Designation: Associate Professor
Department: Mathematics & Computing
Email: vishwagk[at]iitism[dot]ac[dot]in
Contact Number: 9471191338
Office Number: +91-326-223-5920
Personal Page: Click Here
About Me: Dr. Gajendra Vishwakarma is an accomplished statistician with a strong background in both academic and industrial research. He earned his Ph.D. from Vikram University, Ujjain, in 2007 and currently serves as a Professor of Statistics in the Department of Mathematics & Computing at the Indian Institute of Technology (ISM) Dhanbad, India. With several years of experience, his expertise lies in statistical methodologies and their applications across various domains. Before joining IIT (ISM) Dhanbad, he contributed to research at the Indian Statistical Institute, Tezpur, and gained industry experience at Cognizant Technology Solutions, Mumbai, and Lupin Research Park, Pune. His work reflects a deep commitment to advancing statistical science and its real-world applications.
Research Interest: -Survey Sampling Theory and Techniques -Regression Models and Machine Learning -Identification of Biomarkers -Bayesian Statistics -Joint Modeling and Longitudinal Data Analysis
Ph.D. (Statistics) in 2007 from School of Studies in Statistics, Vikram University, Ujjain, M.P., India.
Title of Ph.D. Thesis: “Estimation of Parameter(s) Using Auxiliary Information in Stratified Sampling”
M.Phil. (Statistics) in 2004 from School of Studies in Statistics, Vikram University, Ujjain, M.P., India with first division
Title of M. Phil. Dissertation: “Estimation of Finite Population Mean with Auxiliary Information in Sample Surveys”
M.Sc. (Statistics with Computer Programming) in 2001 from Department of Mathematical Sciences & Computer Applications, Bundelkhand University, Jhansi, U.P., India with first division.
B.Sc. (Mathematics, Physics, Chemistry) in 1999 from Bipin Bihari (PG) College, Bundelkhand University, Jhansi, U.P., India with first division.
Intermediate (Maths Group) in 1995 from Govt. Inter College Samthar Jhansi, Board of High School and Intermediate Education Uttar Pradesh with first division.
Allocation Strategies for estimation of population mean in stratified random sampling. Mathematics and Computer Science - Contemporary Developments, Chapter 8, 111-134, 2024, ISBN: 978-81-977283-5-8, B P International
Neutrosophic regression cum ratio estimators for the population mean: an application in medical science. Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics, Chapter 17, 313-331, 2022, ISBN: 978-0323994576, Chegg Inc, Academic Press.
Ratio and product type exponential estimators for population mean using ranked set sampling. Ranked Set Sampling: 65 years improving the accuracy in Data Gathering, Chapter 18, 251-258, 2019, ISBN: 978-0-12-815044-3. Elsevier Academic Press.
Variance estimation of persons infected with AIDS under ranked set sampling. Ranked Set Sampling: 65 years improving the accuracy in Data Gathering, Chapter 21, 281-290, 2019, ISBN: 978-0-12-815044-3. Elsevier Academic Press.
i). Published/Accepted in Indexed Journal:
Bhattacharjee, A., Kumari, P. and Vishwakarma, G.K., and Tank F., afthd: Bayesian accelerated failure time model for high-dimensional time-to-event data. Japanese Journal of Statistics and Data Science, (Accepted) 2025, ISSN: 2520-8764, Springer Nature. (E-SCI/SCOPUS).
Vishwakarma, G.K., Kumari, P., Bhattacharjee, A. and Ong, S.H., Bayesian classifier based on cancer prognostic markers using accelerated failure time model with frailty effect. Quality & Quantity, (Accepted), 2025, ISSN: 1573-7845, Springer. (SCI-E/Q1).
Bhattacharjee, A., Kumari, P. and Vishwakarma, G.K., Advanced bayesian survival modeling for lung adenocarcinoma prognosis: The afthd R package and shiny application. Brazilian Journal of Biometrics (Accepted), 2025, ISSN: 2764-5290, International Biometric Society, Brazil, (SCOPUS).
Soni, R., Alam, M.S. and Vishwakarma, G.K., Prediction of InSAR deformation time-series using improved LSTM deep learning model. Nature Scientific Reports, 2024, https://doi.org/10.1038/s41598-024-83084-1, ISSN 2045-2322, Nature Portfolio, (SCI-E/Q1).
Yadav, S.K., Vishwakarma, G.K. and Singh A., Efficient Searls predictive estimators for mean under ranked set sampling: An application to COVID-19 data. International Journal of System Assurance Engineering and Management, (Accepted) 2024, ISSN: 0976-4348, Springer Nature. (E-SCI/SCOPUS).
Laala, B., Elsawah, A.M., Vishwakarma, G.K., and Fang, K.T., Integrating clustering and sequential analysis for improving the spectral density estimation and dependency structure of time series. Communications in Statistics-Simulation and Computation, https://doi.org/10.1080/03610918.2024.2434144, 2024, ISSN: 0361-0918, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q3).
Verma, M.K., Yadav, S.K., Varshney, R., and Vishwakarma, G.K., Improved estimation strategy of mean using linear cost function under stratified sampling. Quality & Quantity, https://doi.org/10.1007/s11135-024-02021-6, 2024, ISSN: 1573-7845, Springer. (SCI-E/Q1).
