## Te-Sheng Lin (林得勝)

### National Yang Ming Chiao Tung University, TW

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 for problems arising in fluid dynamics 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.

### 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

#### National Yang Ming Chiao Tung University

Feb 2021 – Present Hsinchu, TW

#### National Chiao Tung University

Aug 2020 – Jan 2021 Hsinchu, TW

#### National Chiao Tung University

Aug 2014 – Jul 2020 Hsinchu, TW

#### Loughborough University

Dec 2012 – Jul 2014 Loughborough, UK

#### Loughborough University

Jun 2012 – Dec 2012 Loughborough, UK

# Recent Publications

### Spontaneous locomotion of phoretic particles in three dimensions

The motion of an autophoretic spherical particle in a simple fluid is analyzed. This motion is powered by a chemical species which is …

### 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 …

### Thin liquid films in a funnel

We explore flow of a completely wetting fluid in a funnel, with particular focus on contact line instabilities at the fluid front. …

### A Shallow Ritz Method for elliptic problems with Singular Sources

In this paper, a shallow Ritz-type neural network for solving elliptic problems with delta function singular sources on an interface is …

### A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems

In this paper, a new Discontinuity Capturing Shallow Neural Network (DCSNN) for approximating $d$-dimensional piecewise continuous …

# CV

Find my CV in PDF here.

# Recent Posts

### Multidimensional scaling

Multidimensional scaling, 簡稱 MDS, 是個資料分析或是資料降維的工具. 這裡我們要談一下從數學角度來說 MDS 的原理及做法, 更精確的說, 這裡講的是 classical MDS. 假設我們有 $n$ 筆 $p$ 維的資料,

### Sec.10.3 - 極座標曲線家族

Laboratory Project in Sec.10.3, Calculus by Stewart English version: Families of Polar Curves 在這個研究中，你將發現極座標曲線家族有趣又漂亮的形狀。同時，當常數改變時，你也會觀 …