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Dr. Neha Singh

Assistant Professor, School of Computing, Haridwar

Qualification: BA, MA, Ph.D
s_neha@cbe.amrita.edu
Google Scholar Profile
Scopus Profile
Research Interest: Machine learning, Survey Sampling, Time Series

Bio Publications Education Membership Awards Conferences Courses Taught Project Wokshops
Bio

Dr. Neha Singh is currently working as an Assistant Professor, School of Computing, Haridwar.  She has completed her Ph.D. from IIT ISM DHANBAD. She has completed her graduation and post-graduation from B.H.U. Her area of research is Survey Sampling, Time Series and Machine learning. She has seven years research and teaching experience.

Publications

Journal Article

Year : 2022

Time Series Analysis Using Different Forecast Methods and Case Fatality Rate for Covid‐19 Pandemic

Cite this Research Publication : A Bhattacharjee, Vishwakarma, G.K., Gajre N., and Singh N. Time Series Analysis Using Different Forecast Methods and Case Fatality Rate for Covid‐19 Pandemic. Reg Sci Policy Pract. 2022;1–14

Publisher : Reg Sci Policy Pract

Year : 2022

Estimation of mean of sensitive information using multiplicative scramble variable under measurement error

Cite this Research Publication : Singh, N., Vishwakarma, G.K., Singh, and N kumar. Estimation of mean of sensitive information using multiplicative scramble variable under measurement error. Journal of Statistical Theory and Practice.doi.org/10.1007/s42519-022-00272- ( 2022) (SCI-E)

Publisher : Journal of Statistical Theory and Practice

Year : 2022

Computing the Average Body Mass Index: A Study with Systematic Sampling Using Auxiliary Information

Cite this Research Publication : Gajendra K. Vishwakarma, Neha Singh, Surendra P. Singh, "Computing the Average Body Mass Index: A Study with Systematic Sampling Using Auxiliary Information", Mathematical Problems in Engineering, vol. 2022, Article ID 9291313, 7 pages, 2022. https://doi.org/10.1155/2022/9291313

Publisher : Mathematical Problems in Engineering

Year : 2022

A computational framework for estimation of mean in presence of observational error

Cite this Research Publication : Vishwakarma, G.K., Singh, Neha., Neelesh Kumar., A computational framework for estimation of mean in presence of observational error, 2022, (ISSN)1532-0634 Concurrency and Computation: Practice and Experience (CPE). 10.1002. (SCI-E)

Publisher : Concurrency and Computation: Practice and Experience (CPE)

Year : 2021

Computing the Effect of Measurement Errors on the Use of Auxiliary Information under Systematic Sampling Plan

Cite this Research Publication : Singh, N., Vishwakarma, G.K., Computing the Effect of Measurement Errors on the Use of Auxiliary Information under Systematic Sampling Plan. Communications in Statistics– Theory and Methods, DOI:10.1080/03610926.2020.1868513, 2021,ISSN: 0361-0926, Taylor & Francis, Inc, Philadelphia. (SCI-E).

Publisher : Communications in Statistics– Theory and Methods

Year : 2021

Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information

Cite this Research Publication : Singh, N.,Vishwakarma, G.K.,and Kim, J.M., Computing the effect of measurement errors on efficient variant of the product and ratio estimators of mean using auxiliary information. Communications in Statistics-Simulation and Computation, DOI:10.1080/03610918.2019.1656742, 2021,ISSN: 0361-0918, Taylor & Francis, Inc, Philadelphia. (SCI-E).

Publisher : Communications in Statistics-Simulation and Computation

Year : 2021

Variance estimation in the presence of measurement errors under stratified random sampling

Cite this Research Publication : Vishwakarma, G.K., Singh, N (Corresponding Author). and Gangele, R.K., Variance estimation in the presence of measurement errors under stratified random sampling. REVSTAT-Statistical Journal, 2021, ISSN: 1645-6726, National Statistics Institute, Statistics Portugal. (SCI-E).

Publisher : REVSTAT-Statistical Journal

Year : 2021

Computing the effect of measurement errors under additive scramble response of the sensitive variable

Cite this Research Publication : Vishwakarma, G.K., Singh, N. Computing the effect of measurement errors under additive scramble response of the sensitive variable. 2021,ISSN: 23495103. Journal of Computational and Applied Mathematics, Volume 395. (SCI-E).

Publisher : Journal of Computational and Applied Mathematics

Year : 2020

Calibration under measurement errors

Cite this Research Publication : Vishwakarma, G.K., Singh, A. and Singh, N., Calibration under measurement errors. Journal of King Saud University – Science, DOI:10.1016/j.jksus.2020.07.017,(SCI-E).

Publisher : Journal of King Saud University – Science

Year : 2020

A generalized class of estimators for mean in presence of measurement error

Cite this Research Publication : Vishwakarma, G.K., N., A generalized class of estimators for mean in presence of measurement error.RevistaInvestigacionOperacional,,41, 7,961-969,2020,ISSN: 0257- 4306, Universidad de La Habana, Cuba.(SCOPUS).

Publisher : RevistaInvestigacionOperacional

Year : 2019

Computing the combined effect of measurement errors and non-response using factor chain-type class of estimator

Cite this Research Publication : Vishwakarma, G.K., Singh, N (Corresponding Author). and Kumar, A., Computing the combined effect of measurement errors and non-response using factor chain-type class of estimator. The Philippine Statistician, 68, 1, 27-39, 2019, ISSN: 2094-0343, Philippine Statistical Association, Philippine. (SCOPUS).

