| 2022 | AAAI | Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data. | Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey H. Tison, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos |
| 2022 | SENSYS | Improved dequantization and normalization methods for tabular data pre-processing in smart buildings. | Hari Prasanna Das, Costas J. Spanos |
| 2022 | SENSYS | Synthetic personal thermal comfort data generation: poster abstract. | Hari Prasanna Das, Costas J. Spanos |
| 2022 | SENSYS | Focus on what matters: improved feature selection techniques for personal thermal comfort modelling. | Md Shajalal, Milad Bohlouli, Hari Prasanna Das, Alexander Boden, Gunnar Stevens |
| 2021 | SENSYS | Unsupervised personal thermal comfort prediction via adversarial domain adaptation. | Hari Prasanna Das, Stefano Schiavon, Costas J. Spanos |
| 2019 | AAAI | Consensus Adversarial Domain Adaptation. | Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das, Costas J. Spanos |
| 2019 | CVPR | WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition. | Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou, Costas J. Spanos |
| 2019 | ICMLA | A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks. | Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu, Costas J. Spanos |