Publications

    Pre-prints

  • Multi-source Few-shot Domain Adaptation [pdf][bibtex]
    Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto Sangiovanni Vincentelli
    arXiv preprint arXiv:2109.12391, 2021


  • Likelihood Contribution based Multi-scale Architecture for Generative Flows [pdf][bibtex]
    Hari Prasanna Das, Pieter Abbeel and Costas J. Spanos
    arXiv preprint arXiv:1908.01686v2, 2019


  • Design, Benchmarking and Explainability Analysis of a Game-Theoretic Framework towards Energy Efficiency in Smart Infrastructure [pdf][dataset/demo][bibtex]
    Ioannis C. Konstantakopoulos, Hari Prasanna Das, Andrew R. Barkan, Shiying He, Tanya Veeravalli, Huihan Liu, Aummul Baneen Manasawala, Yu-Wen Lin and Costas J. Spanos
    arXiv preprint arXiv:1910.07899, 2019

  • Journal Articles

  • Environmental Exposures in Singapore Schools: An Ecological Study [pdf][bibtex]
    Divya Periyakoil, Hari Prasanna Das, Clayton Miller, Costas J Spanos, Ndola Prata
    International Journal of Environmental Research and Public Health 18.4 (2021): 1843.


  • Personal thermal comfort models with wearable sensors [pdf][dataset][bibtex]
    Shichao Liu, Stefano Schiavon, Hari Prasanna Das, Ming Jin and Costas J. Spanos
    Building and Environment (2019), doi:10.1016/j.buildenv.2019.106281

  • Conference Proceedings

  • Unsupervised Personal Thermal Comfort Prediction via Adversarial Domain Adaptation [pdf][bibtex]
    Hari Prasanna Das, Stefano Schiavon, Costas J. Spanos
    In Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (Best Poster Award)


  • CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training [pdf][bibtex]
    Hari Prasanna Das, Ryan Tran, Japjot Singh, Yu-Wen Lin and Costas J. Spanos
    Workshop on Machine Learning for Data: Automated Creation, Privacy, Bias, International Conference on Machine Learning (ICML) 2021
    Workshop on Data-Efficient Machine Learning (DeMaL), Conference on Knowledge Discovery and Data Mining (KDD) 2021


  • Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data [pdf][bibtex]
    Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey Tison, Alberto Sangiovanni-Vincentelli Costas J. Spanos
    Workshop on Machine Learning for Preventing and Combating Pandemics, International Conference on Learning Representations (ICLR) 2021


  • Do Occupants in a Building exhibit patterns in Energy Consumption? Analyzing Clusters in Energy Social Games [pdf][slides]
    Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu and Costas J. Spanos
    Workshop on Tackling Climate Change with Machine Learning, Conference on Neural Information Processing Systems (NeurIPS) 2020


  • Understanding Distributions of Environmental Parameters for Thermal Comfort Study in Singapore [pdf][bibtex]
    Divya Periyakoil, Hari Prasanna Das and Costas J. Spanos
    In Proceedings of the Eleventh ACM International Conference on Future Energy Systems (e-Energy ’20), pp. 461–465. DOI:https://doi.org/10.1145/3396851.3402366


  • BISCUIT: Building Intelligent System CUstomer Investment Tools [pdf][slides]
    Ming Jin, Ruoxi Jia, Hari Prasanna Das, Wei Feng and Costas Spanos
    Workshop on Tackling Climate Change with Machine Learning, Internation Conference on Learning Representations (ICLR) 2020


  • Design, Benchmarking and Graphical Lasso based Explainability Analysis of an Energy Game-Theoretic Framework [pdf][poster]
    Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu and Costas J. Spanos
    Workshop on Tackling Climate Change with Machine Learning, Conference on Neural Information Processing Systems (NeurIPS) 2019


  • A Novel Graphical Lasso Based Approach Towards Segmentation Analysis in Energy Game-Theoretic Frameworks [pdf][bibtex]
    Hari Prasanna Das, Ioannis C. Konstantakopoulos, Aummul Baneen Manasawala, Tanya Veeravalli, Huihan Liu and Costas J. Spanos
    18th IEEE International Conference On Machine Learning And Applications (ICMLA), Boca Raton, FL, USA, 2019, pp. 1702-1709


  • Machine Learning empowered Occupancy Sensing for Smart Buildings [pdf][bibtex]
    Han Zou, Hari Prasanna Das, Jianfei Yang, Yuxun Zhou and Costas J. Spanos
    Climate Change + AI Workshop, International Conference on Machine Learning (ICML) 2019


  • WiFi and Vision Multimodal Learning for Accurate and Robust Device-Free Human Activity Recognition [pdf][bibtex]
    Han Zou, Jianfei Yang, Hari Prasanna Das, Huihan Liu, Yuxun Zhou and Costas J. Spanos
    Proceedings of the Multimodal Learning and Applications (MULA) Workshop, Conference on Computer Vision and Pattern Recognition (CVPR) 2019


  • Consensus Adversarial Domain Adaptation [pdf][bibtex]
    Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das and Costas J. Spanos
    Proceedings of the AAAI Conference on Artificial Intelligence 2019


  • BISCUIT: Building Intelligent System CUstomer Investment Tool [pdf][bibtex]
    Ming Jin, Ruoxi Jia, Hari Prasanna Das, Wei Feng and Costas Spanos
    Proceedings of the 10th International Conference on Applied Energy (ICAE) 2018


  • Personal thermal comfort models based on physiological parameters measured by wearable sensors [pdf][bibtex]
    Shichao Liu, Ming Jin, Hari Prasanna Das, Costas Spanos and Stefano Schiavon
    Proceedings of the Windsor Conference 2018, pp. 431–441

  • Undergraduate Publications


  • Development of a micro-phasor measurement unit for distribution system applications [pdf][bibtex][code]
    Hari Prasanna Das and Ashok Kumar Pradhan
    Proceedings of the 19th National Power Systems Conference (NPSC), 2016


  • Micro-Phasor Measurement Unit (μPMU) Development and its Applications [pdf][bibtex][code]
    Hari Prasanna Das
    B.Tech (Honors) Thesis