News

Aug. 2026

Wrapping up my contract role as Dispatch Engineer at Bayro LLC and opening up my search for new opportunities in robotics motion planning, decision-making, and autonomy.

Jun. 14, 2026

A new milestone achieved: 100 citations on Google Scholar.

Jun. 14, 2026
May 14, 2026

Officially graduated with PhD. degree in Computer Science at George Mason University.

May 14, 2026
Apr. 29, 2026

Awarded the Outstanding Academic Achievement Award for excellence in study and research from George Mason University.

Apr. 27, 2026

Our paper "Multi-Agent Pathfinding under Team-Connected Communication Constraint via Adaptive Path Expansion and Dynamic Leading" is officially published on JAIR. The link of the publication is here.

Apr. 20, 2026

Successfully defended my Ph.D. and earned a Doctor of Philosophy in Computer Science, George Mason University.

Dec. 16, 2025

Great news from JAIR. Our paper "Multi-Agent Pathfinding under Team-Connected Communication Constraint via Adaptive Path Expansion and Dynamic Leading" is accepted and will be published soon. The link to the unpublished version of the paper is here link.

Nov. 20, 2025

Successfully defended my Dissertation Pre-Defense with title "Scalable Motion Planning and Decision-making for Heterogeneous Robot Teams Under Uncertainty".

Aug. 20, 2025

Started a part-time job as an administrator of CPH servers for College of Public Health, George Mason University.

Nov. 2024

I successfully defended my dissertation proposal on "Multi-Robot Motion Planning under Uncertainty and Limited Communication".

Jun. 2024

Our paper on "Learning-informed Long-Horizon Navigation under Uncertainty for Vehicles with Dynamics" is accepted at IROS 2024, Abu Dhabi, UAE link.

Apr. 2024

Our paper “Multi-Robot Guided Sampling-Based Motion Planning with Dynamics in Partially Mapped Environments” is published at IEEEAccess 2024 link.

Jun. 2023

Our paper “Guided Sampling-Based Motion Planning with Dynamics in Unknown Environments” is published at CASE 2023 link.

Oct. 2022

Our paper “Improving the Efficiency of Sampling-Based Motion Planners via Runtime Predictions for Motion Planning Problems with Dynamics” is published at IROS 2022 link.