Research, background, and professional interests
Research, background, and professional interests
Jianbang Du, Ph.D. is an Assistant Research Scientist at the Texas A&M Transportation Institute whose work integrates transportation systems, environmental science, and quantitative analysis. With interdisciplinary training in Environmental Toxicology and Industrial and Systems Engineering, he has developed a research portfolio spanning transportation emissions, air quality, environmental modeling, multimodal transportation networks, transportation safety, and data-driven analysis. His work also incorporates big-data analytics, machine learning, and advanced computational methods to address complex transportation and environmental research questions.
His research is motivated by a broader interest in how transportation systems influence environmental quality, health, and public well-being. Drawing on experience in transportation planning, travel demand modeling, and multimodal network analysis, he applies rigorous analytical approaches to real-world challenges involving emissions, mobility, and environmental systems, with an emphasis on generating practical insight for research, planning, and decision-making.
Research Interest:
Transportation Emissions
Environment Modeling
Multimodal Transportation Network
Data Science, Machine Learning, and Big Data Analytics
Methods & Tools:
EPA MOVES
Python
SQL
Power BI
ArcGIS
Machine Learning
Professional Background:
Assistant Research Scientist, Texas A&M Transportation Institute
Postdoctoral Research Fellow, Upper Great Plains Transportation Institute, North Dakota State University
Research Assistant, Innovative Transportation Research Institute, Texas Southern University
Teaching Assistant, Texas Southern University
Education:
Ph.D., Environmental Toxicology, Texas Southern University
M.S., Environmental Toxicology, Texas Southern University
M.Eng., Industrial and System Engineering, Texas A&M University