Verma, M.K., Yadav, S.K., Varshney, R., and Vishwakarma, G.K., Computation strategy for population mean in stratified random sampling: A problem of budget constraint.
Statistical Journal of the IAOS, (Accepted), 2024, ISSN: 1874-7655, IOS Press, Inc. (E-SCI/SCOPUS).
Bhattacharjee, A., Rajbongshi, B., and Vishwakarma, G.K., jmBIG: enhancing dynamic risk prediction and personalized medicine through joint modeling of longitudinal and survival data in big routinely collected data. BMC Medical Research Methodology, https://doi.org/10.1186/s12874-024-02289-0, 24, 172, 2024, ISSN: 1471-2288, Biomed Central Ltd & Springer. (SCI-E/Q1).
Vishwakarma, G.K., Bhattacharjee, A., Rajbongshi, B. and Tripathy, A., Censored imputation of time to event outcome through survival proximity score method. Journal of Computational and Applied Mathematics, 451, 116103, 2024, https://doi.org/10.1016/j.cam.2024.116103, ISSN: 0377-0427, Elsevier, (SCI/Q1).
Singh, A. and Vishwakarma, G.K., A class of ratio and product types estimators of mean of a sensitive variable using ranked set sampling. Sankhya-B, https://doi.org/10.1007/s13571-024-00338-8, 2024, ISSN: 0976-8394, Springer Nature. (E-SCI/SCOPUS).
Singh, A., Kulkarni, H., Smarandache, F. and Vishwakarma, G.K., Computation of separate ratio and regression estimator under neutrosophic stratified sampling: an application to climate data. Journal of Fuzzy Extension and Applications, doi.org/10.22105/jfea.2024.422211.1313, 2024, ISSN: 2783-1442, Research Expansion Alliance, (SCOPUS).
Alam, Md. S., Kumar, D. and Vishwakarma, G.K., A review on advances in persistent scatterer interferometry and proposing a novel method for phase optimization of distributed scatterers pixels. Journal of Engineering Mathematics, 145(1):1-25, 2024, https://doi.org/10.1007/s10665-024-10354-2, ISSN: 1573-2703, Springer Nature, (SCIE/Q3).
Bhattacharjee, A., Vishwakarma, G.K., Tripathy, A. and Rajbongshi, B., Competing risk multistate censored data modeling by propensity score matching method. Nature Scientific Reports, 14, 4368, 2024, https://doi.org/10.1038/s41598-024-54149-y. ISSN 2045-2322, Nature Portfolio, (SCI-E/Q1).
Singh, H.P., Joshi, H. and Vishwakarma, G.K., Shrinkage estimation of qα in gamma density G(1/q, p) using prior information. Journal of Engineering Mathematics, 145(1): 1-25, 2024, https://doi.org/10.1007/s10665-023-10329-9, ISSN: 1573-2703, Springer Nature, (SCIE/Q3).
Vishwakarma, G.K. Weighted strategy for estimation of finite population mean in presence of auxiliary information. Measurement: Interdisciplinary Research and Perspectives, 22, 2327010, 2024, https://doi.org/10.1080/15366367.2024. 2327010, ISSN: 1536-6359, Taylor and Francis, (ESCI/SCOPUS).
Yadav, S.K., Vishwakarma, G.K. and Sharma, D.K., A computational strategy for estimation of mean using optimal imputation in presence of missing observation. Nature Scientific Reports, 14, 6433, 2024, https://doi.org/10.1038/s41598-024-57264-y, ISSN 2045-2322, Nature Portfolio, (SCI-E/Q1).
Bhattacharjee, A., Vishwakarma, G.K., Rajbongshi, B.K., and Tripathy, A., MIIPW: An R package for generalized estimating equations with missing data integration using a combination of mean score and inverse probability weighted approaches and multiple imputation. Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2023.121973, 238, 121973, 2024, ISSN: 0957-4174, Elsevier, USA. (SCI-E/Q1).
Singh, H.P., Vishwakarma, G.K., Joshi, H. and Gupta, S., Shrinkage estimation for square of location parameter of the exponential distribution with known coefficient of variation. Journal of Computational and Applied Mathematics, https://doi.org/10.1016/j.cam.2023.115489, 437, 115489, 2024, ISSN: 0377-0427, Elsevier, USA. (SCIE/Q1).
Vishwakarma, G.K., Kumar, A. and Kumar N., Two-stage unrelated randomized response model to estimate the prevalence of a sensitive attribute. Computational Statistics, 39, 865–890, 2024, https://doi.org/10.1007/s00180-023-01326-8, ISSN: 1613-9658, Springer Nature. (SCI/Q2).
Yadav, S.K., Arya, D., Vishwakarma, G.K., and Verma, M.K., Generalized ratio-cum-exponential-log ratio type estimators of population mean under simple random sampling scheme. Lobachevskii Journal of Mathematics, 44(9), 3888–3900, 2023, https://doi.org/10.1134/S1995080223090445, ISSN: 1818-9962, Russian Academy of Sciences and Kazan Federal University and Springer. (E-SCI/SCOPUS).
