Information Systems and Operations Management
AI-based ghostwriter and ghostbuster
Dr Johnny Chan
Faculty of Business
Project code: BUS006
The recent development of natural language processing (NLP) models and tools in artificial intelligence (AI) has made content generation almost costless. Given a sentence of words, they could make a new and coherent story out of it. Very soon these models will past the Turing test and no one could tell if an article is composed by human or not. The problem is, these AI-based ghost-writers could be abused and contribute towards the spread of fake news and hate speeches, or they could make all essay type assessments in schools meaningless.
The purpose of this design science project is to demonstrate how an AI-based ghostwriter works, and to design an AI-based ghostbuster that could potentially counter them by estimating the likelihood of any writing being generated by AI. The student will apply cutting edge NLP techniques to design and develop a proof-of-concept prototype for this research.
A virtual reality environment for data visualisation to support more effective decision-making
As organisations become more reliant on data extraction, handling, storage and processing, data visualisation is evolving to help decision-makers deal with and make sense of the information contained in already common, large data sets.
Our goal is to design and build an innovative system for a richer and more meaningful data visual experience by incorporating a mix of virtual and augmented reality technologies. The system will allow the display of a navigable, distributed, virtual environment that will provide executives and analysts an immersive visual sensory experience and an innovative way of seeing, interpreting and using data for improved business decision-making.
This project requires the candidate to have basic coding skills and be able to achieve system integration across varied outlets. The prototype will be built using Unity3D, Photon Engine for space synchronisation, and Microsoft PlayFab, and a range of back-end services, which will be augmented by other services, such as image and text recognition.
Humanitarian logistics – practical challenges
Assoc. Prof. Tiru Arthanari
Faculty of Business
Project code: BUS014
Practitioners involved in humanitarian logistics face unpredictability of demand, suddenness of disaster occurrence, the high stakes associated with the timeliness of deliveries, and a lack of resources as well as loss of information visibility. There is a mismatch between most operations research and operations management models and approaches published, and the insights practitioners are looking for. How can this be rectified by knowing what practitioners really want? How do we provide truly insightful solutions to the practitioners? The student research scholars will collect qualitative information from participants from humanitarian organisations and other agencies in New Zealand. This will be analysed to capture valuable information on practitioners’ experiences from the field, and the conflicts and inefficiencies they have to live with. Students involved will develop skills in collecting qualitative data and learn tools for analysing the same. In addition, students will learn why a systemic view is essential for good research.