1. Adaptive Query Reformulation with Large Language Models for Enhanced Information Retrieval.
Target: ICAIIC 2025
Status: Shelved
2. Current Research: Experiments to replace some legacy RAN functions with intelligent variants in O-RAN deployments
Target: Journal (Currently undecided)
Status: Experimental design
1. Complete Chapters 5-10 of Machine Learning with Python (Theory and Implementation)
2. Begin a literature review for midterm research focus.
1. Complete design of intelligent O-RAN experiments
2. Complete literature review on AI in today’s RAN
Digital Bridge: Build 3D model of the Chopyeongho Mir 309 swing bridge
1. Learn how to use the join operation to merge parts and preserve their material
1. Increase fidelity of 3D model
1. Improve fidelity of the 3D model of the Chopyeongho Mir 309 swing bridge
2. Finish "Adaptive Query Reformulation with Large Language Models for Enhanced Information Retrieval" paper✅
3. Complete the text: Machine Learning with Python (Theory and Implementation)
4. Complete a comprehensive survey of academic literature in the area of midterm research focus.
1. To submit at least 1 NSL-approved Domestic conference
2. To submit at least 1 NSL-approved International Conference
3. To submit at least 1 International journal