Past Research Students

Research Thesis Students

  • Kaan Demir: Sparsity-based Dimensionality Reduction for Multi-label Classification, PhD Thesis. 1 April 2021, Wellington Doctoral Scholarship. (with Dr Bach Nguyen and Prof Bing Xue)
  • Christian Raymond: Meta Learning for Loss Function Learning, PhD Thesis. 1 March 2021, Wellington Doctoral Scholarship. (with Dr Qi Chen and Prof Bing Xue)
  • Hamish O'Keeffe, Machine Learning Techniques for Modeling Shellfish Harvest Assessments, MSc Thesis, 1 July 2022. (Callaghan and MBIE Scholarship)(with Prof Bing Xue and Nelson AI Institute)
  • Meng Xu: Genetic Programming for Dynamic Flexible Job Shop Scheduling, PhD Thesis. 1 Nov 2020-Feb 2024, Wellington Doctoral Scholarship.(with A/Prof Yi Mei, Dr Fangfang Zhang and Prof Mengjie Zhang)
  • Jiabin Lin: Evolutionary Transfer Learning for Feature Selection in Classification, PhD Thesis. 1 Nov 2020-Feb 2024, Wellington Doctoral Scholarship.(with Dr Qi Chen and Prof Bing Xue and Prof Mengjie Zhang)
  • Zhixing Huang: Linear Genetic Programming for Dynamic Job Shop Scheduling, PhD Thesis. 1 Nov 2020-Feb 2024, China Scholarship Council. (with A/Prof Yi Mei, Dr Fangfang Zhang, and Prof Mengjie Zhang)
  • Junhao Huang: Evolutionary Design of Deep Convolutional Neural Networks, PhD Thesis. 1 Nov 2020-Feb 2024, China Scholarship Council. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Gonglin Yuan: Evolutionary Neural Architecture Search for Image Classification, PhD Thesis. 1 July 2020, Wellington Doctoral Scholarship (with Prof Bing Xue and Prof Mengjie Zhang)
  • Trevor Londt: Evolutionary Computation and Deep Neural Networks for Text Mining. PhD Thesis. 1 March 2019. Victoria Master Scholarship.(with A/Prof Xiaoying Sharon Gao and A/Prof Peter Andreae)
  • Shaolin Wang: Genetic Programming Hyper-heuristic for uncertain arc routing problems, PhD Thesis. 1 Nov 2019, Victoria Doctoral Scholarship. (with A/Prof Yi Mei and Prof Mengjie Zhang)
  • Joao Costa: Hyper-heuristics for vehicle routing problems, PhD Thesis. 1 Sep 2019, Victoria Doctoral Scholarship. (with A/Prof Yi Mei and Prof Mengjie Zhang)
  • Qinglan Fan: Evolutionary Computation for Computer Vision, PhD Thesis. 1 Nov 2019, Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Harisu Abdullahi Shehu: Emotion Detection and its Effect on Decision-making, PhD Thesis. 1 Nov 2019, Victoria Doctoral Scholarship. (with Prof Will Browne and Dr Hedwig Eisenbarth)
  • Kosisochukwu Madukwe: Text Mining. PhD Thesis. 1 May 2019. (with A/Prof Xiaoying Sharon Gao and Prof Bing Xue)
  • Bin Wang: Evolving Deep Neural Networks for Image Classification. PhD Thesis. 1 March 2019. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Shabbir Abbasi: Emotion Detection, PhD Thesis. 1 Nov 2018, Victoria Doctoral Scholarship. (with A/Prof Ian Welch and Dr Harith Al-Sahaf)
  • Tao Shi: Location-aware and Cost-effective Application Placement in Multi-cloud Environment. PhD Thesis. 1 Oct 2018. Victoria Doctoral Scholarship. (with A/Prof Hui Ma and Dr Aaron Chen)
  • Ramya Anasseriyil Viswambaran: Machine learning for IOT. PhD Thesis. 1 Sep 2018. (with Dr Aaron Chen and Prof Bing Xue)
  • Mazhar Ansari Ardeh: Genetic programming for Job Shop Scheduling. PhD Thesis. 1 Jul 2018. Victoria Doctoral Scholarship. (with A/Prof Yi Mei and Prof Mengjie Zhang)
