Dr. Navneet Bhatt

Assistant Professor


Areas of Specialization:        


Mathematical Modeling for Security Assessment of Software Systems






Specialization (Qualification):         

  • Ph.D. in Operational Research,
  • M.Phil. in Operational Research,
  • M.Sc. in Applied Operational Research,
  • B.Sc.(H) in Computer Science,
  • Six Sigma Green Belt

Software Tools Expertise:

  • SPSS for Regression Analysis and Modeling
  • SAS for Optimization, Estimation of Simultaneous Equations, Quality Control and Statistical Analysis.
  • MATLAB for Artificial Neural Network and Hypothesis Testing
  • MAPLE for Differential Equations
  • MINITAB for Multivariate Analysis and Statistical Analysis.
  • Python for Machine Learning

Interest Areas:          

  • Multivariate Analysis, Quantitative Techniques, Statistical Inferences and Hypothesis Testing, Machine Learning, Data Visualization, Predictive Modeling, Multi Criteria Decision Modeling, Six Sigma Quality Management

Experience:    

  • 1 year of teaching experience as Guest Faculty at University School of Management & Entrepreneurship, Delhi Technological University (DTU), Delhi.

Research:       

  • "Actively involved in research activities."

Publications: 

14

  • Publications and Research papers presented:            "Bhatt, N., Anand, A., & Yadavalli, V. S. (2021). Exploitability prediction of software vulnerabilities. Quality and Reliability Engineering International, 37(2), 648-663. [Indexed in Web of Science, 2020 SCI Impact Factor: 2.885, Scopus]
  • Anand, A., Bhatt, N., Kaur, J., & Tamura, Y. (2021). Time Lag-Based Modelling for Software Vulnerability Exploitation Process. Journal of Cyber Security and Mobility, 663-678. [Indexed in Scopus, Cite Score: 1.4]
  • Anand, A., Bhatt, N., & Alhazmi, O. H. (2020). Modeling software vulnerability discovery process inculcating the impact of reporters. Information Systems Frontiers, 1-14. Springer. [Indexed in Web of Science, 2020 SCI Impact Factor: 6.191, ABDC Rating: A]
  • Bhatt, N., Anand, A. and Aggrawal, D. (2019) Improving System Reliability by Optimal Allocation of Resources for Discovering Software Vulnerabilities, International Journal of Quality & Reliability Management. Emerald. [Indexed in Web of science, ESCI, ABDC Rating: B, Scopus]

Conferences / Workshops / Seminars attended/ Certifications:       "International Conference (Outside India):

  • Joint Secretary, 10th International Conference Quality, Reliability, Infocom Technology and Business Operations, Nepal, 2019.
  • 9th DQM International Conference on Life Cycle Engineering and Management, Prijevor, Serbia, 2018.
  • International Conference on Quality Assurance Engineering and Interdisciplinary Research, Peter the Great St. Petersburg Polytechnic University, Russia, 2017.
  • International Conference (India):
  • 4th International Conference on Mathematical Techniques in Engineering Application, Graphic Era University, Dehradun, 2020.
  • Organizing Member, 9th International Conference Quality, Reliability, Infocom Technology and Business Operations, University of Delhi, 2018.
  • 3rd International Conference on Mathematical Techniques in Engineering Application, Graphic Era University, Dehradun, 2018.
  • 2nd International Conference of Vijnana Parishad of India, Bundelkhand University, Jhansi, 2018.
  • 8th International Conference on Quality, Reliability, Infocom Technology and Business Operations, Amity University, Noida, 2017.
  • Organizing Member, 7th International Conference on Quality, Reliability, Infocom Technology and Business Operations, University of Delhi, 2015.
  • 6th International Conference on Quality, Reliability, Infocom Technology and Industrial Technology Management, University of Delhi, 2012.

Academic activities:  

Awards:         

Management Development Programs:       

Professional Memberships:  

"Life Member, Society for Reliability Engineering, Quality and Operations Management (SREQOM)."

Editorial Board Membership:          

Official Email Id:        

navneet.bhatt@nmims.edu

Office Phone No:       

022 4233 5101

 




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