People and Organisations

Key Members--Victoria University of Wellington

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Prof Mengjie Zhang

Project Leader, Professor, ECRG group leader, Victoria University of Wellington
Research Area: Genetic Programming, Evolutionary Deep Learning and Computer Vision, Multi-Objective Optimisation, Data Mining and Machine Learning, Transfer Learning, Bioinformatics

Email: Mengjie.Zhang@ecs.vuw.ac.nz

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A/Prof Ivy (I-Ming) Liu

Associate Professor, Victoria University of Wellington
Research Area: Evolutionary Feature Selection, Statistics, Categorical Data Analysis
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Prof Bing Xue

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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Dr Yi Mei

Senior Lecturer, Victoria University of Wellington
Research Area: Evolutionary Scheduling and Routing, Differential Evolution, Evolutionary Feature Selection
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Dr Harith Al-Sahaf

Lecturer, Victoria University of Wellington
Research Area: Genetic Programming, Image Analysis
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Dr Binh Nguyen

Senior Lecturer, Victoria University of Wellington
Research Area: Deep Learning, Health Informatics, Bioinformatics, In Silico Drug Discovery
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Prof Richard Arnold

Professor, Victoria University of Wellington
Research Area: Reliability, Clustering, Geophysics and Directional Statistics

Key Members--University of Otago

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A/Prof Grant Dick

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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Prof Richard Green

Professor, University of Canterbury
Research Area: Artificial Intelligence, Computer vision, Machine intelligence

Key Members--Plant & Food Research

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Dr Maren Wellenreuther

Science Group Leader, Seafood Production, Plant & Food Research
Research Area: Sexual Selection, Adaptation, Aquaculture, Selective Breeding, Population Demography

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Dr Linley Jesson

Science Group Leader, Data Sciences, Plant & Food Research
Research Area: Data Sciences, Exploring, understanding and communicating information from data.
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Dr Harris Lin

Data Scientist, Plant & Food Research
Research Area: Transfer Learning for object detection, modelling

Key Members--Cawthron Institute

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Dr Chris Cornelisen

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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Dr Ross Vennell

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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Dr Dana Briscoe

Senior Ocean Data Scientist, Cawthron Institute
Research Area: Data Exploration, Visualization, Machine Learning, Predictive Modeling, Spatial Analyses
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Dr Nick King

Senior Scientist, Cawthron Institute
Research Area: Shellfish Aquaculture
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Dr Jane Symonds

Senior Aquaculture Scientist, Cawthron Institute
Research Area: Applied aquaculture R&D, genetics and biotechnology

Key Members--Nelson AI Institute

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Dr Julian Maclaren

Founder & Director, Nelson AI Institute
Research Area: Computer Vision, Motion Tracking and MRI.

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Nikki Hawes


SCIENTIST

Project Coordinator

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Dr Fangfang Zhang

Project Coordinator and Postdoctoral Research Fellow, Victoria University of Wellington
Research Area: Evolutionary Computation, King Salmon Health Detection, Genetic Programming, Transfer Learning.

Email: fangfang.zhang@ecs.vuw.ac.nz


Research Office

Past Staff Members

  • Ying Bi, Project Coordinator
  • Emily Greenbank, Project Coordinator

Postdoctoral Fellow

  1. Dr Fangfang Zhang: Multitask Learning, Surrogate, Genetic Programming, Combinatorial Learning and Optimisation. March 2021.
  2. Dr Ying Bi: Genetic programming, evolutionary deep learning, transfer learning, image classification and analysis. July 2020.
  3. Dr Ruwang Jiao: Evolutionary algorithms, large scale optimisation, feature selection. March 2021.
  4. Dr Cuie Yang: Evolutionary learning and optimisation. July 2021.

PhD Students

  1. Jesse Wood: Machine Learning for Fish Oil Analysis, PhD Thesis. 1 March 2022 (with Prof Bing Xue and Dr Bach Nguyen)
  2. Kaan Demir: Evolutionary Computation for Feature Selection in Multi-label Classification. Apr 2021 (with Prof. Bing Xue and Hoai Bach Nguyen)
  3. Christian Raymond: Meta Learning, Mar 2021 (with Dr Qi Chen, Prof. Bing Xue and Prof. Mengjie Zhang)
  4. Ziyi Sun: Evolutionary Computation for Image Analysis. Oct 2021 (with Prof Bing Xue and Prof Mengjie Zhang)
  5. Dylon Zeng: Evolutionary Computation for Image Analysis. Oct 2021 (with Prof Mengjie Zhang, Ivy Liu, and Prof Bing Xue)
  6. Qinyu Wang: Evolutionary Computation for image analysis. Sep 2021 (with Prof Bing Xue and Prof Mengjie Zhang)
  7. Junhao Huang: Evolutionary Design of Deep Neural Networks. Nov 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
  8. Jiabin Lin: Evolutionary Transfer Learning for Feature Selection. Nov 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
  9. Gonglin Yuan: Evolutionary Deep Learning for Image Classification. July 2020, (with Prof Bing Xue and Prof Mengjie Zhang)
  10. 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)
  11. Abigail McGhie: Machine Learning for Aquaculture data. 2020. (with Prof Bing Xue and Prof Mengjie Zhang)
  12. Peng Wang: Evolutionary Computation for Feature Selection. Nov 2019. (with Prof Bing Xue and Prof Mengjie Zhang)
  13. Qinglan Fan: Evolutionary Computation for Computer Vision. Nov 2019. (with Dr Ying Bi, Prof Mengjie Zhang and Prof Bing Xue)