  • Damien O'Neill: Evolving Deep Learning. PhD Thesis. 1 Mar 2018. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Mahdi Abdollahi: Evolutionary Text Mining and Feature Selection. PhD Thesis. 1 Nov 2017. Victoria Doctoral Scholarship. (with A/Prof Yi Mei and A/Prof Xiaoying Sharon Gao)
  • Xiu Cheng: Learning Classifier System. PhD Thesis. 1 Jun 2015. (with Prof Will Browne and Prof Mengjie Zhang)
  • Peng Wang: Evolutionary Computation for Feature Selection, PhD Thesis. 1 Nov 2019-31st January 2023, China Scholarship Council. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Baligh Al-Helali: Genetic Programming for symbolic regression, PhD Thesis. 1 Dec 2017--. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Fangfang Zhang: Evolutionary Job Shop Scheduling, PhD Thesis. 1 Nov 2017-Feb 2021. (with A/Prof Yi Mei and Prof Mengjie Zhang)
  • Wenbin Pei: Evolutionary Machine Learning, PhD Thesis. 1 Nov 2017--. China Scholarship Council. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Yi Liu: Transfer Learning using Learning Classifier Systerm, PhD Thesis. 1 Sep 2017--. (with Prof Will Browne and Prof Bing Xue)
  • Soheila Sadeghiram: TBA, PhD Thesis. 1 Sep 2017--. Victoria Doctoral Scholarship. (with A/Prof Hui Ma)
  • Abubakar Siddique: Learning Classifier System, PhD Thesis. 1 Aug 2017--. (with Prof Will Browne and Dr Christopher Hollitt)
  • Trung Nguyen: Learning Classifier System, PhD Thesis. 1 Apr 2017--. Victoria Doctoral Scholarship. (with Prof Will Browne and Prof Mengjie Zhang)
  • Ying Bi: Genetic Programming for Feature Learning in Image Classification, PhD Thesis. 1 March 2017--. China Scholarship Council. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Boxiong Tan: Energy-efficient server consolidation in container-based clouds with evolutionary computation approaches, PhD Thesis. 1 Oct 2016--, (with A/Prof Hui Ma and A/Prof Yi Mei)
  • Chen Wang: Comprehensive Quality-Aware Automated Semantic Web Service Composition, PhD Thesis. 11 Jul 2016--, (with A/Prof Hui Ma)
  • Victoria Huang: Towards Load Balancing and Resource Scheduling in Distributed SDN Controller Architectures, PhD Thesis. 1 Aug 2016--. Victoria Doctoral Scholarship. (with Dr Aaron Chen and Dr Qiang Fu)
  • Qurrat Ul Ain: Feature Manipulation using Genetic Programming for Medical Image Classification, PhD Thesis. 1 Jul 2016--. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Samaneh Azari: Identification of Post-translational Modifications of Proteins from Tandem Mass Spectra Data using Genetic Programming, PhD Thesis. 1 May 2016--. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang, Prof Bing Xue, and Dr Lifeng Peng )
  • Shima Afzali: Salient Object Detection based on Input Feature Set Improvement, PhD Thesis. 1 Apr 2016--. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
  • Zheming Zhang (Tony): Learning Classifier System. PhD Thesis. 1 Nov 2015--. (with Prof Will Browne and Prof Dale Carnegie)
  • Atiya Masood: Genetic programming for Job Shop Scheduling. PhD Thesis. 1 Apr 2015--. Victoria Doctoral Scholarship. (with Dr Aaron Chen, Prof Mengjie Zhang, and A/Prof Yi Mei)
