Latest news

Dr. KONG Vungsovanreach and collaborators published "MulFD-Net: Per-Scale Multi-Layer Feature Decomposition for Transparent and Reflective Object Segmentation" in IEEE Access (SCIE), proposing a network that decomposes features into multiple layers at each scale to segment transparent and reflective objects.

We warmly welcome Mr. THON Sopheap to AI Convergence Lab. Mr. Thon is pursuing his Master's degree in Big Data Engineering at Chungbuk National University and will be contributing to research in Big Data Engineering, MLOps, and Cloud Infrastructure.

Mr. CHAN Sokheang and collaborators published "ASG-LLM: An LLM-based pipeline for automated scraping code generation in security-sensitive environments" in Array (SCOPUS), introducing an LLM-driven pipeline that generates scraping code for environments where security constraints matter.

Ms. CHIV Kimchhor published "A comprehensive survey of quantum computing approaches for portfolio optimization in FinTech" in ICT Express (SCIE), surveying how quantum computing methods are being applied to portfolio optimization in FinTech.

Mr. CHAN Sokheang and collaborators published "MRS-Agent: A map-reduce framework for quantifiable schema grounding in Text-to-SQL" in ICT Express (SCIE), presenting the schema grounding framework behind our BIRD benchmark submission.

Our submission MRS-Agent reached rank #21 on the BIRD benchmark leaderboard, a large-scale, cross-domain Text-to-SQL evaluation, achieving 75.13% execution accuracy on the test set and 77.10% on the dev set.

We warmly welcome Dr. SOENG Saravit as a Researcher at AI Convergence Lab. Dr. Soeng recently completed his PhD in Big Data at Chungbuk National University and will be contributing to research in Computer Vision, LLM, and Vision-Language Models.

Prof. KIM Tae-Kyung and collaborators published "Are you hallucinated? Insights into large language models" in ICT Express (SCIE), contributing to LLM reliability and hallucination research.

Dr. KONG Vungsovanreach successfully received his Doctoral degree in Big Data from Chungbuk National University. Congratulations, Dr. KONG!

Ms. CHIV Kimchhor published "Strategies for Noise-Resilient Quantum Approximate Optimization Algorithms: A Review and Classification of Error Mitigation" in IEEE Access journal.

AICLab members presented "The Role of Continuous Integration and Continuous Deployment in Modern DevOps Practices" at the 17th International Conference on Frontiers of Information Technology, Applications and Tools (FITAT 2025).

Our team went on a day trip of hiking at the Goesan trial to build our stamina, train our mind and bodies, and reenvision our dream and commitment towardds excellence.

AICLab met with Head of Cambodian Delegates from MPTC to re-emphasize our partnership and collaboration between CBNU-MPTC and Korea-Cambodia towards AI-driven digital transformation in Cambodia.

Our team went on our first trip together to Mungyeong to collectively and collaboratively set our goals, enjoy the food and nature, and refocus before the starting of the Fall semester at CBNU.

Successfully published "PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos" in PLOS ONE journal

AICLab officially launched at Chungbuk National University with a mission to pursue applied AI and computer vision research