People and Organisations
Key Members--Victoria University of Wellington
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Project Leader, Professor, ECRG group leader, Victoria University of Wellington Email: Mengjie.Zhang@ecs.vuw.ac.nz |
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Associate Professor, Victoria University of Wellington Research Area: Evolutionary Feature Selection, Statistics, Categorical Data Analysis |
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Professor, Victoria University of Wellington Research Area: Particle Swarm Optimisation, Genetic Programming, Feature Selection and Dimensionality Reduction, Evolutionary Image Analysis, Transfer Learning |
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Senior Lecturer, Victoria University of Wellington Research Area: Evolutionary Scheduling and Routing, Differential Evolution, Evolutionary Feature Selection |
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Senior Lecturer, Victoria University of Wellington Research Area: Deep Learning, Health Informatics, Bioinformatics, In Silico Drug Discovery |
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Professor, Victoria University of Wellington Research Area: Reliability, Clustering, Geophysics and Directional Statistics |
Key Members--University of Otago
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Associate Professor, University of Otago Research Area: Computational Intelligence; Adaptive Business Intelligence; Multimodal and Multi-objective Problem Solving; Theoretical Population Genetics; Evolving Systems |
Key Members--University of Canterbury
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Professor, University of Canterbury Research Area: Artificial Intelligence, Computer vision, Machine intelligence |
Key Members--Plant & Food Research
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Science Group Leader, Seafood Production, Plant & Food Research |
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Science Group Leader, Data Sciences, Plant & Food Research Research Area: Data Sciences, Exploring, understanding and communicating information from data. |
Key Members--Cawthron Institute
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Group Manager for coastal sciences, Cawthron Institute Research Area: Estuarine and coastal processes, and the interaction between the physical environment and biological systems |
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Coastal and Ecosystems Team Leader, Cawthron Institute Research Area: Oceanographic data analysis, Coastal and shelf ocean modelling, Long period ocean waves, Generating energy from tidal currents |
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Senior Aquaculture Scientist, Cawthron Institute Research Area: Applied aquaculture R&D, genetics and biotechnology |
Key Members--Nelson AI Institute
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Founder & Director, Nelson AI Institute |
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Research Manager, Nelson AI Institute |
Project Coordinator
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Project Coordinator and Postdoctoral Research Fellow, Victoria University of Wellington Email: fangfang.zhang@ecs.vuw.ac.nz |
Research Office
- Dan Thompson, Manager, Research Contracts. Email: dan.thompson@vuw.ac.nz
- Neb Svrzikapa, Enterprise Development Adviser. Email: neb.svrzikapa@vuw.ac.nz
- Priyanka Otawkar, Research Contracts Advisor. Email: priyanka.otawkar@vuw.ac.nz
Past Staff Members
- Dr Nick King, Cawthron, member
- Dr Harris Lin, Plant and Food, member
- Dr Harith Al-Sahaf, VUW, member
- Ying Bi, VUW, Project Coordinator
- Emily Greenbank, VUW, Project Coordinator
Past Postdocs/Students Members
- Dr Ying Bi: Genetic programming, evolutionary deep learning, transfer learning, image classification and analysis. July 2020.
- Dr Cuie Yang: Evolutionary learning and optimisation. July 2021.
Postdoctoral Fellow
- Dr Julie Blommaert: Genomics, Finfish
- Dr Junhong Zhao: Deep learning, Image lighting understanding, Image synthesis, Image recognition/segmentation
- Dr Fangfang Zhang: Multitask Learning, Surrogate, Genetic Programming, Combinatorial Learning and Optimisation. March 2021.
- Dr Ruwang Jiao: Evolutionary algorithms, large scale optimisation, feature selection. March 2021.
PhD Students
- Carl McMillan: Object detection, Supervised learning, and Mussel Farms, PhD Thesis. 1 July 2023. Project Funded Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
- Jesse Wood: Machine Learning for Fish Oil Analysis, PhD Thesis. 1 March 2022 (with Prof Bing Xue and Dr Bach Nguyen)
- Kaan Demir: Evolutionary Computation for Feature Selection in Multi-label Classification. Apr 2021 (with Prof. Bing Xue and Hoai Bach Nguyen)
- Christian Raymond: Meta Learning, Mar 2021 (with Dr Qi Chen, Prof. Bing Xue and Prof. Mengjie Zhang)
- Ziyi Sun: Evolutionary Computation for Image Analysis. Oct 2021 (with Prof Bing Xue and Prof Mengjie Zhang)
- Dylon Zeng: Evolutionary Computation for Image Analysis. Oct 2021 (with Prof Mengjie Zhang, Ivy Liu, and Prof Bing Xue)
- Qinyu Wang: Evolutionary Computation for image analysis. Sep 2021 (with Prof Bing Xue and Prof Mengjie Zhang)
