Hari Prasanna Das

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Costas SpanosProfessor of Electrical Engineering and Computer Sciences, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Stefano SchiavonProfessor of Architecture and Civil & Environmental Engineering, UC BerkeleyAdresse e-mail validée de berkeley.edu
Han ZouGenAI, MetaAdresse e-mail validée de ntu.edu.sg
Shichao LiuWorcester Polytechnic Institute (WPI)Adresse e-mail validée de wpi.edu
Ming JinVirginia TechAdresse e-mail validée de vt.edu
Tanya VeeravalliUniversity of Illinois, Urbana-ChampaignAdresse e-mail validée de illinois.edu
Ioannis C. KonstantakopoulosSenior Software Engineer - Machine Learning (AI) @ Meta - IntegrityAdresse e-mail validée de fb.com
Alberto Sangiovanni VincentelliProfessor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Geoffrey H Tison MD, MPHDivision of Cardiology, University of California, San FranciscoAdresse e-mail validée de ucsf.edu
Pieter AbbeelUC Berkeley | CovariantAdresse e-mail validée de cs.berkeley.edu
Alexander BodenHochschule Bonn-Rhein-SiegAdresse e-mail validée de h-brs.de
Adrian ChongNational University of SingaporeAdresse e-mail validée de nus.edu.sg
Jan DrgonaPacific Northwest National Laboratory, Richland, WA, United StatesAdresse e-mail validée de pnnl.gov
Ruoxi JiaAssistant Professor, Virginia TechAdresse e-mail validée de vt.edu
Lynn H. KaackHertie SchoolAdresse e-mail validée de hertie-school.org
David RolnickMcGill University, Mila Quebec AI InstituteAdresse e-mail validée de cs.mcgill.ca
Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIAdresse e-mail validée de mit.edu
Kurt KeutzerProfessor of the Graduate School, EECS, University of California, BerkeleyAdresse e-mail validée de berkeley.edu
Clayton MillerNational University of SingaporeAdresse e-mail validée de nus.edu.sg
Kari MäkiAdresse e-mail validée de vtt.fi

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Hari Prasanna Das

PhD Candidate in Electrical Engineering and Computer Sciences, UC Berkeley

Adresse e-mail validée de berkeley.edu - Page d'accueil

Generative AI Machine Learning Deep Learning Computer Vision Smart Buildings


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Personal thermal comfort models with wearable sensors S Liu, S Schiavon, HP Das, M Jin, CJ Spanos Building and Environment 162, 106281, 2019	297	2019
Consensus Adversarial Domain Adaptation H Zou, Y Zhou, J Yang, H Liu, HP Das, CJ Spanos AAAI Conference on Artificial Intelligence 2019, 2019	96	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	94	2019
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	58	2022
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	55	2018
Development of a micro-phasor measurement unit for distribution system applications HP Das, AK Pradhan Power Systems Conference (NPSC), 2016 National, 1-5, 2016	34	2016
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	28	2019
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	28	2019
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	21	2024
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	19	2021
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	19	2018
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	18	2022
Multi-source few-shot domain adaptation X Yue, Z Zheng, HP Das, K Keutzer, AS Vincentelli arXiv preprint arXiv:2109.12391, 2021	15	2021
Dimensionality reduction flows HP Das, P Abbeel, CJ Spanos arXiv preprint arXiv:1908.01686, 1-10, 2019	15	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	12	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, ...	11*	2020
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	10	2021
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	10	2021
Machine Learning empowered Occupancy Sensing for Smart Buildings H Zou, HP Das, J Yang, Y Zhou, C Spanos	10	2019
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	7	2022

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