Dept. of CS
Department of Computer Science and Engineering.
Intelligent Data Science and Applications Lab
Professer: SeongKu Kang / Contact: 02-3290-3796
We live in an era of information overload, with countless papers, articles, and videos produced daily. Despite easier access to information, finding content that is truly relevant and valuable remains a major challenge.
IDEA Lab develops intelligent systems that help users efficiently discover and understand the most relevant knowledge, supporting better decision-making. Our research focuses on recommender systems, search systems, and data science, with an emphasis on personalized and domain-specialized information delivery.
Data Mining and Information Systems Lab
Professer: Jaewoo Kang / Contact: 02-3290-3566
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.
IIIXR (Intelligent Immersive Interactive Extended Reality) Lab
Professer: HyeongYeop Kang / Contact: 02-3290-4608
Intelligent Computing and Networking Lab. (ICNL)
Professer: JeongHo Kwak / Contact: 02-3290-3971
The Intelligent Computing and Networking Lab (ICNL) conducts research on designing novel system architecture for future 6G networks by leveraging AI and cloud technologies. Specifically, our research focuses on developing an orchestrator framework that integrates computing (CPU/GPU), storage and networking resources to support emerging AI-native services. Recently, we have also been exploring system architecture that combines on-device LLM with cloud-based AI models and resources. Furthermore, we are investigating edge computing technologies based on Low-Earth Orbit (LEO) satellites, such as Starlink, with the goal of enabling high-performance cloud computing services anytime, anywhere around the world.
Computer System Architecture Lab.
Professer: Gunjae Koo / Contact: 02-3290-4607
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.
PALM (Program Analysis, Learning, and Mining) Group
Professer: DongSun Kim / Contact: darkrsw@korea.ac.kr
The PALM (Program Analysis, Learning, and Mining) Group works on devising novel techniques to address SE4AI (Software Engineering for AI challenges) and AI4SE (AI for Software Engineering challenges). The techniques include but are not limited to: software testing, program mining, program analysis based on machine learning, automated program debugging, and program optimization. We are applying the techniques to broad applications such as video games, simulators, and web/mobile apps. Our research results are published in top-tier international conferences and journals. We actively work together with leading researchers worldwide, including universities in Luxembourg, the UK, Germany, Singapore, Hong Kong, and Japan.
SERA Lab. (Systems for Extended Reality and AI Lab.)
Professer: SeYeon Kim / Contact: 02-3290-3973
The Systems for Extended Reality and AI Lab (SERA Lab.) at Korea University focuses on building the foundational system software and infrastructure that enable future immersive and intelligent computing experiences. Our research lies at the intersection of computer systems, extended reality (XR), and artificial intelligence (AI), with a strong emphasis on real-world applicability, performance, and scalability.
We explore how system-level innovations can support low-latency, high-performance XR platforms and enable seamless integration of AI workloads in edge and cloud environments. From optimizing operating systems and virtualization layers to designing intelligent offloading strategies and real-time resource management techniques, SERA Lab tackles the key challenges involved in making XR and AI truly interactive, mobile, and scalable.
We are also interested in how future networked systems, such as 5G/6G and edge computing, can be leveraged to support next-generation immersive applications. In doing so, we aim to bridge the gap between user-facing applications and the complex system infrastructure that powers them.
Intelligent Computer Architecture and Systems Lab
Professer: YoungGeun Kim / Contact: 02-3290-4609
Digital eXPerience Laboratory (DXP)
Professer: Jounghyun Kim / Contact: 02-3290-3196
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.
Vision and AI lab
Professer: JinKyu KIM / Contact: 02-3290-3195
Intelligence aNd Informatics Lab
Professer: Hyeoncheol KIM / Contact: 02-3290-1338
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: HyoGon KIM / Contact: 02-3290-3569
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.
Visual Computing and AI Lab
Professer: GyeongSik Moon / Contact: 02-3290-3972
The VCAI (Visual Computing and AI) Lab conducts research at the intersection of computer vision, graphics, and robotics to perceive, represent, and model human-centered 3D worlds using AI. Our goal goes beyond simple 3D reconstruction—to design AI systems that can naturally replicate and manipulate human appearance and behavior.
