Dr. Ankit Goel
Assistant Professor
Department of Mechanical Engineering
University of Maryland, Baltimore County
1000 Hilltop Circle Baltimore, MD 21250
Education
2019 Ph.D., Aerospace Engineering, University of Michigan-Ann Arbor
2014 M.S.E., Aerospace Engineering, University of Michigan-Ann Arbor
2009 B.E., Mechanical Engineering, Delhi College of Engineering, Delhi
Employment History
2021- Assistant Professor, Mechanical Engineering, University of Maryland, Baltimore County
2019-2021 Research Fellow, Aerospace Engineering, University of Michigan-Ann Arbor
Honors and Awards
Research Interest
Research interests: developing learning- and model-based techniques for control and estimation problems in cyber-physical systems using theoretical- and numerical simulation- based methods. Applications include inertial navigation, flight control of quadcopter and aircrafts, combustion control in hypersonic vehicles, control of unsteady flow, parameter estimation in dynamical systems, image reconstruction etc.
Classes Taught
ENME 403 – Automatic Control at University of Maryland, Baltimore County. Senior-level course introducing design of feedback control systems for cyber-physical systems
AEROSP 584 – Guidance and Navigation for Aerospace Applications [Guest lectures] at The University of Michigan-Ann Arbor. Introduction to inertial navigation and application of Kalman filter to inertial navigation problem.
AEROSP 566 – Data Analysis and System Identification [Guest lectures] at The University of Michigan-Ann Arbor. Introduction to Kalman filter and Unscented Kalman Filter for state and parameter estimation.
Selected Publications
For more publications, please visit Google Scholar.
· Goel, A. Ul Islam, A. Ansari, O. Kouba and D. S. Bernstein, “An Introduction to Inertial Navigation From the Perspective of State Estimation [Focus on Education],” in IEEE Control Systems Magazine, vol. 41, no. 5, pp. 104-128, Oct. 2021, doi: 10.1109/MCS.2021.3092855.
· A. Bruce, A. Goel, and D. S. Bernstein, “Convergence and Consistency of Recursive Least Squares with Variable-Rate Forgetting,” Automatica 119(2020): 109052, doi: 10.1016/j.automatica.2020.109052.
· A. Goel et al., “Experimental Implementation of an Adaptive Digital Autopilot,” 2021 American Control Conference (ACC), 2021, pp. 3737-3742, doi: 10.23919/ACC50511.2021.9483005.