Admissions Closed for Academic Session 2024-25
Fee Payment (EMI)
Dr. Reetu

Dr. Reetu

Assistant Professor, Mathematics

reetu@sharda.ac.in

About

Dr. Reetu, is working as assistant professor in School of Basic Sciences and Research, Sharda University, Greater Noida. She achieved state level gold medal in her master. She availed DST INSPIRE fellowship during her Ph.D. program. She had more than seven years experience of teaching. She had twelve research papers in the field of reliability modelling and analysis. She has attended many conferences, seminars, workshops and faculty development program. She has presented many research papers in national and international conferences. She delivered guest Lectures as a resource person in reputed universities. She is a life member in M. D. University Alumni Association, Indian Association for Reliability and Statistics (IARS), Indian Society for Probability and Statistics (ISPS) and The Society of Economics and Development. She is also a member of Executive Committee of Indian Association for Reliability and Statistics (IARS).

Experience
  • 7+ Years
Qualification
  • Ph.D.
Award & Recognition

  • Gold Medal(State Level), DST INSPIRE Fellow

Research

  • Neetu Dabas, Reetu Rathee and Abhishek Sheoran. Reliability Analysis of a Parallel System with Preventive Maintenance and Inspection Techniques. INFORMATICA, Vol. 34(4), 2023, (Indexed in Scopus and Web of Science).
  • Neetu Dabas, Reetu Rathee and Abhishek Sheoran. Reliability Analysis of Parallel System Using Priority to PM over Inspection. Reliability: Theory and Applications, Vol. 18(1), 2023, (Indexed in Scopus).
  • Neetu Dabas and Reetu Rathee, Joginder Kumar (2022). Availability Analysis of Parallel System using Inspection for Repair Activities. International Journal of Agricultural and Statistical Sciences. Vol. 18(2) pp. 899-906. (Indexed in Scopus and Web of Science).
  • Neetu Dabas and Reetu Rathee. Parallel System Reliability Analysis with Priority and Inspection Using Semi-Markov Approach. Reliability: Theory and Applications, Vol. 17(2), 2022, (Indexed in Scopus).
  • Reetu Rathee, D. Pawar and S. C. Malik. Reliability Modeling and Analysis of a Parallel Unit System with Priority to Repair over Replacement subject to Maximum Operation and Repair Times. International Journal of Trend in Scientific Research and Development (IJTSRD), Vol.2(5), pp. 350-358, 2018 (ISSN: 2456-6470, Indexed in Thomson Reuters)
  • Reetu and S.C. Malik. Reliability Modeling of a Parallel System with Maximum Operation and Repair Times. International Journal of Operational Research, Vol. 25(1), pp. 131-142, 2016 (ISSN online: 1745-7653, Indexed in Scopus (Elsevier)).
  • Jyoti Nandal and R. Rathee. Stochastic Analysis of a Redundant System with Server Failure and Conditional Arrival Time. International Journal of Statistics and Reliability Engineering, Vol. 2(1), pp. 94-102, 2015 (Indexed, ISSN: 2350-0174).
  • R. Rathee and S.C. Malik. A Parallel System with Priority to Preventive Maintenance over repair Subject to Maximum Operation and Repair Times. International Journal of Scientific and Engineering Research, Vol. 6(2), pp. 1651-1661, 2015(Indexed, ISSN: 2229-5518).
  • R. Rathee, S.C. Malik. A Parallel System with Priority to Preventive Maintenance over Replacement Subject to Maximum Operation and Repair Times. International Journal of Engineering Development and Research, Vol. 2(3), pp. 3199-3206, 2014 (Indexed, ISSN: 2321-9939).
  • R. Rathee and S. Chander. A Parallel System with Priority to Repair over Preventive Maintenance Subject to Maximum Operation and Repair Times. International Journal of Statistics and Reliability Engineering, Vol. 1(1), pp. 57-68, 2014 (Indexed, ISSN: 2350-0174).
  • D. Pawar, S. C. Malik and Reetu. Weathering Server System Operations. Indian Journal of Science and Technology, Vol. 6(10), pp. 5325-5330, October 2013 (Indexed, ISSN: 0974-6846).
  • Reetu and S. C. Malik A Parallel System with Priority to Preventive Maintenance Subject to Maximum Operation and Repair Times. American Journal of Mathematics and Statistics, 2013. 3(6):436-444 DOI: 10.5923/j.ajms.20130306.19 (Thomson Reuters)

Area of Interest

  • Reliability Modelling and Analysis
  • Machine Learning