CS / Computing Systems
Computing Systems aims to develop and operate various optimal computer systems with consideration of performance, cost, and reliability, from the device level to a large scale computing environment. It is a fundamental field that props up the computer-based IT industry. At the core of its importance lies in-depth knowledge in theory and practice of hardware and software in a large scope.
|김광선||Parallel System Architecture (PSA) Lab||RIST 4동 4304호||054-279-2912|
|성효진||Compiler Design and Optimization (CODE) Lab||RIST 4동 4304호||054-279-2912|
|박은혁||Efficient Computing (Eco) Lab||RIST 4동 4304호||054-279-2912|
|박지성||Computer Architecture and Operating Systems (CAOS) Lab||RIST 4동 4304호||054-279-2912|
|김종||High Performance Computing (HPC) Lab||인공지능연구원 441호||054-279-2915|
|박찬익||System Software (SS) Lab||인공지능연구원 423호||054-279-5668|
NS / Network Systems
Network Systems is an essential field in the modern computer industry in which information is disseminated by many connected computers. Not only that, its increasing role as an infrastructure that supports various fields including BT and NT is ever more important.
|홍원기||Distributed Processing & Network Management (DPNM) Lab||인공지능연구원 422호||054-279-5641|
|송황준||Media Computing & Networking (MCN) Lab||제4공학관 106호||054-279-5684|
|서영주||Artificial Intelligence of Things (AIoT) Lab||인공지능연구원 321호||054-279-5671|
|황인석||Human-centered Intelligent Systems (HIS) Lab||제4공학관 125호||054-279-2946|
SC / Computer Security
Computing Security aims to develop techniques for protecting computer systems and networks from the theft or damage to the software and hardware. Its importance is rapidly growing as reliance on computer systems is increasing. The department at POSTECH covers systems security, software security, mobile security, and IoT security.
HCI·NLP / Human-Computer Interaction · Natural Language Processing
HCI studies everything related to two-way communication between users and computers, based on the fact that it is human beings who use computers. It is one of the most exemplary interdisciplinary fields combining computer engineering-based technology with humanitarian studies, which has its basis in psychology, sociology, etc.
SP / Software Engineering & Programming Languages
Software Engineering & Programming Languages aims to develop programming languages and software that provide theoretical backgrounds and facilitate communication between the computer and human beings, which are indispensable to computing theory, logic, language theory within the computing environment.
VC / 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.
DS / Data Science
Data Science aims to recognize, search, analyze, process, and represent data and deliver them effectively to users. Data science has critical importance in today’s IT world where a massive amount of data is generated from a wide variety of sources in many different ways.
ML / Machine Learning
Machine Learning aims to develop algorithms that improve automatically through experience. It is a rapidly growing field, which has numerous applications, due to the availability of large datasets and the growth of computing power. The department at POSTECH focuses on both theoretical and practical aspects of machine learning.
|Machine Learning (ML) Lab||RIST4동 4309호||054-279-5653|
|Computer Vision (CV) Lab||제2공학관 302호||054-279-2931|
|김원화||Medical Imaging and Vision (MIV) Lab||RIST4동 4303호||054-279-2252|
|박은혁||Efficient Computing (Eco) Lab||RIST4동 4304호||054-279-2912|
|유환조||Data Intelligence (DI) Lab||RIST4동 4307호||054-279-2941|
TC / Theory of Computing
Theory of Computation aims to understand the nature of computation and analyze fundamental computational problems arising in other fields in Computer Science using mathematical tools. It covers a wide variety of topics including algorithms, data structures, and computational complexity.