Publications

1. Brunton, S.L., Kutz, J.N., Manohar, K., Aravkin, A.Y., Morgansen, K., Klemisch, J., Goebel, N., Buttrick, J., Poskin, J., Blom-Schieber, A. & Hogan, T. (2020). "Data-Driven Aerospace Engineering: Reframing the Industry with Machine Learning." arXiv:2008.10740.

2. Burov, D., Giannakis, D., Manohar, K., & Stuart, A. (2020). "Kernel Analog Forecasting: Multiscale Test Problems." To appear in Multiscale Modeling & Simulation.

3. Manohar, K., Kutz, J. N., & Brunton, S. L. (2020). "Optimal sensor and actuator placement using balanced model reduction." arXiv:1812.01574.

4. Erichson, N. B., Zheng, P., Manohar, K., Brunton, S. L., Kutz, J. N., & Aravkin, A. Y. (2020). "Sparse principal component analysis via variable projection." SIAM Journal on Applied Mathematics, 80(2), 977-1002.

5. Erichson, N. B., Manohar, K., Brunton, S. L., & Kutz, J. N. (2020). "Randomized CP tensor decomposition." Machine Learning: Science and Technology, 1(2), 025012.

6. Manohar, K., Kaiser, E., Brunton, S. L., & Kutz, J. N. (2019). "Optimized sampling for multiscale dynamics." Multiscale Modeling & Simulation, 17(1), 117-136.

7. Manohar, K., Brunton, B. W., Kutz, J. N., & Brunton, S. L. (2018). "Data-driven sparse sensor placement for reconstruction: Demonstrating the benefits of exploiting known patterns." IEEE Control Systems Magazine, 38(3), 63-86.

8. Manohar, K., Hogan, T., Buttrick, J., Banerjee, A. G., Kutz, J. N., & Brunton, S. L. (2018). "Predicting shim gaps in aircraft assembly with machine learning and sparse sensing." Journal of manufacturing systems, 48, 87-95.

9. Guo, W., Manohar, K., Brunton, S. L., & Banerjee, A. G. (2018). "Sparse-TDA: Sparse realization of topological data analysis for multi-way classification." IEEE Transactions on Knowledge and Data Engineering, 30(7), 1403-1408.

10. Manohar, K., Brunton, S. L., & Kutz, J. N. (2017). "Environment identification in flight using sparse approximation of wing strain." Journal of Fluids and Structures, 70, 162-180.