In general, exploring and developing new mathematical, statistical, and machine learning approaches to solve transportation, supply chain and logistics complex problems are among my current and future research objectives. Moreover, I am open to conduct cutting-edge research ideas including those involving multi-discipline expertise to come up with new perspectives and solutions to existing complex problems. Relevant areas of my current and future research include: data mining & statistical analysis, decision-making supported by big data, transportation network analytics, project scheduling problems, machine learning algorithms for smart manufacturing, and accident analysis.