  • Hoai Bach Nguyen: Evolutionary computation for filter feature reduction in classification. PhD Thesis. 1 Apr 2015 - June 2018. Victoria Doctoral Scholarship. (with Prof Bing Xue and A/Prof Peter Andreae) Thesis PDF
  • Cao Truong Tran: Evolutionary computation for classification with missing data. PhD Thesis. 1 Sep 2014 - March 2018.(with Prof Mengjie Zhang and A/Prof Peter Andreae) Thesis PDF
  • Binh Tran: Evolutionary computation for feature manipulation in classification on high-dimensional data. PhD Thesis. 1 March 2014 - August 2017.(with Prof Mengjie Zhang and PersonTitle:BingXue)Thesis PDF
  • Qi Chen: Improving the Generalisation of Genetic Programming for Symbolic Regression. PhD Thesis. 1 Aug 2014 - Nov 2017. (with Prof Mengjie Zhang and Prof Bing Xue) Thesis PDF
  • Yuyu Liang: Genetic Programming for Supervised Figure-ground Image Segmentation, PhD Thesis. June 2014- Dec 2017. China Scholarship Council. (with PersonTitle: MengjieZhang and PersonTitle:WillBrowne)Thesis PDF
  • Saeed Mirghasemi: Particle Swarm Optimization and Fuzzy C-means for Domain-independent Noisy Image Segmentation . PhD Thesis. 2013 - 2017. Victoria Doctoral Scholarship. (with A/Prof Ramesh Rayudu and Prof Mengjie Zhang) Thesis PDF
  • Emrah Hancer Artificial bee colony optimisation for feature selection, Visiting PhD from Erciyes Üniversitesi, Turkey, Sep 2014 -- Aug 2015 (with Prof Bing Xue and Prof Mengjie Zhang)
  • Isidro Alvarez: Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.PhD Thesis. 2013. Victoria Doctoral Scholarship (with Prof Will Browne and Prof Mengjie Zhang) Thesis PDF
  • Harith Al-Sahaf : Genetic Programming for Automatically Synthesising Robust Image Descriptors with A Small Number of Instances. March 2013 - Sep 2016. Victoria Doctoral Scholarship (Partial). (with Prof Mengjie Zhang and Dr Mark Johnston) Thesis PDF
  • Rachel Hunt:Genetic Programming Hyper-heuristics for Job Shop Scheduling. PhD Thesis. 2012 - 2016. (With Dr Mark Johnston and PersonTitle:MengjieZhang)Thesis PDF
  • Muhammad Ghifary. Domain Adaptation and Domain Generalization with Representation Learning. PhD Thesis. 2015. Victoria Doctoral Scholarship. (with Prof Bastiaan Kleijn and Prof Mengjie Zhang Thesis PDF
  • Syed Saud Naqvi, Learning Feature Selection and Combination Strategies for Generic Salient Object Detection . PhD Thesis. 2015. Victoria Doctoral Scholarship. (with Dr Christopher Hollitt and Dr Will Browne). Thesis PDF
  • Henry Williams. Human inspired robotic path planning and heterogeneous robotic mapping. PhD Thesis. 2015. Victoria Doctoral Scholarship. (with Dr Will Browne and Prof Dale Carnegie)Thesis PDF
  • Soha Momtaz Ahmed, Genetic Programming for Biomarker Detection in Classification of Mass Spectrometry Data, PhD Thesis. 2015. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Dr Lifeng Peng)Thesis PDF
  • Wenlong (Bruce) Fu, Feature Extraction in Edge Detection using Genetic Programming . PhD Thesis. Sep 2010 - Sep 2013. VC's Strategic PhD Scholarship. (with Dr Mark Johnston and Prof Mengjie Zhang) Thesis PDF
  • Syahaneim Marzukhi, Three-cornered coevolution learning classifier systems for classification. PhD Thesis. 2014. Malaysian Government Scholarship. (with Prof Will Browne and PersonTitle:MengjieZhangThesis PDF
