Current research within the Institute focuses on several research themes, including:

Advanced 5G applications

Processing and transmission of high-bandwidth, low-latency and interactive VR and AR media, UltraHD, Multi-View Video, High Dynamic Range content, volumetric and point-cloud media, immersive audio systems and applications, intelligent network resource allocation, multi-access edge computing, mmWave 5G systems.

Artificial Intelligence and Machine Learning

The development, analysis, and application of machine learning techniques, including deep learning, reinforcement learning, federated learning, adversarial learning, generative AI, large language models, and neuromorphic computing.

FinTech

The political economy of digital finance, neo-banks, cryptocurrencies, stablecoins, Central Bank Digital Currencies (CBDCs), RegTech, Artificial Financial Intelligence, digital sandboxes and innovation hubs. 

Human Behaviour Analysis

Affective computing and emotion recognition, human-computer interaction, activity recognition and monitoring, biometric data processing, person re-identification and personality analysis.

Intelligent and Autonomous Mobility

Multimodal data fusion for robust decision-making in autonomous vehicles for free space detection, self-localisation, pedestrian activity recognition and anticipation, cooperative vehicle control, traffic analysis and optimisation in future cities.

Market Intelligence and Personalised E-Commerce

Consumer decision-making, perception and trust triggered by virtual presentation and information disclosure, consumer profiling and digital psychological metrics (affect, personality, preference, coercive inclination etc.) revealed by clickstream data, social network analysis and insight generation, influence on consumer choices through recommendation algorithms.

Sports Analytics

Multimodal data processing and analysis for insight generation into physical athlete performance, tactical performance and risk factors, understanding of team level tactics and decision-making patterns.

Trust, Identity, Privacy and Security

Privacy-preserving data processing techniques, advanced cryptographic techniques, user activity and modelling, identification, evaluation and mitigation of emerging cyber-threats using advanced signal processing and machine learning methods.