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숨김메뉴

연구분야

연구 그룹

AI System & IoT 

AI systems and IoT aim to develop the hardware and software infrastructure (e.g. CPUs, GPUs, OS, programming framework) that enables the development and deployment of AI applications, and integrate IoT devices and networks to generate vast amounts of data, which can be analyzed and interpreted by AI systems to extract valuable insights and automate processes.

AI Systems & IoT
교수 실험실 위치 연락처
서영주 AIoT Lab.( Artificial Intelligence of Things laboratory) 인공지능연구원 321호 054-279-5671
박은혁 Efficient Computing Lab RIST 4동 4304호 054-279-2912
전명재 Large-Scale System Platform (OMNIA) Lab To be updated To be updated

Natural Language Processing 

Natural Language Processing (NLP) aims to enable computers to understand, interpret, and generate human language. NLP involves the development and application of Large Language Models (LLMs) for various tasks such as machine translation, summarization, sentiment analysis, question answering, and chatbots.

Data Science
교수 실험실 위치 연락처
유환조 Data Intelligence (DI) Lab RIST4동 4307호 054-279-2941
한욱신 Data Systems(DS) Lab 제2공학관 202호 054-279-5582
이근배 Natural Language Processing(NLP)Lab 인공지능연구원 322~3호 054-279-5656
옥정슬 Machine Learning (ML) Lab RIST 4동 4309호 054-279-5653

Visual Computing 

Visual Computing aims to recognize, search, analyze, process, and represent images and videos. It covers a wide variety of subfields including Computer Graphics and Computer Vision. Computer Graphics aims to develop algorithms and techniques that can help create images and videos, and Computer Vision aims to develop algorithms for analyzing images and videos.

Visual Computing
교수 실험실 위치 연락처
이승용
조성현
Computer Graphics (CG) Lab 인공지능연구원 341호 054-279-5652
조민수
곽수하
Computer Vision (CV) Lab 제2공학관 302호 054-279-2931
김원화
류일우
Medical Imaging Lab RIST4동 4303호 054-279-2252
김광인 Machine Learning and Vision Group 제2공학관 327호 054-279-2253

 

Data Science 

Data Science aims to extract insights and knowledge from data, which drives decision-making and innovation in various fields. Data Science has critical importance in today's IT world, as the vast array of data types including images, languages, tables, matrices, graphs, and time-series pervades across industries and organizations, emanating from diverse sources.

Data Science
교수 실험실 위치 연락처
서영주 AIoT Lab.( Artificial Intelligence of Things laboratory) 인공지능연구원 321호 054-279-5671
유환조 Data Intelligence (DI) Lab RIST4동 4307호 054-279-2941
한욱신 Data Systems(DS) Lab 제2공학관 202호 054-279-5582
이근배 Natural Language Processing(NLP)Lab 인공지능연구원 322~3호 054-279-5656

 

Machine Learning

Machine Learning aims to teach computers to learn from data and improve their performance on specific tasks without being explicitly programmed. Serving as a cornerstone for many disciplines, Machine Learning has numerous applications in various fields, including computer vision, NLP, recommendation systems, and healthcare.

Machine Learning
교수 실험실 위치 연락처

안성수
박상돈

옥정슬
김동우

Machine Learning (ML) Lab RIST 4동 4309호 054-279-5653
조민수
곽수하
Computer Vision (CV) Lab 제2공학관 302호 054-279-2931
김원화
류일우
Medical Imaging and Visin(MIV)Lab RIST 4동 4303호 054-279-2252
박은혁 Computing Systems(Sys)Lab RIST 4동 4304호 054-279-2912
유환조 Data Intelligence (DI) Lab RIST 4동 4307호 054-279-2941
김광인 Machine Learning and Vision Group 제2공학관 327호 054-279-2253
이남훈 Computational Optimization (CO) Lab RIST 4동 4427호 054-279-5645

 

AI Theory

AI Theory aims to delve into the foundational principles of computation, examining the underlying algorithms, machine learning techniques, and computational complexities that shape the field of AI and Computer Science. It provides a theoretical framework for understanding the limitations and capabilities of AI and Computer Science.

AI Theory
교수 실험실 위치 연락처
안희갑 Algorithms (ALGO) Lab 제2공학관 208호 054-279-1478

옥정슬
김동우

박상돈

Machine Learning (ML) Lab RIST 4동 4309호 054-279-5653
이남훈 Computational Optimization (CO) Lab RIST 4동 4427호 054-279-5645