Student Supervision

PhD students

• Ya Shen, Reinforcement learning for workflow scheduling, 1 February 2024 (co-supervised with Aaron Chen)
• Beihong Yang, Evolutionary Computation for Influential note detection in social networks, 1 October 2023 (co-supervised with Aaron Chen)
• Yuguang Zhao (PhD, part time) Reinforcement learning for bus scheduling, 1 May 2023 (co-supervised with Aaron Chen)
• Zhengxin Fang, Composite Applications Resource Allocation in Container-based Clouds, 1 February, 2023 - (co-supervised with Aaron Chen)
• Fengyang Sun, Evolutionary Computation for IoT service composition, from Februrary, 1 March, 2022 (co-supervised with Aaron Chen)
• Amer Saeed: Evolutionary Computation for IoT Service deployment in edg computing , 1 October 2021 (co-supervised with Dr Aaron Chen, and Dr. Qiang Fu)
• Anjali de Silva: Evolutionary Computation for Social Network Analysis, 1 July 2021 (co-supervised with Dr Aaron Chen, and Dr Mohammad Nekooei)
• Yifan Yang, Dynamic Workflow Scheduling in Cloud Computing, from November, 2020 (co-supervised with Aaron Chen)
• Taiwo Adeyemi Akindele, Evolutionary Optimization for Energy-Aware Resource Allocation in Container-based Cloud, from 2020 (co-supervised with Yi Mei)
• Kirita-Rose Escott, EC-based Approaches to Dynamic Workflow Resource Allocation in Clouds, from 2019 (co-supervised with Aaron Chen)
• Tao Shi, Service Deployment in Multi-Cloud, 2018 - 2022 (co-supervised with Aaron Chen)
• Soheila Sadeghiram, Distributed Data-intensive Web service Composition, 2017 -2021 ( co-supervised with Aaron Chen)
• Chen Wang, Semantic Web Service Composition, 2016 -2020 (co-supervised with Aaron Chen)
• Boxiong Tan, An Evolutionary Computation Approach to Resource Allocation in Container-based Clouds, 2016 - 2020 (co-supervised with Yi Mei and Mengjie Zhang)
• Alexandre Sawczuk da Silva, Multifaceted Web Service Composition, 2015 - 2018 (co-supervised with Yi Mei and Mengjie Zhang)

Master and Honours

• Gavin K. L. Taske (Master thesis), Medical Imange Analysis for Lung Cancer Diagnization, 2023 (co-supervised with Aaron Chen)
• Mathew Falloon,(Master thesis, part time), Resource allocation in Container-based Clouds, 2023 (co-supervised with Aaron Chen)
• Tomas Cook (Master of AI project), IoT Service Placement for Environment Analysis, 2023 (co-supervised with Chen Wang and Aaron Chen)
• Logan Blokland (BE Honours project), IoT workflow scheduling in cloud and edge 2023 (co-supervised with Aaron Chen)
• Joel Chu (BE Honours project), Building a Machine Learning Model to Predict Time Series Cloud Workload, 2023 (co-supervised with Aaron Chen)
• Gavin K. L. Taske (Master of AI project), Energy-Aware Resource Allocation in Cloud Computing, 2022 (co-supervised with Aaron Chen)
• Joseph Hodge (BE Honours project), A GA approach to Community detection in Social Networks using static Graph Databases, 2022 (co-supervised with Aaron Chen)
• Caleb Madgwick (BE Honours project), COVID-19 Symptoms Clustering, 2022 (co-supervised with Aaron Chen, Maite Irurzun Lopez, Mona Jeffreys (Health Services Research Centre are))
• Connor Simpson (BE Honours project), Energy-Aware Resource Allocation in Cloud Computing, 2022 (co-supervised with Aaron Chen)
• Yuheng Chen (MComp project), Multi-objective application deployment in multi-cloud, 2021 (co-supervised with Aaron Chen, Tao Shi)
• Josh Trueman (BE Honours project), Multi-Objective Community Detection in Social Networks, 2021
• Armaan Chandra (BE Honours project), Genetic Programming Approach to Time Series Forecasting, 2020
• Yingliang Shao (MComp project), Resource Allocation Optimization in Multi-Cloud, 2020-2021
• Arnold Ariadi (BE Honours project), Managing and Mining Social Network Data, Primary supervisor, 2019
• Zhonghua Zheng (Ryan) (BE Honours project), Workflow Scheduling Optimisation Problem, Primary supervisor, 2018
• Benjamin Wong-Lee BE Honours project), Data-Intensive Web Service Composition, Primary supervisor, 2018
• Wentao Quang (Master Report), Web Application Deployment in Multi-Cloud Environment, (co-supervised with Dionysis Athanasopoulos), 2017
• Ewan Moshi (BE Honours project), NZ Well Database, Primary supervisor, 2017
• Zhaojiang Chang (BE Honours project 2017), Web Service Composition Using Graph Databases, Primary supervisor
• Boxiong Tan (Master project 2015/2016), Web Service Allocation, 2016 (co-supervised with Yi Mei and Mengjie Zhang)
• Yang Yu (Master thesis 2014/2015), Distributed Web Service Composition, 2016 (co-supervised with Mengjie Zhang)
• Panrawee Vechsamutvaree (Marsters report, 2012), A Case Study for Building Ontologies for Human Resource Recruitment Systems, 2012
• Yan Liu (Marsters report) Database Cardinality Constraints, 2011
• Jared Armstrong (BE Honours project), Web Service Composition, 2010

Research Assistants

• Yongbo Yu (RA, Oct - Dec 2021), Energy-aware Resource Allocation in Clouds using Genetic Programming (co-supervised with Aaron Chen)
• Yongbo Yu (RA, summer 2018/2019), Workflow Resource Allocation in Clouds using Genetic Programming (co-supervised with Aaron Chen)
• Tao Shi (RA, summer 2017/2018), Container-based Resource Allocation in Clouds (co-supervised with Aaron Chen)
• Yalian Feng (RA, summer 2017/2018), Workflow Resource Allocation in Clouds using Genetic Programming (co-supervised with Aaron Chen)
• Boxiong Tan (RA, summer 2014/2015), Web Service Location Allocation (co-supervised with Mengjie Zhang)
• Hai Huang (RA, summer project, Nov. 2013 - Feb. 2014) QoS-aware Web Service Distribution Design, (co-supervised with Mengjie Zhang)
• Yang Yu (RA, summer project, Nov. 2012 - Feb. 2013), Distributed Web Service Composition (co-supervised with Mengjie Zhang)
• Anqi Wang (RA, summer project, Nov. 2012 - Feb. 2013) Web Service Composition Using Genetic Programming (co-supervised with Mengjie Zhang)