연구
연구분야
AI Systems & 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.
| 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 |
| 한욱신 | Data Systems(DS) Lab | 제2공학관 202호 | 054-279-5582 |
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.
| 교수 | 실험실 | 위치 | 연락처 |
|---|---|---|---|
| 곽수하 조민수 |
Computer Vision (CV) Lab | 제2공학관 302호 | 054-279-2931 |
| 김광인 | Machine Learning and Vision Group | 제2공학관 327호 | 054-279-2253 |
| 김동우 박상돈 옥정슬 |
Machine Learning (ML) Lab | RIST 4동 4309호 | 054-279-5653 |
| 유환조 | Data Intelligence (DI) Lab | RIST4동 4307호 | 054-279-2941 |
| 이근배 | Natural Language Processing(NLP)Lab | 인공지능연구원 322~3호 | 054-279-5656 |
| 한욱신 | Data Systems(DS) Lab | 제2공학관 202호 | 054-279-5582 |
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.
| 교수 | 실험실 | 위치 | 연락처 |
|---|---|---|---|
| 곽수하 조민수 |
Computer Vision (CV) Lab | 제2공학관 302호 | 054-279-2931 |
| 김광인 | Machine Learning and Vision Group | 제2공학관 327호 | 054-279-2253 |
| 김원화 류일우 |
Medical Information Processing (MIP) Lab | RIST4동 4303호 | 054-279-2252 |
| 이승용 조성현 |
Computer Graphics (CG) Lab | 인공지능연구원 341호 | 054-279-5652 |
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.
| 교수 | 실험실 | 위치 | 연락처 |
|---|---|---|---|
| 김광인 | Machine Learning and Vision Group | 제2공학관 327호 | 054-279-2253 |
| 김동우 | Machine Learning (ML) Lab | RIST 4동 4309호 | 054-279-5653 |
| 김원화 류일우 |
Medical Information Processing (MIP) Lab | RIST 4동 4303호 | 054-279-2252 |
| 안희갑 | Algorithms (ALGO) Lab | 제2공학관 208호 | 054-279-1478 |
| 유환조 | Data Intelligence (DI) Lab | RIST4동 4307호 | 054-279-2941 |
| 이근배 | Natural Language Processing(NLP)Lab | 인공지능연구원 322~3호 | 054-279-5656 |
| 이남훈 | Computational Optimization (CO) Lab | RIST 4동 4427호 | 054-279-5645 |
| 전명재 | Large-Scale System Platform (OMNIA) Lab | To be updated | To be updated |
| 한욱신 | Data Systems(DS) Lab | 제2공학관 202호 | 054-279-5582 |
| 황형주 | Applied Mathematics and Mining (AM²) LAB | 수리과학관 1층 수리기계학습연구센터 | To be updated |
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.
| 교수 | 실험실 | 위치 | 연락처 |
|---|---|---|---|
| 김동우 박상돈 안성수 옥정슬 |
Machine Learning (ML) Lab | RIST 4동 4309호 | 054-279-5653 |
| 곽수하 조민수 |
Computer Vision (CV) Lab | 제2공학관 302호 | 054-279-2931 |
| 김광인 | Machine Learning and Vision Group | 제2공학관 327호 | 054-279-2253 |
| 김원화 류일우 |
Medical Information Processing (MIP) Lab | RIST 4동 4303호 | 054-279-2252 |
| 박은혁 | Computing Systems(Sys)Lab | RIST 4동 4304호 | 054-279-2912 |
| 안희갑 | Algorithms (ALGO) Lab | 제2공학관 208호 | 054-279-1478 |
| 유환조 | Data Intelligence (DI) Lab | RIST 4동 4307호 | 054-279-2941 |
| 이남훈 | Computational Optimization (CO) Lab | RIST 4동 4427호 | 054-279-5645 |
| 전명재 | Large-Scale System Platform (OMNIA) Lab | To be updated | To be updated |
| 황형주 | Applied Mathematics and Mining (AM²) LAB | 수리과학관 1층 수리기계학습연구센터 | To be updated |
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.
| 교수 | 실험실 | 위치 | 연락처 |
|---|---|---|---|
| 김동우 박상돈 옥정슬 |
Machine Learning (ML) Lab | RIST 4동 4309호 | 054-279-5653 |
| 안희갑 | Algorithms (ALGO) Lab | 제2공학관 208호 | 054-279-1478 |
| 이남훈 | Computational Optimization (CO) Lab | RIST 4동 4427호 | 054-279-5645 |
| 황형주 | Applied Mathematics and Mining (AM²) LAB | 수리과학관 1층 수리기계학습연구센터 | To be updated |