
About
Kundan Kumar is a Postdoctoral Researcher at Aalto University, affiliated with the Department of Electrical Engineering and Automation. His research focuses on advanced signal processing, nonlinear state estimation, and control systems.
Recent work emphasizes Kalman filtering, Bayesian inference, and underwater tracking, with publications in venues like IEEE International Conference on Multisensor Fusion and Integration. He develops methods addressing unknown measurement noise, false data injection attacks, and delayed measurements in complex systems.
His publications highlight interdisciplinary applications in target tracking, distributed filtering, and polynomial chaos expansions for improved estimation accuracy.
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