Meenakshi Narayan

Assistant Professor

Meenakshi Narayan

James Russell Myers Endowed Engineering Technology Professorship

205-W Thesken Hall, Middletown Campus
4200 N University Blvd, Middletown, OH 45042
narayam3@MiamiOH.edu
513-217-4073
513-727-3367 (Fax)

Education

  • Ph.D., Mechanical Engineering, The University of Texas at Dallas, Texas, USA, 2020
  • MS, Electrical and Electronic Engineering, The University of Texas at Dallas, Texas, USA, 2016
  • BS, Electrical and Electronic Engineering, SASTRA University, Thanjavur, India, 2012

Academic & Professional Experience

  • Assistant Professor (James Myer Endowed), Miami University, Middletown Campus, August 2021- present
  • Postdoctoral Fellow, The University of Texas at Austin, Texas, September 2020 - August 2021
  • Graduate Research Assistant, Mechanical Engineering, The University of Texas at Dallas, May 2015 - August 2020
  • Teaching Assistant, Mechanical Engineering, The University of Texas at Dallas, August 2015 - May 2019

Research Interests

  • Dynamics and Control
  • Data-driven modeling
  • Signal Processing and Machine Learning
  • Human-Robot Interaction and Teleoperation Robotics
  • Autonomous Systems and Medical Robotics

Publications

Journals

Narayan, Meenakshi, and Ann Majewicz Fey. "Developing a novel force forecasting technique for early prediction of critical events in robotics." PloS one 15.5 (2020): e0230009.

Narayan, Meenakshi, Michael A. Choti, and Ann Majewicz Fey. "Data-driven detection of needle buckling events in robotic needle steering." Journal of Medical Robotics Research 4.02 (2019): 1850005.

Conferences

Narayan, Meenakshi, and Ann Majewicz Fey. "A Novel Approach to Time Series Forecasting Using Model-Free Adaptive Control Framework." Dynamic Systems and Control Conference. Vol. 84270. American Society of Mechanical Engineers, 2020.

Narayan, Meenakshi, Ann Majewicz Fey, and Michael A. Choti. "Data-driven detection of adverse events in robotic needle steering." 2018 International Symposium on Medical Robotics (ISMR). IEEE, 2018.