Jac Fredo

Employment

• Indian Institute of Technology BHU Assistant Professor
  2020 - Present
• Nanyang Technological University College of Engineering Post Doctoral Fellow
  2018 - 2020
• San Diego State University Research Foundation Post Doctoral Fellow
  2017 - 2018
• VIT University Assistant Professor (Senior Grade)
  2016 - 2016
• Indian Institute of Technology Madras Research Associate
  2016 - 2016

Education

• Anna University Chennai Ph. D.
  2011 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine Learning
  International Journal of Neural Systems 2024 DOI: 10.1142/s0129065724500278
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• Low-Power Hardware Accelerator for Detrending Measured Biopotential Data
  IEEE Transactions on Instrumentation and Measurement 2021 DOI: 10.1109/TIM.2020.3018235
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• Modified-MaMeMi filter bank for efficient extraction of brainwaves from electroencephalograms
  Biomedical Signal Processing and Control 2021 DOI: 10.1016/j.bspc.2021.102927
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• Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity
  Neural Computing and Applications 2021 DOI: 10.1007/s00521-020-05193-y
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• Experimental investigation on the effect of glass fiber orientation on impact damage resistance under cyclic indentation loading using AE monitoring
  Nondestructive Testing and Evaluation 2020 DOI: 10.1080/10589759.2019.1684491
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• RETRACTED ARTICLE: Classification of severe autism in fMRI using functional connectivity and conditional random forests
  Neural Computing and Applications 2020 DOI: 10.1007/s00521-019-04346-y
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• Classification of damages in composite images using Zernike moments and support vector machines
  Composites Part B: Engineering 2019 DOI: 10.1016/j.compositesb.2018.12.064
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• Characterization of global and local damages in composite images using geometrical and Fourier-hu moment-based shape descriptors
  Journal of Testing and Evaluation 2019 DOI: 10.1520/JTE20180701
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• Investigation of graphene as a material for electrical contacts in the application of microrelays using finite element modeling
  Materials Research Express 2019 DOI: 10.1088/2053-1591/ab3085
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• Classification of normal and knee joint disorder vibroarthrographic signals using multifractals and support vector machines
  Biomedical Engineering: Applications, Basis and Communications 2017
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