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Manohar Lab

Data-Driven Optimization and Sensing

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Krithika Manohar

Assistant Professor 

University of Washington, Seattle (UW)

Dept. of Mechanical Engineering

Dept. of Applied Mathematics (adjunct)

Ph.D. in Applied Mathematics, University of Washington, 2018

B.S. in Mathematics & Computer Science, University of Massachusetts Lowell, 2013

GROUP MEMBERS

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Anand Krishnan

PhD UW ME

Niharika Karnik.heic

Niharika Karnik

PhD UW ME

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Jan Williams

PhD UW ME

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Mai Peng

PhD UW ME

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Andrei Klishin

Postdoctoral Scholar

AI Institute

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Chinmay Ratnaparkhe

Masters UW ME

PUBLICATIONS

Submitted
preprints

Selected
publications

Statistical Mechanics of Dynamical System Identification

Klishin, A.A., Barkarji, J., Kutz, J.K. & Manohar, K. 

(2024) arXiv:2403.01723

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Data-Driven Ergonomic Risk Assessment of Complex Hand-Intensive Manufacturing Processes

Krishnan, A., Yang, X., Seth, U., Jeyachandran, J.M., Ahn, J.Y., Gardner, R., Pedigo, S.F., Blom-Schieber, A.W., Banerjee, A.G. and Manohar, K.

(2024) arXiv:2403.05591

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Local stability guarantees for data-driven quadratically nonlinear models
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Data-Induced Interactions of Sparse Sensors

Klishin, A.A., Kutz, J.K. & Manohar, K. 

(2023) arXiv:2307.11838

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Constrained optimization of sensor placement for nuclear digital twins [pdf]

Karnik, N., Abdo, M.G., Perez, C.E.E., Yoo, J.S., Cogliati, J.J., Skifton, R.S., Calderoni, P., Brunton, S.L. and Manohar, K. 

IEEE Sensors Journal (Early Access), 2024.

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Optimal sensor and actuator selection using balanced model reduction [pdf]

Manohar, K., Kutz, J.N. and Brunton, S.L.

IEEE Transactions on Automatic Control, 67(4), pp.2108-2115, 2021.

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PySensors: A Python package for sparse sensor placement [github]

de Silva, B.M., Manohar, K., Clark, E., Brunton, B.W., Brunton, S.L. and Kutz, J.N.

The Journal of Open Source Software, 6(58), p.2828, 2021.

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Kernel analog forecasting: Multiscale test problems [link]

Burov, D., Giannakis, D., Manohar, K.* and Stuart, A.

Multiscale Modeling & Simulation, 19(2), pp.1011-1040, 2021.

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Data-driven aerospace engineering: reframing the industry with machine learning

Brunton, S.L., Nathan Kutz, J., Manohar, K., Aravkin, A.Y., Morgansen, K., Klemisch, J., Goebel, N., Buttrick, J., Poskin, J., Blom-Schieber, A.W. and Hogan, T. 

AIAA Journal, 59(8), pp.2820-2847, 2021.

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Optimized sampling for multiscale dynamics

Manohar, K., Kaiser, E., Brunton, S.L. and Kutz, J.N. 

Multiscale Modeling & Simulation, 17(1), pp.117-136, 2019.

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Predicting shim gaps in aircraft assembly with machine learning and sparse sensing [pdf]

Manohar, K., Hogan, T., Buttrick, J., Banerjee, A.G., Kutz, J.N. and Brunton, S.L.

Journal of manufacturing systems, 48, pp.87-95, 2018.

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Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns [pdf]

Manohar, K., Brunton, B.W., Kutz, J.N. and Brunton, S.L.

IEEE Control Systems Magazine, 38(3), pp.63-86, 2018.

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Sparse-TDA: Sparse realization of topological data analysis for multi-way classification

Guo, W., Manohar, K., Brunton, S.L. and Banerjee, A.G.

IEEE Transactions on Knowledge and Data Engineering, 30(7), pp.1403-1408, 2018.

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Environment identification in flight using sparse approximation of wing strain

Manohar, K., Brunton, S.L. and Kutz, J.N.

Journal of Fluids and Structures, 70, pp.162-180, 2017.

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Contact Information

Dept. of Mechanical Engineering

University of Washington

Stevens Way, Box 352600
Seattle, WA 98195

kmanohar [at] uw.edu

Thanks for submitting!

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