Korea University College of Informatics

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Research Labs

Data Mining and Information Systems Lab

Professer: Jaewoo Kang / Contact: 02-3290-3566

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Data science has advanced to the point where it is changing our world. It is now the center of exploring and uncovering knowledge in different domains and acts as a bridge to connect them. With ever growing amount of data and opportunity to explore, DMIS lab aims to drive the data science revolution.

DMIS (Data Mining and Information Systems) Lab seeks to develop explainable AI in the following areas: Drug Discovery, Bioinformatics Analysis, Biomedical Image Processing, Recommender Systems, Question and Answering, Search, Financial Data Analysis, and much more. We focus on finding models, algorithms, and systems for any kinds of data analysis with applications on prediction, knowledge discovery, representation learning and anomaly detection. DMIS Lab is also participating various data science competitions such as DREAM Challenges to solve difficult real-world problems and facilitate knowledge sharing with other research teams around the world.


Computer System Architecture Lab.

Professer: Gunjae Koo / Contact : 02-3290-4607

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The Computer System Architecture Lab (CSArch) at Korea University focuses on the broad range of computer system architecture research. CSArch’s research spans processor architecture, memory and storage systems, FPGA and accelerator design, and secure processor architecture.



Brain Lab.

Professer: Dong-Joo Kim / Contact: 02-3290-3847

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Medical artificial intelligence, which applies the state-of-the-art AI technology for medical data analysis to comprehensively understand the conditions of patients, suggests the optimal therapeutic methods tailored for each patient, and supports medical staff with their diagnosis, is a promising next-generation technology. Medical AI has drawn the most attention among various areas where the AI technology can be applied. Beyond diagnostics, medical AI has been extended to all medical services, including robotic surgery and intelligent health care.

Brain Lab has been working on the development of various technologies with an aim to develop a clinical decision support system (CDSS) that is equipped with decision-making abilities better than those of humans, thereby being ready for clinical use. To realize the system, AI is required to be applied to many areas, including analysis of multi-modal physiological signals, quantitative analysis of medical imaging, and analysis of atypical electronic health records. Along with the CDSS development, the lab conducts research on various AI applications such as brain-computer interfaces, cranial nerve disease simulations, debtor contact systems, and virtual fitting solutions.



Universal Transfer Learning Lab

Professer: Donghyun Kim / Contact: 02-3290-4687

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Our lab is committed to the investigation of effective transfer learning algorithms that span diverse domains and applications. It places a specific emphasis on elevating the transferability, generalization, and adaptation capabilities of artificial intelligence (AI) models. It delves into multiple AI domains, including computer vision, multi-modal (language-vision), and natural language processing. Ultimately, the aim is to lead in the creation of specialized transfer learning algorithms that seamlessly transcend the boundaries between various domains and modalities, exploring a wide array of tasks and tailoring them for practical AI applications. Recently, the laboratory has been directing its efforts towards the development of transfer learning techniques utilizing foundational models to realize these objectives.

Affective Cognition

Professer: Sang Hee Kim / Contact: 02-3290-3538

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  • Research areas
    • Affective cognition lab at Korea University pursues research in the area of emotion and emotion regulation. We combine behavioral and neuroscientific techniques (fMRI, rTMS/tCS, EEG/ERP) to understand the complex nature of emotional processes and the reciprocal interaction between emotion and cognition. Our recent research focuses on the development of cognitive strategies that successfully modulate maladaptive emotional responses, with emphasis on the distinction between explicit and implicit strategies and the role of brain stimulation as a potentiator. Our research is expanded into the domain of emotional intelligence, healthy emotional coping, treatment of emotional disorders, and emotional change with aging.
  • Recent research achievements
    • Patent: 충동적 행동조절을 위한 통합장치 개발 (2018)
    • Research: Examination of emotion reappraisal performance in association with attention bias to emotional faces (2016)
    • Research: Successful demonstration of how music influences complex economic decision-making processes (2016)
    • Research: Successful demonstration of how emotional traits are predicting brain activation during reward and avoidance learning (2015)

Computer Vision Lab. (CVLAB)

Professer: Seungryong Kim / Contact: 02-3290-4608

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The Korea University Computer Vision Laboratory (CVLAB), which aims to heighten human values via the development of AI, carries out a wide range of research on computer vision and machine intelligence, two key areas in artificial intelligence. Specific research subjects include 3D computer vision, visual correspondence, visual understanding, multi-modal learning, deep representation learning, image generation, and image restoration, in order to develop the AI technology which perceives the visual world and makes a decision at the level of human and ultimately collaborates with humans. In addition, CVLAB has been actively involved in convergence research within the areas of graphics, robotics, natural language processing, voice processing, brain science, and cognitive science. 


