| 2022 | ICMLA | Real-Time Change Detection At the Edge. | Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai |
| 2020 | KDD | Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai |
| 2019 | ICDM | Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai |
| 2019 | ICMLA | Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ashwin Shashidharan, Benjamin Dutton, Ranga Raju Vatsavai |
| 2019 | IGARSS | Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors. | Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Jaime Puente |
| 2019 | IGARSS | Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition. | Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Ranga Raju Vatsavai |
| 2018 | ICDM | Machine Learning Approaches for Slum Detection Using Very High Resolution Satellite Images. | Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Nikhil Kaza, Eric Wibbels, Anirudh Krishna |
| 2016 | ICCS | Detecting Extreme Events in Gridded Climate Data. | Bharathkumar Ramachandra, Krishna Karthik Gadiraju, Ranga Raju Vatsavai, Dale P. Kaiser, Thomas P. Karnowski |
| 2014 | ER | Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation. | Krishna Karthik Gadiraju, Karen C. Davis, Paul G. Talaga |