Data and Knowledge Engineering Laboratory is doing active research on the areas of databases and data mining. They are fundamental research areas that aim to efficiently store and process big data and effectively extract useful knowledge from it. With more than 20 years of research experience, we have been developing competitive cutting-edge technologies and publishing high quality papers on top-tier international conferences and journals in fields related to big data. We also try to participate in a variety of international activities including collaborations with top-level research universities and institutes such as Carnegie Mellon University, Pennsylvania State University, Microsoft Research Asia, and Brookhaven Research Laboratory in order to improve the international research capabilities of our lab members.
- Databases/Data Mining - Data Science - Big Data - Social Network Analysis - Recommender Systems - Intelligent Personalized Services - Trust Management
Mobile Intelligence & Routing Laboratory (MIR Lab) in Hanyang University was established in 2004. The MIR Lab contributes to future software-defined networking protocols that include Mobility Management, Quality of Experience, provisioning & topology discovery, Protection & Restoration, Network Virtualization, and Intelligent Switching & Routing. The MIR Lab also investigates future ICT convergence technique on Energy management system for preventing from Blackout. In particular, MIR Lab was performing several projects funded by KOSEF, KIAT and many industries.
- Software Defined Networking - Mobility/Location Management - Converged Networking
Mixed Reality Laboratory (MRL) explores the following research fields: augmented reality, computational imaging, and human-computer interaction. This laboratory has played a leading role in augmented reality research. The MRL implements practical applications for augmented reality systems on various devices such as desktop PCs, tablets, and mobile phones with steady research on vision-based tracking. To construct realistic virtual realities and/or to seamlessly integrate the virtual and real world, the laboratory studies computational camera, computational illumination, and how they work together, which enable us to explore a wide variety of imaging dimensions. The laboratory also explores how humans and computers interacts each other and researches how to improve the way of interaction to either increase productivity or entertain humans. The laboratory has been performing a variety of research projects in cooperation with various companies and research organizations such as Samsung, LG, SKT, Hyundai, ETRI, KIST, ATR, KRF, KOSEF, and MKE.
- Computer Vision and 3D Image Processing - Computer Graphics and Interaction - Computational Imaging and Displaying
Database laboratory is working on cutting-edge technologies for U-Learning systems, ontology-based knowledge representation and E-Learning standardization. System software for next-generation storage devices is also one of research streams at the Database laboratory.
- U-Learning (Ubiquitous Learning) - LMS (Learning Management System) - Ontology Based Content Retrieval - Ontology Engineering - System software for NAND flash memory-based storage devices
At the Digital Media Laboratory, we conduct research on digital media representation, compression, and computing. Our research includes international standardization activities such as MPEG. Our recent research focuses on MPEG internet video coding, future video coding, and point cloud compression.
- 3D graphics compression (point cloud compression) - Video coding (MPEG internet video coding, MPEG future video coding) - Audio-based data mining
At the Mobile & Network Convergence Laboratory, research on mobile and network convergence is being done. Our laboratory was founded following the recent trend of mobile embedded system and network convergence, which are going deep into our daily life and also closely related to the environment of future computing and life. Therefore, it can be said that we have a very bright future ahead. Our laboratory is researching the following 3 areas and is focused on acquiring the latest technology and practices on related areas by doing projects..
- IOT & USN/RFID - Mobile & Embedded Systems - Network Convergence & Internet
With the recent technological developments in biomedical research, “bioinformatics” has drawn a lot of attention. Bioinformatics research, from a computer scientist’s point of view, can be classified into three categories: (1) developing algorithms and software tools that analyze and make it possible to understand biomedical data; (2) processing & organizing the raw data in a way such that biomedical knowledge bases can be constructed to facilitate biomedical research; (3) solving important biological problems or discovering new biomedical information by representing & integrating various types of data when the raw data is generated in a very large volume and do this at an unprecedented speed. Recent breakthroughs in genome sequencing technology has started to generate enormous amount of data and at the same time, proteome data is being accumulated rapidly as well. Therefore, algorithm development for efficient and effective data analysis has become ever more essential. We have been developing advanced algorithms to analyze mass spectrometry-based proteomics data that will lead cutting edge technologies. Based on this firm grounding in proteomics data analysis, we have shifted gears to integrate genomic and proteomic data to better understand biological systems, paving the ways for personalized medicine A steep increase in the amount of data, often in petabytes, requires the introduction of distributed computing technology for big data analysis. With the accumulation of meaningful biomedical data, we can perform various machine learning and data mining research to predict various biomedical phenomena and to determine dynamic states of a biological system.
- Computational Proteomics - Systems Biology - Personalized Medicine - Bio Database & Data Mining - Pattern Matching
Artificial Inteligence (AI) Laboratory is part of the Department of Computer Science at Hanyang University. Our research focuses on AI systems that exhibit the characteristics we associate with intelligence in human behavior, and also IR systems that search for documents (or information within documents) in large-scale text databases or Social Networks on the World Wide Web.
- Artificial Neural Network Applications - Pattern Recognition and Matching - Intelligent Information Retrieval and Recommendation Engine - Robot Intelligence and ChatBot - Game Based Learning and Game Intelligence
The fields of research for our Lab are the theory and practice of computer algorithms, especially focusing on “Information Security”, “Bioinformatics” and “String matching”. We research cryptographic algorithms and encryption protocols in “Information Security”, DNA sequencing and tandem mass spectrum analysis algorithms for “Bioinformatics”. Furthermore, we also study several algorithms that are used for search engines and data structure indexing, such as suffix trees and suffix arrays for “String matching”. These fields require extremely high-cost operations, which is why we concentrate on improving pre-exist algorithms’ performance and implementing them efficiently.
