| 2024 | COMAD | A Framework for Emission Reduction in Scope 3 Climate Actions using Domain-adapted Foundation Model. | Ayush Jain, Manikandan Padmanaban, Jagabondhu Hazra, Shantanu Godbole, Komminist Weldemariam |
| 2024 | IGARSS | Improved Dissolved Organic Carbon Prediction in Diverse Inland Water Bodies: Utilizing Machine Learning and Remote Sensing. | Subhojit Mandal, Kamal Das, Mainak Thakur, Manikandan Padmanaban, Jagabondhu Hazra |
| 2023 | IGARSS | Machine Learning Based Ensemble of Satellite, Process Based Model and Static Calculators to Estimate Greenhouse Gas Emissions. | Kumar Saurav, Ranjini B. Guruprasad, Manikandan Padmanaban, Isaac W. Wambugu |
| 2023 | IGARSS | Machine Learning based Estimation of Column Averaged CO2 from OCO-2 Satellite Data. | Kamal Das, Ranjini Guruprasad, Manikandan Padmanaban |
| 2023 | IGARSS | Sustainable Farming - a Spatio-Temporal Adaptation of Late Blight Disease Prediction Using Multi-Modal Data. | Jagabondhu Hazra, Manikandan Padmanaban |
| 2022 | IGARSS | Increasing the Spatio-Temporal Resolution of OCO2 GHG Satellite Data. | Ranjini Guruprasad, Manikandan Padmanaban, Lloyd A. Treinish |
| 2020 | IGARSS | Scope, Extent, and Challenges of an Automated Global Crop Classification Model. | Sukanya Randhawa, Manikandan Padmanaban, UmaMaheswari Devi |
| 2019 | IGARSS | Soil Moisture Evaluation Using Machine Learning Techniques on Synthetic Aperture Radar (SAR) And Land Surface Model. | Kalyan Dasgupta, Kamal Das, Manikandan Padmanaban |