Assistant Professor

Dr Meenakshi Choudhary

Department of Computer Science and Engineering

Interests

  1. Iris Biometrics
  2. Feature engineering with Deep Learning and feature selection
  3. Image Processing and Computer Vision

Faculty Details

Education

2012

Rajiv Gandhi Technical University, Bhopal,
India
BE

2014

Rajiv Gandhi Technical University, Bhopal,
India
MTech

2021

IIIT Naya Raipur,
India
PhD

Experience

  • 6 months – Assistant Professor – Truba Group of Institutions, Bhopal
  • 1 year 6 months - Assistant Professor- Technocrats Institute of Technology, Bhopal

Research Interest

  • Biometrics Recognition, Iris recognition using deep learning, Image Pre-processing, Computer Vision.
  • Visible light Iris Verification for smartphones.
  • Person Re-identification in surveillance images and video, Automated activity recognition in surveillance videos to ensure security in private and public regions.
  • Coronary heart disease early detection using fusion methods.

Awards & Fellowships

  • 2012-2014 – GATE Fellowship – AICTE

Memberships

  • IEEE
  • IEEE Biometric council
  • International Association of engineering (IANG)
  • Universal Association of Computer and Electronics Engineers(UACEE)
  • National Society of Professional Engineers

Publications

Journals
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Iris Liveness Detection using Fusion of Domain-specific Multiple BSIF and DenseNet Features”, IEEE Transactions on Cybernetics, pp. 1-12, 2020’
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Iris anti-spoofing through score-level fusion of handcrafted and data-driven features. Applied Soft Computing, Elsevier, Vol. 91, pp.106-206, 2020.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Enhancing human iris recognition performance in unconstrained environment using ensemble of convolutional and residual deep neural network models”, Soft Computing, Springer, vol. 24, pp. 11477–11491, 2019.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “An Approach for Iris Contact Lens Detection and Classification Using Ensemble of Customized DenseNet and SVM”, Future Generation Computer Systems, Elsevier, Vol. 101, pp. 1259-1270, 2019.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Iris presentation attack detection based on best-k feature selection from YOLO inspired RoI”, Neural Computing and Applications, Springer, pp.1-21, 2020.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “CCRNet: a novel data-driven approach to improve cross-domain Iris recognition”, Multimedia Tools and Applications, Springer, Vol. 79, no. 43, pp.32807-32831, 2020.
  • Meenakshi Choudhary, Vivek Tiwari, Swati Jain, “Person re-identification using deep Siamese network with multi-layer similarity constraints”, Multimedia Tools and Applications, pp.1-17, 2021.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., "Identifying Discriminatory Feature-vectors for Fusion-based Iris Liveness Detection", Journal of Ambient Intelligence & Humanized Computing, Springer, Dec 2021.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition”, 2nd International Conference on Data Science, Machine Learning and Applications, ICDSMLA 2020, Pune, Maharashtra, India, Springer, 21-22 Nov 2020.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Ensemble of Customized DenseNet with SVM for Refining Iris Contact Lens Features”, 19th Industrial Conference on Data Mining ICDM 2019, New York, USA, Springer, 17-21 July 2019.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Iris Presentation Attack Detection for Mobile Devices”, 5th International Conference on Information and Communication Technology for Competitive Strategies, ICTCS 2020, Jaipur, Rajasthan, India, Springer, 11-12 Dec 2020.
  • Meenakshi Choudhary, Vivek Tiwari, Venkanna U., “Ensuring Secured Iris Authentication for Mobile Devices”, 39th International Conference on Consumer Electronics, ICCE 2021, USA, IEEE 11-12 Jan 2021.

Contact Details

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