1. Computer Vision for Human Perception: We develop techniques to reconstruct the 3D structure of humans from single images and videos captured by cameras. Our research covers the reconstruction of all human elements, including 3D joint rotations of the face, hands, and body, as well as facial expressions, clothing, and hair. This enables markerless motion capture and single-camera-based digital twin creation.
2. Computer Graphics for Human Representation: We explore optimal representation methods for high-quality 3D digital humans, leveraging meshes, volumetric representations, point clouds, neural implicit representations, and generative models. Our research focuses on developing controllable representations that allow flexible adjustments of lighting, pose, and texture, enabling personalized 3D avatar generation, natural motion transfer, and automated lighting/texture modifications.
3. Robotics for Human Behavior Modeling: We study AI-driven human behavior modeling using generative models to sample motion and generate conditioned motion from images, text, and sound. This allows virtual agents or robots to exhibit human-like behaviors.
By (1) precisely recognizing human motion (Computer Vision), (2) realistically reproducing human appearance (Computer Graphics), and (3) generating natural human behaviors (Robotics), we aim to develop virtual agents and robots. Our research contributes to the advancement of virtual humans, interactive AI, and digital twin technologies.
HIGH-SPEED COMMUNICATION LABORATORY
Professer: Sung-Gi Min / Contact: 02-3290-3640
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
Generative Intelligence Lab
Professer: SeongWoo Park / Contact: 02-3290-3975
The Generative Intelligence Lab develops AI systems that generate and analyze complex structured data, leveraging diffusion models that serve as a fundamental framework in generative AI research.
Our research aims to advance complex decision-making by applying generative modeling to data with strong temporal and spatial structures, including text, images, biosignals, and molecular configurations, thereby going beyond conventional data analysis. We seek to pioneer new directions in generative AI by fusing these technologies with diverse fields, including natural sciences, healthcare, and finance.
Database Systems Lab
Professer: JongHyeok Park / Contact: 02-3290-4843
Our research primarily focuses on designing database system optimizations that leverage next-generation storage including NVM (Non-Volatile Memory) and CXL (Compute Express Link).
Although these new storage technologies offer unique features compared to conventional storage devices, current database systems do not fully harness their potential, leaving a significant gap between storage and database systems.
We aim to bridge this gap by exploring optimization techniques that enable database engines to maximize the performance of modern storage.
Programming Language Research Group (PLRG)
Professer: JiHyeok Park / Contact: 02-3290-4602
System INtelligence Group (SING)
Professer: SeungJun Baek / Contact: 02-3290-4847
Embedded Systems and Computer Architecture Labs (ESCA)
Professer: Taeweon Suh / Contact: 02-3290-2685
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
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.
System Software Lab
Professer: GyeongSik Yang / Contact: g_yang@korea.ac.kr
System Software Lab aims to identify and overcome challenges in system software, which is essential for operating and managing modern computing infrastructures ranging from individual desktops and servers to edge devices to large-scale cloud data centers.
Specifically, we primarily research in the following areas: 1) systems for AI, 2) AI for systems (intelligent OS and system software), and 3) network systems software.
We actively publish research papers in top-tier journals and conferences, contribute to open-source software, and extensively participate in collaborative research with global industries.
Mobile Embedded Systems (MES) Lab
Professer: SangEun Oh / Contact: sangeunoh@korea.ac.kr
Software Analysis Laboratory
Professer: HakJoo Oh / Contact: 02-3290-4601
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
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
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Research on resource management technologies, considering quality of service (QoS) of virtual machines and service level agreement (SLA)
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Research on virtual resource and virtual machine fault-tolerance technology to improve the reliability of cloud services
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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
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Research on GPU parallel processing scheduling technology to reduce the waiting time for synchronization of parallel threads
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Edge computing: Edge cloud technology supported in real time
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Research on edge technology for efficient use of mobile resources provided in real time
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Research on fault detection and restoration technology for mobile edge computing
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Operating Systems Lab
Professer: Hyuck Yoo / Contact: 02-3290-3639
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
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: SuSik Yoon / Contact : 02-3290-3199
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.
