Adaptive Intelligence Group

The Adaptive Intelligence group works on cutting-edge machine learning and computer vision research to build algorithms and systems that operate robustly in real-world settings, across various areas in addition to fundamental deep learning research, including biodiversity monitoring and precision agriculture, public health and vector surveillance, medical imaging, security and sustainable transport.

At the core of our work are three pillars:

• Perception and Autonomy: neuromorphic/event-based sensing, mapping and localisation, decision-making on embedded platforms.
• Efficient and Trustworthy Learning: robustness under shift, bias and fairness auditing, interpretable models and safety validation.
• Sensing and Information Fusion: principled multimodal fusion, uncertainty quantification, active sensing and observability/identifiability analysis.

Please visit our Research and Publications pages for more information.

How we work

We are interdisciplinary and impact-driven, partnering with biologists, clinicians, engineers, industry and public bodies. We combine careful methodology with open science (by releasing datasets, benchmarks and code) to accelerate translation. The lab operates across simulation, controlled trials and real deployments.

Join us

We welcome motivated PhD candidates, postdoctoral researchers and collaborators who care about building reliable, efficient and ethical AI in the wild.