Publications

  • Near Real-Time Social Distancing in London, James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O’Hara, Neil Dhir, Theodoros Damoulas, The Computer Journal, Volume 67, Issue 1, January 2024, Pages 95–109, https://doi.org/10.1093/comjnl/bxac160.
  • High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery, Shreshth A Malik*, James Walsh*, Giacomo Acciarini, Thomas E. Berger, Atilim Gunes Baydin. November 2023 Machine Learning and the Physical Sciences Workshop, NeurIPS 2023.
  • Project Odysseus, James Walsh, Patrick O’Hara, Chance Haycock, Edward Thorpe-Woords, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, James Brandreth, Oscar Giles, Neil Dhir, Theodoros Damoulas, Computing Insight UK, 2020.
  • An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System, Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O’Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas, In Workshop on Machine Learning in Public Health, NeurIPS’20.

Awards

  • Winner of the Wilkes Award for 2024 (link)
  • Won CIUK Student Poster Competition 2020