Mehjabin Khatoon
Qualification |
: |
B.Tech,.M.Tech., Ph.D (Thesis submitted) |
Phone |
: |
+91 9941949926 |
Email ID |
: |
mehjabin.vf@crescent.education |
Teaching
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
Research
Area of Research Interest
- Social Web Mining
- Semantic Web
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.