Teaching/Tought in

  • Lecturer and Course Coordinator: 2023
  • Lecturer and Course Coordinator: 2022
  • Lecturer and Course Coordinator: 2021
  • Lecturer: 2020
  • Lecturer: 2019
  • Lecturer: 2018
  • Lecturer and Course Coordinator: 2023
  • Lecturer and Course Coordinator: 2022
  • Lecturer: 2020
  • Lecturer: 2019
  • Lecturer and Course Coordinator: 2023
  • Lecturer and Course Coordinator: 2022
  • Lecturer and Course Coordinator: 2021
  • Lecturer: 2020
  • Lecturer and Course Coordinator: 2023
  • Lecturer: 2022
  • Lecturer and Course Coordinator: 2023

Supervision

  • Taran C. John, "Application of AI in Skin Cancer Detection", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with Dr. Qurrat ul Ain and Prof. ).
  • Abdullah Al Mamun, "Autonomous Advanced Persistent Threat Detection System using Heterogeneous Honeypots and Artificial Intelligence", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with A/Prof. Ian Welch).
  • Muhammad Shabbir Abbasi, "Automating Behaviour-based Ransomware Analysis, Detection and Classification Using Machine Learning", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with A/Prof. Ian Welch).
  • Hassan Tariq, "Resource and Performance Modelling of Hadoop Clusters Using Machine Learning", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with A/Prof. Ian Welch).
  • Qurrat ul Ain, "Genetic Programming based Feature Manipulation for Skin Cancer Image Classification", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with Prof. Mengjie Zhang and Prof. Bing Xue).
  • Shima Afzali, "Evolutionary Computation for Feature Manipulation in Salient Object Detection", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with Prof. Mengjie Zhang, Dr. Christopher Hollitt, and Prof. Bing Xue).
  • Atiya Masood, "Many-Objective Genetic Programming for Job-Shop Scheduling", Victoria University of Wellington, Victoria Doctoral Scholarship (co-supervised with Dr. Aaron Chen, Dr. Yi Mei, and Prof. Mengjie Zhang).
  • MSc
  • MCompSci
    • Keagan Kuehn, "Using PSO Techniques to Schedule Code Segment Generation for the Fuzzing JavaScript Engines", Victoria University of Wellington, 22 Feb–22 Nov 2021 (co-supervised with A/Prof. Ian Welch).
    • Harsh Panchal, "Identification of Irrigated Land Using Machine Learning Techniques", Victoria University of Wellington, 22 Feb–20 Jun 2021 (co-supervised with Dr. Andrew Lensen).
  • Taran C. John, "An Automated Approach to Evolving Malice Scoring Modules for Multi-class Classification of Ransomware", Victoria University of Wellington, 28 Feb–12 Nov 2022 (co-supervised with A/Prof. Ian Welch and Muhammad Shabbir Abbasi).
  • Jaya Narayan, "Generating Content Security Policy Automatically", Victoria University of Wellington, 28 Feb–12 Nov 2022 (co-supervised with A/Prof. Ian Welch and Kirk Jackson).
  • Emma Taumoepeau, "TARAWERA: A Framework for Automating Data Collection of CALDERA Adversaries", Victoria University of Wellington, 28 Feb–12 Nov 2022 (co-supervised with A/Prof. Ian Welch).
  • Morgan Hucker, "Open-source Intelligence for Determining Internet Exposure of Personnel", Victoria University of Wellington, 28 Feb–12 Nov 2022 (co-supervised with A/Prof. Ian Welch).
  • Samantha Glanfield, "Bait & Switch Honeypot", Victoria University of Wellington, 28 Feb–12 Nov 2022 (co-supervised with Dr. Masood Mansoori).
  • Ethan King, "Feature Engineering Using Natural Language Processing for Ransomware Classification", Victoria University of Wellington, 22 Feb–7 Nov 2021 (co-supervised with A/Prof. Ian Welch and Muhammad Shabbir Abbasi).
  • Ryan Yee, "Understanding the Behaviours of Humans and Automated Attackers on an IoT Attack Surface", Victoria University of Wellington, 22 Feb–7 Nov 2021 (co-supervised with Dr. Masood Mansoori and Junaid Haseeb).
  • Jordan Oldridge, "A Genetic Programming Approach to Feature Selection, Construction and Extraction for DDoS Attack Detection", Victoria University of Wellington, 2 Mar–8 Nov 2020 (co-supervised with A/Prof. Ian Welch).
  • Benjamin Evans, "Genetic Programming for Evolutionary Deep Learning for Image Classification", Victoria University of Wellington, 29 Feb–16 Nov 2017 (co-supervised with Prof. Mengjie Zhang and A/Prof. Bing Xue).
  • Andrew Lensen, "Genetic Programming for Image Classification using High-Level Features", Victoria University of Wellington, 02 March–15 Nov 2015 (co-supervised with Prof. Mengjie Zhang and A/Prof. Bing Xue).
  • Taran C. John, "Automatic Feature Extraction: A Genetic Programming Approach for Skin Cancer Diagnosis", Nov 2022–Feb 2023, Victoria University of Wellington (co-supervised with Dr. Qurrat ul Ain).
  • Taran C. John, "An Automated Approach to Evolving Scoring Module for Cuckoo Sandbox by Utilising Genetic Programming", Nov 2021–Feb 2022, Victoria University of Wellington (co-supervised with A/Prof. Ian Welch and Muhammad Shabbir Abbasi).
  • Finn Sargisson, "Quantifying Features in Shellfish Images", Nov 2020–Feb 2021, Victoria University of Wellington and Cawthron Institute (co-supervised with Nick King).
  • Brandon Mullar, "Buildingblock Selection in Transfer Learning for Genetic Programming", Oct 2018–Feb 2019, Victoria University of Wellington (co-supervised with Prof. Mengjie Zhang and Prof. Bing Xue).
  • Benjamin Evans, "Genetic Programming and Gradient Decsent: A Memetic Approach to Binary Image Classification", Oct 2017-Feb 2018, Victoria University of Wellington (co-supervised with Prof. Mengjie Zhang and Prof. Bing Xue).
  • Damien O'Neill, "Transfer Learning Approach for Genetic Programming", Oct 2016–Feb 2017, Victoria University of Wellington (co-supervised with Prof. Mengjie Zhang and Prof. Bing Xue).
  • Andrew Lensen, "Genetic programming for Algae Detection in River Images", Oct 2014–Feb 2015, Victoria University of Wellington (co-supervised with Prof. Mengjie Zhang).

Last updated on Dec 21, 2022