The Intelligent Data Analytics (IDA) research team draws on new advances in AI to develop intelligent algorithms that can process and analyse complex data from diverse sources, such as visual, textual, and physiological data. By exploring new AI concepts and techniques within areas such as Deep Learning, Computer Vision, and Natural Language Processing, the team aims to extract meaningful insights from large datasets, deciphering complex data patterns and relationships that would be challenging or impossible for humans to identify manually. Their research spans several domains, applying these AI-driven methods to real-world problems such as Healthcare, Finance, and Manufacturing, where understanding such data trends is essential for informed decision-making.
The team’s exploration of Brain-Computer Interfaces (BCI) further enhances their capabilities, focusing on technologies that enable direct communication between the brain and external devices. By analysing neural signals, they develop algorithms capable of interpreting brain activity in real-time, with potential applications in human-computer interaction, assistive technologies, and neurorehabilitation.
In addition, the team conducts research in Extended Reality (XR) technologies, including Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). By integrating AI with XR, the IDA team develops immersive, intelligent systems capable of responding to user actions in real-time, thus enabling more dynamic and adaptive environments. This area of research is particularly impactful in fields such as education, skills, and healthcare, where interactive and responsive systems can significantly enhance user experiences.
By combining the strengths of new AI algorithmic development, with advancements in BCI and XR, the IDA research team is pushing the boundaries of intelligent systems.