| Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns K Manohar, BW Brunton, JN Kutz, SL Brunton IEEE Control Systems Magazine 38 (3), 63-86, 2018 | 485 | 2018 |
| Data-driven aerospace engineering: reframing the industry with machine learning SL Brunton, J Nathan Kutz, K Manohar, AY Aravkin, K Morgansen, ... AIAA Journal 59 (8), 2820-2847, 2021 | 243 | 2021 |
| Sparse principal component analysis via variable projection NB Erichson, P Zheng, K Manohar, SL Brunton, JN Kutz, AY Aravkin SIAM Journal on Applied Mathematics 80 (2), 977-1002, 2020 | 172 | 2020 |
| Optimal sensor and actuator selection using balanced model reduction K Manohar, JN Kutz, SL Brunton IEEE Transactions on Automatic Control, 2021 | 107 | 2021 |
| Predicting shim gaps in aircraft assembly with machine learning and sparse sensing K Manohar, T Hogan, J Buttrick, AG Banerjee, JN Kutz, SL Brunton Journal of Manufacturing Systems, 2018 | 86 | 2018 |
| Randomized CP tensor decomposition NB Erichson, K Manohar, SL Brunton, JN Kutz Machine Learning: Science and Technology 1 (2), 025012, 2020 | 64 | 2020 |
| Optimized sampling for multiscale dynamics K Manohar, E Kaiser, SL Brunton, JN Kutz Multiscale Modeling & Simulation 17 (1), 117-136, 2019 | 53 | 2019 |
| Sparse-TDA: Sparse realization of topological data analysis for multi-way classification W Guo, K Manohar, SL Brunton, AG Banerjee IEEE Transactions on Knowledge and Data Engineering 30 (7), 1403-1408, 2018 | 39 | 2018 |
| Kernel analog forecasting: Multiscale test problems D Burov, D Giannakis, K Manohar, A Stuart Multiscale Modeling & Simulation 19 (2), 1011-1040, 2021 | 34 | 2021 |
| Environment identification in flight using sparse approximation of wing strain K Manohar, SL Brunton, JN Kutz Journal of Fluids and Structures 70, 162-180, 2017 | 29 | 2017 |
| PySensors: A Python package for sparse sensor placement BM de Silva, K Manohar, E Clark, BW Brunton, SL Brunton, JN Kutz arXiv preprint arXiv:2102.13476, 2021 | 20 | 2021 |
| Ultrasensitive capacitive sensor composed of nanostructured electrodes for human–machine interface T Li, V Sakthivelpathi, Z Qian, SJ Kahng, S Ahn, AB Dichiara, K Manohar, ... Advanced Materials Technologies 7 (10), 2101704, 2022 | 12 | 2022 |
| Data-driven sparse sensor placement K Manohar, BW Brunton, JN Kutz, SL Brunton arXiv preprint arXiv:1701.07569, 2017 | 11 | 2017 |
| Constrained optimization of sensor placement for nuclear digital twins N Karnik, MG Abdo, CE Estrada-Perez, JS Yoo, JJ Cogliati, RS Skifton, ... IEEE Sensors Journal, 2024 | 10 | 2024 |
| Distinct platelet F-actin patterns and traction forces on von Willebrand factor versus fibrinogen MY Mollica, KM Beussman, A Kandasamy, LM Rodríguez, FR Morales, ... Biophysical Journal 122 (18), 3738-3748, 2023 | 9 | 2023 |
| Data-induced interactions of sparse sensors AA Klishin, JN Kutz, K Manohar arXiv preprint arXiv:2307.11838, 2023 | 4 | 2023 |
| Optimal sensor placement with adaptive constraints for nuclear digital twins N Karnik, MG Abdo, CEE Perez, JS Yoo, JJ Cogliati, RS Skifton, ... arXiv preprint arXiv:2306.13637, 2023 | 3 | 2023 |
| Data-Driven Sensor Placement Methods K Manohar | 3 | 2018 |
| AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data‐driven control JN Kutz, SL Brunton, K Manohar, H Lipson, N Li AI Magazine 45 (1), 48-53, 2024 | 2 | 2024 |
| Leveraging Optimal Sparse Sensor Placement to Aggregate a Network of Digital Twins for Nuclear Subsystems. N Karnik, C Wang, PK Bhowmik, JJ Cogliati, SA Balderrama Prieto, ... Energies (19961073) 17 (13), 2024 | 1 | 2024 |
Steven L. BruntonProfessor, University of WashingtonVerified email at uw.edu