Vishwakarma, G.K., Gupta, S., and Elsawah, A.M.., Shrinkage estimation of location parameter for uniform distribution based on k-record values. Sankhya B, 85 (2), 405-419, https://doi.org/10.1007/s13571-023-00313-9, 2023, ISSN: 0976-8394, Springer Nature. (E-SCI/SCOPUS).
Vishwakarma, G.K., Bhattacharjee, A., Tank, F. and Pashchenko, A.F., Subgroup identification of targeted therapy effects on biomarker for time to event data. Cancer Biomarkers, 38, 413–424, 2023, https://doi.org/10.3233/CBM-230181, ISSN: 1875-8592, IOS Press, Inc., USA. (SCI-E/Q3).
Shukla, S., Singh, A. and Vishwakarma, G.K., Predictive estimation for mean under median ranked set sampling: an application to COVID-19 data. Indian Journal of Pure & Applied Mathematics, 2023, https://doi.org/10.1007/s13226-023-00470-7, ISSN: 0019-5588, Springer Nature. (SCI-E/Q3).
Gupta, S., Vishwakarma, G.K., and Elsawah, A.M., Shrinkage estimation of the location and scale parameters of logistic distribution under record values. Annals of Data Science, 11 (4), 1209-1224, 2023, https://doi.org/10.1007/s40745-023-00492-2, ISSN: 2198-5812, Springer Nature. (E-SCI/SCOPUS).
Vishwakarma, G.K., Computing the population mean on the use of auxiliary information under ranked set sampling. Scientia Iranica; International Journal of Science & Technology, 30 (6), 2083-2097, 2023, https://doi.org/10.24200/SCI.2023.57385.5213, ISSN: 1026-3098, Sharif University of Technology (Iran). (SCIE/Q3).
Vishwakarma, G.K., Paul, C., Hadi, A.S. and Elsawah, A.M., An automated algorithm for clustering multivariate data. Journal of Computational and Applied Mathematics, 429, 115219, 2023, https://doi.org/10.1016/j.cam.2023.115219, ISSN: 0377-0427, Elsevier, USA. (SCI/Q1).
Yadav, S.K., Vishwakarma, G.K., Varshney, R. and Pal, A. Improved memory type product estimator for population mean in stratified random sampling under linear cost function. SN Computer Science, https://doi.org/10.1007/s42979-023-01673-9, 2023, ISSN: 2661-8907, Springer Nature. (SCOPUS).
Bhattacharjee, A., Vishwakarma, G.K., Banerjee, S. and Ong, S.H., A modified risk detection approach of biomarkers by frailty effect on multiple time to event data. Journal of Computational and Applied Mathematics, 419, 114681, 2023, https://doi.org/10.1016/j.cam.2022.114681, ISSN: 0377-0427, Elsevier, USA. (SCI/Q1).
Vishwakarma, G.K., Bhattacharjee, A. and Banerjee, S., Handling missingness value on jointly measured time course and time-to-event data. Communications in Statistics-Simulation and Computation, 52(1) 126-141, 2023 https://doi.org/10.1080/03610918.2020.1851711, ISSN: 0361-0918, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q3).
Bhattacharjee, A., Vishwakarma, G.K., Gajare, N. and Singh, N., Time series analysis using different forecast methods and case fatality rate for COVID-19 pandemic, Regional Science, Policy and Practice, 15(3), 506-519, 2023, https://doi.org/10.1111/rsp3.12555, ISSN: 1757-7802, John Wiley & Sons, Inc. (E-SCI/SCOPUS).
Yadav, S.K., Vishwakarma, G.K. and Bari, T., Generalized double sampling family of estimators for population mean of sensitive variable harnessing non-sensitive auxiliary variable and attribute. Sankhya B, https://doi.org/10.1007/s13571-022-00299-w, 2022, ISSN: 0976-8394, Springer Nature. (E-SCI/SCOPUS).
Elsawah, A.M. and Vishwakarma, G.K., A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes. Computational and Applied Mathematics, https://doi.org/10.1007/s40314-022-02025-8, 2022, ISSN: 0377-0427, Springer Nature. (SCI-E/Q1).
Elsawah, A.M., Vishwakarma, G.K., Mohamed, H.S. and Fang, Kai-Tai, An adjusted gray map technique for constructing large four-level uniform designs. Journal of Systems Science & Complexity, 36, 433-456, 2022, https://doi.org/10.1007/s11424-023-1144-x, ISSN: 1559-7067, Springer. (SCI-E/Q3)
Vishwakarma, G.K., and Singh, A., Computing the effect of measurement errors on ranked set sampling estimators of the population mean. Concurrency and Computation: Practice and Experience, https://doi.org/10.1002/cpe.7333, 2022, ISSN: 1532-0634, John Wiley & Sons Ltd. (SCI/Q2).
Bhattacharjee, A., Vishwakarma, G.K., Banerjee, S., and Pashchenko, A.F., highMLR: an open-source package for R with machine learning for feature selection in high dimensional cancer clinical genome time to event data. Expert Systems with Applications, 210, 118432, https://doi.org/10.1016/j.eswa.2022.118432. 2022, ISSN: 0957-4174, Elsevier, USA. (SCI-E/Q1).
