Aim & Scope:

Conventionally, analysis plays a crucial role to justify PDE (partial differential equation) models which come from various fields of biology and physiology. However, due to the complexity of recent achievements in biological networks, protein structures and complex fluids, traditional PDE models are not sufficient to fit the need and new mathematical models have to be developed. Analytical techniques of variational and statistical methods may provide tools to derive mathematical models for the studies of structural bioinformatics, drug discovery and data mining. The main goal of the workshop is to discuss the biological models of PDE, the solving methods (analytical and numerical methods) and the relation of mathematical results and biological significance. The workshop will give an opportunity for researchers in related areas to share and discuss their current research ideas.

Invited Speakers:

Luigi Catacuzzeno (University of Perugia)

Shu-Wei Chang (National Taiwan University)

Chiun-Chuan Chen (National Taiwan University)

Ren-Shiang Chen (Tunghai University)

Cheng-Ying Chou (National Taiwan University)

Tom Chou (University of California Los Angeles)

Maria Rita D'Orsogna (California State University at Northridge)

Bob  Eisenberg (Rush University)

Nir Gavish (Israel Institute of Technology)

Tzyy-Leng Horng (Feng Chia University)

Chun-Hsiung Hsia (National Taiwan University)

Chia-Yu Hsieh (The Chinese University of Hong Kong)

Chiun-Chang Lee (National Tsing Hua University)

Chun Liu  (Illinois Institute of Technology)

Jinn-Liang Liu (National Tsing Hua University)

Min-Jhe Lu (Illinois Institute of Technology)

Kumar Saurabh (National Taiwan University)

Meng Li Tsai (National Ilan University)

Yuan-nan Young (New Jersey Institute of Technology)

Program Download: please click here.

Title & Abstract Download:please click here.