EIS Lab at the 2026 Spring Joint Conference
conference
research
EIS Lab members presented their research at the 2026 Spring Joint Conference in Gyeongju.
EIS Lab members Hayat Hassanpour, Jostin Jerico Rosal, and Raksmey Pahn participated in the 2026 Spring Joint Conference held on June 4–5, 2026, at the Gyeongju Hwabaek International Convention Center (HICO) in Gyeongju, Korea.
The conference, jointly organized by the Korean Society of Management Science, the Korean Institute of Industrial Engineers, and the Korea Society for Simulation, was held under the theme “Decision Making and Optimization in the AI Era: Convergence, Expansion, and New Challenges.”
The following research was presented by EIS Lab members:
- Dynamic Graph Representation Learning for Link Prediction and Node Classification in DeFi Networks — Hayat Hassanpour
- Adaptive Physics-Gated Network for SOH Estimation from Partial Charging EIS Data of Lithium-Ion Batteries — Phann Raksmey
- Transparent Agentic Framework for Natural Language Explanations in Smart Manufacturing — Jostin Jerico Rosal