Publisher : The Philippine Statistician

Year : 2019

A generalised class of estimator of population mean with the combined effect of measurement errors and non-response in sample survey

Cite this Research Publication : Singh, N. and Vishwakarma, G.K., A generalised class of estimator of population mean with the combined effect of measurement errors and non-response in sample survey. RevistaInvestigacionOperacional, 40, 2, 275-285, 2019, ISSN: 0257- 4306, Universidad de La Habana, Cuba. (SCOPUS).

Publisher : RevistaInvestigacionOperacional

Year : 2019

Estimation of optimum sample size allocation: An illustration with body mass index for evaluating the effect of a dietetic supplement

Cite this Research Publication : Bouza,-Herrera, C.N., Allende-Alonso, S.M., Vishwakarma, G.K. and Singh, N.,Estimation of optimum sample size allocation: An illustration with body mass index for evaluating the effect of a dietetic supplement. Journal of King Saud University – Science,, 12, 8, 1950086, DOI:10.1142/S1793524519500864,2019, ISSN: 1793-7159, World Scientific. (SCI-E)

Publisher : Journal of King Saud University – Scienc

Year : 2018

Parameters estimation of weibull distribution based on fuzzy data using neural network

Cite this Research Publication : Vishwakarma, G.K., Paul, C. and Singh, N., Parameters estimation of weibull distribution based on fuzzy data using neural network. Biostatisticsand Biometrics: Open Access Journal, 6, 5, 1-8,2018, ISSN: 2573-2633, JuniperPublishers, USA.

Publisher : Biostatisticsand Biometrics: Open Access Journal

Education
  • Ph.D. (Statistics) in 2021 from Dept. of Mathematics and Computing, Indian Institute of Technology (ISM), Dhanbad, India under the supervision of Dr. G.K. Vishwakarma.
    Title of Ph.D. Thesis: “Estimation Procedures for Population Parameter(s) using Auxiliary Information in the Presence of Measurement Error”
  • M.A. (Statistics) first division in 2014 from Department of Statistics, Banaras Hindu University, Varanasi, U.P., India.
  • B.A. (Hons.) (Statistics) first division in 2012 with subject combination Math, Stats, Economics from MMV, Banaras Hindu University, Varanasi, India.
Membership
  • Indian Science Congress, SIAM
Awards
  • UGC NET in Population Studies
Conferences
  • International conference on Emerging Innovations in Statistics & Operation Research (EISOR-2018) in conjunction with 38th Annual Conference of ISPS and 4th Convention of IARS during December 27-30, 2018 at Department of Statistics, M.D. University, Rohtak.
  • 3rd International Conference on Statistics for Twenty-First Century 2017 (ICSTC-2017) during December 14–16, 2017 held at Department of Statistics, University of Kerala, Trivandrum, India.
  • National Conference on Advanced Developments in Theoretical and Applied Statistics (ADTS-2017) during November 13–15, 2017 held at Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India.
  • Attended 7th WMVC National Conference on Wave Mechanics and Vibrations organizes by Department of Applied Mathematics ,Indian School of Mines, Dhanbad during 21-23 December, 2015.
Courses Taught
  • Probability and Statistics (B.Tech)
  • Probability and Random Process (B.Tech)
  • Statistical Inference (Int. M.Sc. Data Science)
  • Statistics and Foundation of Data Science (B.Tech)
  • Statistical Inference and Design of Experiments (Int M.Sc. Math)
  • Numerical Method and Optimization Technique (Int. M.Sc. Data Science)
  • SQC and Reliability ( M.Sc. ASDA)
  • Stochastic Process (Int. M.Sc. Math)
  • Probabilistic Graphical Model (Int. M.Sc. Data Science)
  • Statistical Inference Theory Lab (Int. M.Sc. Data Science)
  • Numerical and Statistical Method Lab. (Int. M.Sc. Science)
Project

Project Work

  • Project work on survey and inference “Quality of life of elderly employees in BHU” in the completion of Master degree in Statistics. 2.
  • Project work on survey and inference “Social Networking – Their effect on undergraduate student of BHU” in the completion of Bachelor degree in Statistics.

Project Guided Student

Student Name Project Title
 Roumak De Sarkar CB.PS.P2ASD22015 Taylor Theorem Application: A Method to Estimate Population Mean by using Multi Auxiliary Variable under Systematic Sampling
 Sheryaa G CB.PS.P2ASD22016  An Efficient Estimation Procedure to Estimate Population Mean in the Presence of Correlated Measurement Error under Systematic Sampling
 T. Vaishnavi. CB.PS.P2ASD23017  Enhancing Diabetes Prediction Models with Rank Set Sampling Techniques
Gaadha Nath H. CB.PS.P2DLS23017  Supplier Delivery Delay Prediction Using Ensemble techniques
 Sruthi S CB.SC.I5DAS20144  Facial Recognition with Minimal Data: A Hybrid ViT-InceptionResNetV1 Model with Contrastive Learning for Real-World Applications
Wokshops
  1. Attended “National workshop on Relevance of Statistics in Research with Statistical software” during March 14-20, 2016 organized by U.P. Rajarshi Tandon Open University, Allahabad
  2. Attended Short Term Training on Reliability and Safety Analysis organized by Department of Applied Mathematics, ISM, Dhanbad during June 20-24, 2016.
  3. Attended “Workshop on Computational Statistics” from 18th -26th March 2018 organized by ISRU(ISI), Kolkata
  4. Attended course on Applications of Statistical Tools in Research & Data Analysis during Feb 08-11, 2016 organized by Indian Institute of Technology, Dhanbad.
  5. Attended Professional Development Programme on “Application of Statistics in Advanced Research” from 24th -28th November 2016 organized by Indian Institute of Technology, Dhanbad.
  6. Attended GIAN program on Derivative Pricing from April 24-30, 2019 organized by Indian Institute of Technology, Dhanbad.
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