Research, background, and professional interests
Research, background, and professional interests
Dr. Jianbang Du is an Assistant Research Scientist at the Texas A&M Transportation Institute (TTI), working at the intersection of transportation systems, emissions modeling, air quality planning, and environmental data science.
His work supports regulatory and planning applications across Texas, including State Implementation Plans, transportation conformity, Reasonable Further Progress demonstrations, VMT offset analyses, and air emissions reporting. He has extensive experience with EPA’s MOVES model, mobile source emissions inventory development, local input preparation, emission rate development, link-based and HPMS-based inventory methods, and QA/QC of large-scale modeling workflows.
Dr. Du’s recent work combines transportation activity data, environmental modeling, and computational analysis to support regional air quality and mobility planning. His technical expertise includes Python, SQL, database development, large-scale data processing, emissions modeling automation, and the integration of transportation and environmental datasets.
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