Current Teaching:

• SOFTENG 206 - Software Engineering Design 1
• SOFTENG 281 - Object-Oriented Programming
• MECHENG 270 - Software Design

Past Teaching:

• COMPSYS 202 - Object-Oriented Programming
• SOFTENG 701 - Advanced Software Engineering Development Methods
• SOFTENG 751 - High Performance Computing
• SOFTENG 761 - Advanced Agile and Lean Software Development

PhD Supervision (current)

• Ravindu Perera, Exploring Innovative Applications of LLMs in Education (Co-supervisor: Paul Denny)
• Shu Han, Can AI Ako? Exploring AI to support place-based learning in Aotearoa New Zealand (Co-supervisor: Piata Allen)
• Peiyao Mu, Fingertips Through the Abyss: AI, Trust, Creativity and Education (Main supervisor: Nicholas Rowe)
• Andrew Lao, Integrating computer-supported self-directed learning into STEM education: a computational thinking approach (Main supervisor: Sean Sturm, Co-supervisor: Kerry Lee)

BE(Hons) Final-Year Research Project Supervision (current)

• Gian Mohinani and Newton Yuan (2026), Advancing AI-Driven Conversational Assessment in Tertiary Education
  
  

PostDoc (finished)

• Dr Giuseppe De Ruvo (2016-18), Software engineering education [Published Work]
  
  

PhD Supervision (finished)

• Dr Chen Wang (2026), An intelligent tutoring system for improving self-regulated learning skills (Main supervisor: Gerard Rowe, Co-supervisor: Cathy Gunn)
• Dr Lynley Stringer (2024), Professional learning and development for the Digital Technologies curriculum (Main supervisor: Kerry Lee, Co-supervisor: Sean Sturm) [Published Work]
• Dr Elliot Varoy (2024), Investigating global pre-tertiary computing curricula and teachers’ perspectives of computing students (Co-supervisors: Andrew Luxton-Reilly and Kerry Lee) [Published Work]
• Dr Yuanyuan Hu (2024), Applying Machine Learning Methods to Analyse Cognitive Presence in MOOC Discussions (Main supervisor: Claire Donald) [Published Work]
• Dr Hadisantono Hadisantono (2021), Challenges and opportunities in assessment of Engineering education (Main supervisor: Gerard Rowe) [Published Work]
• Dr Mostafa Mehrabi (2019), Cloud comptuing with Parallel Task (Main supervisor: Oliver Sinnen) [Published Work]
• Dr Fan Xing (2017), Object-oriented shared memory parallel programming (Co-supervisor: Oliver Sinnen) [Published Work]

Masters Supervision (finished)

• Aaron Song, Investigating software team collaboration through code modifications (Co-supervisor: Juho Leinonen)
• Zhengdao Li (2026), Investigating student programming submissions using large language models (Co-supervisors: Valerio Terragni and Juho Leinonen)
• Nikhil Anil Sneha (2025), Sign language in VR (Co-supervisor: Reza Shahimiri) [Published Work]
• Shuying Qiao (2024), Applying AI to enhance student learning [Published Work]
• Mekyal Akhlaghi Amiri (2022), Application of natural language processing for automated assessment of reflective writing
• Sameer Phadnis (2022), Modelling electrical networks (Main-supervisor: Nirmal Nair)
• Yannick Ring (2021), Exploration of block-based learning tools for advanced object-oriented programming concepts
• Victor Lian (2019), Learning object-oriented programming through visualisation (Co-supervisor: Elliot Varoy) [Published Work]
• Vaibhav Mor (2019), Learning fundamental programming concepts through animations (Co-supervisors: Andrew Luxton-Reilly and Paul Denny)
• Elliot Varoy (2016), Improving conceptual Physics understanding using collaborative environments (Co-supervisor: Gerard Rowe) [Published Work]
• Shenghao Lu [Gary] (2016), Modeling of Mathematical equation solving (Co-supervisor: Barbara Kensington-Miller)
• Beibei Zhai (2014), Educational support for software engineering learning
• Weng Hao Tong (2014), Work-first in nested parallelism for Parallel Task (Main supervisor: Oliver Sinnen)
• Hans Bhardwaj (2015), Measuring usability improvements through concurrency and parallelism (Main supervisor: Oliver Sinnen)
• Xiaoxing Hu (2013), Benchmarking and cache-awareness in Java (Main supervisor: Oliver Sinnen)
• Chen Wang [Kingsley] (2013), Performance implications of thread count in a multi-application environment (Co-supervisor: Oliver Sinnen)
• Vikas (2012), GUI-aware parallel programming for Java using OpenMP-like directives (Co-supervisor: Oliver Sinnen) [Published Work]
• Jonathan Chow (2012), Design patterns for parallel programming using Parallel Task (Main supervisor: Oliver Sinnen) [Published Work]
• Gurpreet Singh (2013), Coupling and software evolution (Main supervisor: Ewan Tempero)

