Online kernel dynamic mode decomposition for streaming time series forecasting with adaptive windowing.
C. Salazar, K. Manohar, A.G. Banerjee.
arXiv preprint arXiv:2510.15404 (2025). [arxiv.org]
Reservoir computing for system identification and predictive control with limited data.
J.P. Williams, J.N. Kutz, K. Manohar.
arXiv preprint arXiv:2411.05016 (2024). [arxiv.org]
Data‑induced interactions of sparse sensors.
A.A. Klishin, J.N. Kutz, K. Manohar.
arXiv preprint arXiv:2307.11838 (2024). [arxiv.org]
Statistical mechanics of dynamical system identification.
A.A. Klishin, J. Bakarji, J.N. Kutz, K. Manohar.
Physical Review Research, 7(3), 033181 (2025). [journals.aps.org]
Extending the trapping theorem to provide local stability guarantees for quadratically nonlinear models.
M. Peng, A.A. Kaptanoglu, C.J. Hansen, J. Stevens‑Haas, K. Manohar, & S.L. Brunton.
Physics of Fluids, 37(10) (2025). [aip.org]
Data‑enabled stochastic iterative shape control for assembly of flexible structures.
M. Safwat, H. Chang, K. Yohannes, K. Manohar, S. Devasia.
ASME Letters in Dynamic Systems and Control, 6(1), 011002 (2026). [asmedigita...n.asme.org]
Data‑driven ergonomic risk assessment of complex hand‑intensive manufacturing processes.
A. Krishnan, X. Yang, U. Seth, J.M. Jeyachandran, J.Y. Ahn, R. Gardner, S.F. Pedigo, A.W. Blom‑Schieber, A.G. Banerjee, K. Manohar.
Communications Engineering, 4(1), 1–12 (2025). [nature.com]
Constrained optimization of sensor placement for nuclear digital twins.
N. Karnik, M.G. Abdo, C.E. Estrada-Perez, J.S. Yoo, J.J. Cogliati, R.S. Skifton, P. Calderoni, S.L. Brunton, & K. Manohar.
IEEE Sensors Journal, 24(9), 15501–15516 (2024)
[ieeexplore.ieee.org]
Leveraging optimal sparse sensor placement to aggregate a network of digital twins for nuclear subsystems.
N. Karnik, C. Wang, P.K. Bhowmik, J.J. Cogliati, S.A. Balderrama Prieto, C. Xing, A.A. Klishin, R. Skifton, M. Moussaoui, C.P. Folsom, J.J. Palmer, P. Sabharwall, K. Manohar, M.G. Abdo.
Energies, 17(13), 3355 (2024). [mdpi.com]
AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data‑driven control.
J.N. Kutz, S.L. Brunton, K. Manohar, H. Lipson, N. Li.
AI Magazine, 45(1), 48–53 (2024). [onlinelibr....wiley.com]
Optimal sensor and actuator selection using balanced model reduction.
K. Manohar, J.N. Kutz, S.L. Brunton.
IEEE Transactions on Automatic Control, 67(4), 2108–2115 (2022). [ieeexplore.ieee.org]
Kernel analog forecasting: multiscale test problems.
D. Burov, D. Giannakis, K. Manohar, A.M. Stuart.
Multiscale Modeling & Simulation, 19(2), 1011–1040 (2021). [epubs.siam.org]
Data‑driven aerospace engineering: reframing the industry with machine learning.
S.L. Brunton, J.N. Kutz, K. Manohar, A.Y. Aravkin, K. Morgansen, J. Klemisch, N. Goebel, J. Buttrick, J. Poskin, A. Blom‑Schieber, T. Hogan, D. McDonald.
AIAA Journal, 59(8), 2820–2847 (2021). [arc.aiaa.org]
PySensors: A Python package for sparse sensor placement.
B.M. de Silva, K. Manohar, E. Clark, B.W. Brunton, S.L. Brunton, J.N. Kutz.
Journal of Open Source Software, 6(58), 2828 (2021). [joss.theoj.org]
Sparse principal component analysis via variable projection.
N.B. Erichson, P. Zheng, K. Manohar, S.L. Brunton, J.N. Kutz, A.Y. Aravkin.
SIAM Journal on Applied Mathematics, 80(2), 977–1002 (2020). [epubs.siam.org]
Randomized CP tensor decomposition.
N.B. Erichson, K. Manohar, S.L. Brunton, J.N. Kutz.
Machine Learning: Science and Technology, 1(2), 025012 (2020). [iopscience.iop.org]
Optimized sampling for multiscale dynamics.
K. Manohar, E. Kaiser, S.L. Brunton, J.N. Kutz.
Multiscale Modeling & Simulation, 17(1), 117–136 (2019). [epubs.siam.org]
Data‑driven sparse sensor placement for reconstruction: demonstrating the benefits of exploiting known patterns.
K. Manohar, B.W. Brunton, J.N. Kutz, S.L. Brunton.
IEEE Control Systems Magazine, 38(3), 63–86 (2018). [ieeexplore.ieee.org]
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing.
K. Manohar, T. Hogan, J. Buttrick, A.G. Banerjee, J.N. Kutz, S.L. Brunton.
Journal of Manufacturing Systems, 48, 87–95 (2018). DOI: 10.1016/j.jmsy.2018.01.011. [sciencedirect]
Sparse‑TDA: sparse realization of topological data analysis for multi‑way classification.
W. Guo, K. Manohar, S.L. Brunton, A.G. Banerjee.
IEEE Transactions on Knowledge and Data Engineering, 30(7), 1403–1408 (2018). [ieeexplore.ieee.org]
Environment identification in flight using sparse approximation of wing strain.
K. Manohar, S.L. Brunton, J.N. Kutz.
Journal of Fluids and Structures, 70, 162–180 (2017). DOI: 10.1016/j.jfluidstructs.2017.01.008. [arxiv.org]