
PhD Candidate
Vehicle Autonomy and Intelligence Lab @ UNT
From perception to drive-by-wire.
Translating complex theory into real-world application.
Designing robust, scalable autonomous solutions.
Advancing the frontier of 3D mapping and navigation.
Driving innovation through cross-functional collaboration.

A federated 3D Gaussian Splatting framework for decentralized multi-agent 3D reconstruction
A Holistic Approach for Collaborative Exploration
Speed and Steering Controller for an autonomous cart
Developed a novel motion planning optimization technique that increased computational efficiency, enabling real-time trajectory execution on resource-constrained embedded platforms.

The Challenge of "Sensory Confusion"
Simulated Kinovarobotics manipulator in Gazebo and Controlled in ROS
Yazd University (2012 - 2016)
Amirkabir University of Technology (AUT) (2016 - 2019) - Distinguished Graduate Award (Ranked 3rd of Class)
University of North Texas (UNT) Texas, USA (2022 - 2026)

Design, simulate, build robotic systems

Perception, Planning and Control for self-driving cars

Electronic circuits, Embedded systems, SCBs, etc.