  • Muhammad Iqbal. Improving the Scalability of XCS-Based Learning Classifier Systems. PhD Thesis. Nov 2010 - Dec 2013. Victoria PhD Scholarship. (with Prof Will Browne and PersonTitle:MengjieZhang)Thesis PDF
  • Bing Xue. Particle Swarm Optimisation for Feature Selection in Classification. PhD Thesis. Oct 2010 - Oct 2013. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Will Browne)Thesis PDF
  • Juan Rada-Vilela. Population Statistics for Particle Swarm Optimization on Problems Subject to Noise. PhD Thesis. Sep 2010 - Feb 2014. Victoria PhD Scholarship. (with Prof Mengjie Zhang and Dr MarkJohnston)Thesis PDF
  • Su Nguyen. Automatic Design of Dispatching Rules for Job Shop Scheduling with Genetic Programming. PhD Thesis. Sep 2013 - June 2013 Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Mark Johnston) Thesis PDF
  • Mahdi Setayesh. Particle Swarm Optimisation for Edge Detection in Noisy Images. PhD Thesis, 2012. Victoria PhD Scholarship. (with Prof Mengjie Zhang and Dr MarkJohnston) Thesis PDF
  • Samuel Hindmarsh. Brain Computer Interface. ME Thesis. 2013. Victoria Master (by Research) Scholarship. (with Dr Stuart Marshall and Prof Mengjie Zhang)
  • Urvesh Bhowan, Genetic Programming for Classification with Unbalanced Data, PhD Thesis. 2012. BuildIT PhD Scholarship. (with Prof Mengjie Zhang and Dr MarkJohnston)Thesis PDF
  • Rohitash Chandra, Problem Decomposition and Adaptation in Cooperative Neuro-Evolution, PhD Thesis. 2012. Victoria PhD Scholarship. (with A/Prof Marcus Frean and Prof Mengjie Zhang) Thesis PDF
  • Will Smart. Empirical Analysis of Schemata in Genetic Programming. PhD thesis. 2011. VC's Strategic PhD Scholarship. (with Mengjie Zhang and Peter Andreae)Thesis PDF
  • Kourosh Neshatian, Feature Manipulation with Genetic Programming, PhD Thesis. 2010. Victoria PhD Scholarship. (with Mengjie Zhang and Peter Andreae) Thesis PDF
  • Huayang Jason Xie. An Analysis of Tournament Selection in Genetic Programming. PhD Thesis. 2009. (with Mengjie Zhang and Peter Andreae) Thesis PDF
  • Daniel Atkins. Evolutionary Art and Image Generation. Summer Research Scholarship. Nov 2009 -- Feb 2010. (with Mengjie Zhang and Will Browne)
  • Jan Larres. Genetic Programming for Evolving Loops and Recursive Structures for Classification. Summer Research Scholarship. Nov 2009 -- Feb 2010. (with Mengjie Zhang and Will Browne)
  • Lee Macri. PSO for Image Recognition. Summer Research Scholarship. Nov 2009 -- Feb 2010. (with Mengjie Zhang and Will Browne)
  • Thomas Liddle. Evolutionary Multi-objective Optimisation for Object detection. Summer Research Scholarship. Nov 2009 -- Feb 2010. (with Dr Mark Johnston and Mengjie Zhang)
  • Rachel Hunt. Genetic Programming with Class Imbalance Problems. Summer Research Assistant. Nov 2009 -- Feb 2010. (with Dr Mark Johnston, Mengjie Zhang and Will Browne)
  • Chris Bruniges. Evolutionary Computing for Car Racing. Summer Research Assistant. Nov 2009 -- Feb 2010. (with Will Browne and Mengjie Zhang)
  • Ben Haughey. Learning Classifier Systems. Summer Research Assistant. Nov 2009 -- Feb 2010. (with Will Browne and Mengjie Zhang)
  • Carlton Downey. New Operators in Linear Genetic Programming for Multiclass Classification . BSc(Hon) Project. 2009. (with Mengjie Zhang)
  • Jason Xie. Investigation of Tournament Selection in Genetic Programming. Research Assistant. Oct 2008 -- Dec 2009. (with Mengjie Zhang)
