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Dr. Harith Fadhil Hussein Al-Sahaf
Lecturer Doctor

Dr. Harith Fadhil Hussein Al-Sahaf

Faculty member

Cybersecurity Engineering Department • College of Engineering and Information Technology
[email protected]

Academic Degree

PhD

Granting University

Victoria University of Wellington

General Specialization

Computer Science

Exact Specialization

Software Engineering

Scientific Research, Books & Publications

  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Genetic Programming for Malignancy Diagnosis from Breast Cancer Histopathological Images: A Feature Learning Approach. IEEE Transactions on Emerging Topics in Computational Intelligence, 10(2): 1123–1136. 2026.
  • Abdullah Al Mamun, Harith Al-Sahaf, Ian Welch, Masood Mansoori, and Seyit Camtepe. Detection of Advanced Persistent Threat: A Genetic Programming Approach. Applied Soft Computing, 167(2024): 1–14. 2024.
  • Abdullah Al Mamun, Harith Al-Sahaf, Ian Welch, and Seyit Camtepe. Genetic Programming for Enhanced Detection of Advanced Persistent Threats through Feature Construction. Computers & Security, 149(2025): 1–18. 2024.
  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection. IEEE Computational Intelligence Magazine, 19(3): 26–41. 2024.
  • Taran Cyriac John, Muhammad Shabbir Abbasi, Harith Al-Sahaf, Ian Welch, and Julian Jang-Jaccard. Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution. Computers & Security, 129: 1–13. 2023.
  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming. IEEE Transactions on Cybernetics, 53(5): 2727–2740. 2023.
  • Hooman Alavizadeh, Julian Jang-Jaccard, Simon Yusuf Enoch, Harith Al-Sahaf, Ian Welch, Seyit Camtepe, and Dan Dongseong Kim. A Survey on Cyber Situation-awareness Systems: Framework, Techniques, and Insights. ACM Computing Surveys, 55(5): 1–37. 2022.
  • Muhammad Shabbir Abbasi, Harith Al-Sahaf, Masood Mansoori, and Ian Welch. Behavior-based ransomware classification: A particle swarm optimization wrapper-based approach for feature selection. Applied Soft Computing, 121(2022): 108744. 2022.
  • Jinting Zhu, Julian Jang-Jaccard, Amardeep Singh, Ian Welch, Harith Al-Sahaf, and Seyit Camtepe. A few-shot meta-learning based siamese neural network using entropy features for ransomware classification. Computers & Security, 117: 102691. 2022.
  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Genetic programming for automatic skin cancer image classification. Expert Systems with Applications, 197(x): 116680. 2022.
  • Junaid Haseeb, Masood Mansoori, Yuichi Hirose, Harith Al-Sahaf, and Ian Welch. Autoencoder-based feature construction for IoT attacks clustering. Future Generation Computer Systems, 127: 487–502. 2022.
  • Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, and Mengjie Zhang. An automatic feature construction method for salient object detection: A genetic programming approach. Expert Systems With Applications, 186: 1–30. 2021.
  • Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, and Mengjie Zhang. Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances. Evolutionary Computation (Journal, MIT Press), 29(3): 331–366. 2021.
  • Qurrat ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, 5(4): 554–569. 2021.
  • Harith Al-Sahaf, Ying Bi, Qi Chen, Andrew Lensen, Yi Mei, Yanan Sun, Binh Tran, Bing Xue, and Mengjie Zhang. A survey on evolutionary machine learning. Journal of the Royal Society of New Zealand (TNZR), 49(2): 205–228. 2019.
  • Muhammad Iqbal, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Genetic programming with transfer learning for texture image classification. Soft Computing, 23(23): 12859–12871. 2019.
  • Harith Al-Sahaf, Mengjie Zhang, Ausama Al-Sahaf, and Mark Johnston. Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors. IEEE Transactions on Evolutionary Computation, 21(6): 825–844. 2017.
  • Muhammad Iqbal, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification. IEEE Transactions on Evolutionary Computation, 21(4): 569–587. 2017.
  • Harith Al-Sahaf, Ausama Al-Sahaf, Bing Xue, Mark Johnston, and Mengjie Zhang. Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming. IEEE Transactions on Evolutionary Computation, 21(1): 83–101. 2017.
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. Binary Image Classification: A Genetic Programming Approach to the Problem of Limited Training Instances. Evolutionary Computation (Journal, MIT Press), 24(1): 143–182. 2016.
  • Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. Two-Tier genetic programming: towards raw pixel-based image classification. Expert Systems with Applications, 39(16): 12291–12301. 2012.
  • Harith Al-Sahaf, Pablo Mesejo, Ying Bi, and Mengjie Zhang (Eds.). Special Issue on Evolutionary deep learning for computer vision and image processing. Volume 151.Elsevir. January 2024. ISSN:1568-4946
