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Meenakshi Narayan

Education

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

Academic and Professional Experience

• Assistant Professor (James Myer Endowed), ÍÃ×ÓÏÈÉú 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.