연세대학교 계산과학공학

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Research

Research Labs

Applied Mathematics and Computing (AMC) Lab

Professor  Eunjung Lee

We develop mathematical theories and algorithms that can be used in various applications.

  • Research interests include;
  •    •  Numerical analysis
  •    •  Finite element method
  •    •  Algorithm development for quantum devices
  •    •  Medical imaging with machine learning algorithms

 

 

Computational Methods in Medical Engineering (CMME) Lab

Professor  Kyungho Yoon

The CMME Lab focuses on developing breakthrough computational methods and their applications for digital/smart healthcare system.

  • Research interests include;
  •    •  AI powered digital/smart therapeutics
  •    •  Physics informed medical twin system
  •    •  Advanced numerical technique

 

 

Deep Learning for Medical Image Analysis (MI) Lab

Professor  Jin Keun Seo

Our research aims to bridge the gap between theory and practice by providing insights into the various interfaces among mathematical theories, scientific computation and visualization, and artificial intelligence. We bring together different disciplines including mathematics, biomedical engineering, machine learning, and medicine to explore innovative approaches on medical image analysis, digital health, and biosignal analysis.

  • Research interests include;
  •    •  Medical image analysis in CT, MRI, and ultrasound
  •    •  Digital health; digital dentistry and health informatics
  •    •  Biosignal analysis; Bioimpedance

 

 

Machine Intelligence & Data Science (MIDaS) Lab

Professor  Won-Yong Shin

The MIDaS Lab aims to develop state-of-the-art machine learning and computing methods by tackling real-world data science problems. 

  • Research interests include;
  •    •  Graph & social network analysis
  •    •  Information retrieval
  •    •  Learning-based design
  •    •  Healthcare informatics

 

 

Mathematical Biology Lab

Professor  Jeehyun Lee

We develop mathematical models and theoretical tools for problems in the fields of epidemiology and biology.

  • Research interests include;
  •    •  Mathematical epidemiology
  •    •  Mathematical biology
  •    •  Control and optimization
  •    •  Scientific computing

 

 

Multi-Physics Modeling and Computation (MPMC) Lab

Professor  Jung-Il Choi

We develop physics-based, data-driven modeling and computing techniques for multi-physics and multi-scale problems in energy and environmental applications.

  • Research interests include;
  •    •  Advanced computational fluid dynamics
  •    •  Physics-guided deep learning
  •    •  Simulation-based digital twin techniques
  •    •  Urban wind and thermal environments
  •    •  Battery modeling and diagnostic algorithms

 

 

Numerical Analysis and Scientific Computing Lab

Professor  Eun-Jae Park

We develop novel computational algorithms and mathematical tools to address fundamental scientific and engineering problems. In particular, we consider Polygonal Staggered Discontinuous Galerkin methods, Polygonal mesh generation via machine learning, finite volume methods, adaptive FEM for elliptic and parabolic equations and their applications to Navier-Stokes equations.

  • Research interests include;
  •    •  Flows in porous media
  •    •  Computational fluid dynamics
  •    •  Solid mechanics

 

 

TURBULENCE Lab

Professor  Changhoon Lee

We study the fundamentals and applications of turbulence using computational fluid dynamics and deep learning.

  • Research interests include;
  •    •  Particle-laden turbulence
  •    •  Deep learning of turbulence
  •    •  Computational fluid dynamics algorithms
  •    •  Energy and environmental applications