Imperial College London


Faculty of EngineeringDyson School of Design Engineering

Research Associate in Autonomous Drones







Dyson BuildingSouth Kensington Campus





I am a research associate in the Dyson School of Design Engineering at Imperial College London. I am currently working on the UKRI-NSF Signals in the Soil funded Wireless In-Situ Soil Sensing Network for Future Sustainable Agriculture project, which applies autonomous UAV systems to precision irrigation and agriculture.

Prior to this I was a research associate at Newcastle University, where I developed computational models of the praying mantis' 3D vision. My PhD was completed at the University of York, and focussed on immune-inspired fault diagnosis for swarm robots.

My primary research interests are bio-inspired systems, swarms and improving low-power autonomous systems.



O'Keeffe J, Yap SH, Llamas-Cornejo I, et al., 2022, A computational model of stereoscopic prey capture in praying mantises., Plos Comput Biol, Vol:18

D'Angelo G, Janotte E, Schoepe T, et al., 2020, Event-Based Eccentric Motion Detection Exploiting Time Difference Encoding, Frontiers in Neuroscience, Vol:14

Nityananda V, O’Keeffe J, Umeton D, et al., 2019, Second-order cues to figure motion enable object detection during prey capture by praying mantises, Proceedings of the National Academy of Sciences, Vol:116, ISSN:0027-8424, Pages:27018-27027

O'Keeffe J, Tarapore D, Millard AG, et al., 2018, Adaptive Online Fault Diagnosis in Autonomous Robot Swarms, Frontiers in Robotics and Ai, Vol:5


Arteaga JM, O'Keefe J, Boyle DE, et al., 2021, Interrogation and charging of embedded sensors by autonomous vehicles, 2021 21st International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers), IEEE, Pages:296-299

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