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Krithika Manohar is an Assistant Professor in the Department of Mechanical Engineering at the University of Washington. She holds a Ph.D. in Applied Mathematics from the University of Washington, where she also earned her M.S. and B.S. degrees. Her research interests center on the development of algorithms for data-driven prediction and control of complex dynamical systems. She employs dimensionality reduction techniques based in operator theory and manifold learning to identify physically meaningful features in data, optimizing sensors and actuators for improved decision-making in various applications, including fluid flow reconstruction and image recovery. Prior to her current role, she was a Postdoctoral Scholar in Computing and Mathematical Sciences at Caltech. Her work in sparse sensing and forecasting has direct applications in fields like fluid dynamics, materials science, and biology. Krithika has received several honors, including the National Science Foundation Mathematical Sciences Postdoctoral Research Fellowship and the Boeing Award for Excellence in Research. Her contributions to the field have been recognized through numerous publications in high-impact journals.
California Institute of Technology (Caltech) • California, USA
Delivered courses in Computing and Mathematical Sciences.
California Institute of Technology (Caltech) • California, USA
Conducted research in Computing and Mathematical Sciences.
Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.