- Junhao Huang: Evolutionary Design of Deep Neural Networks. Nov 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
- Jiabin Lin: Evolutionary Transfer Learning for Feature Selection. Nov 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
- Gonglin Yuan: Evolutionary Deep Learning for Image Classification. July 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
- Mike Ruigrok: Machine Learning for Data Science, August 2020 - Jan 2021. (with Dr Maren Wellenreuther (Plant & Food Research), Prof Mengjie Zhang, A/Prof Bing Xue, Dr Linley Jesson (Plant & Food Research), Dr Yi Mei)
- Abigail McGhie: Machine Learning for Aquaculture data. 2020. (with Prof Bing Xue and Prof Mengjie Zhang)
- Peng Wang: Evolutionary Computation for Feature Selection. Nov 2019. (with Prof Bing Xue and Prof Mengjie Zhang)
- Qinglan Fan: Evolutionary Computation for Computer Vision. Nov 2019. (with Dr Ying Bi, Prof Mengjie Zhang and Prof Bing Xue)
Master Students
- 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)
- David Knox. Image Segmentation. 2021
- Fergus Currie. 2021
Honour Students
- Demelza Robinson: Genetic Programming and Machine Learning for Feature Selection and Symbolic Regression for Quantitative Assessment of Nutrient Content in Horticultural Products (with Prof Mengjie Zhang, Prof Bing Xue, Dr Qi Chen)
- Finlay Sargisson: Evolving Multi-view Text Representation for Text Classification (with Dr Xiaoying Gao, and Prof Bing Xue)
- Jesse Wood: Machine learning for New Zealand Fish Data Analysis (with Prof Bing Xue and Bach Nguyen)
- Binke Xu: Machine Learning for Tree Species Identification (with Prof Mengjie Zhang, Prof Bing Xue)
- Sai Panda: Evolving Compact Scheduling Rules through Genetic Programming with Numerical and Behavioural Operators (with Dr Yi Mei)
- Zhanghao Kong: Explainable Text Regression Methods for Analysing Sentiment in Text (with Dr Qi Chen, Dr Sharon Gao)
- Yunhan Yang: Symbolic regression and transfer learning for fish health prediction. 2020-2021 (with Prof Bing Xue and Dr Linley Jesson)
- Caleb Buchanan, "Detecting Dolphins: Classifying Acoustic Data Using Computer Vision Techniques", Victoria University of Wellington, 07 March -- 14 Oct 2020 (with Prof Bing Xue and Prof Mengjie Zhang)
- Christian Raymond, "Evolutionary Computation for Symbolic Regression with a Semi-Structured Representation", Victoria University of Wellington, 07 March -- 14 Oct 2020 (with Prof Bing Xue and Dr Qi Chen)
- Kaan Demir, "Evolutionary Multi-objective Optimisation for Feature Selection in Multi-label Classification", Victoria University of Wellington, 07 March -- 14 Oct 2020 (with Prof Bing Xue and Dr Bach Hoai Nguyen)
Summer Project Students
- Demelza Robinson: Genetic programming and machine learning for feature selection and classification for quantitative assessment of nutrient content in horticultural products. 2021 (with Prof Mengjie Zhang)
- Jackson Jourdain: Machine learning for tree species identification. 2021 (with Prof. Bing Xue)
- Fintan O'Sullivan: Artificial Intelligence based methods for recognising individual kākā. 2021 (with Dr Andrew Lense)
- Luis Slyfield: Explainable artificial intelligence using genetic programming. 2021 (with Dr Andrew Lense)
- Yan Lu: Feature selection for multi-label classification. 2021 (with Bach Nguyen)
- Taran John: An automated approach to evolving scoring module for cuckoo Sandbox by utilising genetic programming. 2021 (with Harith Al-Sahaf)
- Amer Hussian: Genetic programming for symbolic regression. 2021 (with Dr Qi Chen)
- Sean McGifford: Transfer learning for AI planning. 2021 (with Dr Yi Mei)
- Yuan Gao: Genetic programming for real-world image segmentation. 2021 (with Dr Ying Bi)
- Gaofeng Shi: Genetic programming for job shop scheduling. 2021 (with Dr Fangfang Zhang)
- Yunhan Yang: Symbolic regression and transfer learning for fish health prediction. 2020-2021 (with Prof Bing Xue and Dr Linley Jesson)
- Fergus Currie: Multi-Criteria Decision Making for Fish Breeding Program. 2020-2021 (with Dr Yi Mei and Dr Maren Wellenreuther)
- Alistair McLeay: Detection for the water line in Mussel farm. 2020-2021 (with Prof Mengjie Zhang, Prof Bing Xue, Dr Ross Vennell and Dr Dana Briscoe)
- Demelza Robinson: Spectral data analysis. 2020-2021 (with Dr Qi Chen, Prof Mengjie Zhang and Prof Bing Xue)
- Oliver Hopkinson: 2020-2021 (with Prof Bing Xue, A/Prof Ivy (I-Ming) Liu and Dr Jane Symonds)
- Finn Sargisson: Finfish image analysis. 2020-2021 (with Dr Harith Al-Sahaf and Dr Nick King)
- Samuel Meenken: Scoring skeletal health from X-ray images of salmon vertebrae. 2020-2021 (with Dr Binh Nguyen and Dr Jane Symonds)
- Dani Liu: Fish Heath Prediction. 2020-2021 (with A/Prof Ivy (I-Ming) Liu and Prof Richard Arnold)
- Zichu Yan: Genetic Programming for Low-Quality Fish Image Classification. 2020-2021 (with Dr Ying Bi, Prof Bing Xue and Prof Mengjie Zhang)
- Kaan Demir: Evolutionary Computation for Feature Selection. 2020-2021(with Dr Bach Nguyen, Prof Bing Xue and Prof Mengjie Zhang)
Research Assistants
- Junhao Huang: Evolutionary Design of Deep Convolutional Neural Networks, April 2023-present
- Wenbin Pei: Genetic Programming for High-Dimensional Imbalanced Classification. June 2021 - December 2021
- Jingjing Chen: Mussel farm data labelling. 2021