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Ms. Neha Gehlot

Name Ms. Neha Gehlot
Designation Assistant Professor
Qualification M.TECH (CSE), B.TECH (CSE)
Total Years of Work Experience 4.5 years
Total Teaching Experience 4.5 years
Total Corporate Experience –
Email ID neha_fet@sgtuniversity.org
Teaching Interests SE,DBMS,CN,OOPS
Research Interests Software Engineering
Recent Publications
  • Dr. Ritu Sindhu, Neha Gehlot have published a paper titled “Diagnosis and Prediction of Health Diseases Using Data Mining Techniques” in International Journal of Emerging Technology & Advanced Engineering (ISSN 2250-2459, ISO 9001:2008 Certified Journal), Volume 8, Issue 3, March 2018.
  • Ms Neha Gehlot, 5g Technology of Mobile Communication: A Review, International Journal of Engineering Science Invention (IJESI) ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726 www.ijesi.org ||Volume 7 Issue 4 Ver. I || April 2018 || PP 44-47
  • Ms.Neha Gehlot,” A Combined Approach Of Smote Data Balancing With Datamining Algorithms For Detecting Credit Card Fraud” IJARECE journal, June 2018
  • Neha Gehlot And Dr Ritu Sindhu “A Class Cohesion Measure For Evaluation For Reusability ” World Engineering and Applied Science Journal Vol 6(2), 2015, ISSN 2079-2204 .PP.104-108(IF: 2.21)
  • Neha Gehlot A review on quality Attributes based software Metrics” in International Journal of Advanced Research in computer science ISSN: 0976-5697, Volume 4, No. 11, Nov-Dec 2013.
  • Neha Gehlot ” Dynamic Inheritance Coupling Metric-Design and Analysis for Assessing Reusability” published in Inderscience Publishers.
Conferences, Seminars & Workshops Total:14, ( CCNA, IoT, PHP & MySQL, Open source technologies etc.)
Book A Design & Analysis of Inheritance and Dynamic Coupling Metric in OOP’s, published by Lambert Academic Publishing, ISBN-978-3-330-07489-7,2017 (Reference Book)

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ADMISSIONS 2021