Master Students

  1. David Knox. Image Segmentation. 2021
  2. Fergus Currie. 2021

Honour Students

  1. 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)
  2. Finlay Sargisson: Evolving Multi-view Text Representation for Text Classification (with Dr Xiaoying Gao, and Prof Bing Xue)
  3. Jesse Wood: Machine learning for New Zealand Fish Data Analysis (with Prof Bing Xue and Bach Nguyen)
  4. Binke Xu: Machine Learning for Tree Species Identification (with Prof Mengjie Zhang, Prof Bing Xue)
  5. Sai Panda: Evolving Compact Scheduling Rules through Genetic Programming with Numerical and Behavioural Operators (with Dr Yi Mei)
  6. Zhanghao Kong: Explainable Text Regression Methods for Analysing Sentiment in Text (with Dr Qi Chen, Dr Sharon Gao)
  7. Yunhan Yang: Symbolic regression and transfer learning for fish health prediction. 2020-2021 (with Prof Bing Xue and Dr Linley Jesson)
  8. 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)
  9. 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)
  10. 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

  1. 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)
  2. Jackson Jourdain: Machine learning for tree species identification. 2021 (with Prof. Bing Xue)
  3. Fintan O'Sullivan: Artificial Intelligence based methods for recognising individual kākā. 2021 (with Dr Andrew Lense)
  4. Luis Slyfield: Explainable artificial intelligence using genetic programming. 2021 (with Dr Andrew Lense)
  5. Yan Lu: Feature selection for multi-label classification. 2021 (with Bach Nguyen)
  6. Taran John: An automated approach to evolving scoring module for cuckoo Sandbox by utilising genetic programming. 2021 (with Harith Al-Sahaf)
  7. Amer Hussian: Genetic programming for symbolic regression. 2021 (with Dr Qi Chen)
  8. Sean McGifford: Transfer learning for AI planning. 2021 (with Dr Yi Mei)
  9. Yuan Gao: Genetic programming for real-world image segmentation. 2021 (with Dr Ying Bi)
  10. Gaofeng Shi: Genetic programming for job shop scheduling. 2021 (with Dr Fangfang Zhang)
  11. Yunhan Yang: Symbolic regression and transfer learning for fish health prediction. 2020-2021 (with Prof Bing Xue and Dr Linley Jesson)
  12. Fergus Currie: Multi-Criteria Decision Making for Fish Breeding Program. 2020-2021 (with Dr Yi Mei and Dr Maren Wellenreuther)
  13. 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)
  14. Demelza Robinson: Spectral data analysis. 2020-2021 (with Dr Qi Chen, Prof Mengjie Zhang and Prof Bing Xue)
  15. Oliver Hopkinson: 2020-2021 (with Prof Bing Xue, A/Prof Ivy (I-Ming) Liu and Dr Jane Symonds)
  16. Finn Sargisson: Finfish image analysis. 2020-2021 (with Dr Harith Al-Sahaf and Dr Nick King)
  17. Samuel Meenken: Scoring skeletal health from X-ray images of salmon vertebrae. 2020-2021 (with Dr Binh Nguyen and Dr Jane Symonds)
  18. Dani Liu: Fish Heath Prediction. 2020-2021 (with A/Prof Ivy (I-Ming) Liu and Prof Richard Arnold)
  19. Zichu Yan: Genetic Programming for Low-Quality Fish Image Classification. 2020-2021 (with Dr Ying Bi, Prof Bing Xue and Prof Mengjie Zhang)
  20. Kaan Demir: Evolutionary Computation for Feature Selection. 2020-2021(with Dr Bach Nguyen, Prof Bing Xue and Prof Mengjie Zhang)

Research Assistants

  1. Wenbin Pei: Genetic Programming for High-Dimensional Imbalanced Classification. June 2021 - December 2021
  2. Jingjing Chen: Mussel farm data labelling. 2021
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