Giaolong Nguyen
Papers
2
Total Citations
12
H-Index
2
About
Dr. Giaolong Nguyen is an emerging researcher in the field of wireless power transfer and Internet of Things (IoT) systems, with a focus on optimizing energy delivery through intelligent robotics. His primary research areas include deep reinforcement learning, path planning for mobile robots, and far-field radio-frequency (RF) energy harvesting. Dr. Nguyen’s most notable contributions involve developing novel algorithms to solve optimization challenges in wireless power transfer systems. His highly cited 2022 paper, "Optimal Path Planning for Wireless Power Transfer Robot Using Area Division Deep Reinforcement Learning" (9 citations), introduces a groundbreaking approach where a mobile robot equipped with an RF transmitter patrols IoT devices to maximize charging efficiency. In his related work, "Optimize Mobile Wireless Power Transfer by Finite State Machine Reinforcement Learning" (3 citations), he further refines these techniques using finite state machine models. These studies demonstrate his ability to merge reinforcement learning with real-world robotics applications, offering scalable solutions for powering next-generation IoT networks. While early in his career, Dr. Nguyen’s work is already shaping how autonomous systems can sustainably energize distributed devices.
Research Focus
Key Achievements
Top Papers
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- 2