Digital eXPerience Laboratory (DXP)

Professer: Jounghyun Kim / Contact: 02-3290-3196

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Digital eXPerience Laboratory (DXP) carries out research on mobile interaction, mixed/virtual reality technology, and the development of human-centered HCI for next generation. In particular, DXP focuses on methodology and basic technology for enhancing simple and functional interfaces to Rich-Experiential interactions. 


Graphics Lab. 

Professer: Chang-Hun KIM / Contact: 02-3290-3574

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The Computer Graphics Lab at Korea University has been pouring energy into CG/HCI/VR research. Some of the on-going research at the lab are related to physics-based visual simulation for VFX effects, artificial life created by computer graphics and artificial intelligence, and application of big data-based computer graphics.


Based on the lab’s global research achievements, eleven of its graduates are currently working as professors at universities. The other graduates from the lab are also working hard to realize their dreams at government-run research institutes such as ETRI and KIST; in large conglomerates like Samsung Electronics; and as self-employed CEOs. The lab is proud to offer full-tuition scholarships to its students so that they can concentrate on their study. Those who participate in lab-led projects are also eligible for financial support for living expenses. 



Professer: Hyunwoo Kim / Contact: 02-3290-4604

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We are tackling fundamental open problems in machine learning and computer vision research to achieve deep understanding of visual world. High-level visual perception involves automated image and video analysis, computational geometry, and visual reasoning. Our curiosity on highly structured knowledge, images and videos lead us to study the underlying non-Euclidean space and generalize models, including deep neural networks, to manifolds, and graphs.

Intelligence aNd Informatics Lab

Professer: Hyeoncheol KIM / Contact: 02-3290-1338

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Intelligence and Informatics Lab (INI) is under the supervision of Professor Kim Hyeon-cheol from the Department of Computer Science and Engineering at the College of Informatics, Korea University. Based on the machine learning algorithms, INI has been carrying out a research on the development of analysis or forecast models for various domains. The lab particularly focuses on the interpretable machine learning study in which a neural network model can infer from learning, interpret models, and ultimately, make it understandable for humans.


Wireless Data Communications Laboratory

Professer: Hyo-Gon KIM / Contact: 02-3290-3569

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The areas of research conducted by Wireless Data Communications Laboratory are 5G communication/network, autonomous driving, IoT, and mobile computing. First, the laboratory studies the 5G technology, considered as standard for the next-generation mobile communication, and develops its applications. With regards to the 5G technology applications, the laboratory carries out research on V2X (vehicle-to-everything) communication, a key technology for autonomous vehicles, focusing on the development of artificial intelligence capable of autonomous driving. In the IoT area, the laboratory tries to find a new application from coupling communication with sensing. In the area of mobile computing, the lab aims to develop an innovative service based on smartphones. 


Min Lab

Professer: Byoung-Kyong Min / Contact: 02-3290-3557

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We have investigated human intentional mental properties (e.g. top-down cognitive processing). We have tried to find its neurophysiological correlates(EEG, MEG, fMRI), which can be consequently employed as potent brain signals to cognitively control the brain-machine interface (BMI). We have also investigated how to modulate neural and cognitive activities in a noninvasive manner(tCS or Ultrasound), leading to changes in cognitive and behavioural responses. Recently, we focus on the study of Consciousness.


Professer: Sung-Gi Min / Contact: 02-3290-3640

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High-speed Communication Laboratory performs a wide range of research in communication networks such as basic networks (IEEE Std 802.11/802.15.4, Routing, QoS, Mobility, Internet Security, Management), Wireless & Mobile Networks (IoT, VANET, 5G, TSN), and future networks (SDN, ICN, LISP, NFV). Recently, the laboratory steers its attention toward research that applies machine learning to communication networks. 


Hypermedia Lab.

