Aidong Ding


PhD, Cornell University 1996

Area(s) of Expertise

Artificial neural networks,High-dimensional empirical linear prediction (HELP), Biostatistics, Prediction and Confidence Intervals

Research Interests

My research focuses on development and application of statistical methodology to solve problems in various scientific fields. My research activities up to today can be separated into following categories.

1. Industrial Statistics: Artificial Neural NetworksHigh-dimensional Empirical Linear Prediction (HELP)

2. Biostatistics: Statistical analysis of clinical trial data using HIV dynamic model, Survival analysis for correlated multiple survival times, Analysis of genetic micro-array data

3. Other statistics applications: Missing data imputation in Words of Mouth marketing, Sampling theory

Lab Website



439 Lake Hall

Automating Solutions to Side-Channel Attacks

Side-channel attacks are an emerging threat to embedded systems. As a result, mathematics professor Aidong (Adam) Ding and colleagues are creating a tool that automatically corrects for side-channel weaknesses.