Singh, N., Vishwakarma, G.K., Singh, H.P. and Kumar N., Estimation of mean of sensitive variable using multiplicative scramble variable under measurement error. Journal of Statistical Theory and Practice. https://doi.org/10.1007/s42519-022-00272-w, 2022, ISSN: 1559-8608, Grace Scientific Publishing and Springer Nature. (ESCI/SCOPUS).
Vishwakarma, G.K., Yadav, S. and Bari, T., Generalized difference-cum exponential class of estimators for estimating population parameters of the sensitive variable. Mathematical Problems in Engineering. 2022, 7890489, (11),
https://doi.org/10.1155/2022/7890489, ISSN: 1563-5147, Hindawi. (SCI/Q3).
Khare, G., Kumar, V., Sardana, S. and Vishwakarma, G.K., Geoenvironmental and geotechnical assessment of soil slopes in the vicinity of Atal tunnel in Himachal Pradesh, India. Geomatics Natural Hazards and Risk, 13(1), 1251-1269, https:// doi.org /10.1080/19475705.2022.2068456, 2022, ISSN: 1947-5713, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q2).
Vishwakarma, G.K. and Singh, A., Generalized estimator for computation of population mean under neutrosophic ranked set technique: An application to solar energy data. Computational and Applied Mathematics, 41:144, https:// doi.org/10.1007/s40314-022-01820-7, 2022, ISSN: 0377-0427, (SCI-E/Q1).
Vishwakarma, G.K., Singh, N. and Kumar, N., A computational framework for estimation of mean in presence of observational error. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.6842, 2022, ISSN: 1532-0634, John Wiley & Sons Ltd. (SCI/Q2).
Vishwakarma, G.K., Kumari, P. and Bhattacharjee, A., Thresholding of prominent biomarkers of breast cancer on overall survival using classification and regression tree. Cancer Biomarkers, 34(2), 319–328, https://doi.org/10.3233/CBM-210470, 2022, ISSN: 1875-8592, IOS Press, Inc., USA. (SCI-E/Q1).
Gangele, R.K., Vishwakarma, G.K. and Choubey, S.K., An efficient class on linear combination of ratio type estimators for estimating the population mean. Thailand Statistician, 20(2): 284-292, 2022, https://ph02.tci-thaijo.org/index.php /thaistat/article/view/246341, ISSN: 2351-0676, Thai Statistical Association, Thailand (SCOPUS).
Vishwakarma, G.K. and Gupta, S., Shrinkage estimator for scale parameter of gamma distribution. Communications in Statistics-Simulation and Computation, 51(6), 3073-3080, https://doi.org/10.1080/03610918.2019.1705976, 2022, ISSN: 0361-0918, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q3).
Vishwakarma, G.K. Gupta, S. and Singh, C.K., Efficient class of estimators for population variance using auxiliary information in presence of non-response. Thailand Statistician, 20(4): 873-891, 2022, https://ph02.tci-thaijo.org/index.php/thaistat/article/view/247471, ISSN: 2351-0676, Thai Statistical Association, Thailand (SCOPUS).
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, 51, 2, 604–625, 2022, https://doi.org/10.1080/03610918.2019.1656742, ISSN: 0361-0918, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q3).
Yadav, S.K., Vishwakarma, G.K. and Kumar, N., Improved estimation strategy for population mean using auxiliary information. Lobachevskii Journal of Mathematics, 43(1), 3308-3316, 2021, https://doi.org/10.1134/S1995080222010255, ISSN: 1818-9962, Russian Academy of Sciences and Kazan Federal University and Springer. (E-SCI/SCOPUS).
Vishwakarma, G.K., Sayed, Md. Z. and Cekim, H.O., An alternative perspective on estimators. Lobachevskii Journal of Mathematics, 42(13), 3297-3307, 2021, https://doi.org/10.1134/S1995080222010243, ISSN: 1818-9962, Russian Academy of Sciences and Kazan Federal University and Springer. (E-SCI/SCOPUS).
Sayed, Md. Z. and Vishwakarma, G.K., Improved strategy for computation of population mean under double stratified sampling framework. Journal of Applied Mathematics Statistics and Informatics, 17(2), 91-102, 2021, ISSN: 1339-0015, De Gruyter, German (E-SCI).
Vishwakarma, G.K. Bhattacharjee, A. and Kumar, N., Missing data handling technique in joint modeling context. Biomedical Engineering Advances, https://doi.org/10.1016/j.bea.2021.100012, 2021, ISSN: 2667-0992, Elsevier, USA. (SCI-E).
Vishwakarma, G.K., Paul, C. and Elsawah, A.M., A hybrid feedforward neural network algorithm for detecting outliers in non-stationary multivariate time series. Expert Systems with Applications, 184, 115545, https://doi.org/10.1016/j.eswa. 2021.115545, 2021, ISSN: 0957-4174, Elsevier, USA. (SCI-E/Q1).