Professer: Seongbin Park / Contact: 02-3290-2395

System Intelligence Group

Professer: Seongbin PARK / Contact: 02-3290-4847

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The main research area of our lab, System INtelligence Group (SING), is deep learning, mobile computing and data-driven optimization. We are interested in and working on various projects on intelligent systems focusing on deep learning architectures and principles, computer vision, medical AI, mobile edge computing and autonomous vehicle systems.

Embedded Systems and Computer Architecture Labs (ESCA)

Professer: Taeweon Suh / Contact: 02-3290-2685

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ESCA is dedicated to research on hardware-based security and acceleration utilizing CPUs as well as FPGA. The lab has studied how to accelerate big data processing and improve security based on hardware such as FPGA. The lab’s current research project is related to the application of AI accelerator, designed by the lab, to Social Overhead Capital (SOC). It also works with different testbeds to identify CPU security flaws such as Spectre and Meltdown and learn to cope with them. 



Multimodal Interactive Intelligence Laboratory (MIIL)

Professer: Hongsuck Seo / Contact: 02-3290-3191

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In MIIL, we are dedicated to creating intelligent systems that can comprehend and engage in meaningful, context-aware conversations while seamlessly interacting with their surroundings. To this end, we recognize the significance of multimodal AI, which combines speech, vision, gesture, and touch, to enable natural understanding of our world. Moreover, we understand the critical role of conversational and embodied AI in realizing Artificial General Intelligence, the ultimate goal of creating machines that possess comprehensive intelligence and interact back with the world in a human-like manner.


Machine Intelligence Lab.

Professer: HEUNG-IL SUK / Contact: 02-3290-3738

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  • Research areas: Artificial intelligence, machine learning, deep learning, brain/medical data analysis

    Research details: 

    • (1) To develop technologies for optimization, computer vision, and machine learning (deep learning) for sophistication of AI technology 
    • (2) To develop machine learning/deep learning algorithm for brain and medical data analysis 
    • (3) To develop AI technology to provide user-friendly explanation/interpretations  

System Software Lab

Professer: Gyeongsik Yang / Contact: g_yang@korea.ac.kr 

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System Software Lab identifies and overcomes key challenges in system software that controls computing infrastructure, from individual desktops/servers to large cloud data centers and planet-scale clusters.
Specifically, based on operating system and system software technologies, our lab investigates and produces top-tier research results in 1) AI system software (systems for AI), 2) intelligent operating systems (AI for systems), and 3) network system software.




Software Analysis Laboratory

Professer: Hakjoo Oh / Contact: 02-3290-4601

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The Software Analysis Laboratory performs research on technologies to develop software that is safe and can be trusted by users. Based on its understanding of programming languages, the laboratory studies about how to develop various technologies for automatic software analysis, automatic software patch, and automatic software synthesis. Academically, the lab publishes its research results in top-class software journals and at academic conferences. In collaboration with companies at home and abroad, the lab contributes to addressing practical issues in the real world. 




Software Security and Privacy Laboratory

Professer: Seunghoon Woo / Contact: 02-3290-3192

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Software Security Lab (SSP Lab) was established in 2023 to conduct research to create a safe software ecosystem by detecting and resolving various security threats that exist in software. Our research area includes software vulnerability detection, vulnerability verification, open-source software security for secure supply chains, analysis of security in the software ecosystem, and studies related to security patches. The results of our research are being published in top-tier international conferences and journals.


Distributed & Cloud Computing Lab

Professer: Heonchang Yu / Contact : 02-3290-2392

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  • Cloud computing: Virtual resource management technology on the basis of network 

    • Research on resource management technologies, considering quality of service (QoS) of virtual machines and service level agreement (SLA)

    • Research on virtual resource and virtual machine fault-tolerance technology to improve the reliability of cloud services

  • GPU virtualization: GPU management technology to support high-performance operation in cloud environments 

    • Research on GPU multiplexing and virtual GPU memory management technology to support large-scale parallel processing in cloud environments 
    • Research on GPU parallel processing scheduling technology to reduce the waiting time for synchronization of parallel threads 

  • Edge computing: Edge cloud technology supported in real time 

    • Research on edge technology for efficient use of mobile resources provided in real time

    • Research on fault detection and restoration technology for mobile edge computing 

Operating Systems Lab

Professer: Hyuck YOO / Contact: 02-3290-3639

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Operating Systems Lab has been selected as one of the national "SW StarLabs" that are designated and supported by Korea Government for its excellence in software research. Key research themes are intelligent clouds and network virtualization system. Intelligent clouds include followings: 1) intelligent processing of deep learning, 2) performance guarantees for scalable big data processing, and 3) blockchain-based security. Network virtualization system builds virtualized SDN technology that provides ultra-low latency, isolation of traffics, and programmability to tenants, that are in critically needed of 5G/6G services and beyond.

