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Te-Sheng Lin (林得勝)

Associate Professor

National Yang Ming Chiao Tung University, TW

About me

I am an associate professor at the Department of Applied Mathematics at National Yang Ming Chiao Tung University, Taiwan. My research focuses on developing analytical and computational tools and further communicating with scientists from other disciplines to solve practical engineering problems.

I received my Ph.D. degree in Applied Mathematics from the Department of Mathematical Sciences at New Jersey Institute of Technology, where I worked with Lou Kondic and Linda J. Cummings.

My list of publications in Google Scholar. Some preprints in arXiv.

I co-organize NYCU webinar on Scientific Machine Learning.

Interests

  • Modeling - Thin liquid films
  • Scientific computation
  • Machine learning

Education

  • PhD in Applied Mathematics, 2012

    New Jersey Institute of Technology, USA

  • M.S. in Applied Mathematics, 2004

    National Chung Cheng University, Taiwan

  • B.S. in Mathematics, 2002

    National Chung Cheng University, Taiwan

Appointments

 
 
 
 
 

Associate Professor

National Yang Ming Chiao Tung University

Feb 2021 – Present Hsinchu, TW
 
 
 
 
 

Associate Professor

National Chiao Tung University

Aug 2020 – Jan 2021 Hsinchu, TW
 
 
 
 
 

Assistant Professor

National Chiao Tung University

Aug 2014 – Jul 2020 Hsinchu, TW
 
 
 
 
 

Research Associate

Loughborough University

Dec 2012 – Jul 2014 Loughborough, UK
 
 
 
 
 

Marie Curie Experienced Researcher

Loughborough University

Jun 2012 – Dec 2012 Loughborough, UK

Recent Publications

An efficient neural-network and finite-difference hybrid method for elliptic interface problems with applications

A new and efficient neural-network and finite-difference hybrid method is developed for solving Poisson equation in a regular domain …

On the transition to dripping of an inverted liquid film

The transition to dripping in the gravity-driven flow of a liquid film under an inclined plate is investigated at zero Reynolds number. …

A shallow physics-informed neural network for solving partial differential equations on surfaces

In this paper, we introduce a mesh-free physics-informed neural network for solving partial differential equations on surfaces. Based …

A Reduced Model for a Phoretic Swimmer

We consider a 2D model of an autophoretic particle in which the particle has a circular shape and emits/absorbs a solute that diffuses …

A cusp-capturing PINN for elliptic interface problems

In this paper, we propose a cusp-capturing physics-informed neural network (PINN) to solve variable-coefficient elliptic interface …

CV

Find my CV in PDF here.

Recent Posts

Power method with Rayleigh Quotient

Power 迭代法目錄: 基本概念 Power iteration; inverse power method; shifted inver power method 找第二大的 eigenvalue deflation Rayleigh Quotient 迭代及其收斂 …

Power method - deflation

Power 迭代法目錄: 基本概念 Power iteration; inverse power method; shifted inver power method 找第二大的 eigenvalue deflation Rayleigh Quotient 迭代及其收斂 …

Conjugate gradient method - iterative method

共軛梯度法 (CG method, conjugate gradient method) 目錄: CG method - Direct mehtod 直接法 CG method - iterate mehtod 迭代法 For solving $Ax=b$, where …

Power method

Power 迭代法目錄: 基本概念 Power iteration; inverse power method; shifted inver power method 找第二大的 eigenvalue deflation Rayleigh Quotient 迭代及其收斂 …

Conjugate gradient method - direct method

共軛梯度法 (CG method, conjugate gradient method) 目錄: CG method - Direct mehtod 直接法 CG method - iterate mehtod 迭代法 For solving $Ax=b$, where …