MINT Research Group

We are dedicated to advancing mobile and networked sensing systems by utilizing interconnected sensors to gather and analyze data across diverse environments. These systems play a pivotal role in numerous modern applications, such as smart homes, smart cities, environmental monitoring, and autonomous vehicles. Our current research focuses on areas like robust human activity recognition using pre-trained AI models and context-aware mobile sensing.

Our mission is to transform healthcare by harnessing cutting-edge technologies, such as artificial intelligence (AI) and machine learning (ML), to improve patient care and optimize medical processes. We are particularly interested in developing out-of-clinic mobile technologies for this purpose that can be applied anytime and anywhere. Current research initiatives include continuous monitoring for cardiovascular health using Photoplethysmography (PPG) and innovative solutions for daily insulin management for individuals with diabetes.

Mobile and satellite networks are rapidly converging to deliver seamless connectivity, particularly in remote and underserved regions. The recent proliferation of large Low-Earth-Orbit (LEO) satellite constellations—comprising thousands of satellites—has been fueled by the reduced costs of launching and manufacturing small satellites. Our research focuses on analyzing the performance and characteristics of LEO networks, paving the way for satellite-based sensing systems and the advancement of integrated mobile-satellite networking.