Dr. Varsha Garg

Education

• UGC –NET qualified in June 2014
• PhD
• M. Tech.( Computer Science) 2010 from UPTU
• B. Tech. (Computer Science and Engineering), July 1988 - June 1992 from Institute of Engineering & Technology, University of Lucknow (now constituent college of UPTU). 

Biography

In my work experience of 20+ years, I have taught many subjects ranging from basic  C Programming, Computer Organization and Architecture, Data structures, Algorithms and Problem Solving, Neural Networks, Machine Learning, Operating Systems, Graph Algorithms, Distributed Systems, Pattern Recognition and Artificial Intelligence. I have guided more than 30 undergraduate projects and 1 graduate level thesis.  

Work Experience

• January 2015 - till date, Assistant Professor, Jaypee Institute of Information Technology, Noida,  Uttar Pradesh, India.(Deemed University )
• July 2013 to January 2015, Associate Professor, Northern India Engineering College, IP University, Delhi
• January  2005-June, 2013, Assistant Professor, JSSATE, NOIDA , India
• July 2002-December 2004, Lecturer,  JSSATE, NOIDA, India

Publications

International Journals

• Garg, V, Sahoo, A, and Saxena, V., “Identification of Endometrial Tuberculosis in Infertility using Non-subsampled Contourlet based Convolution Neural Network”, Expert System with applications, 2022. https://doi.org/10.1016/j.eswa.2022.117282  (Publisher: Elsevier, SCIE, Scopus indexed, IF: 6.95).
• Garg, V., Sahoo, A., & Saxena, V., “A cognitive approach to endometrial tuberculosis identification using hierarchical deep fusion method” Soft Computing, 1-14, 2021. (Publisher: Springer, SCIE, Scopus indexed, IF: 3.5)
• Garg, V., Sahoo, A., Saxena, V., “Enhanced textural analysis for endometrial tuberculosis identification from ultrasound images", International Journal of Information Technology, vol. 13, pp. 1-10, 2021.  (Publisher: Springer, Scopus indexed)
• Garg, V., Sahoo, A. & Saxena, V., “Identification of Female Genital Tuberculosis in Infertility Using Textural Features”, International Journal of Swarm Intelligence, 2021, 6(2), 106-117. (Publisher: Inderscience)
• International Conferences
• Garg, V., Markhedkar, V. A., Lale, S. S., & Raghunandan, T. N. (2021). Video Tagging and Recommender System Using Deep Learning. In Innovations in Computational Intelligence and Computer Vision (pp. 302-310). Springer, Singapore.
• Kumar, J., & Garg, V. (2017, October). Security analysis of unstructured data in NOSQL MongoDB database. In 2017 International Conference on Computing and Communication Technologies for Smart Nation (IC3TSN) (pp. 300-305). IEEE.
• Garg, V, Sahoo, A, and Saxena, V., “Fusion Framework for Morphological and Multispectral Textural Features for Identification of Endometrial Tuberculosis”, In 2021 Thirteenth International Conference on Contemporary Computing (IC3-2021) (pp. 187-195). (Publisher: ACM, Scopus indexed)
• Garg, V., Sahoo, A., Saxena, V., “Gradient Local Auto Correlation Co-occurrence Machine Learning method for Endometrial Tuberculosis Identification", In Proceedings of International Conference on Machine Intelligence and Data Science Applications, Sep 4-5, 2020, pp. 581-593, ISBN 978-981-334-087-9, (Publisher: Springer, Scopus indexed)