During the given one-year research period, I plan to develop a data-driven model integrating the physical model of infrastructure vulnerable to hazard and artificial intelligence machine learning algorithms to offer precautions and suggestions to resist natural hazards and enhance infrastructure flood resilience for the southern Lake Michigan communities. The proposed research targets to provide coastal communities with on-time and accessible suggestions to resist flooding attacks, support coastal industrial development without interference, give organizations reasonable, efficient recommendations to minimize the flooding impact on infrastructure, and offer the government customized design advice for infrastructure in the southern Lake Michigan region. Most importantly, this research will call public attention to the resilience of coastal communities and infrastructure.

Our overall goal is to provide quantitative  descriptions of species characteristics that increase the probability of successful invasion.

To evaluate the effect of culture temperature on growth, survival, and body composition of largemouth bass.

• Develop a suite of candidate functional indicators to identify human impacts to Great Lakes wetlands and characterize the functional nature of these systems

The objective of this project is to develop a rapid, sensitive assay for detecting the exposure of fishes to carcinogenic polycyclic aromatic hydrocarbons (PAHs) in contaminated aquatic ecosystems.

• Examine drinking water disinfection byproducts for ability to kill mammalian cells and damage mammalian DNA
• Compare results to published databases that include carcinogens