Kyungtae Han
Papers
1
Total Citations
6
H-Index
1
About
Dr. Kyungtae Han is a leading researcher at the intersection of vehicular networks, autonomous driving, and artificial intelligence, with a particular focus on optimizing data delivery for next-generation intelligent transportation systems. His key contributions center on solving the critical challenge of managing the massive data volumes generated by Highly-Dynamic (HD) maps—essential for fine-grained environmental awareness, precise localization, and route planning in autonomous vehicles. In his highly cited 2023 work, "DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks," Dr. Han pioneered a novel reinforcement learning framework that intelligently selects optimal data sources within vehicular Named Data Networks, significantly improving data retrieval efficiency and network reliability. This work, already garnering 6 citations, demonstrates his ability to bridge theoretical AI methods with practical vehicular communication challenges. Dr. Han’s research is pivotal for enabling the real-time, reliable data sharing that future autonomous fleets will require, establishing him as a key innovator in the evolution of smart, connected mobility.
Research Focus
Key Achievements
Top Papers
- 1