School of Engineering and Computer Science Te Kura Mātai Pūkaha, Pūrorohiko

Meetings and Events

  • Mengjie Zhang, Keynotes in Workshop of “Genetic Programming for Evolutionary Computation and Artificial Intelligence，The Genetic and Evolutionary Computation Conference (GECCO), July 2023
  • Mengjie Zhang, Tutorial: Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition, The Genetic and Evolutionary Computation Conference (GECCO), July 2023
  • Bing Xue and Mengjie Zhang, Tutorial: Evolutionary Computation for Feature Selection and Feature Construction, The Genetic and Evolutionary Computation Conference (GECCO), July 2023
  • Fangfang Zhang, Tutorial: Genetic Programming and Machine Learning for Scheduling, IEEE Congress on Evolutionary Computation (CEC), July 2023
  • Mengjie Zhang, invited talk: Data Science for Aquaculture, Artificial Intelligence Researchers Association Annual Conference, Nov 2022
  • Bing Xue, invited talk: Evolutionary Machine Learning Approaches and Applications, Artificial Intelligence Researchers Association Annual Conference, Nov 2022
  • Yi Mei, invited talk: Machine Learning for Better Responsive Emergency Medical Dispatch, Artificial Intelligence Researchers Association Annual Conference, Nov 2022
  • Richard Green, invited talk: Autonomous 3D sub-mm surveying for accurate models and precision tool use, Artificial Intelligence Researchers Association Annual Conference, Nov 2022
  • Binh Nguyen, invited talk: Multitask learning on graph convolutional residual neural networks for screening of multi-target anticancer compounds, Artificial Intelligence Researchers Association Annual Conference, Nov 2022
  • Mengjie Zhang, Plenary Talk: Evolutionary Machine Learning: Research, Applications and Challenges (SSCI), Dec 2022
  • Fangfang Zhang, Tutorial: Genetic Programming and Machine Learning for Job Shop Scheduling, IEEE Symposium Series on Computational Intelligence (SSCI), Dec 2022
  • Fangfang Zhang, Tutorial: Evolutionary Machine Learning for Combinatorial Optimisation, IEEE Congress on Evolutionary Computation (CEC), July 2022
  • Blommaert, J., Scofield, D., Peona, V., Kuhl, H., Gahr, M., Frankl-Vilches, C., Steel, M., Fernandes, J., Rutz, C, Suh, A., Wellenreuther, M. Anything but the SNP- what third generation sequencing can teach us about genomic variation – Presentation, Queenstown Molecular Biology Meeting, September 1, 2022
  • Wellenreuther, M Invited talk at the Seafood conference Nelson: ‘How can fisheries management benefit from genomics? Key insights from New Zealand species’, Nelson, New Zealand, 2022
  • Wellenreuther, M Invited talk at the Smart and Connected (S+C) Aquaculture Meeting: Breeding new finfish species for aquaculture, August 10th 2022, New Zealand
  • Bing Xue, Tutorial: Evolutionary Computation for Feature Selection and Feature Construction. The Genetic and Evolutionary Computation Conference (GECCO), July 2022
  • Bing Xue, Tutorial: Evolutionary Computation for Feature Reduction. IEEE Congress on Evolutionary Computation (CEC) in World Congress on Computational Intelligence (WCCI) , 18 July - 23 July 2022
  • Bing Xue, Plenary Talk: Evolutionary Computation for Automated Design of Deep Neural Networks IEEE World Congress on Computational Intelligence (WCCI), July 2022
  • Binh Nguyen, Keynote Speaker [Online]: Graph Convolutional Residual Neural Networks for Screening of Multi-target Anticancer Compounds, The 3rd International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2023), 16-18 Jun 2023, Nanjing, China.
  • Binh Nguyen, Keynote Speaker [Online]: Graph Machine Learning in Drug Discovery and Development, International Conference on Mechanics and Applied Mathematics (MAM 2022), 18-20 Nov 2022, Guangzhou, China.
  • Our team has published the second newsletter of introducing this programme in June 2022.
  • Mengjie Zhang: Keynote: IEEE International Conference on Software Engineering and Artificial Intelligence, June 2022.
  • Mengie Zhang gave a presentation with a title of “AI, Machine Learning and Data Science at VUW” at AgReesarch in March 2022.