  • Harith Al-Sahaf, Mark A Gregory, and Ian Welch (Eds.). Proceedings of the 32nd International Telecommunication Networks and Applications Conference (ITNAC). IEEE. Wellington, New Zealand, 30 November–2 December 2022. ISSN:2474-154X
  • Ramesh Rayudu, Bing Xue, Harith Al-Sahaf, Andrew Chalmers, Yi Mei, Andrew Lensen, and Qi Chen (Eds.). Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ 2020). IEEE. Wellington, New Zealand, 25–27 November 2020.
  • Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, and Mengjie Zhang (Eds.). Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Volume 97.Elsevir. December 2020. ISSN:1568-4946
  • Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, and Mengjie Zhang. Genetic Programming with Co-operative Co-evolution for Feature Manipulation in Basal Cell Carcinoma Identification. In Proceedings of the 25th International Conference on the Applications of Evolutionary Computation, volume 15612, of Lecture Notes in Computer Science, pages 254–269. Springer, 2025. (˘lNomated for Best Paper Award)
  • Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, and Mengjie Zhang. Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach. In Proceedings of the 24th International Conference on the Applications of Evolutionary Computation, volume 14634, of Lecture Notes in Computer Science, pages 413–429. Springer, 2024. (˘lBest Paper Award)
  • Muhammad Shabbir Abbasi, Harith Al-Sahaf, and Ian Welch. Particle Swarm Optimization: A Wrapper-based Feature Selection Method for Ransomware Detection and Classifcation. In Proceedings of the 23rd International Conference on the Applications of Evolutionary Computation (EvoApplications 2020), volume 12104, of Lecture Notes in Computer Science, pages 181–196. Springer, 2020.
  • Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, and Mengjie Zhang. Genetic Programming with Pareto Local Search for Many-Objective Job Shop Scheduling. In Proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence (AI 2019), volume 11919, of Lecture Notes in Computer Science, pages 536–548. Springer, 2019.
  • Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, and Mengjie Zhang. Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection. In Proceedings of the 22nd International Conference on the Applications of Evolutionary Computation (EvoApplications 2019), volume 11454, of Lecture Notes in Computer Science, pages 308–324. Springer, 2019.
  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. A Multi-tree Genetic Programming Representation For Melanoma Detection Using Local and Global Features. In Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI 2018), volume 11320, of Lecture Notes in Artificial Intelligence, pages 111–123. Springer, 2018.
  • Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, and Mengjie Zhang. A Genetic Programming approach for Constructing Foreground and Background Saliency Features for Salient Object Detection. In Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence (AI 2018), volume 11320, of Lecture Notes in Artificial Intelligence, pages 209–215. Springer, 2018.
  • Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification. In Proceedings of the 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), volume 11012, of Lecture Notes in Computer Science, pages 732–745. Springer, 2018.
  • Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors. In Proceedings of the 11th International Conference on Simulated Evolution And Learning (SEAL 2017), volume 10593, of Lecture Notes in Computer Science, pages 499–511. Springer, 2017. (˘lBest Paper Award)
  • Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue. Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data. In Proceedings of the 19th European Conference on Genetic Programming (EuroGP 2016), volume 9594, of Lecture Notes in Computer Science, pages 51–67. Springer, 2016.
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances. In Proceedings of the 10th International Conference on Simulated Evolution and Learning (SEAL 2014), volume 8886, of Lecture Notes in Computer Science, pages 335–346. Springer, 2014.
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. A One-Shot Learning Approach to Image Classification Using Genetic Programming. In Proceedings of the 26th Australasian Joint Conference on Artificial Intelligence (AI 2013), volume 8272, of Lecture Notes in Computer Science, pages 110–122. Springer, 2013.
  • Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, and Mengjie Zhang. Genetic programming with adaptive reference points for pareto local search in many-objective job shop scheduling. In Proceedings of the 36th Australasian Joint Conference on Artificial Intelligence, volume 14472, of Lecture Notes in Computer Science, pages 466–478, 2023. Springer