Artificial intelligence Lab

Professer: DONGSUK YOOK / Contact : 02-3290-3641

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We are working on spoken language based human and machine interface technologies to provide convenient access to computers. Artificial intelligence, machine learning, and deep learning are our main research interests. We are developing state-of-the-art applications for speech understanding, speech recognition, speech synthesis, speaker recognition, and voice conversion using deep learning. One of our research results is a “large vocabulary speaker independent continuous speech recognizer” that shows robustness under noisy environments. It uses an “unsupervised online adaptation algorithm” that improves the performance of the speech recognition system as it is used in real environments. This will make it possible to efficiently use the speech recognizer for many real life applications.


Data & Adaptive Intelligence Systems (DAIS) Lab

Professer: 윤수식 / Contact : 

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The mission of the Data & Adaptive Intelligence Systems (DAIS) lab is to empower innovation through data-driven insights. We achieve this through conducting cutting-edge research with data science methodologies and artificial intelligence models, enabling us to address real-world problems and challenges. Our specific interest includes, but is not limited to, unstructured and evolving data that have become increasingly abundant but pose challenges in deriving insights and knowledge. Our ultimate goal is to develop adaptive intelligence systems that facilitate seamless interactions among humans, environments, and intelligent agents.

Data Intelligence Lab

Professer: SangKeun Lee / Contact : 02-3290-3205

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The Data Intelligence Lab has worked toward its vision - “Towards R & D Excellence” - through research on deep learning, artificial intelligence, and natural language processing. Its major research interests lie in natural language processing based on deep learning, on-device AI, and the development of intelligent services for the next generation. 


Pattern Recognition & Machine Learning Lab

Professer: Seong-Whan Lee / Contact: 02-3290-3197

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Pattern Recognition & Machine Learning Lab develops the pattern recognition and machine learning methods, key components of artificial intelligence, and studies their applications. 

  • Research details in AI
    • Explainable AI technology to provide explanations on AI decision-making
    • Brain-inspired AI technology to emulate the principles of human brain function
    • Skincare solutions on AI-based face analysis 
    • AI agent technology using synthesis of voices 
  • Research details in brain-computer interface
    • Through the analysis of brain signals, brain-computer interface technology understands precisely the user’s intention and allows the user to control connected devices simply by thinking about controlling them. 
  • Research details in computer vision
    • Through the analysis of camera footage, the cognitive computer vision technology can analyze the human behaviors and predict next moves. Aerial image analysis technology can be used to detect objects from aerial images, estimate their locations, and detect any changes occurred.  

Informatics & Computing Lab

Professer: Wongyu Lee / Contact: 02-3290-2391

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The Informatics & Computing Lab studies how to utilize statistics, data mining, and machine learning to develop an analysis system for education courses and support systems for education assessment, based on informatics. By building the knowledge system of computer science including basic knowledge in computing and applications of computing technology, the lab strives to contribute to training human resources in computer science. 

Phyical Computing Lab.

Professer: Jaehoon Lee / Contact: 02-3290-4846

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The Physical Computing Lab focuses on research on optical high-frequency sensors and communication elements, signal/power integrity, software-defined radio, and open-source hardware that can be applied to various systems such as the Internet of Things, high-speed digital signal transmission, and communication system. 

