Dong Ma

Dr. Dong Ma is an Associate Professor and Fellow of Queens' College at the University of Cambridge, affiliated with the Department of Computer Science and Technology. His research interests include Wearable Computing, Human-Machine Interaction, Physiological Foundation Models, Embedded Machine Learning, and Spiking Neural Networks. He is also involved in themes related to Human-Centred Computing, Mobile Systems, Robotics, and Automation. Dr. Ma can be contacted via email at dm878@cam.ac.uk or through his personal homepage at https://www.cl.cam.ac.uk/people/dm878.

Dong Ma is an Associate Professor at the University of Cambridge, specializing in Wearable Computing, Human-Computer Interaction, and Embedded Machine Learning. His research focuses on developing energy-efficient and context-aware wearable systems for health monitoring and human activity recognition. By integrating advanced sensing technologies with machine learning, Ma explores novel applications in biopotential signal processing, motion-resilient heart rate monitoring, and battery-free gesture recognition. His work emphasizes the design of low-power, compact, and user-centric wearable devices that leverage kinetic energy harvesting, in-ear microphones, and ultrasonic transducers for robust and unobtrusive sensing. Ma's contributions span both theoretical frameworks and practical implementations, addressing key challenges in mobile health and human-computer interaction.