Vehicular Sensing

Having spoken to some of the drivers of Uber's autonomous vehicle fleet in Pittsburgh, we found that one of the largest issues they face are the inability of the vehicles to see around corners. Indeed, traditional LIDAR sensing methods utilized by this vehicle can only see what eyes could.

We propose to use use WiFi signals, which can propogate through walls and around corners, to alleviate this issue. Futhermore, we are analyzing the possibility of using WiFi to identify the materials of obstructions.

Lora Scaling

LoRas are low-power radios that can transmit at low data rates across large distances. We see LPWAN devices as being the enablers of future IoT technology -- the medium through which developing "smart" technologies can send sensed data to the cloud. We consider two questions regarding the scaling of LoRa: (1) How to handle collisions with scale, and (2) What information we would be able to gather from collaborative LoRa nodes. This project was presented at Sigcomm 2017.

Software Engineering for Electronic Systems

For my project as an intern at Harris Corporation, I was working on Embedded Software Engineering for Communication Systems in the Electronic Systems Segment. Projects included a git guide, a C++ programming practices document, and a people counter implemented in Python on a Raspberry Pi.

Past Work

Noise Radar Target Location

For my honors thesis at Penn State, I worked with Professor Ram Narayanan to develop a program in Matlab that simulates target location of a multiple-transmitter, multiple-receiver ad hoc noise radar network.

Abstract: This project combines ideas extant in ad hoc radar networking and noise radar to create a target location system that can be easily set up and is difficult to detect. This was simulated in Matlab by placing a target, m transmitters, and n receivers at randomly generated X-Y coordinates and comparing the transmitted and received signals for the three receivers to determine target location. This successfully located a target, and despite limitations, shows a mathematically feasible way to create a discreet, quickly arranged radar locating system.

See also: midterm poster, full thesis.

The Mayfly Project

For my REU at Clemson University, I was working with Professor Jacob Sorber on the hardware team for a self-powered, fault-tolerant wireless sensor module to monitor leaf wetness in greenhouses. My responsibilities were primarily in design of a power board layout for an environment of inconsistent (solar) power for a module that includes a microcontroller, radio, and leaf wetness sensor.

See the final project poster here.