  • Taran John, Qurrat ul Ain, Harith Al-Sahaf, and Mengjie Zhang. Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach. In Proceedings of the 39th Conference on Image Vision and Computing New Zealand (IVCNZ 2024), pages 1–6, 2024. IEEE
  • Abdullah Al Mamun, Harith Al-Sahaf, Ian Welch, Marinho Barcellos, and Seyit Camtepe. Limitations of Advanced Persistent Threat Datasets: Insights for Cybersecurity Research. In Proceedings of the 34th IEEE International Telecommunication Networks and Applications Conference (ITNAC 2024), pages 1–8, 2024. IEEE
  • Qurrat ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach. In Proceedings of the 2024 Genetic and Evolutionary Computation Conference (GECCO 2024), pages 1363–1372, 2024. ACM
  • Qurrat ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Exploring interpretability of genetic programming models in computer-aided diagnosis of skin cancer images. In Proceedings of the 2024 IEEE Congress on Evolutionary Computation (CEC 2024), pages 1–8, 2024. IEEE
  • Qurrat ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Skin cancer detection with multimodal data: A feature selection approach using genetic programming. In Proceedings of the 21st Australasian Data Mining Conference (AusDM 2023), pages 254–269, 2023. Springer
  • Qurrat ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection. In Proceedings of the 2023 Genetic and Evolutionary Computation Conference (GECCO 2023), pages 707–710, 2023. ACM
  • Abdullah Al Mamun, Harith Al-Sahaf, Ian Welch, and Seyit Camtepe. Advanced Persistent Threat Detection: A Particle Swarm Optimization Approach. In Proceedings of the 32nd IEEE International Telecommunication Networks and Applications Conference (ITNAC 2022), pages 1–8, 2022. IEEE (˘lHonourable Mention Award)
  • Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. In Proceedings of the 22nd IEEE International Conference on Data Mining Workshops (ICDMW 2022), pages 378–387, 2022. IEEE
  • Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, and Mengjie Zhang. Genetic Programming Hyper-heuristic with Gaussian Process-based Reference Point Adaption for Many-Objective Job Shop Scheduling. In Proceedings of IEEE Congress on Evolutionary Computation (CEC 2022), pages 1–8, 2022. IEEE
  • Taran Cyriac John, Muhammad Shabbir Abbasi, Harith Al-Sahaf, and Ian Welch. Automatically Evolving Malice Scoring Models through Utilisation of Genetic Programming: A Cooperative Coevolution Approach. In Proceedings of the 2022 Genetic and Evolutionary Computation Conference (GECCO 2022), pages 562–565, 2022. ACM
  • Muhammad Shabbir Abbasi, Harith Al-Sahaf, and Ian Welch. Automated Behavior-based Malice Scoring of Ransomware Using Genetic Programming. In Proceedings of 2021 IEEE Symposium Series on Computational Intelligence (SSCI 2021), pages 1–8, 2021. IEEE
  • Aisha Ajmal, Harith Al-Sahaf, and Christopher Hollitt. Salient motion features for visual atention models. In Proceedings of the 35th Conference on Image Vision and Computing New Zealand (IVCNZ 2020), pages 1–6, 2020. IEEE
  • Junaid Haseeb, Masood Mansoori, Harith Al-Sahaf, and Ian Welch. IoT Attacks: Features Identification and Clustering. In Proceedings of the 19th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2020), pages 353–360, 2020. IEEE
  • Atiya Masood, Gang Chen, Yi Mei, Harith Al-Sahaf, and Mengjie Zhang. A Fitness-based Selection Method for Pareto Local Search for Many-Objective Job Shop Scheduling. In Proceedings of 2020 IEEE Congress on Evolutionary Computation (CEC 2020), pages 1–8, 2020. IEEE
  • Qurrat ul Ain, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. A Genetic Programming Approach to Feature Construction for Ensemble Learning in Skin Cancer Detection. In Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO 2020), pages 1186–1194, 2020. ACM
  • Hassan Tariq, Ian Welch, and Harith Al-Sahaf. Modelling and Prediction of Resource Utilization of Hadoop Clusters: A Machine Learning Approach. In Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2019), pages 93–100, 2019. ACM
  • Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification. In Proceedings of the 34th International Conference on Image and Vision Computing New Zealand (IVCNZ 2019), pages 1–6, 2019. IEEE
  • Harith Al-Sahaf, and Ian Welch. A genetic programming approach to feature selection and construction for ransomware, phishing and spam detection. In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO 2019), pages 332–333, 2019. ACM
  • Brandon Muller, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Transfer Learning: A Building Block Selection in Genetic Programming for Symbolic Regression. In Proceedings of the 2019 Genetic and Evolutionary Computation Conference (GECCO 2019), pages 350–351, 2019. ACM
  • Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Multi-tree Genetic Programming with a New Fitness Function for Melanoma Detection. In Proceedings of 2019 IEEE Congress on Evolutionary Computation (CEC 2019), pages 880–887, 2019. IEEE
  • Aisha Ajmal, Christopher Hollitt, Marcus Frean, and Harith Al-Sahaf. A Comparison of RGB and HSV Colour Spaces for Visual Attention Models. In Proceedings of the 33rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2018), pages 1–6, 2018. IEEE
  • Shima Afzali, Harith Al-Sahaf, Bing Xue, Christopher Hollitt, and Mengjie Zhang. Foreground and Background Feature Fusion using a Convex Hull based Center Prior for Salient Object Detection. In Proceedings of the 33rd International Conference on Image and Vision Computing New Zealand (IVCNZ 2018), pages 1–6, 2018. IEEE
  • Hassan Tariq, Ian Welch, and Harith Al-Sahaf. An Investigation of Hadoop Parameters in SDN-enabled Clusters. In Proceedings of the 12th International Conference on Mathematics, Actuarial, Computer Science & Statistics (MACS 2018), pages 1–6, 2018. IEEE
  • Benjamin Evans, Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification. In Proceedings of 2018 IEEE Congress on Evolutionary Computation (CEC 2018), pages 1538–1545, 2018. IEEE
  • Shima Afzali, Bing Xue, Harith Al-Sahaf, Christopher Hollitt, and Mengjie Zhang. A Supervised Feature Weighting Method for Salient Object Detection using PSO. In Proceedings of 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017), pages 1–8, 2017. IEEE
  • Harith Al-Sahaf, Bing Xue, and Mengjie Zhang. Evolving Texture Image Descriptors Using A Multitree Genetic Programming Representation. In Proceedings of the 2017 Genetic and Evolutionary Computation Conference (GECCO 2017), pages 219–220, 2017. ACM
  • Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Genetic programming for skin cancer detection in dermoscopic images. In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC 2017), pages 2420–2427, 2017. IEEE
  • Damien O'Neill, Bing Xue, Harith Al-Sahaf, and Mengjie Zhang. Common subtrees in related problems: A novel transfer learning approach for genetic programming. In Proceedings of 2017 IEEE Congress on Evolutionary Computation (CEC 2017), pages 1287–1294, 2017. IEEE
  • Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Bing Xue. A Hybrid Genetic Programming Approach to Feature Detection and Image Classification. In Proceedings of the 30th International Conference on Image and Vision Computing New Zealand (IVCNZ 2015), pages 1–6, 2015. IEEE
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. Evolutionary Image Descriptor: A Dynamic Genetic Programming Representation for Feature Extraction. In Proceedings of the 2015 Genetic and Evolutionary Computation Conference (GECCO 2015), pages 975–982, 2015. ACM
  • Andrew Lensen, Harith Al-Sahaf, Mengjie Zhang, and Brijesh Verma. Genetic Programming for Algae Detection in River Images. In Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2468–2475, 2015. IEEE
  • Harith Al-Sahaf, Mengjie Zhang, Mark Johnston, and Brijesh Verma. Image Descriptor: A Genetic Programming Approach to Multiclass Texture Classification. In Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2460–2467, 2015. IEEE (˘lOverall Best Paper Award)
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. Genetic Programming Evolved Filters from a Small Number of Instances for Multiclass Texture Classification. In Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ 2014), pages 84–89, 2014. ACM
  • Harith Al-Sahaf, Mengjie Zhang, and Mark Johnston. Binary image classification using genetic programming based on local binary patterns. In Proceedings of the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ 2013), pages 220–225, 2013. Springer
  • Harith Al-Sahaf, Andy Song, and Mengjie Zhang. Hybridisation of Genetic Programming and Nearest Neighbour for classification. In Proceedings of 2013 IEEE Congress on Evolutionary Computation (CEC 2013), pages 2650–2657, 2013. IEEE
  • Harith Al-Sahaf, Andy Song, Kourosh Neshatian, and Mengjie Zhang. Extracting Image Features for Classification by Two-tier Genetic Programming. In Proceedings of 2012 IEEE Congress on Evolutionary Computation (CEC 2012), pages 567–574, 2012. IEEE
  • Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. Automatic feature extraction and image classification using genetic programming. In Proceedings of the 5th International Conference on Automation, Robots and Applications (ICARA 2011), pages 157–162, 2011. IEEE Press
  • Harith Al-Sahaf, Kourosh Neshatian, and Mengjie Zhang. Two-tier genetic programming for automatic feature extraction, feature selection and image classification. In Proceedings of the 26th International Conference on Image and Vision Computing New Zealand (IVCNZ 2011), pages 109–114, 2011. IEEE

