My current research is focused on efficient wireless power transmission to small wearable devices and sensors that form the Internet of Everything (IoE). Given the dispersed nature of the receivers, in order to be able to achieve scale in the number of IoE devices the transmitter also needs to be portable, like a smartphone. This scenario is different from a more conventional wireless charging system, with the end-to-end efficiency being a more important than received power. I am trying to develop efficient power converters and new efficiency estimation techniques to maximize end-to-end efficiency across the charge cycle of the receiver battery. I am also looking at protocols and circuits for targeted wireless power delivery in the presence of a swarm of IoE receiver devices.
The work I did for my Master's thesis was focused on delivering low-cost, ubiquitous health monitoring and personal computing solutions. More specifically, I worked on a Body Area Network that can serve a heterogeneous group of sensor nodes around the body using e-textiles. We designed a single network that could simultaneously transmit power to and communicate (in either direction) with a sensor node. We integrated the circuits for power and data transfer with a custom-designed Medium-Access and Control (MAC) protocol on a single chip.
I have previously worked on board-level interconnects that use novel termination schemes to achieve transmitter output termination with significant power savings compared to traditional ways of doing the same. I have worked on designing efficient energy harvesters during my internship at TI and on channel diversity analyses as part of the 802.11ac standardization effort during my internship at Qualcomm.
A copy of my resume may be found here (pdf). An updated copy may be obtained upon request.