Birla Institute of Technology, Mesra
Dr. Mansi Gupta
, Computer Science
M.Tech, Ph.D. (Computer Science) 		Contact Address
Permanent Address Itki Road, Bazra, Ranchi - 834005
Local Address Same as Permanent Address
Phone (Office) 8700169871
Phone Residence N.A.
Email Id gmansi@bitmesra.ac.in
Joined Institute on : 12-Aug-2023
  Work Experience
 
Teaching : 2 Years

Research : 3.5 Years
  Professional Background
  • Worked as an Assistant Professor in Dept. of Faculty of Science and Technology, ICFAI University, Jharkhand from Feb’2023 to August’23.

Subjects Taught – Operating System, Machine Learning, PHP with MySQL, MIS.

  • Full Time (IRF) Research Scholar (July 2019 – Jan 2023) at Dept. of Computer Science & Engineering, Birla Institute of Technology, Mesra.

               Research Area: Machine Leaning and Deep Neural Networks; under the guidance of

Dr. Kumar Rajnish and Dr. Vandana Bhattacharjee, BIT Mesra.

  • Worked as an Assistant Professor in Dept. of Computer Science, Institute of Professional Excellence & Management (IPEM), Ghaziabad from July’2017- Nov’2018.

Subjects Taught – Database Management System, Computer Architecture, Operating System, Cloud Computing and Computer Fundamentals.
  Research Areas
 

Software fault prediction, Software Engineering, Machine Learning, Neural Networks 
  Publications
 
  1. M. Gupta, K. Rajnish, and V. Bhattacharya, “Effectiveness of Ensemble Classifier Over State-Of-Art Machine Learning Classifiers for Predicting Software Faults in Software Modules,” Machine Learning, Image Processing, Network Security and Data Sciences, pp. 77–88, 2023, doi: 10.1007/978-981-19-5868-7_7 (Scopus).
  2. M. Gupta, K. Rajnish, and V. Bhattacharjee, “Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction,” IEEE Access, vol. 10, pp. 108870–108894, 2022, doi: 10.1109/access.2022.3213844 (SCIE).
  3. K. Rajnish, V. Bhattacharjee, and M. Gupta, “A Novel Convolutional Neural Network Model to Predict Software Defects,” Fundamentals and Methods of Machine and Deep Learning, pp. 211–235, Jan. 2022, doi: 10.1002/9781119821908.ch9 (Scopus).
  4. M. Gupta, K. Rajnish, and V. Bhattacharjee, “Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults,” Scientific Programming, vol. 2021, pp. 1–17, Jun. 2021, doi: 10.1155/2021/6662932 (SCIE).
  5. M. Gupta, K. Rajnish, and V. Bhattarcharjee, “Predicting Software Cost Through Entity–Relationship Diagrams: An Empirical View,” Lecture Notes in Electrical Engineering, pp. 561–567, Nov. 2020, doi: 10.1007/978-981-15-7486-3_51 (Scopus).
  6. A. G. Dinker, V. Sharma, M. Gupta, and N. Singh, “Multilevel authentication scheme for security critical networks,” Journal of Information and Optimization Sciences, vol. 39, no. 1, pp. 357–367, Nov. 2017, doi: 10.1080/02522667.2017.1374745.