| Occupancy sensing in buildings: A review of data analytics approaches H Saha, AR Florita, GP Henze, S Sarkar Energy and Buildings 188, 278-285, 2019 | 96 | 2019 |
| A novel multirobot system for plant phenotyping T Gao, H Emadi, H Saha, J Zhang, A Lofquist, A Singh, ... Robotics 7 (4), 61, 2018 | 54 | 2018 |
| Multimodal sensor fusion framework for residential building occupancy detection SY Tan, M Jacoby, H Saha, A Florita, G Henze, S Sarkar Energy and buildings 258, 111828, 2022 | 18 | 2022 |
| Battery-free camera occupancy detection system A Saffari, SY Tan, M Katanbaf, H Saha, JR Smith, S Sarkar Proceedings of the 5th International Workshop on Embedded and Mobile Deep …, 2021 | 18 | 2021 |
| A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment H Saha, F Fotouhi, Q Liu, S Sarkar Frontiers in Robotics and AI 9, 930486, 2022 | 8 | 2022 |
| For publication in 2019 acc a flexible framework for building occupancy detection using spatiotemporal pattern networks SY Tan, H Saha, AR Florita, GP Henze, S Sarkar 2019 American Control Conference (ACC), 5884-5889, 2019 | 8 | 2019 |
| Granger causality based hierarchical time series clustering for state estimation SY Tan, H Saha, M Jacoby, G Henze, S Sarkar IFAC-PapersOnLine 53 (2), 524-529, 2020 | 7 | 2020 |
| Whisper: wireless home identification and sensing platform for energy reduction M Jacoby, SY Tan, M Katanbaf, A Saffari, H Saha, Z Kapetanovic, ... Journal of Sensor and Actuator Networks 10 (4), 71, 2021 | 6 | 2021 |
| Few-shot deep learning for AFM force curve characterization of single-molecule interactions JR Waite, SY Tan, H Saha, S Sarkar, A Sarkar Patterns 4 (1), 2023 | 5 | 2023 |
| Conceptual design of an underwater robot H Saha 2015 International Conference on Man and Machine Interfacing (MAMI), 1-6, 2015 | 5 | 2015 |
| Few shot clustering for indoor occupancy detection with extremely low quality images from battery free cameras H Saha Iowa State University, 2021 | 4 | 2021 |
| Exploring Granger causality in dynamical systems modeling and performance monitoring H Saha, C Liu, Z Jiang, S Sarkar 2018 IEEE Conference on Decision and Control (CDC), 2537-2542, 2018 | 4 | 2018 |
| Learning State Switching for Multi-sensor Integration H Saha, SY Tan, Z Jiang, S Sarkar 2019 Sixth Indian Control Conference (ICC), 232-237, 2019 | 2 | 2019 |
| A perspective on multi-agent communication for information fusion H Saha, V Venkataraman, A Speranzon, S Sarkar NeurIPS 2019, Visually Grounded Interaction and Language (ViGIL), 2019 | 2 | 2019 |
| Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping H Saha, T Gao, H Emadi, Z Jiang, A Singh, B Ganapathysubramanian, ... Dynamic Systems and Control Conference 58288, V002T21A005, 2017 | 2 | 2017 |
| Data-driven performance monitoring of dynamical systems using Granger causal graphical models H Saha, C Liu, Z Jiang, S Sarkar Journal of Dynamic Systems, Measurement, and Control 142 (8), 081006, 2020 | 1 | 2020 |
| Information fusion for decision making H Saha Iowa State University, 2021 | | 2021 |
| Granger Causality Based Hierarchical Time Series Clustering for State Estimation A Florita, G Henze, SY Tan, H Saha, M Jacoby, S Sarkar National Renewable Energy Lab.(NREL), Golden, CO (United States), 2020 | | 2020 |
| Learning State Switching for Improved Exploration in Multi-sensor Environments H Saha, SY Tan, Z Jiang, S Sarkar | | 2019 |
| Navigation Strategies for a Multi-Robot Ground-Based Row Crop Phenotyping Platform T Gao, H Emadi, H Saha, J Zhang, A Lofquist, A Singh, ... Dynamic Systems and Control Conference 51913, V003T32A009, 2018 | | 2018 |
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State UniversityVerified email at iastate.edu
