Manohar Lab
Data-Driven Optimization and Sensing
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
Anand Krishnan
PhD UW ME
Niharika Karnik
PhD UW ME
Jan Williams
PhD 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
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
Local stability guarantees for data-driven quadratically nonlinear models
Data-Induced Interactions of Sparse Sensors
Klishin, A.A., Kutz, J.K. & Manohar, K.
(2023) arXiv:2307.11838
Constrained optimization of sensor placement for nuclear digital twins
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.
Optimal sensor and actuator selection using balanced model reduction
Manohar, K., Kutz, J.N. and Brunton, S.L.
IEEE Transactions on Automatic Control, 67(4), pp.2108-2115, 2021.
PySensors: A Python package for sparse sensor placement
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.
Kernel analog forecasting: Multiscale test problems
Burov, D., Giannakis, D., Manohar, K.* and Stuart, A.
Multiscale Modeling & Simulation, 19(2), pp.1011-1040, 2021.
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.
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.
Predicting shim gaps in aircraft assembly with machine learning and sparse sensing
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.
Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns
Manohar, K., Brunton, B.W., Kutz, J.N. and Brunton, S.L.
IEEE Control Systems Magazine, 38(3), pp.63-86, 2018.
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.
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.
Contact Information
Dept. of Mechanical Engineering
University of Washington
Stevens Way, Box 352600
Seattle, WA 98195
kmanohar [at] uw.edu