Research

Research Topics
Novel Computing

At BRAQ Lab, our research centers on Novel Computing, with a primary focus on advancing Quantum Computing and Post-Quantum Computing technologies. We develop innovative quantum algorithms and brain-inspired quantum neural networks that harness the unique properties of quantum mechanics to push the boundaries of computational intelligence. In parallel, we address critical security challenges posed by the advent of quantum technologies by designing robust post-quantum cryptographic methods and secure computing architectures. Our integrated approach aims to build powerful, efficient, and secure computing systems that are prepared to meet the demands and threats of the future digital landscape.

Artificial Brain

Our Artificial Brain research explores the complex mechanisms of neural computation to deepen our understanding of brain function and dysfunction, providing foundational insights into human cognition. By modeling these intricate processes, we aim to advance brain-inspired AI systems capable of achieving brain-like general intelligence. Utilizing rich, multidimensional data streams from virtual environments—such as the Metaverse, which acts as a digital twin of the real world—our work opens new avenues for cognitive modeling and AI innovation. Ultimately, we strive to bridge biological intelligence and artificial systems, driving breakthroughs that can revolutionize multiple fields through more adaptive, explainable, and human-aligned AI.

Autonomous Systems

In our Autonomous Systems research, we explore the transformative power of advanced AI to create distributed, secure, privacy-preserving, and human-centered autonomous technologies. We focus on enhancing transparency and trust through Explainable Robotics, enabling more intuitive and accountable human-AI collaboration. By integrating cutting-edge connectivity solutions such as 5G and 6G within the Internet of Vehicles, we aim to foster seamless, democratic automation that prioritizes user safety and privacy. Our work also advances AIoT-powered drones capable of intelligent operation in extreme and dynamic environments, expanding the frontier of autonomous capabilities. Together, these efforts seek to develop autonomous systems that are not only efficient and resilient but also aligned with human values and societal needs.

Cross-Disciplinary Applications

This theme showcases the application of AI and computational methods to real-world challenges in finance, healthcare, and the environment. In Financial Computing, models detect anomalous trading to enhance market integrity. In Medical Computing, deep learning supports diagnosis, treatment prediction, and rehabilitation. In Environmental Computing, AI enables ecological monitoring and marine pollution detection using remote sensing. These projects demonstrate how intelligent systems can deliver impactful solutions across diverse domains.

 

Lab Facilities
Workstation

A High-End Computing (HEC) cluster comprising 13,000 CPU cores and 24 NVIDIA Tesla V100 GPUs provides advanced computational capabilities.

Additionally, an HP Z8 Tower G4 High-Performance Workstation, valued at £10,500 and equipped with an 18-core Intel® Xeon® Gold processor, is available to support researchers’ computational needs.

Drones

A DJI Avata Pro-View Drone Combo has been explored for various purposes such as environment monitoring, forest biodiversity study, and agriculture investigation.

3D Printer

A Creality 3D Printer is available for various purposed design and implementation.