presented at the meeting of 6th International Conference on Hybrid Intelligent Systems & 4th Conference on Neuro-Computing and Evolving Intelligence. Auckland University of Technology, Auckland, NZ
[Conference Poster]Authored by: Reyes, N.
Reyes, NH., Dadios, EP., IEEE, ., & IEEE, .A fuzzy approach in color object detection. IEEE ICIT' 02: 2002 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY, VOLS I AND II, PROCEEDINGS. (pp. 232 - 237).
[Conference]Authored by: Reyes, N.
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Other

Barczak, A., Reyes, N., & Susnjak, T. (2019). Assessment of the local tchebichef moments method for texture classification by fine tuning extraction parameters. : arXiv
[Working Paper]Authored by: Reyes, N., Susnjak, T.
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Teaching and Supervision

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. 

Contact Supervisor

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


Dr Napoleon Reyes is available for Masters and Doctorial supervision.

Summary of Doctoral Supervision

Position Current Completed
Main Supervisor 2 2
Co-supervisor 0 2

Current Doctoral Supervision

Main Supervisor of:

  • Martin Brenner - Doctor of Philosophy
    Multimodal object perception
  • Mona Alshehri - Doctor of Philosophy
    Evolving and Co-Evolving Meta-Level Reasoning Strategies for Multi-Agent Collaboration

Completed Doctoral Supervision

Main Supervisor of:

  • 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