Jose, J., Vishwakarma, G.K. and Bhattacharjee, A., Illustration of missing data handling technique generated from hepatitis C induced hepatocellular carcinoma cohort study. Journal of King Saud University – Science, 33(4), 101403, https://doi.org/10.1016/j.jksus.2021.101403, 2021, ISSN: 1018-3647, Elsevier, USA. (SCI-E/Q2).
Vishwakarma, G.K. and Singh, N., Computing the effect of measurement errors under additive scramble response for sensitive variable. Journal of Computational and Applied Mathematics, 395, 113593, https://doi.org/10.1016/j.cam. 2021.113593, 2021, ISSN: 0377-0427, Elsevier, USA. (SCI/Q1).
Sayed, Md. Z., Vishwakarma, G.K., and Kumar, M., An efficient variant of dual to product and ratio estimators in sample surveys. Communications Faculty of Sciences University of Ankara Series A1-Mathematics and Statistics, 70(2), 997-1010, 2021, ISSN: 2618-6470, Ankara University Turkey. (E-SCI).
Vishwakarma, G.K., Singh, N. and Singh, S.P., Computing the average body mass index: A study with systematic sampling using auxiliary information. Mathematical Problems in Engineering. https://doi.org/mpe.9291313, 2021, ISSN: 1563-5147, Hindawi. (SCI/Q3).
Vishwakarma, G.K., Thomas, A., and Bhattacharjee, A., A weight function method for selection of proteins to predict an outcome using protein expression data. Journal of Computational and Applied Mathematics, 391, 113465, 2021, https://doi.org/10.1016/j.cam.2021.113465, ISSN: 0377-0427, Elsevier, USA. (SCI/Q1).
Singh, N. and Vishwakarma, G.K., Computing the effect of measurement errors on the use of auxiliary information under systematic sampling. Communications in Statistics–Theory and Methods, https://doi.org/10.1080/03610926.2020.1868513, 2021, ISSN: 0361-0926, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q4).
Jose, J., . . . , Vishwakarma, G.K., Bhattacharjee, A. et. al., Middle-east respiratory syndrome in critically ill patients with diabetes: a multicenter observational study of clinical presentation, management and outcomes. BMC Infectious Diseases, 21:84, https://doi.org/10.1186/s12879-021-05771-y, 2021, ISSN: 1471-2334, Biomed Central Ltd & Springer. (SCI-E/Q3).
Thomas, A., Vishwakarma, G.K., and Bhattacharjee, A., Joint modeling of longitudinal and time-to-event data on multiple protein biomarkers. Journal of Computational and Applied Mathematics, 381, 113016, https://doi.org/ 10.1016/j.cam.2020.113016, 2021, ISSN: 0377-0427, Elsevier, USA. (SCI/Q1).
Singh, A. and Vishwakarma, G.K., Improved predictive estimation for mean using the searls technique under ranked set sampling. Communications in Statistics–Theory and Methods, 50(9), 2015–2038, https://doi.org/10.1080/03610926. 2019.1657456, 2021, ISSN: 0361-0926, Taylor & Francis, Inc, Philadelphia. (SCI-E/Q4).
Kumar, A., Vishwakarma, G.K. and Singh, G.N., An efficient mixed randomized response model for sensitive characteristic in sample survey. REVSTAT-Statistical Journal, 19, 4, 531–551, 2021, ISSN: 1645-6726, National Statistics Institute, Statistics Portugal. (SCI-E/Q4).
Vishwakarma, G.K., Singh, N. and Gangele, R.K., Variance estimation in the presence of measurement errors under stratified random sampling. REVSTAT-Statistical Journal, 19, 2, 275–290, 2021, ISSN: 1645-6726, National Statistics Institute, Statistics Portugal. (SCI-E/Q4).
Mondal, A., Paul, C. Vishwakarma, G.K. and Upadhyay, R.K., Parameter estimation in a spiking-bursting H-R neural model with random fluctuation. Differential Equations and Dynamical Systems, 29, 4, 857–869, https://doi.org/10.1007/ s12591-017-0355-9, 2021, ISSN: 0971-3514, Springer Inc. (E-SCI/SCOPUS).
Vishwakarma, G.K., Paul, C. and Elsawah, A.M., An algorithm for outlier detection in a time series model using backpropagation neural network. Journal of King Saud University – Science, 32(8), 3328-3336. https://doi.org/10.1016/j.jksus.2020.09. 018, 2020, ISSN: 1018-3647, Elsevier, USA. (SCI-E/Q2).
Bouza-Herrera, C.N., Viada, C. and Vishwakarma, G.K. Studying the total under missingness by guessing the value of a superpopulation model for imputation. Revista Investigacion Operacional, 41, 7, 979-989, 2020, ISSN: 0257-4306, Universidad de La Habana, Cuba. (SCOPUS).
Vishwakarma, G.K., Singh, N., A generalized class of estimators for mean in presence of measurement error. Revista Investigacion Operacional, 41, 7, 961-969, 2020, ISSN: 0257-4306, Universidad de La Habana, Cuba. (SCOPUS).
Vishwakarma, G.K., Singh, A. and Singh, N., Calibration under measurement errors. Journal of King Saud University – Science, 32(7), 2950-2961. https://doi.org/ 10.1016/j.jksus.2020.07.017, 2020, ISSN: 1018-3647, Elsevier, USA. (SCI-E/Q2).
