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Mehjabin Khatoon

Qualification : B.Tech,.M.Tech., Ph.D (Thesis submitted)
Phone : +91 9941949926
Email ID :


Educational Background

Degree  Discipline Year of Passing University
M.Tech  Computer Science & Engineering 2012 Mahamaya Technical University, U.P.
B. Tech Computer Science & Engineering 2009 Uttar Pradesh Technical University, U.P.

Work Experience

Designation Institution Duration No. of Years
Visiting Faculty B.S. Abdur Rahman Crescent Institute of Science & Technology July 2019 Till date

Lecture Courses

  • Computer Network
  • Clustering Technique


Area of Research Interest

  • Social Web Mining
  • Semantic Web


International Journals

  • Mehjabin Khatoon, W. Aisha Banu, “A Survey on Community Detection Methods in Social Networks”, International Journal of Education and Management Engineering, Vol.5, No.1, pp.8-18, 2015.
  • Mehjabin Khatoon, W. Aisha Banu, “An effective way of detecting communities in social network”, International Journal of Intelligent Engineering and Systems, Vol. 11, No. 4, 2018.
  • Mehjabin Khatoon, W. Aisha Banu, “An Improved Algorithm for Detecting Overlapping Communities in Social Network”, International Journal of Advanced Intelligence Paradigms (accepted).
  • Mehjabin Khatoon, W. Aisha Banu, “An Efficient Method to Detect Communities in Social Network Using DBSCAN Algorithm”, Social Network Analysis and Mining- Springer , Vol.9, No.9,2019.

International Conferences

  • Mehjabin Khatoon, W. Aisha Banu, Ayesha Zohra A. and Chinthamani S, “Sentiment Analysis on Tweets”, In: CSI-2015, 50th Golden Jubilee Annual Convention on “Digital Life”, 02nd – 05th December, 2015, New Delhi.
  • Mehjabin Khatoon and Aisha Banu, “Comparison of the Unsupervised Algorithms for detecting Communities from Social Networks” , In: 7th International Conference on Contemporary Engineering and Technology 2019, 9th & 10th March 2019,OSIET,Chennai,India, ISBN:978-93-81288-18-4.