Conference Papers

• Predicting PM2.5 Air Pollution using Deep Learning with Multisource Satellite and Ground-based Observations and Meteorological and Wildfire Big Data

Muthukumar, P., Nagrecha, K., Cocom, E., Comer, D., Burga, I., Taub, J., Calvert, C., Holm, J., and Pourhomayoun, M.
In 101st Annual AGU Fall Meeting (2021).

• Real-time Spatiotemporal Air Pollution Prediction with Deep Convolutional LSTM through Satellite Image Analysis

Muthukumar, P., Cocom, E., Holm, J., Comer, D., Lyons, A., Burga, I., Hasenkopf, C., and Pourhomayoun, M.
16th International Conference on Data Science (ICDATA '20), 2020. Springer Nature, Transactions on Computer Science and Computational Intelligence, pp. 315-326, doi: 10.1007/978-3-030-71704-9_20.

• Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM

Muthukumar, P., Cocom, E., Nagrecha, K., Holm, J., Comer, D., Lyons, A., Burga, I., Calvert, C., and Pourhomayoun, M.
7th Annual Conference on Computational Science and Computational Intelligence (CSCI ’20), 2020. IEEE CPS, pp. 521-526, doi: 10.1109/CSCI51800.2020.00094.

• Sensor-Based Air Pollution Prediction using Deep CNN-LSTM

Nagrecha, K.,Muthukumar, P., Cocom, E., Holm, J., Comer, D., Lyons, A., Burga, I., Calvert, C., and Pourhomayoun, M.
7th Annual Conference on Computational Science and Computational Intelligence (CSCI ’20), 2020. IEEE CPS, pp. 694-696, doi: 10.1109/CSCI51800.2020.00127.

• A Stochastic Time Series Model for Predicting Financial Trends with NLP

Muthukumar, P., Zhong, J.
In Proceedings of the 5th Annual SCLMS (2020).

Journal Papers

• A Stochastic Time Series Model for Predicting Financial Trends using NLP

Muthukumar, P., Zhong, J.
The Journal of Financial Data Science (2021). Status: In Preparation.

• PM2.5 Air Pollution Prediction through Deep Learning using Multisource Meteorological, Wildfire, and Heat Data

Muthukumar, P., Nagrecha, K., Comer, D., Calvert, C., Amini, N., Holm, J., and Pourhomayoun, M.
Atmosphere, MDPI (2022). doi: 10.3390/atmos13050822.

• Ground-based and Remote Sensing Satellite PM2.5 Atmospheric Air Pollution Prediction through Deep Learning

Muthukumar, P., Cocom, E., Nagrecha, K., Comer, D., Burga, I., Taub, J., Calvert, C., Holm, J., and Pourhomayoun, M.
Air Quality, Atmosphere & Health, Springer (2021). doi: 10.1007/s11869-021-01126-3.

More information is available in my Google Scholar page.