Regular biography
Andrew Markham is a Professor of Computer Science at the University of Oxford, affiliated with the Department of Computer Science. His research interests include systems, artificial intelligence, and machine learning, with a focus on sensors, signal processing, and physical AI. He works on Cyber Physical Systems and leads the Intelligent Earth Centre for Doctoral Training. Markham has supervised over 25 PhD students and has published more than 200 papers, along with 6 patents. He joined Oxford in 2008 and was promoted to full professor in 2021. His work includes projects such as Mobile and Sensor Nodes for Wildlife Monitoring and Autonomous Ubiquitous Sensing.
Scholar-generated biography
Andrew Markham is a researcher in the Department of Computer Science at the University of Oxford, focusing on Internet of Things, Conservation Technology, and Machine Reality. His work explores advanced technologies for environmental monitoring and sustainable systems, with a strong emphasis on sensor networks and data-driven solutions. Markham's research includes developing efficient methods for semantic segmentation of large-scale point clouds, improving visual SLAM and structure from motion in dynamic environments, and enhancing indoor location technologies. His publications also address challenges in inertial odometry, 3D point cloud processing, and non-line-of-sight identification. Markham's contributions span both theoretical and applied aspects of computer vision and robotics, with a focus on real-world deployment and scalability.