Department of Electrical and Computer Engineering

Part IV projects

The Part IV research project is a learning exercise allowing you to tackle a significant problem in a similar way to how you might approach it in your professional career.


The Part IV research project requires independent thought and action. In most cases, you will be working in groups of two under the direction and continuing guidance of a project supervisor and a co-supervisor. Work on the research project commences by early March and continues to the end of September, with the expectation that you will spend on average about 10 hours per week on your project throughout the duration. A project planner, which indicates the important dates, is available for students to help planning the project.

You will draw upon the theoretical knowledge and skills you have acquired so far and extend these in many respects. A comprehensive survey of the field in which the problem lies and of alternative approaches to the problem will precede detailed work on a solution to the research problem.

The research problem might:

  • Require the design of equipment to carry out some specific task
  • Be experimental in the sense that it necessitates investigating phenomena or the behaviour of complex equipment
  • Require the computer analysis and simulation of an engineering system
  • Require a software solution
  • Involve elements of all four of the preceding activities

In each case the proposed solution to the research problem should be thoroughly tested and evaluated to determine its adequacy. The assessments, which composes of a provisional report, a final report, a public seminar and a demonstration, will be on an individual basis throughout the research project. More details about the projects can be found in the Part IV Research Project Handbook


2017 ECE Part IV Best Projects


Industry Sponsor

Best Project


AI & Machine Learning 1

Orion Health

#12:   Machine learning models for estimating SoC of a Li-ion battery

Emily Melhuish & Murali Magesan

AI & Machine Learning 2


#99:    Fall detection system using Microsoft’s Kinect

Van Pham & Vincent Nio

Embedded Systems


#52:    Collision detection for Rowing Skiffs

Thomas Hallwright & William Guest

Games & Education Aids 1



#59:    Developing an online tool to help novice programmers improve debugging skills

Elizabeth Stevenson & Emma McMillan

Games & Education Aids 2


#113:  Educational Android App for Young Musicians Learning Music Theory

Kurtis Aberhart & Sophia Ritchie

Green Energy Technologies

Fisher & Paykel

#116:  Optimal Control of Wind Energy Systems

Xinyuan Li & Myoung Sun Lee

Human Computer Interaction


#26:   The Digitization of Cooking through the use of Advanced Human Computer Interaction

Akram Darwazeh & John Ramirez

Image & Voice Processing


#103:  Real-time Wildlife Detection and Identification for Monitoring the Prevalence of Pests

Finn Kennedy & Siobahn Doughty

Intelligent Systems & Industrial Informatics


#42:    Stereo-Vision-based Joint Tracking and Exercise Recognition

Farmehr Farhour & Trenton Wishart

Parallel & Cloud Computing


#72:    Circuit sketching and electronic log book on Android tablet

Clarentia Mursalim & Maanasa Magatala

Power Electronics
& Electronic Systems


#34:    Posture Alert

Nipoon Patel, Venkata Muppavaram

Power Systems


#112:  Avoiding Ferroresonance in Distribution Power System Network Operation

Ronak Jamnadas & Ronish Lal

Radio Systems

RF Test Solutions

#15:    High-Performance Metasurface Waveguides

Abdul Dahlan & Syed Hashmi



#30:    NI Autonomous Robotics

David Hamill & Ethan Yee

Signal Processing


#106:  Music Notation Printer

Wan Chung Tong & Filemoni Filemoni

Smart Phone & Tablet Applications

Ernst & Young

#75:    BackPocketDriver: An App to Encourage Safe Driving Youth Drivers

Catherine Shanly & Michael leti

Software Development Tools And Processes


#102:  Collaborative Lo-Fi Prototyping Tool using the Microsoft Surface Hub

Isabel Zhuang & Rebecca Lee


Rockwell Automation

#4:      FPGA Based Design and Implementation of DS-CDMA System

Keenan Earnest & Sultan Al Balushi

Web Tools & Applications


#100:    Online Platform for Tutoring Services

Benjamin Mitchell & Hanzhi Wang

Wireless Power Technologies

Power by Proxi

#86:    A Low-Cost Misalignment Tolerant Wireless charger
for Consumer Electronics

Alec Lilley & Xiangming Wu

Best Poster


#68: Project Smile

Michael Kim and Taranpreet Kohli

Best Video – EEE


#52 Rowing Skiff Collison Detection System

Thomas Hallwright & William Guest

Best Video – CEE


#34 Posture Alert!

Nipoon Patel & Venkata Muppavaram

Best Video – SE


#96 A serverless cloud-based interface for monitoring global machine performance

Abby Thompson and Christina Bell

Photos from 2017 Part IV Projects

Project topics

Project topics, for students to work on as their Part IV research project, are usually proposed by staff members as well as industry collaborators. These topics will be in areas that are of interest to staff members and their industry collaborators. In some cases, students also propose their own project topic, which they wish to pursue as their Part IV research project.


Projects system

The online Part IV project system manages all aspects of Part IV research project administration including submission of your project preferences, project allocation right through to marking, organisation of seminars and displays, as well as submission of your final report.



Resources and consumables

Each project group will be allocated a technician in charge as well as a space in a specialised research laboratory with instrumentation required for their project. Electronic components and development kits required for the project can be obtained from the ECE store, which stocks some of the commonly used items. However, many projects will require the purchase of components from external sources, and it is important to follow the steps outlined in purchasing policy and procedures, to ensure that orders are placed correctly using the purchase order form.



Project Planner
(41.6 kB, PDF)
Project sponsorship guidelines
(33.4 kB, MSWORD)
Purchase Order form
(122.6 kB, EXCEL)

Industry involvement

The Electrical and Computer Engineering department welcomes industry involvement in the part IV research project activities. One way of getting involved in this activity is to propose and sponsor projects that are of interest to the company. The project sponsorship guidelines details the principles under which the industry collaborations should take place. Companies can also sponsor a project category and take part in the industry judging activity during the project exhibition day.

2017's category sponsors include:

  • Orion Health:  AI & Machine Learning 1
  • Crown: AI & Machine Learning 2
  • Eroad: Embedded Systems
  • inGame: Games & Education Aids 1
  • MYOB: Games & Education Aids 2
  • Fisher & Paykel: Green Energy Technologies
  • Vista: Human-Computer Interaction
  • Electrotest Ltd: Image and Voice Processing
  • Braemac: Intelligent Systems & Industrial Informatics
  • Compucon: Parallell & Cloud Computing
  • Tru-Test Group: Power Electronics & Electronic Systems
  • LineTech: Power Systems
  • RF Test Solutions: Radio Systems
  • Cubic: Robotics
  • Elecsyn: Signal Processing
  • Ernst and Young: Smart Phone & Tablet Applications
  • Glidepath: Software Development Tools & Processes
  • Rockwell Automation: Telecommunications
  • Spark NZ: Web Tools & Applications
  • Power by Proxi: Wireless Power Technologies
  • IEEE: Best Poster


If you have any queries relating to part IV research projects or industry involvement, please contact the relevant Part IV research project coordinators: