Interdisciplinary Program in

Computational Science and Technology


Introduction

Welcome to CST (Computational Science & Technology)! CST is an interdisciplinary graduate program in Seoul National University that was established in 2004. The aim of CST is to promote the development and exchange of the state-of-the-art knowledge of advanced computational theories and technologies in sciences and engineering among faculties and graduate students. CST is a broad multidisciplinary area that encompasses applications in science/engineering, applied mathematics, numerical analysis, and computer science. Computer modeling and computer simulations have become an important part of the research repertoire, supplementing (and in some cases replacing) experiments.

CST: Emerging and Growing Area

Until the 1950s when the computers in the modern sense began to be developed, the discoveries and achievements in knowledge of science and technology had been obtained with the aid of the two vehicles: "Experiment" and "Theory." With the appearance of von Neumann concept of modern computers, the third important vehicle, namely, "Computer Simulation," emerged and has been playing increasingly significant role in the realm of science and technology. As the computer technologies both in software and in hardware have been developing fast, the new technologies such as IT, NT, BT, ST, ET, and CT become more complex and interdisciplinary, of course, the importance of "Computer Simulation" exceeds those of "Experiment" and "Theory." The study and applications of "Computer Simulation" to science and engineering is the essence of CST, going from application area to computational results requires domain expertise, mathematical modeling, numerical analysis, algorithm development, software implementation, program execution, analysis, validation and visualization of results. CST involves all of these.

The Subjects of CST Research

The subjects of research of CST will be of two-fold. One is to develop rigorous and efficient computational modeling in science and engineering to compute application problems in real time using high-performance computers. The other is to develop innovative computational algorithms and analyze their error, convergence, stability, and performance.

The future challenging subjects of CST include computational modeling and simulation technologies in quantum chromodynamics (QCD), fusion research, computational chemistry (including environment and catalysis problems), and biological sciences. The following disciplines require the next generation of high-end computational technologies: accelerator physics, astrophysics and cosmology, aviation, atmospheric science, geophysics, material science, and nanoscience.

Courses in CST

The following are samples of the courses offered in CST program.

    - Scientific Visualization
    - Advanced Programming for Scientific Computing
    - Parallel Scientific Computation
    - Scientific Computational Modeling
    - Data Structure & Algorithms for Scientific Computation
    - Advanced Matrix Computation
    - Numerical Methods for Ordinary Differential Equations
    - Numerical Methods for Partial Differential Equations
    - Topics in Advanced Scientific Computation
    - Topics in Advanced Parallel Computation
    - Topics in Advanced Computational Modeling
    - Reading and Research

In addition, participating faculties and committee will guide students to take courses offered by other related departments or programs, which are necessary to complete the course and research works in CST.

Career

Successful students can find academic or industrial jobs in universities, industries, and research institutes that need systematic knowledge in computational modeling and up-to-date technologies in high-performance computing.

Homepage

http://cst.snu.ac.kr/

Research area

    - Computational Biology
    - Computational Chemistry
    - Computational Mechanics
    - Computational Oceanography
    - Computational Physics
    - Computer Vision and Graphics
    - Environmental Engineering

Participating Faculty List

□ Mathematics

Myungjoo Kang(UCLA), Numerical Analysis and Scientific Computation
Dongwoo Sheen(Purdue Univ), Numerical Analysis and Scientific Computation

□ Statistics

Sinsup Cho(Univ of Wiscosin), Time series, Computational Statistics
Youngjo Lee(Iowa State Univ), Generalized Linear Models, Biometrics
Sung Hyun Park(North Carolina State Univ), Quality Control, Regression Analysis, Response of Surface Analysis, Statistical Processing Control
Taesung Park (Univ of Michigan), Repeated, Categorical, Incomplete Data, Biometrics

□ Physics

Moo Young Choi (Stanford Univ), Mesoscopic quantum phenomena
Jisoon Ihm (UC Berkeley), Carbon Naotubes, Macromolecule
Byungnam Kahng (Boston Univ), Statistical and Computational Physics
Doochul Kim(Johns Hopkins Univ), Critical phenomena, Integrable lattice models
Weonjong Lee(Columbia Univ), High Energy Theory
Dong-Pil Min(Univ of Paris), Chiral perturbation theory, neutron star
Jaejun Yu (North Western Univ), Electronic structure theory

□ Chemistry

Sangyoub Lee(Harvard Univ), Computational Chemistry
Seokmin Shin (Univ of Chicago), Computational Chemistry
Whanchul Shin (Univ of Pittsburgh), Computational Chemistry

□ Biology

Jongsik Chun (Univ of Newcastle upon Tyne), Biotechnology
Eun Ju Lee (Univ of Manitoba), Restoration Ecology, Forest Ecology, Climate Change

□ Earth & Enviornmental Sci.

Chang-Hoi Ho `(Seoul National Univ), Physics of Weather
Seung Soo Hong (SUNY), Celestial matters
In-Sik Kang (Oregon State Univ), Climate Dynamics
Jun-Mo Kim (The Pennsylvania State Univ), Geoynamics
Dong-Kyou Lee (Univ of Wisconsin), Numerical Weather Prediction
Hyung Mok Lee(Princeton Univ), Theoretical Astrophysics
Kang-Kun Lee (Purdue Univ), Hydrogeological Environment
Wooil Moon (British Columbia ), Satellite Geophysics
Soon-Chang Yoon(Oregon State Univ), Atmospheric Environment

□ Mechanical & Aerospace Eng.

Maenghyo Cho (Univ. of Washington), Smart Structure & Design
In-Seuck Jeung (Seoul National Univ.), Aerospace Propulsion & Combustion
Chongam Kim (Princeton Univ.), Aerodynamic Simulation
Seung Jo Kim (Univ. of Texas, Austin), Aerospace Structure
YongHyup Kim (Univ of Maryland), Aero-MEMS
Yoon Young Kim (Stanford Univ.), Integrated Design & Analysis of Structures

□ Naval Architecture & Ocean Eng.

Kwang June Bai (UC Berkeley), Numerical Ship Hydrodynamics
Seonho Cho (Univ. of Iowa), Computational Structural Mechanics
Tae-wan Kim (Arizona State Univ.), CAD, Computer Graphics
Kyu-Yeul Lee (Technical Univ. of Hannover), CAD, CAE, Computer Graphics

□ Electrical Engineering / Computer Sci. & Eng.

Soonhoi Ha (UC Berkeley), Parallel Processing
Song Yop Hahn (Institut National Polytechnique de Lorraine), Numerical Analysis of Electromagnetic
Fields, Optimal design of electric machines, Applications of superconductor
Hyun-Kyo Jung (Seoul National Univ.), Design and analysis of electric machines, Numerical analysis of electromagnetic fields
Jaejin Lee (Univ. of Illinois), Compiler, SMP
Hyoung-Joo Kim (Univ. of Texas, Austin), Object-oriented Systems, Database, eCommerce
Hyeongseok Ko (Univ. of Pennsylvania), Computer Graphics, Animation, Human Locomotion

□ Nuclear Eng.

Chang Hyo Kim (MIT), Nuclear Design & Analysis

□ Civil, Urban & Geosystem Eng.

Jonggeun Choi (Texas A&M), Flows in porous media, Multimedia programming and interface
Jae Kwan Kim (Rensselaer Polytechnic Institute), Structural Analysis
Haesung Lee (Univ. of Illinois), Crack Propagation and Prediction, Damage Detection
Changsoo Shin (Univ. of Tulsa), Seismic Exploration, Numerical Analysis

□ Materials Sci. & Eng.

Kyuhwan Oh (Seoul National Univ.), Material Deformation & Processing

□ Biomedical Eng.

Kwang Suk Park (Seoul National Univ.), Biomedical Signals & Information

□ Mathematics Education

Sang K. Chung (Univ. of Texas, Arlington), Numerical Analysis

□ Agricultural Biotechnology

Joon-Ho Lee (Louisiana State Univ.), Insect Population Ecology, Entomology, Food web dynamic modeling

□Finance, Economy

Dong Hyun Ahn (New York Univ.), Finance, Economy


Any enquiry concerning the CST program should be directed to either any participating faculty member or Dongwoo Sheen.


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