Masters-taught Project Supervision (finished)

• Huizhou Zhan (2021), Web-based practice tool for design drawings (Co-supervisor: Hazim Namik)
• Lucas Hsieh (2021), A machine learning approach for reflective writing
• Michelle Tan (2021), Improving learner engagement to a digital learning tool
• Rui Yang (2021), Engaging community members with the past
• Yifei Chen (2020), Classroom version control visualiser
• Wulei Gui (2020), Natural language analysis of educational content
• Baiwei Chen (2019), A feasibility study of block-based for mathematics
• Song Huang (2019), Extension of visual kinesthetic pseudocode for trees
• Yuang Zhu (2017), Analysing user reviews of interactive educational apps [Published Work]
• Marin Abernethy (2017), Educational virtual and augmented reality (Co-supervisor: Giuseppe Dr Ruvo) [Published Work]
• Gowri Rudrabhatla (2015), Automatic submission and plagiarism detection in programming labs
• Xiaohe Zhang (2015), Data analysis of Active Classroom Programmer effectiveness on student participation
• Ximin Yan (2015), Mobile app to assist children using Mathematics manipulatives (Co-supervisor: Gail Ledger)
• Rui Li (2015), Parallel programming with Active Classroom Programmer
• Chidambaram Palaniappan (2015), Visualisation of Active Classroom Programmer activity to measure student engagement
• Yalu You (2014), Eclipse refactoring for Pyjama (Co-supervisor: Oliver Sinnen)
• Rui Feng (2014), Benchmark Suite for Java OpenMP-like parallelizing compilers (Co-supervisor: Oliver Sinnen)
• Jiabin Zhong (2014), Evaluation of public transport app (Co-supervisor: Subeh Chowdhury)
• Aravind Sankar (2014), Android app for learning of data structures
• Shubhendu Sharma (2014), iOS app for learning of data structures
• Chang Liu (2014), Adding collaborative support to Active Classroom Programmer
• Nancy Watta (2014), Android app for public transport users (Co-supervisor: Subeh Chowdhury)
• Yuan Zhao (2014), Server-side support for public transport app (Co-supervisor: Subeh Chowdhury)
• Wu Ke (2014), Enchancing Pyjama Eclipse plugin with error propagation (Co-supervisor: Oliver Sinnen)
• Haoming Ma (2014), Parallel Task environment using annotation and lambda expressions (Main supervisor: Oliver Sinnen)
• Sriram Sugumaran (2014), Enchancing Pyjama Eclipse plugin with refectoring (Co-supervisor: Oliver Sinnen)

BE(Hons) Final-Year Research Project Supervision (finished)

