Keval Ramani

Employment

• Indian Institute of Technology Goa Assistant Professor
  2024 - Present
• Indian Institute of Technology Kanpur Assistant Professor
  2022 - 2024
• University of Michigan Research Fellow
  2020 - 2021
• Ingersoll Rand GET
  2012 - 2013

Education

• University of Michigan PhD
  2015 - 2019
• University of Michigan MSE
  2013 - 2015
• Birla Institute of Technology and Science - Goa Campus BE
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• An Intelligent Scanning Strategy (Smartscan) for Improved Part Quality in Multi-Laser Pbf Additive Manufacturing
  2022 DOI: 10.2139/ssrn.4232360
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• A Robust Filtered Basis Functions Approach for Feedforward Tracking Control—With Application to a Vibration-Prone 3-D Printer
  IEEE/ASME Transactions on Mechatronics 2020 DOI: 10.1109/TMECH.2020.2983680
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• Energy optimal control of an over-actuated hybrid feed drive under variable-frequency disturbances —​ with application to machining
  Control Engineering Practice 2020 DOI: 10.1016/j.conengprac.2020.104442
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• A lifted domain-based metric for performance evaluation of LTI and LTV discrete-time tracking controllers
  Proceedings of 2018 ISFA - 2018 International Symposium on Flexible Automation 2018
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• Boosting speed and accuracy in precision motion control: A case for a consistent and versatile feedforward tracking approach
  Mechanical Engineering 2018 DOI: 10.1115/1.2018-SEP7
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• Robust filtered basis functions approach for feedforward tracking control
  ASME 2018 Dynamic Systems and Control Conference, DSCC 2018 2018 DOI: 10.1115/DSCC2018-9196
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• Tracking Control of Linear Time- Invariant Nonminimum Phase Systems Using Filtered Basis Functions
  Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME 2017 DOI: 10.1115/1.4034367
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• A comparison of two methods for energy efficient tracking control using filtered basis functions
  International Symposium on Flexible Automation, ISFA 2016 2016 DOI: 10.1109/ISFA.2016.7790209
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• A trajectory optimization method for improved tracking of motion commands using CNC machines that experience unwanted vibration
  CIRP Annals - Manufacturing Technology 2016 DOI: 10.1016/j.cirp.2016.04.100
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• Optimal control of a magnet assisted scanning stage considering the machine dynamics via filtered basis functions
  Proceedings - ASPE 2016 Spring Topical Meeting: Precision Mechatronic System Design and Control 2016
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