My research is on wireless sensors and sensor data analytics, most recently the intersection of wireless sensing for health, ultra-low power communication, mobile phone-based sensing, and mobile crowdsourcing. Some of our ongoing work involves holistic sensing of behaviors, for example, designing body sensor systems that can measure activity, gestures, physiology, visual and auditory context, and social interaction continuously in real-world settings to understand and predict addictive behavior such as drug use and smoking. Other ongoing work relates to designing complex wireless sensors with cameras and microphones that operate and communicate solely via harvested energy, such that we no longer need to worry about re-charging our wearables. Another interest of mine is in mobile crowdsourcing, where we analyze task markets that have tens of thousands of participants performing small jobs in the physical world — in this context, we try to understand the interaction between incentives, mobility in the physical world, efficiency, retention and data quality, to help us improve the design of these systems.
