My main research interest is in the area of person authentication by using machine learning and deep learning concepts with a more specific focus on multimodal biometrics systems that fuse more than one trait to verify the identity of a person and particularly by using face and voice modalities. The aim of the study is to design and implement a novel Neural Network that  requires less amount of data for training and hence lower time consumption for processing, also can work with various dataset with high accuracy for the purpose of person authentication.

Education / academic qualifications

  • 2016 - MSc , Performance Evaluation of OpenFlow Controllers (2013 - 2016)
  • 2012 - BSc (2008 - 2012)

Prof. activities and awards (1)

  • Lecturer

    Activity: OtherTypes of External academic engagement - Research and Teaching at External Organisation

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