  • Ammar Mohemmed. Particle Swarm Optimisation for (Image) Classification. Research Assistant/Fellow. Oct 2007 -- Feb 2009. (with Mengjie Zhang)
  • Roman Klapaukh. Evolutionary Art , Research Assistant. July -- October 2009. (with Mengjie Zhang)
  • Phillip Wong. Removing Redundancu and Reducing Fitness Evaluation Costs in Genetic Programming. Masters Thesis, 2008. (with Mengjie Zhang)
  • Hamish Evans. Particle Swarm Optimisation for Image Classification. BIT(Honours) Research Project. 2008. (with Mengjie Zhang)
  • Phillip Boyle. Gaussian Processes for Regression and Optimisation. PhD thesis, May 2007. (With Marcus Frean and Mengjie Zhang)
  • Barret Chin. Neural Networks and Genetic Programming for Fast Object Detection. BSc(Honours) Research Project. 2007. (with Mengjie Zhang)
  • Grant Patterson. Fitness Functions in Genetic Programming for Classification with Unbalanced Data. Research assistant. Jan -- Jun 2007. (with Mengjie Zhang)
  • Phillip Wong. Simplification of Programs in Genetic Programming. Research Assistant, August 2006 -- Feb 2007. (with Mengjie Zhang)
  • Christopher Fogelberg. Linear Genetic Programming. Research Assistant, Oct 2005 -- June 2006. (with Mengjie Zhang)
  • Xiaoli Ma. Genetic Programming for Regression and Classification Tasks. Masters Thesis, 2007. (with Guifa Teng and Mengjie Zhang)
  • Xin Li. Weed Identification and Recognition in Wheat Field. Masters Thesis, 2007. (with Jinguo Zhang and Mengjie Zhang)
  • Daniel McGaughran. Genetic Programming: Evolving Simulated Human-Generated Programs with Loops and Control Structures in . BSc (Honours) Research Project, 2005. (with Mengjie Zhang)
  • Phillip Wong. Simplification of Genetic Programs during Evolution. BSc (Honours) Research Project, 2005. (with Mengjie Zhang)
  • Christopher Fogelberg. Linear Genetic Programming for Multi-class Classification Problems. BSc (Honours) Research Project, 2005. (with Mengjie Zhang)
  • Minh Duc Cao. Classication of Scientic Papers Using Machine Learning, BSc (Honours) Research Project, 2005. (with Mengjie Zhang and Xiaoying Gao)
  • Weijun (Norman) Lou. Improving Crossover in Genetic Programming for Image Recognition, BSc (Honours) Research Project, 2004-2005. (with Mengjie Zhang and Xiaoying Gao)
  • Will Smart. Genetic Programming for Object Recognition, Masters Thesis, 2005. (with Mengjie Zhang)
  • Jason Xie. Speech Analyser in an ICAI System for TESOL. Masters Thesis, 2004. (with Peter Andreae and Mengjie Zhang)
  • Yun Zhang. Genetic Programming for Multiclass Object Classification, BSc (Honours) Research Project, 2004. (with Mengjie Zhang)
  • Malcolm Lett. Improving Training Performance of Genetic Programming for Object Detection, BSc (Honours) Research Project, 2004. (with Mengjie Zhang)
  • Bunna NY. Neural Networks and Genetic Algorithms for Object Classification and Detection, BSc (Honours) Research Project, 2003. (with Mengjie Zhang)
  • William Smart. Genetic Programming for Multiclass Object classification. BSc (Honours) Research Project, 2003. (with Mengjie Zhang)
  • Urvesh Bhowan. Fitness function with program size in genetic programming for multiclass object classification. BSc (Honours) Research Project, 2003. (with Mengjie Zhang)
