Hari Prasanna Das
Hari Prasanna Das
PhD Candidate in Electrical Engineering and Computer Sciences, UC Berkeley
Verified email at - Homepage
Cited by
Cited by
Personal thermal comfort models with wearable sensors
S Liu, S Schiavon, HP Das, M Jin, CJ Spanos
Building and Environment 162, 106281, 2019
Consensus Adversarial Domain Adaptation
H Zou, Y Zhou, J Yang, H Liu, HP Das, CJ Spanos
AAAI Conference on Artificial Intelligence 2019, 2019
WiFi and vision multimodal learning for accurate and robust device-free human activity recognition
H Zou, J Yang, H Prasanna Das, H Liu, Y Zhou, CJ Spanos
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Personal thermal comfort models based on physiological parameters measured by wearable sensors
S Liu, M Jin, HP Das, CJ Spanos, S Schiavon
10th Windsor Conference: Rethinking Comfort, 2018
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data
HP Das, R Tran, J Singh, X Yue, G Tison, A Sangiovanni-Vincentelli, ...
AAAI Conference on Artificial Intelligence 2022, 2022
Development of a micro-phasor measurement unit for distribution system applications
HP Das, AK Pradhan
Power Systems Conference (NPSC), 2016 National, 1-5, 2016
Design, benchmarking and explainability analysis of a game-theoretic framework towards energy efficiency in smart infrastructure
IC Konstantakopoulos, HP Das, AR Barkan, S He, T Veeravalli, H Liu, ...
arXiv preprint arXiv:1910.07899, Workshop on Tackling Climate Change with …, 2019
A novel graphical lasso based approach towards segmentation analysis in energy game-theoretic frameworks
HP Das, IC Konstantakopoulos, AB Manasawala, T Veeravalli, H Liu, ...
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
BISCUIT: Building Intelligent System CUstomer Investment Tool
M Jin, R Jia, HP Das, W Feng, C Spanos
10th International Conference on Applied Energy (ICAE), 2018
Climate Change and AI. Recommendations for Government Action
P Clutton-Brock, D Rolnick, PL Donti, L Kaack, T Maharaj, AS Luccioni, ...
GPAI, Climate Change AI, Centre for AI & Climate, 2021
Time series-based deep learning model for personal thermal comfort prediction
A Chennapragada, D Periyakoil, HP Das, CJ Spanos
Proceedings of the thirteenth ACM international conference on future energy …, 2022
Dimensionality reduction flows
HP Das, P Abbeel, CJ Spanos
arXiv preprint arXiv:1908.01686, 1-10, 2019
Unsupervised personal thermal comfort prediction via adversarial domain adaptation
HP Das, S Schiavon, CJ Spanos
Proceedings of the 8th ACM International Conference on Systems for Energy …, 2021
Do Occupants in a Building exhibit patterns in Energy Consumption? Analyzing Clusters in Energy Social Games
HP Das, I Konstantakopoulos, AB Manasawala, T Veeravalli, H Liu, ...
Multi-source few-shot domain adaptation
X Yue, Z Zheng, HP Das, K Keutzer, AS Vincentelli
arXiv preprint arXiv:2109.12391, 2021
Environmental exposures in singapore schools: An ecological study
D Periyakoil, HP Das, C Miller, CJ Spanos, N Prata
International journal of environmental research and public health 18 (4), 1843, 2021
Machine Learning empowered Occupancy Sensing for Smart Buildings
H Zou, HP Das, J Yang, Y Zhou, C Spanos
CDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training
HP Das, R Tran, J Singh, YW Lin, CJ Spanos
Workshop on Machine Learning for Data: Automated Creation, Privacy, Bias …, 2021
Machine learning for smart and energy-efficient buildings
HP Das, YW Lin, U Agwan, L Spangher, A Devonport, Y Yang, J Drgoňa, ...
Environmental Data Science 3, e1, 2024
Focus on what matters: Improved feature selection techniques for personal thermal comfort modelling
M Shajalal, M Bohlouli, HP Das, A Boden, G Stevens
Proceedings of the 9th ACM International Conference on Systems for Energy …, 2022
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