| Radhar: Human activity recognition from point clouds generated through a millimeter-wave radar AD Singh, SS Sandha, L Garcia, M Srivastava Proceedings of the 3rd ACM Workshop on Millimeter-wave Networks and Sensing …, 2019 | 273 | 2019 |
| Machine learning for microcontroller-class hardware-a review SS Saha, SS Sandha, M Srivastava IEEE Sensors Journal, 2022 | 157 | 2022 |
| Enabling edge devices that learn from each other: Cross modal training for activity recognition T Xing, SS Sandha, B Balaji, S Chakraborty, M Srivastava Proceedings of the 1st International Workshop on Edge Systems, Analytics and …, 2018 | 57 | 2018 |
| Deep convolutional bidirectional LSTM based transportation mode recognition JV Jeyakumar, ES Lee, Z Xia, SS Sandha, N Tausik, M Srivastava Proceedings of the 2018 ACM international joint conference and 2018 …, 2018 | 47 | 2018 |
| Mango: A python library for parallel hyperparameter tuning SS Sandha, M Aggarwal, I Fedorov, M Srivastava ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 46 | 2020 |
| A multi-sensor process for in-situ monitoring of water pollution in rivers or lakes for high-resolution quantitative and qualitative water quality data S Randhawa, SS Sandha, B Srivastava 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and …, 2016 | 41 | 2016 |
| Tinyodom: Hardware-aware efficient neural inertial navigation SS Saha, SS Sandha, LA Garcia, M Srivastava Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2022 | 37 | 2022 |
| Crowd-pan-360: Crowdsourcing based context-aware panoramic map generation for smartphone users V Raychoudhury, S Shrivastav, SS Sandha, J Cao IEEE Transactions on Parallel and Distributed Systems 26 (8), 2208-2219, 2014 | 25 | 2014 |
| In-database Distributed Machine Learning: Demonstration using Teradata SQL Engine S Sandha, W Cabrera, M Al-Kateb, S Nair, M Srivastava 45th International Conference on Very Large Data Bases (VLDB), 2019 | 23 | 2019 |
| Exploiting Smartphone Peripherals for Precise Time Synchronization SS Sandha, J Noor, FM Anwar, M Srivastava 2019 IEEE International Symposium on Precision Clock Synchronization for …, 2019 | 22 | 2019 |
| Time awareness in deep learning-based multimodal fusion across smartphone platforms SS Sandha, J Noor, FM Anwar, M Srivastava 2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design …, 2020 | 21 | 2020 |
| Auritus: An open-source optimization toolkit for training and development of human movement models and filters using earables SS Saha, SS Sandha, S Pei, V Jain, Z Wang, Y Li, A Sarker, M Srivastava Proceedings of the ACM on interactive, mobile, wearable and ubiquitous …, 2022 | 18 | 2022 |
| Deep convolutional bidirectional lstm for complex activity recognition with missing data SS Saha, SS Sandha, M Srivastava Human Activity Recognition Challenge, 39-53, 2020 | 18 | 2020 |
| Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays SS Sandha, L Garcia, B Balaji, FM Anwar, M Srivastava Proceedings of Machine Learning Research (PMLR), 155:1066-1083, 2021 | 16 | 2021 |
| Neural-kalman gnss/ins navigation for precision agriculture Y Du, SS Saha, SS Sandha, A Lovekin, J Wu, S Siddharth, M Chowdhary, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 9622-9629, 2023 | 15 | 2023 |
| Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production SS Sandha, M Aggarwal, SS Saha, M Srivastava Third IEEE International Conference on Cognitive Machine Intelligence, 10, 2021 | 13 | 2021 |
| Complex event processing of health data in real-time to predict heart failure risk and stress SS Sandha, M Kachuee, S Darabi arXiv preprint arXiv:1707.04364, 2017 | 12 | 2017 |
| Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras SS Sandha, B Balaji, L Garcia, M Srivastava Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 11 | 2023 |
| Quick question: Interrupting users for microtasks with reinforcement learning BJ Ho, B Balaji, M Koseoglu, S Sandha, S Pei, M Srivastava arXiv preprint arXiv:2007.09515, 2020 | 11 | 2020 |
| TinyNS: Platform-aware neurosymbolic auto tiny machine learning SS Saha, SS Sandha, M Aggarwal, B Wang, L Han, JDG Briseno, ... ACM Transactions on Embedded Computing Systems 23 (3), 1-48, 2024 | 10 | 2024 |
Mani SrivastavaProfessor of Electrical & Computer Engineering, and Professor of Computer Science, UCLAEmail verificata su ucla.edu