Mehjabin Khatoon

Qualification	:	B.Tech,.M.Tech., Ph.D (Thesis submitted)
Phone	:	+91 9941949926
Email ID	:	mehjabin.vf@crescent.education

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

Area of Research Interest

Publications

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.