Andrew Markham
Scholar

Andrew Markham

Google Scholar ID: g3JTO9EAAAAJ
Department of Computer Science, University of Oxford
Internet of ThingsMachine LearningMachine Reality
Citations & Impact
All-time
Citations
12,796
 
H-index
51
 
i10-index
121
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Selected Publications: 'mmPoint: Dense Human Point Cloud Generation from mmWave' (BMVC 2023), 'Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian Detection' (WACV 2023), 'Illumination-Aware Hallucination-Based Domain Adaptation for Thermal Pedestrian Detection'.
Research Experience
  • Currently a Professor of Computer Science at the University of Oxford. Was a Postdoctoral Fellow in the department from 2008 to 2012, appointed as an Associate Professor in 2013, and awarded the title of full Professor in 2021. Leads a large group of researchers and students, with research often involving interdisciplinary collaboration.
Education
  • PhD in Electrical Engineering, University of Cape Town, South Africa (2008): 'On a wildlife tracking and telemetry system: a wireless network approach'; BSc in Electrical Engineering, First Class Honours, University of Cape Town, South Africa (2004).
Background
  • Research Interests: Sensors, signal processing/machine learning, and systems. Focuses on making machines better understand the physical world, particularly in environments where GPS fails (e.g., underground or indoors). Utilizes magneto-inductive tracking and communication. Research areas include AI for the environment, such as being part of the management committee of the Intelligent Earth CDT and designing technology for conservation.
Miscellany
  • More information about his research can be found on his personal website.
Co-authors
0 total
Co-authors: 0 (list not available)