IDEA LaB - GNU

Welcome to IDEA Lab @ GNU (지능형 데이터 공학 및 응용 연구실 - 경상국립대학교 컴퓨터공학부)

Since we opened the lab in January 2022, we have been actively conducting research in computer vision, natural language processing, recommendation systems, data engineering, and autonomous driving & robotics. Our research is highly interdisciplinary, spanning domains such as healthcare, industrial manufacturing, and smart mobility.

We are looking for qualified domestic (local)/international students and researchers (post-doc.) in the area of computer science. If you are interested in joining us, please don't hesitate to contact Prof. Gun-Woo Kim (Please send your Curriculum Vitae (CV) with GPA; For international students, please attach your research proposal as an attachment.).

학부연구생의 경우 지원 양식(붙임)을 작성하여 메일로 송부해 주십시오. [붙임] (gunwoo.kim@gnu.ac.kr)

연구실 관련하여 문의 사항이 있으면 지원 전 언제든지 메일로 연락주시길 바랍니다.

Computer Vision & Multimodal Learning 

1. • Lightweight object detection for edge devices

   • Deepfake detection exploiting frequency and attention fusion

   • Image super-resolution and restoration

   • Multimodal data fusion (image-text, ECG/PPG, skin lesion)

Natural Language Processing & Large Language Model Applications

1. • Medical named entity recognition and relation extraction

   • Hallucination detection and factual verification in LLMs

   • Explainable AI and question answering with LLMs

   • Text generation and summarization

Autonomous Driving & Robotics

1. • LiDAR-based perception and moving object segmentation

   • Autonomous racing and path planning optimization

   • Vision-Language-Action (VLA) models for robotic manipulation

Recommendation Systems & Data Mining

1. • Sequential and session-based recommendation

   • Conversational recommender systems with LLMs

   • Graph-based and sentiment-based recommendation

   • User preference extraction and side information modeling

Healthcare & Data Engineering 

1. • Clinical severity prediction and ensemble learning

   • Health document analysis and ontology construction

   • Tabular data optimization with AutoML

   • Crime and public safety prediction