Introduction

• Data Frameworks and Platforms Laboratory (DFPL)'s current research directions are Data Mining and Internet of Things

• DFPL is interested in designing novel programming abstractions (Framework)

  • for enabling efficient large scale data processing

  • on state-of-the-art interesting problems where its resolution would be beneficial for real-world society

• DFPL is interested in engineering software platforms (Platform)

  • efficiently executing instances of the abstractions

Current Research Direction

• Temporal Graph Traversal

  • An approach to analyzing information diffusion over time

  • ChronoGraph (IEEE TKDE * 3, Link, Link, Link)

    • framework and platform-level support for efficient temporal graph traversals

• IoT traceability based on International Standard (GS1)

  • Prof. J. Byun, one and only South Korean contributor to GS1 EPCIS v1.2

  • Prof. J. Byun, an associate director of Auto-ID Labs. that firstly coins the concept of the Internet of Things

  • Prof. J. Byun, a main developer and maintainer of an open-source EPCIS system, Oliot EPCIS (GitHub, ESWA, Elsevier , Computers in Industry, Elsevier * 2)

  • Here is an educational client for Oliot EPCIS running in Sejong University (http://dfpl.sejong.ac.kr/epcis/home/index.html)

If you are interested in working in DFPL, please send an email to:

Prof. Jaewook Byun

jwbyun@sejong.ac.kr

Project

• NRF Project - Basic Research ( 2023.06-2026.02)

• IITP Project -  Digital twin-based smart city lab demonstration complex creation with KAIST, PSU, K-Water, etc. ( 2022.04-2025.12)

• NRF Project - Korea-Switzerland Innovation Program with ETH Zurich, University of Saint Gallan Link, (2019.11-2023.10) 

• NRF Project - Basic Research, (2020.6 - 2023.2)

• NRF Project - Open Energy Cloud Platform Link, (2020.3 - 2020.12) 

• NRF Project - International Research Collaboration with Fudan University, (2019 winter and 2020 summer)

• NRF Project - International Research Collaboration with ETH Zurich, (2018 winter and 2019 summer)

• NRF Project - First Time Research, ( 2018.9 - 2020.8)