My research is focused on vehicular perception systems in a collaborative vehicle environment. Modern production vehicles have a variety of sensors that help them perceive the environment around them and wireless communication methods are being developed that allows vehicles to share their sensor data with one another such as vehicle to vehicle (V2V) and vehicle to everything (V2X) communications. I am working on methods that fuse sensor data from multiple vehicles to create a collaborative… Show more My research is focused on vehicular perception systems in a collaborative vehicle environment. Modern production vehicles have a variety of sensors that help them perceive the environment around them and wireless communication methods are being developed that allows vehicles to share their sensor data with one another such as vehicle to vehicle (V2V) and vehicle to everything (V2X) communications. I am working on methods that fuse sensor data from multiple vehicles to create a collaborative perception of the vehicle's environment. One specific problem I am focusing on is collaborative object detection; each vehicle can detect a set of objects using its own sensors but there must be a consensus for which objects were detected by multiple vehicles and which objects were not, so that every vehicle in the connected vehicle environment can be aware of the presence of all the objects. I leverage various machine learning and computer vision algorithms to create a novel framework that aims to solve this problem. Show less

I worked on the cognitive architectures for autonomous driving project. Over the course of this 12 week internship, I developed a vehicle trajectory prediction model that utilizes intra-object relationships in addition to kinematic data.

I tutored students of all ages in in subjects including mathematics, science, reading, and ACT/SAT prep. I also taught small classes in the subjects of robotics, coding, and engineering that included hands-on activities.

The main aspect of this internship was focused on learning how to use semiconductor yield analysis tools. I aided the software development team as the company transitioned from using dataPOWER to Galaxy Examinator Pro as their yield analysis software; I did extensive software testing and provided support to engineers relating to these software tools. I also tested, installed, and upgraded other software programs as well as monitoring the production servers. I got the opportunity to work on and… Show more The main aspect of this internship was focused on learning how to use semiconductor yield analysis tools. I aided the software development team as the company transitioned from using dataPOWER to Galaxy Examinator Pro as their yield analysis software; I did extensive software testing and provided support to engineers relating to these software tools. I also tested, installed, and upgraded other software programs as well as monitoring the production servers. I got the opportunity to work on and observe various projects with engineers in the company relating to semiconductor wafer analysis. Show less

The project I worked on consisted of writing MATLAB code for a computer simulation of a liver with iron-overload disorder. The focus of this project was improving the speed and efficiency of the code. I changed many of the main scripts of the code into functions; along with this I also changed many of the structure data types into matrices and heavily used user defined MATLAB functions into C using the MEX library. These changes helped to significantly speed up the simulation. I have also… Show more The project I worked on consisted of writing MATLAB code for a computer simulation of a liver with iron-overload disorder. The focus of this project was improving the speed and efficiency of the code. I changed many of the main scripts of the code into functions; along with this I also changed many of the structure data types into matrices and heavily used user defined MATLAB functions into C using the MEX library. These changes helped to significantly speed up the simulation. I have also altered the loop structure to reuse hard to generate random data and decrease the amount of data that must be sent over the network when run on distributed platforms such as USC’s High Powered Computing Cluster (HPCC). Other tasks included developing a new simulation file that supports non-instantaneous RF pulses to more realistically model how the scanner excites tissue and rewriting a sphere packing function that generates the simulated liver tissue to be faster and more efficient. Show less

I worked as a customer service representative at the International Residence College on the USC campus, which is a dormitory that houses mainly freshman. My work there consisted of providing customer service for the over 400 students in the building, helping residents with conflict resolution, and various types of data entry and manual tasks.