Human - Artificial Intelligence (AI) interaction techniques for decision making using big data analytics.

PhD

Human - Artificial Intelligence (AI) interaction techniques for decision making using big data analytics.

Outline

Data analysis is a key part in intelligent decision making. With the advancement of IOT, data became available in massive capacities in many complicated systems/applications. With this big data, data processing for decision making became a problem. Most of the researchers have used modern AI techniques to overcome this issue. Modern AI techniques such as ANN and Machine learning algorithms are widely used in big data analytics.

Even with this advance technologies, some of the complex decisions still have to be made with human inputs. For some of the applications, it will be much more efficient to develop AI techniques pre-process big data and present in a way for humans to make the decision. Furthermore, AI techniques can be used in any sequence in the human decision making process, pre-process, post-process after human input or in the middle of the process.

This PhD project proposed to investigate the best possible Human - Artificial Intelligence (AI) interaction techniques for decision making using big data analytics.

Supervisory Team

Principal Supervisor: Dr Gayan Kahandawa

Co-supervisors:

Dr Tanveer Choudhury

Dr Linh Nguyen