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Name: Eeshan Basu
Tel: (617) 309-6859
Email: basu.e@northeastern.edu
Education:
• Ph.D. Student, Interdisciplinary Engineering, Northeastern University, Boston, MA, USA
• Master of Technology in Geoinformatics, Indian Institute of Engineering Science and Technology, Shibpur, West Bengal, India
• Bachelor of Technology in Civil Engineering, Techno India College of Technology (Maulana Abul Kalam Azad University of Technology), Kolkata, India
Research Interests & Specialties:
• Air Quality Modelling, which includes WRF-GHG, WRF-Chem-GHG
• Air Quality Data Analysis and Visualization (Python and R)
• Fate and transport of air pollutants
• Interaction between key meteorological variables, air pollutants, and greenhouse gases
Research Experience:
• Research Assistant, Northeastern University, Boston, MA, USA (2020-Present)
• Graduate Research Assistant, IIEST Shibpur, West Bengal, India (2018-2020)
Teaching Experience:
• Teaching Assistant, CIVE 5699 - Air Quality, Science, and Engineering Northeastern University, Boston, MA (Fall 2024) Conducted office hours, graded assignments and exams, and guided students in selecting course projects.
• Teaching Assistant, CIVE 3435 - Environmental Fate and Transport Northeastern University, Boston, MA (Spring 2022, Spring 2023) Graded assignments and provided constructive feedback, held office hours to address student inquiries, and reviewed common errors in homework to improve students’ academic performance.
Technical Skills:
• Application of WRF-GHG and WRF-Chem-GHG to simulate greenhouse gases and key air pollutants and meteorological variables
• Proficient in Autodesk AutoCAD 2D, Autodesk Revit, MS Word, MS Excel & MS PowerPoint
• Well-versed with ArcGIS, ErDAS Imagine, Tekla, Python, R
Publications:
• Basu, E., Zhang, Y., Wang, K., Schuch, D., Chen, X., Eckelman, M., Huang, K., Tong, D., Loughlin, D., & Ahmadov, R. (in preparation). Multiyear multiscale evaluation and future projections of CO2 using online-coupled WRF-GHG over the Contiguous U.S.
• Basu, E., Zhang, Y., Wang, K., Zhang, L., Ma, S., Tong, D., Loughlin, D., & Ahmadov, R. (in preparation). Multiscale modeling of historical and future air pollutants and greenhouse gases over the Contiguous U.S.
• Basu, E., Salui, C. L., Mukherjee, I., & Sau, D. (2025). Simulation of Ground-Level Particulate Matter Concentration with AOD and Related Meteorological Parameters: A Case Study on Kolkata by Random Forest and ANN. Aerosol Science and Engineering, 1-14.
• Basu, E., & Salui, C. L. (2021). Estimating Particulate Matter Concentrations from MODIS AOD Considering Meteorological Parameters Using Random Forest Algorithm. Spatial Modeling and Assessment of Environmental Contaminants: Risk Assessment and Remediation, 591-609.
Conferences:
• Basu, E., K. Wang, D. Schuch, X. Chen, & Y. Zhang, 2023, Multiyear and multiscale application of WRF-GHG over the Contiguous U.S., poster session presented at the AEESP 2023 Meeting, June 21, 2023, Boston, MA, USA.
• Basu, E., K. Wang, D. Tong, S. Ma, D. Loughlin, R. Ahmadov, Y. Zhang, 2024, Evaluation of Concurrent Multiscale Simulations of Air Pollutants and Greenhouse Gases with WRF-Chem-GHG over the Contiguous US, poster presentation at the CMAS 2024 Meeting, October 21, 2024, Chapel Hill, NC, USA.
• Basu, E., Y. Zhang, D. Tong, S. Ma, R. Ahmadov, 2025, Assessing the Influence of Anthropogenic Heating and Updated Emissions on Air Pollutants and Greenhouse Gas Predictions with WRF-Chem-GHG, June 2, 2025, Boulder, CO, USA
• Tong, D., S. Ma, B.-H. Baek, Y. Zhang, E. Basu, M. Cohen, C. Loughner, A. Stein, 2024, Concurrent High-Resolution (1km) Mapping of Anthropogenic Criteria Air Pollutants (CAPs) and Greenhouse Gases (GHGs) Emissions across the Contiguous United States, poster session presented at the AGU 2024, December 9, 2024, Washington DC, USA.
• Zhang, Y., K. Wang, X.-Y. Chen, D. Schuch, E. Basu, S.-Q. Ma, D. Tong, and R. Ahmadov, 2021, Development and Initial Application of WRF-Chem-GHGs: Integrated Modeling of Air Quality, Carbon, and Climate, oral presentation at the 20th Annual CMAS Conference (virtual), November 1-5.
• Zhang, Y., K. Wang, and E. Basu, 2023, High resolution modeling of air pollutants and greenhouse gases using WRF-Chem-GHGs, oral presentation at the Joint 3rd Street-in-Grid and Urban Air Quality Modeling Symposium and the 4th Street-in-Grid Model Training Workshop, Champs-sur-Marne, France, March 6 – 10.
• Zhang, Y., E. Basu, and K. Wang, 2024, Multi-Scale Modeling of Air Pollutants and Greenhouse Gases, invited presentation at the Workshop on the State of GHG and Climate Action, Boston, December 5.
Honors and Awards:
• Department of Civil and Environmental Engineering Fellowship Award, Northeastern University (2020)
Certifications:
• Machine Learning A-Z: Hands-On Python & R In Data Science from Udemy
• Data Science Career Path from Codecademy
• Python: Working with Predictive Analytics from LinkedIn Learning
Memberships:
• College Ambassador for Bentley Systems in my final year of Bachelors's.
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