| 2026 | CCGRID | Synthetic Data Generation for Storage Failure Prediction in Large-Scale Systems. | Chandranil Chakraborttii, Ana Luisa Veroneze Solrzano, Devesh Tiwari |
| 2024 | COMPSAC | MemFlex: A Hybrid Memory System to Boost Cost of Ownership in Data Centers. | Chandranil Chakraborttii, Mohammad Maminur Islam |
| 2024 | COMPSAC | Improving Insurance Fraud Detection With Generated Data. | Kiet Ha, Lucas Stowe, Chandranil Chakraborttii |
| 2024 | FDG | Towards Generating Surprising Content in 2D Platform Games. | Chandranil Chakraborttii, Lucas Ferreira |
| 2023 | COMPSAC | Leveraging Temporality of Data to Improve Failure Predictions for Solid State Drives in Data Centers. | Chandranil Chakraborttii, Jonas Boettner |
| 2023 | COMPSAC | Towards data generation to alleviate privacy concerns for cybersecurity applications. | Dhiraj Ganji, Chandranil Chakraborttii |
| 2021 | SYSTOR | Reducing write amplification in flash by death-time prediction of logical block addresses. | Chandranil Chakraborttii, Heiner Litz |
| 2020 | CLOUD | Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. | Chandranil Chakraborttii, Heiner Litz |
| 2018 | CLOUD | SSD QoS Improvements through Machine Learning. | Chandranil Chakraborttii, Vikas Sinha, Heiner Litz |
| 2017 | FDG | Towards generative emotions in games based on cognitive modeling. | Chandranil Chakraborttii, Lucas N. Ferreira, Jim Whitehead |
| 2016 | DIGRA | Design Lessons From Binary Fission: A Crowd Sourced Game for Precondition Discovery. | Kate Compton, Heather Logas, Joseph C. Osborn, Chandranil Chakraborttii, Kelsey Coffman, Daniel Fava, Dylan Lederle-Ensign, Zhongpeng Lin, Jo Mazeika, Afshin Mobramaein, Johnathan Pagnutti, Huascar Sanchez, Jim Whitehead, Brenda Laurel |