Network Latency Modeling

Ms. Kang Xingyuan, and Mr. Papon Choonhaklai each presented thier individual research in the Poster session at CENTRA 2026 in Bangkok, Thailand (CENTRA 9). First, Ms. Kang Xingyuan presented her research titled “Exploring the Potential of Reinforcement Learning for Dynamic SDN Controller Placement” to the audience. The details of her study are as follows: Kang Xingyuan, Keichi Takahashi, Chawanat Nakasan, Kohei Ichikawa, Hajimu Iida, “Exploring the Potential of Reinforcement Learning for Dynamic SDN Controller Placement”, CENTRA 2026, January 11–13, 2026.

Ms. Kang Xingyuan, and Mr. Papon Choonhaklai each presented thier individual research in the Technical Paper session at PRAGMA 2026 in Bangkok, Thailand (PRAGMA 41). The conference consisted of two parts: Student Hackathon and Presentation. In the Student Hackathon, participants were divided into topic-based groups and given one day to complete their projects, all centered on AI applications. For instance, my group developed an AI-based system to generate personalized escape routes in emergency situations and used the GRAMA simulator to model the agents’ learning process.