- Information Security - Bioinformatics - String Matching - Data Structure Indexing
The goal of research at the RTCC Lab is to explore and extend real-time system theories and techniques that will solve various problems that may arise in real world applications. Currently, RTCC Lab is especially interested in (1) real-time system design and analysis, (2) operating system kernel design and optimization, (3) software engineering approaches to real-time and embedded systems, and (4) various software issues in automotive systems.
- Operating Systems and Software Platform (Linux kernel, Android, Tizen) - Real-Time System Design and Analysis - Software Engineering for Embedded Systems - Multicore/Manycore Scalability - Vehicular Software Standard Platform and Architecture (Autosar)
Software Platform is a software environment that is used to write applications and run them. It includes software tools for developing the applications, as well as a runtime engine for executing the applications.
In Software Platforms Lab., we are working on Mobile Collaboration, IoT-Edge-Cloud Integrated Computing based on lots of software platforms including mobile platform, cloud platform, IoT platform and Edge platform. Specifically, we develop mobile platform technologies for smart device-based mobile collaboration, inter-platform collaboration technologies to exploit mobile and IoT devices for cloud computing. Our vision is to develop a novel software platform that supports IoT-Edge-Cloud Integrated Computing.
- Cloud computing platform - Mobile platform support for device-centric cloud computing - Mobile platform support for mobile collaboration - IoT-assisted Edge computing for IoT-Edge-Cloud integrated computing - Innovative IoT/Edge/Cloud services
Distributed and Cloud Computing(DCC) Lab in the Division of Computer Science and Engineering at Hanyang University is devoted to pursuing innovative research issues and cutting-edge technologies in the area of cloud computing. Our research interests span a range of state-of-the-art technologies related to cloud networking protocols, distributed and cloud middleware, and cloud platforms and applications. Some representative examples of the issues we are actively exploring include the following topics.
- Cloud system modeling, design and analysis - Data analytic frameworks (Hadoop, Spark, Storm, Flink) - Big data processing stacks and platforms - Cloud services and applications - Distributed algorithms and systems
- Location : H77(IT/BT Building) Room 402-1 - Tel :
Computer Security Laboratory at Hanyang University has been dedicated to conducting cutting-edge research in major areas of computer security. It includes operating system security, malware/botnet analysis, software reverse engineering, web security, software vulnerability analysis, digital media security, and IoT security.
- Operating System Security - Hacking/Reverse Engineering - Software Vulnerability Analysis - Digital Contents & Media Security - IoT Security
Software Security Lab has been working on various security technologies, including malware static/dynamic analysis, device firmware analysis, binary executable file analysis, vulnerability analysis, and so on. These technologies can be applied to various fields, such as malware defense, SCADA/Smart Grid security, binary file similarity analysis, etc. Alumni from the lab are currently working for companies such as AhnLab, the National Security Research Institute, Samsung Electronics, LG Electronics, Pasoo Inc., CJ, etc.
- Malicious Traffic and Code Analysis - BotNet Traffic Analysis and Countermeasures - SCADA System Security - RFID Security - Software Security
Our research interests are in computer graphics and animation, including physics-based animation, character animation, control algorithms, and robotics. We focus on designing computational models that capture and analyze human motions and to create highly realistic animations that interact with users and various environmental conditions in an intelligent and robust manner.
Computer vision is a research field that infers high-level information from images or videos. We aim to develop new algorithms and systems that can automate the visual tasks using computers, especially for understanding the environment and autonomous navigation. We are actively collaborating many research institutes and companies on various topics including 3D reconstruction of surroundings, localization, visual tracking and recognition in videos.
- Visual Object Tracking - 3D Reconstruction from Videos - Visual SLAM and Localization - Visual Autonomous Navigation - Deep Learning for Visual Processing
Human-Computer Interaction Lab (HCI Lab) aims to innovate the quality of human life and lead future technologies by understanding human-computer interactions and human factors. These goals will be achieved with the computer science technologies that include virtual reality, graphics, and robotics. We also aim to understand the cognition, emotions, behaviors, brain, and bio-signal for people with/without handicaps.
- Virtual Reality Technologies and its applications - Human-Computer/Robot/Vehicle Interaction and its applications - Eye-tracking and Body-tracking - Brain Science and Medical Software - Serous Games
Our research group works on the mining of large-scale data obtained from biological and medical samples. As we move toward this objective, we are developing new computational methods and systems that are based on machine learning, probabilistic model, string pattern matching, and distributed computing. In addition to advancing the frontiers of bioinformatics research. These efforts should also help elucidate the relationships between genotype and phenotype, which are of immediate relevance to human disease diagnosis and therapeutics..
Recent advancements in hardware technologies enable vendors to build high-end computing platforms with unprecedented computing power and storage capacity. Despite these cutting-edge technologies, the software systems were designed decades ago and have been showing their limitations in how much they can exploit available hardware resources, thus leading to resource over-provisioning problems. Multicore operating systems Lab seeks out innovative solutions that will make legacy software scalable on multicore-based high-end computing platforms. Although research topics are open, the ongoing research projects are high-performance database systems and fast storage systems based on non-volatile memory.
- Operating systems (Linux kernel) - Database systems (Relational DBMS, NoSQL storage) - Distributed systems - High-performance transaction processing systems