Vishwakarma, G.K., Bhattacharjee, A., Banerjee, S. and Liquet, B., Classification algorithm for high dimensional protein markers in time-course data. Statistics in Medicine, https://doi.org/10.1002/SIM.8720, 39(28), 4201-4217, 2020, ISSN: 1097-0258, John Wiley & Sons Ltd. (SCI/Q2).
Bhattacharjee, A., Vishwakarma, G.K., Banerjee, S. and Shukla, S., Disease progression of cancer patients during COVID-19 pandemic: a comprehensive analytical strategy by time dependent modelling. BMC Medical Research Methodology, https://doi.org/10.1186/s12874-020-01090-z, 20, 209, 2020, ISSN: 1471-2288, Biomed Central Ltd & Springer. (SCI-E/Q1).
Kumar, A., Singh, G.N. and Vishwakarma, G.K., An efficient survey technique for estimating the proportion and sensitivity attributes in a dichotomous fini
Vishwakarma, G.K. and Paul, C., Prediction based portfolio optimization model using neural networks with an emphasis on leading stocks of NSE, Proceedings 2nd ISI Regional Statistics Conference-2017, 1-7, 2017, ISBN: 978-602-61659-0-9, Bank of Indonesia.
Vishwakarma, G.K. and Paul, C., Relation between foreign institutional investments and macro-economic factors - a case study. Proceedings of International Symposium on Computational and Business Intelligence-2014, 39-42, 2015, ISBN: 978-1-4799-7551-8, IEEE Xplore. (SCOPUS).
Venkataramana, B., Chatterjee, S. and Vishwakarma, G.K., An efficient algorithm to handle the combinatorial sets of network reliability. Proceedings of Mathematical and Computational Sciences-2015, 86-92, 2015, ISBN: 978-81-8487-456-3, Narosa Publishing House.
Vishwakarma, G.K., A class of estimators based on double sampling for stratification. Proceedings of the international conference on Statistical Concepts and Methods for the Modern World-2011, 176-190, 2011, ISBN 978-955-0056-01-9, Institute of Applied Statistics, Sri Lanka. Patents: Machine learning tools for selecting feature from high dimensional data, Bhattacharjee, A., and Vishwakarma, G.K. The Patent Office Journal, No. 45/2023 Dated 10/11/2023, 76581. https://search.ipindia.gov.in/IPOJournal/Journal/ ViewJournal Missing data integration using a combination of mean score and inverse probability weighted approaches and multiple imputation, Vishwakarma, G.K. and Bhattacharjee, The Patent Office Journal, No. 45/2023 Dated 10/11/2023, 76580. https://search.ipindia.gov.in/IPOJournal/Journal/ViewJournal
Packages: Bhattacharjee, A., Vishwakarma, G.K. and Kumar, N. (2024). MIGEE: Impute Missing Values and Fitting Linear Mixed Effect Model. R package, version 0.1.0, https://CRAN.R-project.org/package=MIGEE Bhattacharjee, A., Rajbongshi, B. and Vishwakarma, G.K.,(2024). dscoreMSM: Survival Proximity Score Matching in Multi-State Survival Model. R package version 0.1.0, https://CRAN.R-project.org/package=dscoreMSM Bhattacharjee, A., Rajbongshi, B.K. and Vishwakarma, G.K. (2023). MIIPW: IPW and Mean Score Methods for Time-Course Missing Data. R package, version 0.1.0, https://cran.r-project.org/package=MIIPW Bhattacharjee, A., Rajbongshi, B.K. and Vishwakarma, G.K. (2022). jmBIG: Joint Longitudinal and Survival Model for Big Data. R package, version 0.1.0, https://CRAN.R-project.org/package=jmBIG Bhattacharjee, A., Vishwakarma, G.K. and Banerjee, S. (2022). highMLR: Feature Selection for High Dimensional Survival Data. R package, version 0.1.1, https://CRAN.R-project.org/package=highMLR Bhattacharjee, A., Vishwakarma, G.K. and Kumari, P. (2021). afthd: Accelerated Failure Time for High Dimensional Data with MCMC. R package, version 1.1.0, https://cran.r-project.org/package=afthd Papers in conference abstract volumes / presented
Patents
Details of R&D Projects:
|
Sl. No |
Title of Project |
Funding Agency |
Role as PI/ Co-PI |
Ref. No. |
Duration |
Amount (INR) |
Status |
|
1 |
Joint modelling of longitudinal and time-to-event data with multiple imputation |
CSIR, Govt of India
|
PI |
25(0307)/20/EMR-II
|
3 Years (w.e.f. 01 Mar 2021) |
19,37,760/- Major |
Completed (2024)
|
|
2 |
Machine Learning Algorithms and Models for Anomaly Detection in High-Dimensional |
SERB, DST, Govt of India |
PI |
SIR/2022/000769 |
04 Months (w.e.f. 19 Dec 2022) |
11,19,490/- Major |