Supervision (Master's/PhD Theses)

  • (PhD) Machine Learning for Extracting Clinically Oriented Features for Skin Cancer Detection: Student: Taran C. John, 2023-present, Victoria University of Wellington.
  • (PhD) Advanced Persistent Threat Detection System using Heterogeneous Honeypots and Artificial Intelligence: Student: Abdullah Mamun, 2021--present, Victoria University of Wellington.
  • (PhD) Utilising Machine Learning Techniques for Ransomware Detection and Classification: Student: Muhammad Shabbir Abbasi, 2018-2023, Victoria University of Wellington.
  • (PhD) Genetic Programming based Feature Manipulation for Skin Cancer Image Classification: Student: Qurrat Ul Ain, 2017-2020, Victoria University of Wellington.
  • (PhD) Many-Objective Genetic Programming for Job-Shop Scheduling: Student: Atiya Masood, 2015-2021, Victoria University of Wellington.
  • (PhD) Resource and Performance Modelling of Hadoop Clusters Using Machine Learning: Student: Hassan Tariq, 2017-2020, Victoria University of Wellington.
  • (PhD) Evolutionary Computation for Feature Manipulation in Salient Object Detection: Student: Shima Afzali Vahed Moghaddam, 2016-2020, Victoria University of Wellington.
  • (MSc) Active Shift Attention Based Object Tracking System: Student: Aisha Ajmal, 2015-2020, Victoria University of Wellington.
  • (MCompSc) Using PSO Techniques to Schedule Code Segment Generation for the Fuzzing JavaScript Engines: Student: Keagan John Kuehn,2021, Victoria University of Wellington.
  • (MCompSc) Identification of Irrigated Land Using Machine Learning Techniques: Student: Harsh Panchal, 2021, Victoria University of Wellington.