BANERJEE Swati

Researcher-lecturer

Google Scholar

sbanerjeeatcesi.fr

+33 767769360

22 B Rue du Cap Vert, 21800 Quetigny

Research interest

  • Digital Twin in context of Human physiology, Biomedical Signals and Systems, Digital Health, Computational Neuroscience
  • Modelling and analysis of Signals originating from human psyco-physiological origin, Datascience.

Educational activities

  • Disciplines :  Biomedical Signal and Systems, digital health, Modelling of Human systems and analysis of data of human origin, Datascience, Research based projects and teaching. 
  • Niveau : Ingénieurs Bac+5 et masters (AI Santé Avec UB) 

 

Background

Doctor

Universidad de Zaragoza, Zaragoza, Spain.

2015

Ph.D. Biomedical Signals and Systems

University of Calcutta

“Application Of Soft computing techniques for analysis and classification of biomedical signals”, Collaboration with Indian Statistical Institute, Applied Physics, Instrumentation Engineering(Biomedical Signals and Systems). 

2015

Master in Computer Science

University of Calcutta, Calcutta, India.

“Development of an image processing toolkit with functionalities like Image addition, image colorization by manipulation of RGB and HSI color models, changing hue, saturation and intensity of images. Spatial image enhancement”,  

2008

Research and Development Projects

  • Digital health and Biomedical signals and Systems
  • Neuroscience Projects 

Scientific outreach in and outside Laboratory

  • Membre of Scientific Council LINEACT
  • Membre of IEEE
  • Membre of Organization For Computational Neurosciences (OCNS)
  • Membre of Scientific Council of  PreMI, Journal IEEE TBME, IEEE TIM, Elsevier BSPC, Elsevier Measurement. 

Selected Publication

  • Swati BANERJEE, Viktor JIRSA, «A simulation based pipeline for understanding the InterIctal state in Epilepsy: A fractal feature based framework», Under prepration.
  •  Swati BANERJEE, Viktor JIRSA, «Spikes to Burst: Macro to Mesoscale, Understanding the epileptic brain network», Under Prepration
  • Swati BANERJEE,Loubna IMRANI, Kiyoka KINUGAWA, and Sofiane BOUDAOUD, «How young is your muscle? A machine learning approach for assessment of functional abilities. » (DOI: 10.1101/2020.02.12.946343, BIORXIV/2020/946343).
  • Swati Banerjee, Raquel Bailon, Eduardo Gil, Pablo Laguna, «Characterisation of stress by PPG signal modelling to derive surrogates for arterial stiffness», Submitted to Journal of Phy. Measurement.
  • Swati Banerjee, Amrita Mukherjee, Kuntal Ghosh, «Analysis of P300 waveform generated from oddball experiments", Under prepration.
  • Keerthi S Chandran, Swati Banerjee,Sangamitra Bandyopadhyay, Kuntal Ghosh, «Forced choice task and its signicance in human sensory pathway», Under preparation.
  • Swati Banerjee and M. Mitra, « Application of Cross Wavelet Transform for ECG Pattern Analysis and Classication». IEEE Transactions on Instrumentation and Measurement,, vol. 63, pp. 326-333, 2014 (doi:10.1109/TIM.2013.2279001).
  • Rajdeep Chatterjee, Debarshi Kumar Sanyal, Ankita Datta,Swati BANERJEE, «An Improved Feature Selection based Approach for Motor-Imagery EEG Signal Classication: Using a sliding window based feature extraction technique». Accepted in Personal and Ubiquitous Computing (DOI:https://www.biorxiv.org/content/10.1101/2021.03.19.436144v1.abstract.)