

Unsteady Flow Lab Undergraduate Researcher
I joined the Unsteady Flow Laboratory at Lehigh University during my first year. For the past three years, I have worked on various projects both in aerodynamics and hydrodynamic flow interactions. My first research project was to work on the design and testing of an autorotating vehicle, under the supervision of Prof. Keith Moored. My research was focused on optimizing the thrust/drag of the vehicle through various closed-return and vertical wind tunnel testing. I worked on the design of the experimental apparatus, data acquisition setup, and LabView interface of our experiments. Additionally, I also worked on autonomous flight/control algorithms, implementation, and development of Ground Control Software (GCS) of the system. Due to proprietary information of the partnering company, I can not share visual designs or test results.
Fish Schools Hydrodynamic Interactions
My second research project was part of the Multi-disciplinary University Research Initiatives (MURI) award with collaborators from Princeton University, Harvard University, and the University of Virginia to investigate the hydrodynamics behind high-speed, high-efficiency, and bio-robotic schooling. I helped our research team with designing our experimental apparatus and data acquisition architecture. I helped to redesign tunabots (robotic tuna fish) to enable remote operation and synchronization between two robotic fish. The current experimental setup enables us to investigate the energetics and efficiency of side-by-side arrangements as well as staggered arrangements. I was nominated by the Department of Mechanical Engineering & Mechanics to participate in the David & Lorraine Freed Undergraduate Symposium in spring 2022. Please take a look at my poster below for more technical details of this research project.

Undergraduate Research Symposium Poster


Mountaintop Summer Research Program
As a research fellow of the Autonomous Driving for Underwater Drones project, I worked on the hardware and software requirements of changing a heavy class Remotely Operated Vehicle (ROV) to an Autonomous Underwater Vehicle (AUV). By utilizing MAV link protocol and ArduSub, we have been able to develop various control and computer vision algorithms for object detection and collision avoidance. We have also conducted various simulations of our code using Qgroundcontrol and BlueSim environment in addition to on-site validation & and testing. Please take a look at the research poster below.
Mountaintop Summer Research Poster
