Publications

According to Google Scholar I have an h-index of 53 and a i10-index of 153. A full list of publications is available here. Below are some selected publications:

Conservation Technology

Hill, A. P, Prince, P., Snaddon, J. L., Doncaster, C. P. and Rogers, A. (2019) AudioMoth: A low-cost acoustic device for monitoring biodiversity and the environment. HardwareX, vol. 6, e00073.

​Hill, A. P, Davies, A., Prince, P., Snaddon, J. L., Doncaster, C. P. and Rogers, A. (2019) Leveraging conservation action with open‐source hardware. Conservation Letters, 12(5), e12661.

Hill, A. P, Prince, P., Covarrubias, E. P, Doncaster, C. P., Snaddon, J. L. and Rogers, A. (2018) AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment. Methods in Ecology and Evolution, 9(5), 1199-1211.

Climate Science

Goodwin, P., Leduc, M., Partanen, A’, Matthews, H. D., and Rogers, A. A computationally efficient model for probabilistic local warming projections constrained by history matching and pattern scaling. Geoscientific Model Development. To appear.

Citizen Science

Zilli, D., Parson, O., Merrett, G. V. and Rogers, A. (2014) A hidden Markov model-Based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring. Journal of Artificial Intelligence Research, 51, 805-827.

Moran, S., Pantidi, N., Rodden, T., Chamberlain, A., Griffiths, C., Zilli, S., Merrett, G. V. and Rogers, A. (2014) Listening to the forest and its curators: Lessons learnt from a bioacoustic smartphone application deployment. In: Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Toronto, Canada, 2387-2396.

Tran-Thanh, L., Stein, S. and Rogers, A. (2014) Efficient crowdsourcing of unknown experts using bounded multi-armed bandits. Artificial Intelligence, 214, 89-111.

Home Energy Management

Rogers, A., Ghosh, S., Wilcock, R. and Jennings, N. R. (2013) A scalable low-cost solution to provide personalised home heating advice to households. In: Proceedings of the Fifth ACM Workshop On Embedded Systems For Energy-Efficient Buildings (BuildSys), Rome, Italy.

Ghosh, S., Reece, S., Rogers, A., Roberts, S., Malibari, S. and Jennings, N. R. (2015) Modelling the thermal dynamics of buildings: A latent force model based approach. ACM Transactions on Intelligent Systems and Technology, 6, (1), 7:1-7:27.

Parson, O., Ghosh, S., Weal, M. J. and Rogers, A. (2014) An unsupervised training method for non-intrusive appliance load monitoring. Artificial Intelligence, 217, 1-19.

Smart Grid

Ramchurn, S. D., Vytelingum, P., Rogers, A. and Jennings, N. R. (2012) Putting the “Smarts” into the smart grid: A grand challenge for artificial intelligence. Communications of the ACM, 55, (4), 86-97.

Robu, V., Gerding, E. H., Stein, S., Parkes, D. C., Rogers, A. and Jennings, N. R. (2013) An online mechanism for multi-unit demand and its application to plug-in hybrid electric vehicle charging. Journal of Artificial Intelligence Research, 48, 175-230.

Ramchurn, S. D., Vytelingum, K., Rogers, A. and Jennings, N. R. (2011) Agent-based homeostatic control for green energy in the smart grid. ACM Transactions on Intelligent Systems and Technology, 2, (4), 31.

Sensor Networks

Stranders, R., Munoz de Cote, E, Rogers, A. and Jennings, N. R. (2013) Near-optimal continuous patrolling with teams of mobile information gathering agents. Artificial Intelligence, 195, 63-105.

Osborne, M. A., Roberts, S. J., Rogers, A. and Jennings, N. R. (2012) Real-time information processing of environmental sensor network data using Bayesian Gaussian processes. ACM Transactions on Sensor Networks, 9, (1), 1:1-1:32.

Multi-Agent Systems

Rogers, A., Farinelli, A., Stranders, R. and Jennings, N. R. (2011) Bounded approximate decentralised coordination via the max-sum algorithm. Artificial Intelligence, 175, (2), 730-759.

Farinelli, A., Rogers, A., Petcu, A. and Jennings, N. R. (2008) Decentralised coordination of low-power embedded devices using the max-sum algorithm. In: Proceedings of the Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Estoril, Portugal, 639-646.