cv

AI Researcher

Skyline Nav AI

Experimented with various state of the art vision based localization methods for UAVs in GPS denied environments

Graduate Student

UMD GAMMA Lab

AI Engineer

Naval Air Warfare Center, Patuxent River, MD

Various positions covering Test and Evaluation (T&E) of flight systems, Statistical trade studies using DoD Simulations, and Various Science and Technology (S&T) Projects

• AI Researcher, Autonomy and AI Applications Division
• Operations Research Analyst, Mission Engineering and Analysis Division
• Flight Test Engineer: JSF Program

PC (provider in charge)

Emergency Medical Technitian

Volunteered at a local EMS station during my time at Lexington Park

• EMT-B certification

B.S.

Virginia Polytechnic Institute and State University

Engineerng Science and Mechanics

M.S.

Georgia Institute of Technology

Computer Science

PhD

University of Maryland

Computer Science

HALO: Human Preference Aligned Offline Reward Learning for Robot Navigation

Conference on Robot Learning (CoRL), Seoul, Korea

We used offline reinforcement learning to learn human intuition in navigation. This learned reward function was used to guide robot navigation.

SAFE-SMART: Safety Analysis and Formal Evaluation using STL Metrics for Autonomous RoboTs.

under review

Our first work incorporating Signal Temporal Logic (STL) specifications into training mobile robots to provide better compliance with safety rules.

AI Training Framework for a Medium Fidelity Environment.

Naval Applications of Machine Learning (NAML), San Diego, CA

(Link unavailable) We developed a machine learning plugin to communicate with agents inside a DoD simulation. Using this plugin, we were able to train competing machine learning agents in the simulation environment

Capillary spreading of contact line over a sinking sphere

Applied Physics Letters

We explored contact line dynamics over a sinking solid sphere.