  • Bing Xue: Invited Talk: Data Science and AI at VUW. Women in Data Science New Zeland , 10th and 17th March 2022
  • Bing Xue: Invited Talk: Evolutionary Deep Learning for Image Classification. The 34th Australasian Joint Conference on Artificial Intelligence (AJCAI 2021), 2-4 February 2022
  • Bing Xue: Keynote: Evolutionary Deep Learning for Image Classification. International Conference on Computational Intelligence and Data Analytics (ICCIDA), 8-9 January 2022
  • Liu, I., Arnold, R., Fernandez, D., and Pledger, S. (2022). Cluster Analysis for Ordered Categorical Data. IASC-ARS conference, Kyoto, Japan, 21-24 Feb 2022.
  • Li, S., Fan, Z., Liu, D. Liu, I., Morrison, P. (2022). Partial Association Between Mixed Data: Assessing the Impact of COVID-19 on College Student Well-Being. 2022 Symposium on Data Science & Statistics. Pittsburgh, Pennsylvania, 7-10 June 2022.
  • Ross Vennell gave a talk on using imagery to automate the monitoring mussel floats using Artificial Intelligence at a Marlborough Sounds Smart+Connected Aquaculture event on 13 April 2022 via zoom.
  • Chris Cornelisen gave a presentation on using data-driven technologies for aquaculture at the New Zealand Marine Sciences Society conference, 5-8 July 2022 in Tauranga.
  • Dana Briscoe gave an invited presentation and programme overview at the 2022 Women in Data Science New Zealand Conference, hosted by VUW on 10 March 2022 via Zoom.
  • Maren gave a talk on Fisheries Genetics at the Speaker's Science Forum organised for Members of Parliament, in collaboration with the Speaker of the New Zealand Parliament and in conjunction with Universities New Zealand, Science New Zealand, and the Independent Research Association of New Zealand (IRANZ), May 11th 2022, Parliament, Wellington, New Zealand
  • Liu, I., Arnold, R., Fernandez, D., and Pledger, S. Cluster Analysis for Ordered Categorical Data. IASC-ARS conference, Kyoto, Japan, 21-24 Feb, 2022.
  • A/Prof. Maren Wellenreuther, “Plenary 8 - Genomic applications in aquaculture for future food security”, a Plenary Lecture at the 38th International Society for Animal Genetics (ISAG) Conference, Cape Town, South Africa title: Harnessing the power of genomics and AI to breed new species for aquaculture, 27th July, 2021
  • J. Blommaert and M. Wellenreuther, “ Transposable element dynamics in Sparidae genomes”, Presentation at MapNet, March 15, 2022
  • Fangfang Zhang, Yi Mei, Su Nguyen, Mengjie Zhang. Tutorial of “Genetic Programming for Job Shop Scheduling”, in the EEE Symposium Series on Computational Intelligence, 5-7th, 2021.
  • Dani Liu, Binh Nguyen, Jane Symonds, Paula Casanovas, and Ivy Liu. “Predict Gastric Dilation and Air Sacculitis in Chinook Salmon Using Machine Learning”. Australian and New Zealand Virtual Statistical Conference (ANZSC), 05-09 July 2021.
  • Samuel Meenken, Ivy Liu, Paula Casanovas, Jane Symonds. “Investigating Salmon Data Using Partial Associations Based on Surrogate Residuals”. New Zealand Virtual Statistical Conference (ANZSC), 05-09 July 2021.
  • Cornelisen, C., Vennell, R., Briscoe D., Barter P., Graham S., Scheel M., Green, R., Zhang, M. “Enhancing the blue economy through data-driven technologies for aquaculture”. New Zealand Marine Sciences Conference 2021, Tauranga, NZ
  • Maren Wellenreuther and Chris Cornelisen gave talks at the Speaker's Science Forum organised for Members of Parliament, in collaboration with the Speaker of the New Zealand Parliament and in conjunction with Universities New Zealand, Science New Zealand, and the Independent Research Association of New Zealand (IRANZ), Parliament, Wellington, New Zealand.
  • Our team has published the first newsletter of introducing this programme in June 2022.
  • Maren Wellenreuther was invited to give a talk about "Breeding new finfish species for aquaculture". Smart and Connected, 10.8.2022.
  • Bing Xue: Plenary Talk: Evolutionary Computation for Automated Design of Deep Neural Networks IEEE World Congress on Computational Intelligence (WCCI 2022), July 2022
  • Bing Xue: Tutorial: Evolutionary Computation for Feature Reduction. IEEE Congress on Evolutionary Computation (CEC 2022) in World Congress on Computational Intelligence (WCCI 2022) , 18 July - 23 July 2022
  • Bing Xue: Tutorial: Evolutionary Computation for Feature Selection and Feature Construction. 2022 The Genetic and Evolutionary Computation Conference (GECCO), July 2022
  • Dana Briscoe gave an invited presentation and programme overview at the 100 Years of Cawthron Science Speaker Series at the Nelson Museum on 24 July 2022.