Brain Signal Processing Lab. (BSPL)

Professer: Jong-Hwan Lee / Contact: 02-3290-3667, 5922

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Our goal is to investigate brain functions measured via various neuroimaging modalities including MRI (MRI) and electroencephalography (EEG) employing various signal processing techniques, machine learning, and deep learning approaches. We have done some interesting works including the fMRI data analyses using novel analytical methods such as independent vector analysis (IVA), iterative dual-regression of group independent component analysis (ICA) with a sparse prior to better estimate true neuronal activity, recursive principal component analysis (PCA) to EEG-segments of simultaneous EEG-fMRI data, and deep neural network (DNN) to fMRI data. The developed methods would gainfully be applied to the neuroimaging data including fMRI, simultaneous EEG-fMRI, and real-time fMRI based neurofeedback method. Based on the correct understanding of human brain functions, we would like to focus on the basic neuroscientific researches as well as brain engineering applications including the BCI/BMI and ultimately on preclinical applications to develop an option to diagnose and treat the various neuropsychiatric illnesses such as depression, schizophrenia, and substance abuse. We believe that the proper analytical methods to exploit the hidden information of the neuroimaging data would lead to a better understanding of the human brain and to better engineer the brain and ultimately toward the enhancement of quality of life. 

Microwave/Millimeter-Wave Laboratory

Professer: Juseop Lee / Contact: 02-3290-4848

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The Microwave/Millimeter-Wave Laboratory focuses on studying ultrahigh frequency wireless circuit which is applicable for satellites, radar, and wireless communication systems. The lab publishes its findings in world-renowned peer-reviewed journals and presents them at academic conferences.  

Computer & Communication Security Laboratory (CCS Lab)

Professer: Heejo Lee / Contact: Tel) +82-2-3290-3638 Fax) +82-2-3290-3638

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CCSLAB was founded in 2004 with the purpose of finding countermeasures against security issues. Its members are working on a wide range of security-related research from traditional issues, such as software and network security, to recent technology issues like IoT and blockchain. To be specific, their research aims to develop security protection technologies to automatically detect and analyze security vulnerabilities and to analyze open-source software in use and detect any license violations. The lab also conducts research on network protocol purging and detecting DDoS to respond to sinkholes. The lab actively collaborates with great scholars and researchers in security. The research outcomes and project achievements are regularly published in major international journals and at conferences like IEEE S&P. The published research results are to be actually utilized in our daily life. 

IBEL(Intelligent Blockchain Engineering Lab.)

Professer: Hoh IN / Contact: 02-3290-3206

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IBEL carries out research on how to develop effective blockchain platforms and basic technologies to support the management of reliable AI learning models and data. Specifically, the lab focuses on blockchain, smart contracts, and decentralized applications for various domains such as the IoT, FinTech, GIS, and healthcare. 



Natural Language Processing & Artificial Intelligence Lab (NLP&AI Lab)

Professer: HeuiSeok Lim / Contact: 02-3290-2684

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NLP & AI Lab performs research on natural language processing based on statistics and deep learning, machine learning, and artificial intelligence. The lab proudly possesses elemental technologies and analysis technologies encompassing the entire process of natural language processing from morpheme analyzers to dialogue systems. With numerous papers published annually in prestigious journals at home and abroad and presented at international academic conferences, the lab has settled its position as the Korea’s top research lab in natural language processing. Recently, the lab established the Human-inspired AI & Computing Research Center under the sponsorship of a government-run ICT research center, where the lab intends to carry out research on the AI technology reflecting the principles of information processing by humans. 

SMRL (SoC and Microprocessor Research Lab.)

Professer: Sung Woo Chung / Contact: 02-3290-3571

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SMRL studies on how to control the power and heating of computers by hardware as well as software. Currently, the lab focuses on research on cloud environments and 3D die-stacking technology. With regards to the computer heating control methods, the lab has been highly recognized not only in Korea but also on the global stage with its excellent research achievements.

Intelligence Engineering Lab

Professer: SoonYoung JUNG / Contact: 02-3290-2683

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  • Audio Processing with Deep Learning 
    • Music Source Separation
    • Audio Manipulation with Textual Queries
    • Speech Enhancement/Denoising
  • Generative Modeling 
    • Diffusion Probabilistic Models
    • Score Matching

Database Laboratory

Professer: Yon Dohn Chung / Contact: 02-3290-3580

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The Database Lab studies database systems and Big Data processing technology. The lab’s specific research foci are: array databases to process multidimensional array mass data; spatial-temporal databases to process real-time spatial-temporal data from autonomous vehicles, smartphone users, and IoT devices; and data privacy and security to prevent the invasion of privacy from data systems. Along with its major research interests, the lab also carries out research on data visualization to effectively deliver the data analysis results to users and AI-data convergence to discover underlying rules or knowledge in data sets. 

