Information Coding and Processing Lab.
Information coding and processing group carries out research in the fields of next generation video coding and system. The key technology enables the timely delivery of high fidelity videos in the future smart media applications. Our research interests include data compression applied to image, video and 3D-video (multi-view, depth, hologram) signals, advanced machine learning of signals, sparse signal processing, and information security. The works has contributed to recent international standards in video coding such as H.265/HEVC and 3D video coding with a number of patents and proposals. We also seek for research opportunities in emerging interdisciplinary fields such as in bio-medical, connected vehicles, and cyber systems using signal processing and algorithms.
Wireless Information Networking Lab.
We design communication algorithms for the ubiquitous society. As smart phones have already become the icon of contemporary culture, we dream of a new paradigm in which our lives are enhanced by numerous “intelligent objects.” We pursue research in information and communication theoretic fields, such as multi-terminal communication theory, cognitive radio, core technologies for LTE and B4G systems, communications security, and sensor networks. To cultivate new possibilities in convergence technology, we also cooperate with specialists in meteorology to design a large-scale wireless sensor and actuator networks, namely, a Meteorological Observations Ad Hoc Networks (MOANET).
Digital Signal Processing Lab.
In DSP (Digital Signal Processing Lab.), we study acquisition and processing of multimedia signals such as 3D videos, 3D images acquired by 3D scanners, 3D medical images including CT and MRI, Audio/Video signals, etc. We focus on statistical signal processing methods for acquiring and enhancing such multimedia signals. Current projects include 3D image acquisition methods for 3D scanners, contrast enhancement methods for CMOS image sensors, image restoration methods for 3D microscopy, etc.
Wireless Multimedia Communication Lab.
In WiMC (wireless multimedia communication) Laboratory, the research issues crucial for realizing wireless multimedia services under the upcoming, highly knowledge-based, information society of ubiquitous wire/wireless integrated network environments will be undertaken to achieve the breakthroughs in the area of wireless multimedia communications. The detailed research areas include cognitive networking, cognitive radio platform technology, QoS control strategy under the convergent cognitive networks, and radio resource management. In summary, the wireless digital communication techniques and the convergent network technologies which could enable mobile users to enjoy various services anytime and anywhere will be explored in WiMC Laboratory.
Digital System Architecture Lab.
Digital System Architecture Laboratory is focusing on the design of SoC for various applications such as wearable device, biomedical system, and communication system.
in detail, computer architecture, SoC design/verification methodology, and digital signal processing with its corresponding algorithmic transformation for VLSI design are our major research topic.
Analog Circuits & Systems Lab.
Current researches conducted at the Analog Circuits and Systems Lab (abb. ACSL) focus on integrated circuit (IC) designs for the applications of ultra high-speed wired/wireless communications and Bio/Environmental applications. 1) optics-based 100-Gigabit Ethernet(GbE) interface chip designs, 2) Silicon photonics TRX chip designs via international cooperation, 3) Read-out ICs of LADAR systems for unmanned vehicles, 4) next-generation ultra low-power wired/wireless communication chips, 5) Gigabit TRX chips for HD Video transport, 6) Pollution detection systems for water/air quality improvement, 7) Medical NIRS chip designs.
Multiagent Communications and Networking Lab.
In Multiagent Communications and Networking Laboratory (MCNL), our research has focused on machine learning based distributed decision making strategies for multi-agent network systems, intelligent and automatic resource management strategies for 5G network systems, efficient and robust data streaming strategies using network coding, big data analytics for Internet of Things (IoT) and data stream mining systems based on machine learning, fairness and optimality paradigms for resource management.
Semiconductor Device Lab.
The main goal of Semiconductor Device Laboratory is the research and development of core technology for the next-generation semiconductor devices. Especially, analysis of the electrical characteristics of next-generation MOS devices, improvement of device reliability, and a systematic study on the device and process modeling are performed.
Image Processing Lab.
The main research fields of the IPL are image processing for image quality enhancement and computer vision for 3D information extraction from 2D images. Previous works include video compression, image synthesis from virtual viewpoints, and analysis of registration error of 3D objects. Current research topics are image denoising, overexposure compensation, color signal processing, and fluorescent microscopy image processing and analysis.
Network Algorithm and Architecture Lab.
Our research is focused on computer networking technology such as the Internet. Routers forward packets from one node to another to make computing devices connected to computer networks communicate with each other. Some of the critical functions belonging to routers should be implemented using integrated circuit (IC) technology to meet the high-speed performance requirement. In SoC Design Laboratory, graduate students perform researches on algorithms and hardware architectures required in designing packet forwarding engines for realizing next-generation networking technologies such as content-centric networking (CCN) and software-defined networking (SDN).
Neuro-Electronics Engineering Lab.
Our research is focused on the development of neural interface connecting electronics with nerve cells in the brain. The implemented neural interfaces are being used for probing and modulating neural activity by electrical and optical means. A variety of microelectrode arrays can be fabricated using MEMS (Micro Electoro-Mechanical Systems) techniques for studying cultured neural networks or for in-vivo monitoring of neural activity from behaving animals. Our goal is to develop novel neural interfaces combining knowledge in neurophysiology and electronic engineering and apply them to neuroscience studies or to the development of neural prosthetic systems.
Micro and Nano Systems Lab.
Micro and Nano Systems Group focuses on the design, fabrication, testing, and packaging of MEMS/NEMS (Micro/Nano Electro-Mechanical Systems) devices. By combining standard IC fabrication processes with microfabrication approaches, various types of sensors/actuators and 3D microstructures for applications ranging from integrated micro power devices, biomedical devices, to optical micro systems can be fabricated. Current research interests include integrated passives for power electronics, energy scavengers, micro batteries, raster scanning laser display system, optical coherence tomography, and bio applications.
