Prof.
Suntae Hwang
황선태 교수
Contact
Phone 02-910-4748
E-mail sthwang@kookmin.ac.kr
E-mail sthwang@kookmin.ac.kr
Education
학력
Ph.D. University of Manchester, Engineering
Career
경력
Present Professor, School of Software, Kookmin University
Present Director, SW-Centric University Project; Dean, College of Software Convergence
Present Director, SW-Centric University Project; Dean, College of Software Convergence
현재 국민대학교 소프트웨어학부 교수
현재 SW중심대학사업단장, 소프트웨어융합대학장, 소프트웨어융합대학원장
현재 SW중심대학사업단장, 소프트웨어융합대학장, 소프트웨어융합대학원장
Research Overview 연구 개요
Research spans grid computing, scientific data integration, environmental monitoring systems, and VLSI testing. Key contributions include cyberinfrastructure for real-time environmental monitoring, XML-based scientific data integration in grid environments, and computational grid scheduling.
그리드 컴퓨팅, 과학 데이터 통합, 환경 모니터링 시스템, VLSI 테스팅 분야를 연구합니다. 실시간 환경 모니터링을 위한 사이버인프라, 그리드 환경에서의 XML 기반 과학 데이터 통합, 컴퓨팅 그리드 스케줄링 등에 기여하였습니다.
Research Areas 연구 분야
- Grid Computing
- Scientific Data Integration
- Environmental Monitoring Systems
- Software Engineering
- 그리드 컴퓨팅
- 과학 데이터 통합
- 환경 모니터링 시스템
- 소프트웨어 공학
Major Achievements 주요 연구 성과
- Cyberinfrastructure-based real-time water temperature prediction system.
- PRAGMA Grid testbed deployment for scientific applications.
- G&C Lab data integration platform for grid environments.
Recent Publications 주요 논문
- K.Y. Lee, N. Chung, and S. Hwang, "Application of an artificial neural network (ANN) model for predicting mosquito abundances in urban areas," Ecological Informatics, Vol. 36, 2016.
- M. Jiang, J. Lee, K. Jeong, Z. Cui, B. Kim, S. Hwang, and Y.J. Choi, "A Data Stream-Based, Integrative Approach to Reliable and Easily Manageable Real Time Environmental Monitoring," International Journal of Distributed Sensor Networks, Vol. 11, 2015.
- Y. Choi, K. Jeong, D. Kim, J. Lee, S.B. Lim, S. Jung, D. Heo, S. Hwang, and O.-H. Byeon, "Glyco-MGrid: A Collaborative Molecular Simulation Grid for e-Glycomics," IEEE eScience, 2007.
- D. Kim, K. Jeong, S. Hwang, and K. Cho, "X-SIGMA: XML Based Simple Data Integration System for Gathering, Managing, and Accessing Scientific Experimental Data in Grid Environments," IEEE eScience, 2006.
- S. Hwang, E.-J. Im, and K. Jeong, "An Idle Compute Cycle Prediction Service for Computational Grids," International Conference on Computational Science, 2004.