Phyical Computing Lab.
Professer: JaeHoon Lee / Contact: 02-3290-4846
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.
Microwave/Millimeter-Wave Laboratory
Professer: JuSeop Lee / Contact: 02-3290-4848
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
IBEL(Intelligent Blockchain Engineering Lab.)
Professer: Hoh IN / Contact: 02-3290-3206
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
The NLP & AI Laboratory conducts research in the fields of natural language processing and artificial intelligence, focusing on deep learning and machine learning methodologies. The laboratory possesses core and analytical technologies spanning the entire spectrum of natural language processing, including information retrieval and extraction, large language model (LLM) research, question answering and dialogue systems, as well as multimodal AI. Each year, the laboratory publishes and presents numerous papers in leading domestic and international journals and top-tier conferences, establishing itself as a premier research institution in the field of natural language processing in Korea. Furthermore, the laboratory has founded the Human-Inspired AI Research Center, supported by the National University ICT Research Center program, to advance cutting-edge artificial intelligence technologies.
Language and Intelligence Laboratory
Professer: BuRu Chang / Contact: 02-3290-3974
The Language and Intelligence Lab. conducts research that leverages natural language processing technologies to solve real-world problems and contribute to society. Our work spans a wide range of fascinating topics—from building conversational models that feel like talking to a friend, to developing trustworthy large language models that align with social values, to automatically generating quests for open-ended games. We are also expanding the potential of large language models by incorporating visual understanding to tackle multimodal tasks through advanced multimodal large language models.
Secure Software Lab (S2 Lab)
Professer: YuSeok Jeon / Contact: ys_jeon@korea.ac.kr
S2LAB focuses on enhancing software security by utilizing advanced techniques, including compilers, fuzzing, and AI, to eliminate or mitigate the impact of software vulnerabilities.
SMRL (SoC and Microprocessor Research Lab.)
Professer: SungWoo Chung / Contact: 02-3290-3571
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
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Generative Modeling
- Diffusion Probabilistic Models
- Score Matching
DataX Lab
Professer: Yon Dohn Chung / Contact: 02-3290-3580
The DX Laboratory (Data Everything Lab) at Korea University conducts various research on data management and processing fields, such as database systems and data privacy. Recently, we also studied the application of artificial intelligence technology to these fields.
- · Research on moving object databases for efficient storage, management, and analysis of spatiotemporal data
- · Research on privacy protection technologies considering various deep learning environments
High-performance Visual Computing Lab (HVCL)
Professer: WonKi Jeong / Contact: 02-3290-4606
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.
RAIN (Reinforcing AI and Network) Lab.
Professer: Changhee Joo
The RAIN Lab conducts cutting-edge research focused on artificial intelligence (AI), machine learning (ML), and networks. Modern systems are characterized by fragmented and decentralized information, making it essential to collect and analyze the necessary data swiftly and accurately within complex network structures. Our lab focuses on developing Network for AI services to efficiently utilize such decentralized systems, while also exploring various approaches to enhance the efficiency and performance of networks by exploiting AI technology and developing AI/ML techniques for networks.
Media Lab
Professer: JungHyun HAN / Contact: 02-3290-3207
- Virtual Reality
- 2D reconstruction and augmented reality
- Deep learning + 3D application
- Computer graphics and physical simulation
Information System Security Lab.
Professer: Junbeom Hur / Contact: 02-3290-4603
- 1. Cloud computing security – Research on privacy protection technology for cloud data and detection technology for vulnerabilities in cloud virtualization
- 2. Network security – Research on detecting vulnerabilities in TLS network security protocols and countermeasures
- 3. Applied password – Research on password algorithms and password protocol technology that can be arithmetically operated, such as searching and machine learning
- 4. Detection of vulnerabilities in computer system – Research on detecting vulnerabilities in computer processor and virtualization system and countermeasures
- 5. Blockchain & AI Security - Machine learning-based blockchain data clustering and cryptocurrency deanonymization