Completed (2023) |
|
3 |
Development, Automation, and Field Trial of a Versatile Multi-Temporal InSAR (MT-InSAR) Processing Tool for in-depth monitoring of Land Surface Deformation in Mining Environment |
TiH, TexMin Foundation, India |
Co-PI |
PSF-IH-1Y-005 (TexMin/ Projects/ 2021/02) |
1 Year (w.e.f. 15 May 2021) |
10,000,00/- Major |
Completed (2022)
|
|
4 |
Normal activity initiation by using artificial intelligence based technology to fight against COVID-19 in different hotspots of India |
ICSSR, Govt of India |
PD |
COVID/307/27/2020-21/ICSSR |
9 Months (w.e.f. 01 Mar 2021) |
5,14,500/- Major |
Completed (2021)
|
|
5 |
Bayesian Individual-level modeling of the spread of COVID-19 pandemic in presence of lockdown |
SERB, DST, Govt of India |
Co-PI |
MSC/2020/000063 |
1 Year (w.e.f. 26 June 2020) |
5,50,000/- Major |
Completed (2021) |
|
6 |
Efficient estimation procedures using imputation for missingness |
TEQIP-III, IIT(ISM) Dhanbad |
PI |
MRP/2018 /00011 |
2 Years (w.e.f. 15 Sep 2018) |
2,00,000/- Minor |
Completed (2020) |
|
7 |
Joint modeling of event time and non-ignorable missing covariate data in survival and longitudinal analysis |
SERB, DST, Govt of India |
PI |
EMR/2016 /003305
|
3 Years (w.e.f. 27 March 2017) |
16,96,342/- Major |
Completed (2020) |
|
8 |
A phase II/III, multi-center, placebo-controlled, double blind, randomized, parallel group study to establish the efficacy of LLL-2011 administered as a 1% nasal spray in the…. |
DST Govt of India & Lupin Limited, India |
Co-PI |
LRP/CTP/017/2011/III/01 |
3 Years |
Major |
Completed (2010) |
|
9 |
A phase IIb/III, multi-center, randomized, parallel group, controlled study to evaluate the efficacy and safety of 750 mg and 1000 mg of LLL-3348 of Lupn Limited in moderate to severe chronic stable plaque type of Psoriasis |
DST Govt of India & Lupin Limited, India |
Co-PI |
LRP/CTP/019/3348/III/01 |
3 Years |
Major |
Completed (2010) |
|
10 |
A phase III, randomized, multi- centre, double-blind, parallel- group, active and placebo- controlled comparative clinical study of Rifaximin 200mg Tablets of Lupin Limited, India, with reference to Xifaxan 200mg |
Lupin Limited, India |
Co-PI |
LRP/CRU/GEN/002/ III/01 |
1 Years |
Major |
Completed (2009) |
Details of Short-Term Courses/Consultancy programme:
|
Sl. No |
Title of Course/ Workshop |
Funding Agency |
Role as CI/Co-CI |
Duration |
Amount (INR) |
Status |
|
1 |
Statistical Modeling Through Simulation in R |
MMTTP, UGC GoI |
CI |
06 Days April 2025 |
4,65,300/- |
To be Successfully Completed |
|
2 |
Research, Writing and Analysis
|
MMTTP, UGC GoI |
CI |
12 Days Nov 11-22, 2024 |
2,70,600/- |
Successfully Completed |
|
3 |
GIAN Course on Option Pricing: A Computational Framework |
MHRD, Govt. of India |
CI 191058K01 |
6 Days Dec 18-23, 2023 |
6,58,000/- |
Successfully Completed |
|
4 |
GIAN Course on Big Data Analysis through Copula |
MHRD, Govt. of India |
CI 191058K02 |
6 Days Dec 11-16, 2023 |
6,58,000/- |
Successfully Completed |
|
5 |
National Workshop on Statistical Computing with R |
Self Financed |
CI |
2 Days Nov 02-03, 2019 |
7,500.00/- |
Successfully Completed |
|
6 |
GIAN Course on Derivative Pricing |
MHRD, Govt . of India |
CI 171058K02 |
7 Days April 24-30, 2019 |
5,44,000/- |
Successfully Completed |
|
7 |
Applications of Statistics in Advanced Research |
Self Financed |
CI CONS/3375/ 2016-2017 |
5 Days Nov 24-28, 2016 |
1,82,000/-
|
Successfully Completed |
|
8 |
Applications of Statis- tical Tools in Research & Data Analysis |
Self Financed |
Co-CI CONS/3109/ 2015-2016 |
4 Days Feb 08-11, 2016 |
1,57,000/- |
Successfully Completed
|
|
|
Sl. No |
Name of the Ph.D. Student |
Full Time/ Part Time |
Department |
Registration No |
Month & Year |
Status
|
|
|
1 |
Manish Kumar |
Full Time |
Applied Mathematics |
2012/DR/0159/ App. Math/Acad |
Aug, 2012 |
Awarded (Mar 2016) |
|
|
Title of the Thesis: On the Improvement of Estimation Procedures in Sample Surveys |
||||||
|
|
Placed as Assistant Professor: Department of Agricultural Statistics, Acharya Narendra Deva University of Agric & Technology Faizabad- 224229, India |
||||||
|
|
2 |
Chinmoy Paul |
Full Time |
Applied Mathematics |