• Liam Parker and Victor Qiu (2025), Communicating Computing Concepts [Published Work]
• Marcellin Chan Mow and Tom Devonshire (2025), Enhancing 3D Spatial Visualisation Skills with AI-Driven Question Analysis
• Jessica Jiang and Amanda Lowe (2025), Developing an Interactive Application for Fostering Intercultural Competence
• Benjamin Goh and Cameron Nathan (2023), Who wrote this code? Human or AI?
• Juwon Jung and Hayoon Seo (2023), AIs helping humans think reflectively [Industry Prize Winners]
• Qingyang Li and Harry Qu (2023), Understanding how software teams collaborate
• John Chen and Serena Lau (2023), Detecting learning behaviour in computing education via the analysis of versioned repositories [Published Work]
• Alex Kim (2023), Applying machine learning to education
• Matt Moran and Beverley Sun (2022), Using machine learning to improve predictions for public transport bus arrival times in real time
• Danielle Print and Raina Song (2022), Investigating the effectiveness of smart education [Industry Prize Winners]
• Jianle Li and Owen Wang (2022), Intelligent 3D shape generation and assessment tool
• Andreas Knapp and Cheng-Zhen Yang (2022), Git workflow assessment tool
• Joel Hutchinson and Jason Ko (2022), Web-based interative visualiser for object-oriented concepts [Industry Prize Winners]
• Sannan Hafeez and Alan Thomas (2021), Interactivity with hand tracking VR
• Jiawei Ge and Tommy Shi (2021), Web-based VR for education [Industry Prize Winners]
• Gurpreet Singh and Justin Teo (2021), Deepfakes for education
• Jennifer Lowe and Tianren Shen (2021), Investigating code quality trends [Industry Prize Winners]
• Gargi Bansal and Salma Sanad (2020), Aiding visualisation of 3D drawings [Industry Prize Winners]
• Nathan Mills and Yin Wang (2020), Web-based visualisation of OOP runtime [Industry Prize Winners] [Published Work]
• Joshua Kim and Tao Natalie Zhu (2020), Applying machine learning to education
• Maxwell Benson and Matthew Eden (2020), Image to code [Industry Prize Winners] [Published Work]
• Casey Wong and James Zhang (2020), Automated classification of computing education questions [Published Work]
• Sukhans Asrani and Timo van Veenendaal (2020), Adaptive learning platform that uses evidence-based learning techniques (Main supervisor: Andrew Luxton-Reilly) [Went on to be Zorbi: https://zorbi.cards]
• Joshua Fu and Ryan Lim (2020), Tangible-based programming environment for robots (Main supervisor: Craig Sutherland) [Published Work]
• Edwin Roesli and Chen Zhao (2019), Seismic preparedness for the general public using virtual reality
• Kenneth Foo and Steven Yan (2019), Understanding the AR and VR potential of mobile devices [Published Work]
• Grace Meng and Suying Shen (2019), Indoor navigation using augmented reality [Best Poster Prize Winners]
• Simon Su and Edward Zhang (2019), deCode: a 2.5D game for teaching and visualisation of algorithms and data structures (Main supervisor: Paul Denny) [Published Work] [Industry Prize Winners]
• Arun Ravindran and James Shore (2019), Augmented reality technology to improve the experience of building site visits (Main supervisor: Vicente Gonzalez) [Published Work]
• Gyeun Rho and Kenney Chan (2018), Exploring manual communication in virtual reality [Published Work]
• Raymond 'Akau'ola and Tevita Tanielu (2018), Exploring virtual reality for learning OOP concepts [Published Work]
• Oliver Allen and Xavier Downs (2018), Learning fundamental programming concepts without coding [Published Work] [Best Presentation Winners]
• Henry Wu and William Lin (2017), Helping students improve their code style
• Lubomira Tzankov and Shirin Heidari (2017), Assisted educational code reviews
• Asheer Ahmad and Harsh Chokshi (2017), Interactive learning of abstract programming concepts [Published Work]
• Jordan Wong and Kevin Yu (2017), Virtual reality for education [Published Work]
• Logan Horton and Samuel Butchart (2016), Object-oriented programming educational app
• Chahat Chawla and Hojun Joo (2016), MathsCast: Professional mathematics learning using Google Chromecast
• Manwoong Choi and Nam Jun Park (2016), Learning analytics application for ACP
• Mark Aziz and Ogen Odisho (2016), InteractiveDS: Teaching and learning data structure concepts via Visual Kinesthetic Pseudocode [Published Work] [Industry Prize Winners]
• Alan Lau and James Chen (2015), Mathematics manipulatives in a virtual and collaborative environment
• Chien-Han Lee and Tae Youn (2014), Mobile app for electronic lab management
• Mark Tooley and Surbhi Sharma (2014), Traffic signal timing data visualisation
• Akash Rampal and Benjamin Seymour (2013), Parallel programming analogy game
• Gunny Lee and Scott Goodhew (2013), Mobile exercise rep counter
• Andrew Luey and Michael Little (2013), Traffic information engine for Auckland traffic lights
• Jessica Hallett-Hook and Levi Patel (2013), Parallel programming in graphical Android application
• Ajay Parbhu and Conrad Johansson (2012), Inhibitors of parallelisation in mobile devices
• Eru Penkman and Dae Hong Kim (2012), Mobile web interface for Faculty of Engineering