  • Fangfang Zhang was invited by Todd Cochrane from NMIT to participate an interview of "Hybrid educational Design based research Agile Software development (hDAS) in the design and delivery of an ML/AI workshop, You are the controller: ML/AI Posenet game controller for Flappy bird", 3.8.2022
  • From 10 July 2021 to 14 July 2021, a group of staff members and students attend the Genetic and Evolutionary Computation Conference (GECCO) online
  • From 28 June 2021 to 1 July 2021, a group of staff members and students attend the IEEE Congress on Evolutionary Computation (CEC) online
  • 28 May 2021, a group of staff members and students at VUW went to Pipitea Marae.
  • 7 May 2021, a group of staff members at VUW attend the Joint VUW-MetService Seminar Programme. Most of them present our research on artificial intelligence, machine learning, and evolutionary learning.
  • 16 April 2021, Mengjie Zhang and Ying Bi visit the Dragonfly Data Science office
  • 9 April 2021, over ten staff members, including postdocs, attend the New Zealand Workshop on Artificial Intelligence Research. Our research has been presented orally in the workshop by key members.
  • 30/11/2020-01/12/2020: we visit Plant & Food lab, Cawthron lab, and Mussel farms at Havelock in Nelson. some photos
  • We host the conference: "The 35th Conference on Image and Vision Computing New Zealand (IVCNZ 2020)" *
  • 31/05/2022 Exec meeting online via ZOOM.
  • 22/04/2022 Theme and subgroup leadership meeting online via ZOOM.
  • 03/03/2022 -- 15/03/2022 Meeting with different team members to discuss the applications via ZOOM.
  • 07/12/2021 Theme and subgroup leadership meeting online via ZOOM.
  • 04/11/2021 Exec meeting online via ZOOM.
  • 05/10/2021 Exec, theme, and subgroup leadership meeting online via ZOOM.
  • 13/08/2021 Theme and subgroup leadership meeting online via ZOOM.
  • 16/07/2021 Exec meeting via ZOOM.
  • 08/06/2021 Theme and subgroup leadership meeting online via ZOOM.
  • 20/05/2021 Exec meeting via ZOOM.
  • 13/04/2021 Theme and subgroup leadership meeting online via ZOOM.
  • 07/04/2021 Exec meeting via ZOOM (Neb is also attended).

  • 25/02/2021 Exec meeting via ZOOM.

  • 9/02/2021 Theme and subgroup leadership meeting online via ZOOM.

  • 30/11/2020 Exec meeting at Cawthron.
  • 13/11/2020 Theme and subgroup leadership meeting online via ZOOM.
  • 21/09/2020 Theme and subgroup leadership meeting online via ZOOM.
  • 06/07/2020 Meeting with over 20 members.
  • 20/05/2020 Meeting with all 21 members.
  • 19/03/2020 Pre-meeting 3.
  • 13/03/2020 Pre-meeting 2.
  • 09/03/2020 First Pre-Workshop Meeting.
  • 12/02/2020 Aquaculture Meeting.
  • 07/02/2020 Meeting to finalise KPIs.
  • 27/05/2022 Kevin Shedlock: Te Pataka Purorohiko: An overview of the ECS Māori Digital Lab
  • 21/04/2022 Jeff Dean (from Lead at Google AI), "AI isn't as smart as you think -- but it could be", an online talk
  • 21/04/2022 Prof Emma Hart, "Self-assembling robots and the potential of artificial evolution", an online talk
  • 14/04/2022, Christian Raymond, "Multi-objective GP with AWS for Symbolic Regression"
  • 07/04/2022 Prof. Melanie Mitchell, "Artificial Intelligence: A Guide for Thinking Humans", an online talk
  • 17/03/2022 Prof. Yaochu Jin, "Multi-objective Evolutionary Federated Learning", an online talk
  • 24/02/2022 Prof. Risto Miikkulainen, "Evolutionary computation: The next deep learning", an online talk
  • 25/11/2021 Prof Mengjie Zhang, "Evolutionary Transfer Learning for Image Analysis and Pattern Recognition", an invited talk in a workshop related to evolutionary computation algorithms
  • 22/10/2021 Kirita-Rose Escott (Ngāti Kahungunu me Ngāti Hamoa), "Māori Data sovereignty-II", the second talk at VUW, following a discussion
  • 14/10/2021 David Knox, "Point Annotations for Image Segmentation", a FASLIP talk at VUW
  • 01/10/2021 Kirita-Rose Escott (Ngāti Kahungunu me Ngāti Hamoa), "Māori Data sovereignty-I", a talk at VUW, following a discussion
  • 20/09/2021 Prof Mengjie Zhang, "Evolutionary Machine Learning: Research, Applications and Challenges", a talk at the University of Auckland
