Dr. NIKHAT PARVEEN | Machine Learning | Best Researcher Award
Dr, NIKHAT PARVEEN,KL University, India
Dr. Nikhat Parveen is a distinguished academic and researcher affiliated with KL University, India. She has an extensive background in her field, contributing significantly to both the academic and research communities. Dr. Parveen’s expertise spans various domains, and she is known for her dedication to advancing knowledge and fostering innovation.
Education :
- PhD in Computer Science, Integral University, Lucknow, 2017
- Master of Computer Applications (M.C.A.), Andhra University, Visakhapatnam, 2003, 69.4%
- Bachelor of Science in Computer Science (B.Sc.), Andhra University, Visakhapatnam, 2000, 62%
- XII (Science), C.B.S.E, Visakhapatnam, 1997, 60.4%
- X (Science), C.B.S.E, Visakhapatnam, 1995, 59.8%
Teaching Experience:
- Associate Professor, KLEF, Vijayawada, Present
- Resource Person, Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, Aug 2018 – Nov 2018
- Assistant Professor, School of Management Sciences, Sultanpur Road, Lucknow, Nov 2017 – Nov 2018
- Lecturer, Sahara Arts & Management Academy, Lucknow, Aug 2006 – Jun 2011
- Lecturer, Gyan Institute of Management and Technology, Lucknow, Sep 2004 – Aug 2006
Research Experience:
Publications :
- “QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach,” MDPI, Electronics, 2022
- “CROSS-VERSION SOFTWARE FAULT DETECTION MODEL WITH AUTOMATIC DATA SELECTION,” Journal of Theoretical and Applied Information Technology, 2022
- “Online employment portal architecture based on expert system,” Indonesian Journal of Electrical Engineering and Computer Science, 2022
- “Equivalent mutant identification using hybrid wavelet convolutional rain optimization,” Software – Practice and Experience, 2022
- “Testing coverage criteria for optimized deep belief network with search and rescue,” Journal of Big Data, 2021
- “Quantify and alleviate OAuth approach token system exploiting by conspiracy lattice,” International Journal of System of Systems Engineering, 2021
- “A Fuzzy Approach for Handling Relationship Between Security and Usability Requirements,” Advances in Intelligent Systems and Computing, 2021
International Conferences:
- Numerous papers presented on security requirement frameworks and secure software engineering.