[Date]:2026/10/16～2026/10/18

（Up coming）Development of an AI and Statistical Based Hybrid Early Warning System for Slope Failures Using Field Monitoring Data｜2026a026

Overview

• How to hold:  Hybrid（In-person/Zoom)
• Venue:  IMI Auditorium (W1-D-413), West Zone 1, Ito campus, Kyushu University
• Main language: Japanese
• Type/Category: Grant for General Research-Workshop（Ⅰ）
• Title of Research Project: Development of an AI and Statistical Based Hybrid Early Warning System for Slope Failures Using Field Monitoring Data
• Principal Investigator: Hemanta Hazarika（Department of Civil Engineering, Graduate School of Engineering, Kyushu University/Professor）
• Research Period: June 26, 2026. – June 27, 2026.
• Open to the Public: June 26, 2026. – June 27, 2026.
• Details of the Research Plan: https://joint2.imi.kyushu-u.ac.jp/en_research_chooses/view/2026a026/en

Program

June 26, 2026.

TBA

TBA

Registration

Advance registration is required. 
Free participation fee.
(Registration also requires Organizing Committee members and speakers.)
Registration may be closed when the number of participants reaches the maximum.

＼Please go to the following link for registration.／