  • Mark Pritchard, Genetic Programming for Object Detection, BSc (Honours) Research Project, 2002. (with Mengjie Zhang and Peter Andreae)
  • Roy Chow. Multiple Class Object Detection Using Pixel Statistics in Neural Networks, BSc (Honours) Research Project, 2002. (with Mengjie Zhang and Peter Andreae)

Summer Research Students

  • Aneta. Particle Swarm Optimisation for Feature Selection in Classification. Summer Research Scholarship Project. 2012-2013. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Yan Dai. Particle Swarm Optimisation for Feature Construction in Classification. Summer Research Scholarship Project. 2013-2013. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Ben Powley. Genetic Programming for Evolving Recursive Structures. Summer Research Scholarship Project. 2012-2013. (with Prof Mengjie Zhang)
  • John Park. Genetic Programming for Job Shop Scheduling. Summer Research Scholarship Project. 2012-2013. (with Prof Mengjie Zhang and Su Nguyen)
  • Yang Yu. Genetic Programming for QoS-driven Wen Service Composition. Summer Research Scholarship Project. 2012-2013. (with A/Prof Hui Ma and Prof Mengjie Zhang)
  • Anqi Wang. Automatically Compose Semantic Web Service through Genetic Programming. Summer Research Scholarship Project. 2012-2013. (with A/Prof Hui Ma and Prof Mengjie Zhang)
  • James. Genetic Programming for Timetabling. Summer Research Scholarship Project. 2012-2013. (with Dr Mark Johnston and Prof Mengjie Zhang)
  • Jayden. Genetic Programming for Scheduling. Summer Research Scholarship Project. 2012-2013. (with Dr Mark Johnston and Prof Mengjie Zhang)
  • Aaron Scoble. Linear Genetic Programming. Summer Research Assistant, 2012-2013. (with Prof Mengjie Zhang and Dr Will Borwne)
  • Liam Cervante. Genetic Programming for Evolving Computer Programs for Classifiation. Summer Research Scholarship Project. 2011-2012. (with Prof Mengjie Zhang and Prof Bing Xue)
  • Harith Al-Sahaf. Genetic Programming for Feature Extraction and Selection. Summer research scholarship project, 2011-2012. (with Dr Kourosh Neshatian, Prof Mengjie Zhang and Dr Andy Song)
  • Rachel Hunt. Genetic Programming with Class Imbalance Problems. Summer Research Scholarship Project, 2011. (with Dr Kourosh Neshatian and Prof Mengjie Zhang)
  • Aaron Scoble. Linear Genetic Programming. Summer Research Scholarship Project, 2011-2012. (with Prof Mengjie Zhang and Dr Mark Johnston)
  • Daniel Atkins. Genetic Programming for Image Feature Construction. Summer Research Scholarship. Nov 2010 -- Feb 2011. (with Dr Kourosh Neshatian and Prof Mengjie Zhang)
  • Anna Friedlander. Genetic Programming for Feature Selection in Classification. Summer Research Scholarship. Nov 2010 -- Feb 2011. (with Prof Mengjie Zhang and Dr Kourosh Neshatian)
  • Rachel Hunt. Genetic Programming with Class Imbalance Problems. Summer Research Assistant. Nov 2010 -- Feb 2011. (with Mark Johnston and Prof Mengjie Zhang)
  • Joel Miller. Summer Research Assistant. Nov 2010 -- Feb 2011. (with Mark Johnston)
  • Aaron Scoble. Summer Research Assistant. Nov 2010 -- Feb 2011. (with Mark Johnston)
  • Henry Williams. Learning Classifier Systems. Summer Research Assistant. Nov 2010 -- Feb 2011. (with Dr Will Browne)
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