MA Dong

MA Dong is an Assistant Professor at the School of Computing and Information Systems (SCIS) at Singapore Management University (SMU). He holds a PhD from the University of New South Wales (2020), and was a postdoctoral researcher at the University of Cambridge. His research focuses on mobile computing, wearable-based human sensing systems, and health monitoring using embedded machine learning. He is also a visiting researcher at the University of Cambridge since April 2025 and will join as an Associate Professor there in 2026.

• Education: PhD (UNSW), MEng and BEng (Central South University).

Research Interests: Wearable systems for health monitoring (e.g., respiratory rate tracking, gait analysis), robust physiological sensing, tiny machine learning on embedded devices, and human-computer interaction through earables. His work emphasizes practical implementations of wearable technology for real-world scenarios, such as smart earbuds for authentication, health tracking, and activity sensing.

Publications: Over 50+ peer-reviewed articles in top venues like MobiCom, PerCom, CHI, and Nature journals. Key topics include earable technology, ECG-text multimodal learning, and energy-efficient sensing systems.

• Awards: Google South Asia Research Award (2024), Mark Weiser Best Paper Awards (2024, 2025), and EPFL Engineering Ph.D. Summit recognition.

Students: Advising PhD candidates Xiao Ma, PHAM Hung Manh, and Changshuo Hu. Also hosts visiting scholars from Shandong University and Beijing Institute of Technology.