Functional-coefficient models with a periodic component are proposed for short-term streamflow forecasting.

A highly competitive research environment with increasingly limited research funding has created a “Publish or Perish” attitude among scientists who are judged on the quantity rather than quality of their research articles.

Variable density low Mach (VDLM) flows are frequently encountered in many natural and engineering applications, such as atmosphere convection, ocean circulation, premixed and diffusion flame, fires, and multiphase or flows.

The past decades have witnessed the dramatic technology renovation, and advanced industrial technology significantly improves the quality of our life.

Jointly organized by the HKUST Big Data Institute and Division of Life Science, the workshop aims to discuss the most advanced progress in the area of adapting AI & Data techniques in Biomedicine and Biochemistry.