Projects

Major Research Projects at Kwangwoon University

  • National Research Foundation of Korea (NRF), "An Integrated Framework for Financial AI based on Dynamic Hybrid Graph Model and Multi-agent Reinforcement Learning," June 2022 - Feb. 2025

  • National Research Foundation of Korea (NRF), "Integrated Processing and Analysis of Streaming and Stored Data in Distributed Environments," June 2018 - May 2022

  • National Institute of Environmental Research (NIER), "Nanomaterial Toxicity Prediction," May 2019 - Dec. 2019

  • Korea Electronics Technology Institute (KETI), "Accelerating Automatic Text Summarization," Sept. 2018 - Dec. 2018

  • National Institute of Environmental Research (NIER), "Nanomaterial Toxicity Risk Assessment," Apr. 2018 - Nov. 2018

  • Korea Electronics Technology Institute (KETI), "Automatic Text Summarization," Oct. 2017 - Dec. 2017

  • Korea Electronics Technology Institute (KETI), "Content Recommendation System," June 2016 - Jan. 2017

  • Seoul Business Agency, "High-Quality Named Entity Recognizer Based on Big Data," Apr. 2016 - Jan. 2017

  • National Research Foundation of Korea (NRF), "How Our Brain Plans Speech: Evidence from Brain-Computer Interface," Sept. 2015 - Aug. 2016

  • Korea Electronics Technology Institute (KETI), “Distributed Database Platform," July 2015 - Dec. 2015

  • National Research Foundation of Korea (NRF), “Intelligent Data Migration from RDBMS to NoSQL for IoT Environment," July 2015 - June 2018

  • Small and Medium Business Administration (SMBA), "Development of Open-Source Based Small Appliances for Small and Medium Business," May 2015 - April 2016

  • Small and Medium Business Administration (SMBA), "Personalized Intelligent Learning System Using Cloud Computing and Big Data Technologies," June 2014 - May 2015

Participation in Major Research Projects at SAP

Excellence of the institution: SAP is one of the largest software companies in the world and the market leader in enterprise application software and big data solution. The company's best known software products are its enterprise resource planning application (SAP ERP), its enterprise data warehouse solutions, and most recently, Sybase mobile products and in-memory computing appliance SAP HANA.

  • SAP, “High-Performance Analytic Appliance (HANA),” Aug. 2012 - Feb. 2013

SAP has introduced a new big data solution that powers the next generation of business applications. The SAP HANA database is an in-memory database that combines transactional data processing, analytical data processing, and application logic processing functionality in memory. SAP HANA removes the limits of traditional database architecture that have severely constrained how business applications can be developed to support real-time business. Since I joined SAP Labs Korea, I have contributed in developing a distributed HANA system and analyzing big data using the distributed HANA system.

Participation in Major Research Projects at KT

Excellence of the institution: KT is the largest telecommunications provider in Korea with extensive expertise in building and operating various kinds of Information & Communication Technology (ICT) infrastructure, including Public Switch Telephone Network (PSTN), broadband Internet network, WiBro network, Broadband convergence Network (BcN), IPTV, CDMA, WCDMA, and LTE.


  • KT, “Cloud-based IPTV,” Jan. 2011 - July 2012

The whole TV industry is moving towards cloud-based IPTV where applications are running remotely in the cloud. I have built a cloud computing hardware and software architecture for supporting big data analysis, SBC (Server-Based Computing), VDI (Virtual Desktop Infrastructure), Web applications, and Android applications. Our cloud-based IPTV service will be released soon to the market.


  • Ministry of Knowledge Economy (MKE) / KT, “Game Service Technology Based on Realtime Streaming,” Apr. 2010 - Mar. 2013

The growth of broadband networks is enabling streaming game services such as OnLive, Gaikai, and Otoy, which are also known as cloud-based gaming services or games-as-a-service. In these services, the game is running remotely on a server, and the game display and audio is captured, encoded, and streamed as video to the client end devices in real time. The client's game control is captured at the end device and streamed back to the game server. The services enable ubiquitous gaming on various low-end devices without requiring games to be installed locally. In this project, I have developed streaming game services for IPTVs, thin clients, PCs, and mobile devices.


  • Korea Internet & Security Agency (KISA) / KT, “Development of IPv6-Based Green IPTV Service Cloud Test Platform,” May. 2010 - Nov. 2010

In this project, we have developed cloud-based IPTV services utilizing the next generation Internet address (IPv6). In particular, I have implemented cloud-based web browsing and game services using VNC (virtual network computing) for IPTVs, PCs, iPhones, and iPads.

Participation in Major Research Projects at KAIST

  • Korea Science and Engineering Foundation (KOSEF), "Ubiquitous Database Engines," National Research Laboratory (NRL), July 2007 - Jan. 2010

The objective of this project is to develop technologies for the ubiquitous database engine, which is core system software installed in small or mobile devices. It provides efficient management/search capabilities for unstructured data (e.g., web pages, XML data, spatial data, and stream/sensor data), which are essential in supporting emerging future applications. It also supports next generation storage devices such as the flash memory and MEMS-based storage devices. A survey of research issues addressed in this work was published in ACM SIGMOD Record.

  • Korea Science and Engineering Foundation (KOSEF)/Advanced Information Technology Research Center (AITrc), “Distributed Multi-DBMSs (ODYSSEUS),” July 1999 - Feb. 2008.

In this project, we have developed the object-relational DBMS ODYSSEUS and extended it to a distributed multi-DBMS. In particular, I have designed and implemented the XML DBMS called Odysseus/XML (including XML storage system and XQuery processor), an XML keyword search engine, SQL3 features (e.g., subqueries), a massively-parallel web search engine handling billions of web pages, inverted index and text compression for large-scale search engines, part of a 64bit DBMS, and part of the optimization module for tightly coupling the DBMS with information retrieval (IR) features and spatial database features. The research results are published in renowned international journals and conferences.