Professor Ganesan's research is at the intersection of low-power sensing and communication, networked systems, and machine learning to enable pervasive sensing at scale for societal applications. His recent work includes the design of ultra-low passive radios for wearables, novel wearable technologies such as low-power eye trackers to monitor health signals, and robust detection of important health targets such as drug use, smoking, and over-eating. He is a thrust lead on the NIH funded MD2K Center for Excellence on Mobile Sensor-to-Knowledge and on the executive committee of the Center for Personal Health Monitoring at UMass Amherst.