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Megha Chhabra

Assistant Professor, Computer Science and Engineering (CSE)

megha.chhabra@sharda.ac.in

About

Megha Chhabra is currently working as an Assistant Professor in the Department of Computer Science & Engineering in School of Engineering & Technology, Sharda University. She has completed her M.Tech (CSA) from Thapar University. She is currently pursuing Ph.D. in Image Forensics. She has published multiple papers in journals and conferences which focus on Image processing.

Experience
  • 9 years
Qualification
  • PhD-Image forensics-Pursuing 
  • M.Tech-CSA-Thapar University 2012
  • MSc-CS - DAV Jalandhar-2010- University Gold medalist
Award & Recognition

  • MSc-Gold medal-University First Position. 
  • University Scholarship in M.Tech 
  • A reviewer of various SCI/SCOPUS Indexed journals and IEEE conferences. 

Research

Journals: 

  • “State-of-the-Art: A Systematic Literature Review of Image Segmentation in Latent Fingerprint Forensics”, Recent patents in computer science, (2020) ISSN: 2666-2566, DOI: 10.2174/2213275912666190429153952. (In press)
  • “Boosting the Classification Performance of Latent Fingerprint Segmentation using Cascade of Classifiers”, Intelligent Decision Technologies, (2020), ISSN:  (In press).
  • “Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season. Global Journal of Computer Science and Technology, (2018). ISSN 0975-4172.
  • “Case Study: Analysis and Predictions of Shipment Load in Festive Season.” , International Journal of Advanced Research in Computer Science and Software Engineering7(7) ISSN(E): 2277-128X, ISSN(P): 2277-6451, pp. 491-49, (2017).
  • “ROI Reduction Approach for Fast Circle Recognition using Classical Hough Transform”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Vol.6, Issue 6, June, (2016).
  • “An Improved Automatic Brain Tumor Detection System”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Vol.5, Issue 4, (2014).
  • “Monitoring and Controlling Systems Behavior to Achieve Optimal Reliability using Fuzzy Cognitive Maps”, International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Vol.5, Issue 5, (2014).
  • "Accurate Corner Detection Methods using Two Step Approach", Global Journal of Computer Science and Technology (GJCST), (2011), Online ISSN: 0975-4172, Print ISSN: 0975-4350.

Conferences:

  • “Bagging and Boosting based Latent Fingerprint Image Classification and Segmentation”, 3rd international conference on innovative computing and communication (icicc-2020-springer).
  • “State-of-the-art: Feature Extraction and Feature Selection in Latent Fingerprint Segmentation”, 2nd International Conference on Recent Multidisciplinary Research (ICRMR-2018) at Thailand during 23-24 November, 2018.
  • “Latent Fingerprint Forensics - A Survey” is published as a paper in INDIACOM – 02nd -03rd March2017; International Conference, IEEE Delhi Section at Bharati Vidyapeeth, New Delhi (INDIA).
  • “Improved Hough Transform for Fast Iris Detection”, IEEE International Conference on Signal Processing Systems, Dalian, China on 5-7 July, 2010.

Book Chapter:

  • “Accurate and Robust Iris Recognition Using Modified Classical Hough Transform.” In: Mishra D., Nayak M., Joshi A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 10. Springer, Singapore, (2018).

 

Certifications

  • Undergone one-month training in “Scrum Framework” from RAGASOFT SOLUTIONS PVT LTD as a Trainee Scrum Master.
  • Online course Certificates: Machine learning, Inferential statistics, fundamentals of Python, Deep Learning etc. 

Area of Interest

  • Deep learning
  • Pattern recognition
  • Graph Analysis
  • Machine learning
  • Image forensics