Tutorial Fellow in Computer Science, Professor of Computer Science
Teaching Computer Science
Email: alex.rogers@cs.ox.ac.uk
Twitter: @alex_rogers_cs
Prof. Alex Rogers develops and applies artificial intelligence and machine learning approaches within physical sensor systems to address real-world problems focusing on sustainability. His recent work has addressed future energy systems, such as the smart grid, citizen science platforms, and environmental monitoring, and typically involves the real-world deployment of novel approaches in devices, smartphones or the cloud. He was the co-founder of a home heating advice spin-out, called Joulo, that combined a unique low-cost temperature logger with cloud-based analytics. He maintains the GridCarbon app for monitoring the carbon intensity of the UK electricity grid, is searching for the New Forest cicada using smartphones and is developing a low-cost, open-source, acoustic logger, called AudioMoth, for environmental and biodiversity monitoring.
AP Hill, P Prince, EP Covarrubias, CP Doncaster, JL Snaddon, A Rogers (2018) AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment. Methods in Ecology and Evolution, 9(5), pp. 1199-1211.
D Zilli, O Parson, GV Merrett, A Rogers (2014) A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring.
Journal of Artificial Intelligence Research 51, pp. 805-827
S Ramchurn, P Vytelingum, A Rogers, NR Jennings (2012)
Putting the" smarts" into the smart grid: A grand challenge for artificial intelligence. Communications of the ACM, 55(4), pp. 86-97.