  • 10/09/2021 Dr. Cuie Yang, "Transfer Learning and Domain Adaptation", a talk at VUW
  • 23/07/2021 Prof Carlos Artemio Coello Coello, "Lessons Learned after 25 Years Designing Multi-Objective Evolutionary Algorithms", an online talk
  • 16/07/2021 Prof Zbigniew Michalewicz, "AI-based business applications and the EC research", an online talk
  • 09/07/2021 Prof Xin Yao, "When Everything Else Fails, Try Co-evolution", an online talk
  • 11/07/2021 Prof Bing Xue and Prof Mengjie Zhang, "Evolutionary Computation for Feature Selection and Feature Construction", a tutorial at 2021 The Genetic and Evolutionary Computation Conference (GECCO)
  • 10/07/2021 Prof Mengjie Zhang, "Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition", a tutorial at 2021 The Genetic and Evolutionary Computation Conference (GECCO)
  • 28/06/2021 Prof Mengjie Zhang and Prof Bing Xue, "Evolutionary Computation for Feature Reduction", a tutorial at 2021 IEEE Congress on Evolutionary Computation (CEC)
  • 23/05/2021 Ying Bi, "Genetic Programming for Image Classification", a talk invited by NICE Seminar online
  • 23/04/2021 Ying Bi, "Automatically learning features using genetic programming for low-quality fish image classification", Victoria University of Wellington
  • 14/03/2021 Prof Mengjie Zhang, "Evolutionary Machine Learning", IEEE CIS Distinguished Lecturers talk for IEEE CIS Kolkata Chapter, West Bengal, India
  • 12/02/2021 Kevin Shedlock, "Te Ruapekapeka Pa: A kaupapa māori case study research during the construction of the IT artifact", Victoria University of Wellington
  • 15/01/2021 Prof Mengjie Zhang, "How to write a paper", Victoria University of Wellington
  • 27/11/2020 Dr. Bach Nguyen, "Transfer learning", Victoria University of Wellington
  • 19/12/2020 Prof Bing Xue, "Evolutionary Computation for Automated Design of Deep Neural Networks", a tutorial at "2020 International Workshop on Knowledge Transfer in Evolutionary Optimization"
  • 19/12/2020 Prof Mengjie Zhang, "Evolutionary Transfer Learning for Image Analysis and Pattern Recognition", a keynote at "2020 International Workshop on Knowledge Transfer in Evolutionary Optimization"
  • --/12/2020 Prof Bing Xue, "Evolutionary Computation for Feature Selection and Automated Design of Deep Neural Networks", a talk at Zhenzhou University, China
  • 25/11/2020 Prof Mengjie Zhang, "Evolutionary Deep Learning and Applications to Image Classification", a keynote at "The 35th Conference on Image and Vision Computing New Zealand"
  • 20/11/2020 Qinglan Fan, Ph.D. Proposal rehearsal: Genetic programming for image classification
  • 06/11/2020 Alex Gavryushin, from University of Otago: "Machine Learning for Oncology", a talk at Victoria University of Wellington
  • 06/11/2020 Prof. Michael Witbrock, from The University of Auckland, Broad AI Lab: "Our Future with AI", a talk at Victoria University of Wellington
  • 31/10/2020 Prof Mengjie Zhang, "Evolutionary Computation for Feature Selection and Dimensionality Reduction", a keynote at "2020 International Conference on Computing and Pattern Recognition (ICCPR 2020)"
  • 09/07/2020 Prof Mengjie Zhang, "Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition", a tutorial at 2020 The Genetic and Evolutionary Computation Conference (GECCO)
  • 09/07/2020 Prof Bing Xue, "Evolutionary Computation for Feature Selection and Feature Construction", a tutorial at 2020 The Genetic and Evolutionary Computation Conference (GECCO)
  • 18/06/2020 A/Prof. Maren Wellenreuther, "Phenotyping of aquatic fish species: challenges, progress, and future directions", Invitation to present at the Board on Agriculture and Natural Resources (BANR), National Academies of Science, Engineering, and Medicine. Theme Artificial Intelligence: The Potential for Food, Agriculture, and Natural Resources More information here
  • 04/02/2020 Prof Mengjie Zhang, "Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition", an invited talk at La Trobe University
  • 03/02/2020 Prof Mengjie Zhang, "Evolutionary/Automated Deep Learning and Applications", IEEE CIS Distinguished Lecturers talk, RMIT University, link

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