Publications

Optimal Guidance for Ship Landing Using Monocular Vision
Small unmanned aircraft systems often rely on monocular cameras. Utilizing structure from motion (SfM) techniques monocular vision …
DOI
Optimal Guidance for Ship Landing Using Monocular Vision
Monocular Vision-Based Navigation for UAVs in Dynamic Environments
Unmanned aerial vehicles flying in GPS-denied environments often utilize widely-available monocular cameras to aid in guidance, …
DOI Slides
Monocular Vision-Based Navigation for UAVs in Dynamic Environments
Vision-Based Localization and Autonomous Homing for UAVs
DOI
Vision-Based Localization and Autonomous Homing for UAVs
Homing Guidance for UAVs Using Monocular Vision-Based SLAM
DOI
Homing Guidance for UAVs Using Monocular Vision-Based SLAM
Passive Non-Cooperative Intruder State Estimation and Optimal-Feedback Avoidance System for UAVs
DOI
Passive Non-Cooperative Intruder State Estimation and Optimal-Feedback Avoidance System for UAVs
Optimal Waypoint Guidance for Collision Scenarios
As unmanned aerial vehicles (UAVs) grow in popularity for industrial, military, and civilian applications, the need for such aircraft …
DOI PDF Overview
Optimal Waypoint Guidance for Collision Scenarios
Optimal Intruder Collision Avoidance for UAVs via Waypoint Tracking
PDF Overview
Optimal Intruder Collision Avoidance for UAVs via Waypoint Tracking
Network Topology Identification using Supervised Pattern Recognition Neural Networks
I worked on this project from spring 2020 to fall 2020 with Ahmet Taha Koru, a post-doctoral research student in the PURL lab at Penn State.
DOI
Network Topology Identification using Supervised Pattern Recognition Neural Networks
Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems
I worked on this project in summer 2019, while I was an intern under Dr. Mohammed Olama at Oak Ridge National Laboratory in Oak Ridge, TN.
DOI
Machine Learning-based Approach to Predict the Aggregate Flexibility of HVAC Systems