Intelligent Energy Management
Researchers have eveloped novel machine-learning algorithms to estimate and predict energy use both in the electricity-demand in the national grid and the thermal characteristics of buildings and homes.
Researchers have eveloped novel machine-learning algorithms to estimate and predict energy use both in the electricity-demand in the national grid and the thermal characteristics of buildings and homes.
Southampton research into agent-based computing helped spur the GB Sailing Team to Olympic success in 2012 and is having a significant impact on the defence, aerospace and civil contingency industries.
Using computer vision techniques, our pioneering work in gait biometrics has had a significant impact on public policy, national security processes, forensic service practice and the economy.
AI researchers have designed a new pricing system based on online auction platforms, to make charging electric vehicles more effective.
Richard Watson is an Associate Professor working in evolutionary computing. His research showing that evolution is able to learn from previous experience has been published in New Scientist.
Niranjan is researching clinical data analysis, using machine learning, in fields such as cancer care. His research interests are in machine learning, signal processing and computational biology.
Tim Heads the Agents, Interaction and Complexity Research Group. He is an expert in artificial intelligence, logic and automated reasoning, with applications in healthcare, intelligence analysis, security and IoT.