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Dr. Lakshmi M Hari
Dr. Lakshmi M Hari
Assistant Professor

An experienced researcher and educator with a demonstrated history of working in the higher education industry. As an Assistant Professor, I successfully proved excellent teaching skills & I'm committed to design and deliver learning interventions for academic excellence.

Qualification details
DEGREE UNIVERSITY YEAR
PhD IIT MADRAS 2023
ME ANNA UNIVERSITY 2013
BTECH MG UNIVERSITY 2010
DIPLOMA DTE 2007

 

 

  1. Lakshmi M Hari, Venugopal G, Ramakrishnan S. (2022) Dynamic contraction and fatigue analysis in biceps brachii muscles using synchrosqueezed wavelet transform and singular value features, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 236(2), pp.208-21.

  2. Lakshmi M Hari, Venugopal G, Ramakrishnan S. (2020) Muscle Fatigue Analysis in Biceps Brachii Surface Electromyography Signals using Synchrosqueezed Morlet Wavelet and Singular Value Decomposition, IET Electronic Letters, 57(1), pp. 42-

  3. Lakshmi M Hari, Venugopal G, Ramakrishnan S. (2022) Comparison of Machine Learning Tools for the Differentiation of Fatiguing Contractions in Biceps Brachii Muscle using Time Frequency Decomposed sEMG Signals, 22nd International Conference on Mechanics in Medicine and Biology ICMMB).

  4. Sowmya S, Lakshmi M Hari, Ramakrishnan S. (2022) Analysis of dynamic contractions of biceps brachii muscle using dispersion entropy measures of surface electromyography signals, 5th Indian Conference on Applied Mechanics (INCAM) (Accepted).

  5. Lakshmi M Hari, Venugopal G, Ramakrishnan S. (2020) Analysis of Isometric Muscle Contractions using Analytic Bump Continuous Wavelet Transform, 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 732-735.

  6. Lakshmi M Hari, Venugopal G, Ramakrishnan S (2022) Proposal of using bispectrum features for fatigue analysis in biceps brachii muscle using surfaceelectromyography signals, In 59th IBSIS & RMBS Symposium.

  7. Lakshmi M Hari, Edward Jero S, Venugopal G, Ramakrishnan S. (2019) Model Based Simulation of Surface Electromyography signals and its analysis under Fatiguing conditions using Tunable Wavelets, Recent Advances in Computational Mechanics and Simulations Volume-II: Nano to Macro(ICCMS), Springer, Chapter 9.

  8. Lakshmi M Hari, Edward Jero S, Venugopal G, Ramakrishnan S (2019) Analysis of Needle Electromyography Signal in Neuropathy and Myopathy Conditions using Tunable-Q Wavelet Transform, 4th International Conference on Biomedical Imaging, Signal Processing, pp. 78-82.

 

Email Phone Date Of Joining
lakshmi.eb[@]adishankara.[ac].[in] 0484-2463825 17-04-2023