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Department of Artificial Intelligence

Laboratory

인공지능학과 연구실 · 실험실
Laboratories & Research Labs
Korean English Website / Introduction
로보틱스 및 컴퓨터비전 연구실
(정지영 교수)
Robotics and Computer Vision Lab website
Researching various computer vision algorithms and sensor systems related to visual intelligence in AI systems such as mobile robots and autonomous vehicles.
기계지능 연구실
(노영민 교수)
Machine Intelligence Lab website

Conducting research on the following topics related to deep learning-based image and video processing

  • - Deep Metric Learning
  • - Continual Learning
  • - Image Classification Super Resolution Semantic Segmentation
  • - Person Re-identification
  • - Anomaly Detection Deepfake Detection Generative Model
의료빅데이터 연구실
(김정연 교수)
MEDICAL BIG DATA LAB website
Algorithm development for effective multiple testing in latent Markov random field models, research using medical big data such as Health Insurance Review and Assessment Service data or university hospital electronic medical records (EMRs), and MCMC algorithm development research
자연어 처리 및 법률인공지능 연구실
(황원석 교수)
NLP & Legal Intelligence & AI4Science Lab website

Conducting deep learning-based natural language processing and natural language processing application research, specifically on the following topics

  • - Large-scale legal language model research
  • - Semantic parsing of legal texts
  • - End-to-end information extraction from semi-structured documents using generative models
  • - Document intelligence for industrial documents
  • - Legal abductive reasoning AI research
  • - Controllable generation model research
  • - Non-autoregressive decoding research
계산 지능 및 데이터 분석 연구실
(고상기 교수)
Computational Intelligence & Data Analytics (CIDA) Laboratory website

Currently conducting research on the following topics

  • - Explainable AI and deep learning model verification based on computational theory
  • - Efficient computational algorithm exploration and program generation using reinforcement learning
  • - Neuro-symbolic AI research for logical reasoning and computation
  • - Applying the latest AI models to enhance sports (football) data analysis
온디바이스 인공지능 연구실
(백형부교수)
On-Device Artificial Intelligence Lab website
This lab researches and develops on-device AI technologies that process and analyze data directly on the device, unlike cloud-based AI, focusing on model lightweighting, data privacy, and real-time responsiveness. Developing intelligent service robots and autonomous drones using an agent-based intelligent integration framework, and conducting research on AI system reliability
인공지능 연구실
(이재호 교수)
Intelligent Robotic Systems Lab website
Developing intelligent service robots and autonomous drones using an agent-based intelligent integration framework, and conducting research on AI system reliability
지능형 소프트웨어 공학 연구실
(이병정 교수)
Intelligent Software Engineering Lab website
Aims to produce high-quality intelligent software using engineering principles, within planned budgets and timelines. This lab researches intelligent software testing, automatic bug correction, and related techniques, including program automatic generation
음성정보처리 연구실
(유하진 교수)
Speech information processing lab website
Conducts research on speech-related technologies such as speech recognition, speaker recognition, speech synthesis, and distinguishing between human voices and those manipulated by recorders or synthesizers, as well as recognizing environmental sounds and natural language processing.
데이터 마이닝 연구실
(김한준 교수)
Data Mining Lab website
Utilizes AI and machine learning (deep learning) technologies to improve big data quality and extract meaningful patterns and models, applying them to intelligent prediction/recognition/classification/recommendation services.
지능정보시스템 연구실
(황혜수 교수)
Intelligent Information System Lab website
Focuses on large-scale data analysis (graph data deep learning, recommendation engines, etc.), developing algorithms to enhance knowledge extraction, sentiment analysis, and future prediction accuracy and speed.
지능형빅데이터 연구실
(최호식 교수)
Intelligent Big Data LAB website
Conducts research on statistical, machine learning, and deep learning methods for analyzing big data such as text, images, and speech.