Dr Michael Mangan
MEng, MSc, PhD
School of Computer Science
Senior Lecturer in Machine Learning and Robotics
Operations Director of 葫芦影业 Robotics
Member of the Machine Learning research group
+44 114 222 1905
Full contact details
School of Computer Science
Regent Court (DCS)
211 Portobello
葫芦影业
S1 4DP
- Profile
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Michael Mangan joined the Department of Computer Science at the University of 葫芦影业 in April 2018. Before joining he was a Senior Lecturer in Computer Science in College of Science and member of the Lincoln Centre for Autonomous Systems (L-CAS).
He received his undergraduate degree in Avionics (MEng) from the University of Glasgow in 2004, before moving to the University of Edinburgh where he completed an MSc in Neuroinformatics (2006) and a PhD in biorobotics (2011).
He remained at the University of Edinburgh for the next 4 years receiving funding awards from the BBSRC and EPSRC. He joined the Lincoln Centre for Autonomous Systems in April, 2016.
- Research interests
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Dr Mangan's primary research focuses on modelling the navigational behaviour of insects, which are able to travel through complex environments robustly despite their limited nervous and sensory systems. Revealing the sensory and algorithmic underpinning of these capabilities will not only aid the understanding of biological systems but may also offer engineering solutions - building robots able to navigate as well as the humble ant.
- Publications
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Journal articles
- . Science Robotics, 8(82).
- . Science Advances, 9(16).
- . Bioinspiration & Biomimetics.
- . eLife, 11.
- . IEEE Robotics and Automation Letters, 1-1.
- . eLife, 10.
- EchoVPR: Echo State Networks for Visual Place Recognition.
- EchoVPR: Echo State Networks for Visual Place Recognition.. CoRR, abs/2110.05572.
- . Scientific Reports.
- . The Journal of Experimental Biology, 223(14).
- . eLife, 9.
- . Animal Cognition.
- . Journal of Neuroscience Methods, 330.
- . Sensors, 20(1).
- . Interface Focus, 8(4), 20180010-20180010.
- . Environmental Modelling & Software, 99, 88-100.
- . Current Biology, 27(3), 401-407.
- . Frontiers in Behavioral Neuroscience, 10(1).
- . PLoS Computational Biology, 12(2), e1004683-e1004683.
- . Proceedings of the Royal Society B: Biological Sciences, 282(1816).
- . Journal of Comparative Physiology A, 201(6), 585-597.
- . Journal of Experimental Biology, 218(6), 819-823.
- . Proceedings of the National Academy of Sciences, 111(42), E4396-E4397.
- . Journal of Experimental Biology, 216(10), 1766-1770.
- . Behavioral Ecology, 23(5), 944-954.
- . Biological Cybernetics, 101(4), 307-323.
- . Adaptive Behavior, 16(4), 277-280.
- . Adaptive Behavior, 16(4), 275-276.
- . Proceedings of the Royal Society B: Biological Sciences, 275(1637), 915-921.
- . Adaptive Behavior, 15(3), 273-287.
Chapters
- , Lecture Notes in Computer Science (pp. 211-222). Springer International Publishing
- , Lecture Notes in Computer Science (pp. 223-233). Springer International Publishing
- , Biomimetic and Biohybrid Systems (pp. 415-426). Springer International Publishing
- Preface (pp. V-VII).
- Springer International Publishing
Conference proceedings papers
- (pp 459-470)
- . 2017 IEEE International Conference on Computer Vision Workshops (pp 2840-2849). Venice, Italy, 22 October 2017 - 29 October 2017.
- (pp 515-521)
- (pp 199-210)
- . Robotics: Science and Systems X, 12 July 2014 - 16 July 2014.
- (pp 427-430)
- . UKRAS20 Conference: 鈥淩obots into the real world鈥 Proceedings
- . UKRAS20 Conference: 鈥淩obots into the real world鈥 Proceedings
Preprints
- Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs, arXiv.
- , Cold Spring Harbor Laboratory.
- , Cold Spring Harbor Laboratory.
- From skylight input to behavioural output: a computational model of the insect polarised light compass.
- , Cold Spring Harbor Laboratory.
- , Cold Spring Harbor Laboratory.
- .
- Place recognition with event-based cameras and a neural implementation of SeqSLAM.
- Grants
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Current research grants
- ActiveAI - , EPSRC, 11/2019 - 10/2024, 拢953,584, as Co-PI
Previous research grants
- SkyEye: Feasibility Study of Vision Based Localisation in GPS-compromised Environments, EPSRC, 10/2020 - 03/2022, 拢24,993, as PI
- Brains on Board: , EPSRC, 12/2016 - 06/2022, 拢2,128,934, as Co-PI
- , EPSRC, 02/2015 - 08/2018, 拢558,417, as Researcher Co-PI
- Professional activities and memberships
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Member of the Machine Learning research group and 葫芦影业 Robotics