MINT Research Group

We are intrested in developing mobile and networked sensing systems using interconnected sensors to collect and analyze data from various environments. These systems are integral to many modern applications, including smart homes, smart cities, environmental monitoring, and autonomous vehicles, etc. Current research projects include robust human activity recognition with pre-trained AI, and context-aware mobile sensing.

We aim to revolutionize healthcare by leveraging advanced technologies like artificial intelligence (AI) and machine learning (ML) to enhance patient care and streamline medical processes. On-going research projects include Photoplethysmography (PPG)-based continuous sensing for cardiovascular applications, everyday insulin mangement for people with diabetes, etc.

Mobile and satellite networks are increasingly converging to provide seamless connectivity, especially in remote and underserved areas. In recent years, the emergence of large Low-Earth-Orbit (LEO) constellations, comprising thousands of satellites, has been driven by lower launch and manufacturing costs of small satellites. We are investigating the performance and characteristics of LEO networks, based on which we can enable satellite-based sensing systems and facilitate mobile and satellite networking.