Abhishek Anand

I am a postdoctoral research scientist in Westervelt Aerosol Lab in Lamont-Doherty Earth Observatory at Columbia Climate School, Columbia University. My research interets include building machine/deep learning models for estimating air pollutants using satellite remote sensing datasets, validated with ground-level sensors in sub-Saharan Africa, and investigate correlation between air pollution and socioeconomic disparities. I graduated with Ph.D. in Mechanical Engineering from Carnegie Mellon University, where I worked on developing low-cost techniques to measure and predict atmospheric particulate matter, and using these air pollution data to identify emission sources. I earned my M.Phil. and M.Sc. from Hong Kong University of Science and Technology and B.Tech. in Civil Engineering from Indian Institute of Technology Delhi in New Delhi, India.

Education

Ph.D., Carnegie Mellon University, Pittsburgh. 2024

M.Phil., Hong Kong University of Science and Technology. 2020

M.Sc., Hong Kong University of Science and Technology. 2017

B.Tech., Indian Institute of Technology Delhi. 2015

Honors & Awards

Philip and Marsha Dowd Fellowship, CMU. 2022-2023

Milton Shaw Ph.D. Research Award, CMU. 2022

Awardee for the 8th Global Young Scientists Summit, Singapore. 2020

Hong Kong Government Innovation and Technology Fund Internship Award. 2018

M.Sc. Excellent Student Scholarship, HKUST. 2017

Entrance Scholarship, HKUST. 2016

Ministry of Human Resources Development Scholarship, IIT Delhi. 2011-2015

Anand, A., Farimani, A. B., Presto, A., et al. A novel deep learning approach for forecasting daily PM2.5 using GEOS-CF parameters and low-cost sensor network. (*Under Preparation*)

Owusu-Tawiah, V., Annor, T., Muthee, C., Keller, C. A., Anand, A., et al. Evaluation and bias correction of GEOS-CF model for PM2.5 predictions in sub-Saharan Africa using machine learning. (*Under review in Atmospheric Chemistry and Physics*)

Anand, A., Tour´e, N. D. E., Bahino, J., Gnamien, S., Hughes, A. F., Arku, R. E., ... & Presto, A. A. Low-cost hourly black carbon measurements at multiple cities in Africa. Environmental Science & Technology. 2024.

Wei, P., Hao, S., Shi, Y., Anand, A., et al. Combining Google traffic map with deep learning model to predict street-level traffic-related air pollutants in a complex urban environment. Environment International. 2024.

Anand, A., Kompalli, S., Ajiboye, E., & Presto, A. A. Estimation of hourly black carbon aerosol concentrations from glass fiber filter tapes using image reflectance-based method. Environmental Science: Atmosphere. 2023.

Wei, P., Brimblecombe, P., Yang, F., Anand, A., et al. Determination of local traffic emission and non-local background source contribution to on-road air pollution using fixed-route mobile air sensor network. Environmental Pollution. 2021.

Wei, P., Sun, L., Anand, A., Zhang, Q., et al. Development and evaluation of a robust temperature sensitive algorithm for long term NO2 gas sensor network data correction. Atmospheric Environment. 2020.

Anand, A., Wei, P., et al. Protocol development for real-time ship fuel sulfur content determination using drone-based plume sniffing microsensor system. Science of The Total Environment. 2020.