High-performance Visual Computing Lab (HVCL)

Professer: Won-Ki Jeong / Contact: 02-3290-4606

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High-performance Visual Computing Lab (HVCL) at Korea University is conducting interdisciplinary research on visual computing and visualization for novel scientific discoveries. Specifically, our research focuses on machine learning-based image processing and visualization algorithms for extracting useful information from various visual data (e.g., images, videos, 3D objects). We are also developing GPU and distributed computing systems for user-friendly and efficient large-scale data visual analysis. We expect the results of our research will contribute to various biomedical and scientific applications, such as drug discovery, prediction and diagnosis of disease, fast medical imaging, and large-scale scientific simulation.

Statistical Intelligence Lab

Professer: Wonzoo Chung / Contact: 02-3290-4845

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  • Machine Learning & Neural Information Processing
    • Few Shot Learning using Statistical Machine Learning
    • Statistical Machine Learning
  • Brain Computer Interface
    • Developing various Machine Learning algorithms for BCI
    • Signal Processing for BCI
  • Information Processing for Sensor Networks
    • Estimation and Detection in Wireless Sensor Networks
    • MIMO Sensor Processing

SLOW (Statistical Machine Learning on Wireless Networks)

Professer: Changhee Joo / Contact: 02-3290-4605

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The SLOW (Statistical Machine Learning on Wireless Networks) Lab conducts a host of research related to computer networks and specific research on dispersion algorithms and optimization using enhanced learning and machine learning. Based on research on network systems and machine learning algorithms, the lab is developing cutting-edge information and communication technologies to prepare for future technologies such as artificial intelligence and the 6G communication systems. 


Optical Biosignal Processing Lab.

Professer: Jichai Jeong/ Contact: 02-3290-3233

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The Optical Biosignal Processing Lab focuses on the following research interests in brain engineering:


  • Construction of functional Near-Infrared Spectroscopy(fNIRS) neuroimaging system and processing of bio signals based on brain signals


  • Implementation of memristor synaptic device based neural network for neuromorphic systems


  • Development of brain cognitive experiment paradigm and analysis of machine learning based on fNIRS



Dependable Software Laboratory

Professer: Sungdeok Cha / Contact: 02-3290-4844

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Dependable Software Laboratory (DSL) investigates the possibility of developing necessary technologies to build a safe and reliable software system in line with the current trend of software-centered era. It values the development of practical solutions that can address issues arising from the actual field. Major research areas are network security and validation and requirement technology for the reliability of safety critical software. 

Media Lab

Professer: JungHyun HAN / Contact: 02-3290-3207

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  • Virtual Reality 
  • 2D reconstruction and augmented reality 
  • Deep learning + 3D application 
  • Computer graphics and physical simulation 

Bionics and Photonics Lab.

Professer: Jae-Ho HAN / Contact: 02-3290-5927

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  • Research on analysis and diagnosis technology for images from optic nerve based on artificial intelligence 
  • Research on functional holography imaging technology with ultrahigh definition
  • Research on next-generation nano electronic devices and bio sensor technology 

Information System Security Lab.

Professer: Junbeom Hur / Contact: 02-3290-4603

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  1. 1. Cloud computing security – Research on privacy protection technology for cloud data and detection technology for vulnerabilities in cloud virtualization 
  2. 2. Network security  Research on detecting vulnerabilities in TLS network security protocols and countermeasures 
  3. 3. Applied password  Research on password algorithms and password protocol technology that can be arithmetically operated, such as searching and machine learning
  4. 4. Detection of vulnerabilities in computer system  Research on detecting vulnerabilities in computer processor and virtualization system and countermeasures
  5. 5. Blockchain & AI Security - Machine learning-based blockchain data clustering and cryptocurrency deanonymization

Cognitive systems Lab

Professer: Christian wallraven / Contact: 02-3290-5925

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In the cognitive Systems Lab, we have two main goals: -our first goal is to enhance our understanding of the algorithms employed by the human cognitive system through the use of cutting-edge methods from machine learning and computer graphics coupled with perceptual and cognitive experiments. -our second goal is to transfer this knowledge to implementations of intelligent, artificial cognitive systems which can be used in robotics, computer vision, computer animation, and even in clinical applications. In the lab, we apply this combined experimental and computational.