2013/DR/0185/ App. Math/Acad |
July, 2013 |
Awarded (Oct 2017) |
|
|
Title of the Thesis: Estimation Procedures for Regression and Time Series Models Using Neural Network |
||||||
|
|
Placed as Assistant Professor: Department of Statistics Pandit Deendayal Upadhyaya Adarsha Mahavidyalaya, Karimganj – 788723, India |
||||||
|
|
3 |
Venkataramana, B. |
Full Time (Co-Guide) |
Applied Mathematics |
2013/DR/0122/ App. Math/Acad |
Feb, 2013 |
Awarded (Jan 2018) |
|
|
Title of the Thesis: Evaluation of Network Reliability Using Optimal Reduced Ordered Binary Decision Diagrams |
||||||
|
|
Placed as Assistant Professor: Department of Mathematics, Vellore Institute of Technology, Vellore-632014, India |
||||||
|
|
4 |
Sayed Mohammed Zeeshan |
Full Time |
Applied Mathematics |
2013/DR/0177/ App. Math/Acad |
July, 2013 |
Awarded (June 2019) |
|
|
Title of the Thesis: Some Efficient Estimation Procedures for Population Mean in Sample Surveys |
||||||
|
|
Placed as Assistant Professor: School of Advanced Sciences & Languages Vellore Institute of Technology, Bhopal-466114, India |
||||||
|
|
5 |
Amod Kumar |
Full Time (Co-Guide) |
Mathematics & Computing |
2015/DR/0019/ App. Math/Acad |
Feb, 2015 |
Awarded (Jun 2020) |
|
|
Title of the Thesis: Effective Estimation Procedures for Population Parameters of Sensitive Characteristics Using Randomized Response Techniques. |
||||||
|
|
Placed as Assistant Professor: Department of Biostatistics, Faculty of Medical Science, Santosh University, Ghaziabad -201009, India |
||||||
|
|
6 |
Neha Singh |
Full Time |
Mathematics & Computing |
2015/DR/0132/ App. Math/Acad |
July, 2015 |
Awarded (Feb 2021) |
|
|
Title of the Thesis: Estimation Procedures for Population Parameters using Auxiliary Information in Presence of Measurement Error |
||||||
|
|
Placed as Assistant Professor: Department of Mathematics Amrita Vishwa Vidyapeetham Coimbatore, Tamil Nadu, India |
||||||
|
|
7 |
Abin Thomas |
Part Time (Jointly) |
Mathematics & Computing |
2015/DR/1166/ App. Math/Acad |
Oct, 2015 |
Awarded (Mar 2021) |
|
|
Title of the Thesis: Modeling of Gene Expression for Cancer Biomarkers using Bayesian Framework |
||||||
|
|
Placed as Assistant Professor: Centre for Trials Research Cardiff University Cardiff CF10 3AT, United Kingdom |
||||||
|
|
8 |
Jesna Jose |
Part Time (Jointly) |
Mathematics & Computing |
2015/DR/1165/ App. Math/Acad |
Oct, 2015 |
Awarded (Oct 2021)
|
|
|
Title of the Thesis: Modelling of Missing Observations in Longitudinal Measurements |
||||||
|
|
Placed as Research Associate: Department of Biostatistics & Bioinformatics King Abdullah International Medical Research Centre, Riyadh 11481, Saudi Arabia |
||||||
|
|
9 |
Shubham Gupta |
Full/Part Time |
Mathematics & Computing |
2015/DR/0121/ App. Math/Acad |
July, 2015 |
Awarded June 2022 |
|
|
Title of the Thesis: Estimation of Parameters Using Shrinkage Technique with Prior Information |
||||||
|
|
Placed as Assistant Statistical Officer, Planning Commission Delhi Government, New Delhi |
||||||
|
|
10 |
Souvik Banerjee |
Full Time |
Mathematics & Computing |
2017/DR/0488/ App. Math/Acad |
Aug, 2017 |
Awarded Oct 2022 |
|
|
Title of the Thesis: Modelling and Classification of Longitudinal Covariates with Missing Observations |
||||||
|
|
Placed as Senior Biostatistician: Department of Biostatistics Novartis Healthcare Pvt Ltd, Madhapur, Hyderabad- 500081, India |
||||||
|
|
11 |
Abhishek Singh |
Full Time |
Mathematics & Computing |
2017/DR/0566/ App. Math/Acad |
Aug, 2017 |
Awarded Nov 2022 |
|
|
Title of the Thesis: Improved Estimation Procedures Under Ranked Set Sampling |
||||||
|
|
Placed as Assistant Professor: Department of Mathematics & Statistics MIT World Peace University Paud Road, Kothrud, Pune-411038, India |
||||||
|
|
12 |
Geshu Khare |
Part Time |
Environmental Science & Engg |
2016DP0139/ ESE/Acad |
Sep, 2016 |
Awarded Dec 2022 |
|
|
Title of the Thesis: An Investigation into the effects of microbially induced calcite precipitation on the mechanical stability of soils from Rohtang, Himachal Pradesh, India |
||||||
|
|
Placed as Research Associate: Microbiologist Varanasi |
||||||
|
|
13 |
Pragya Kumari |
Full Time |
Mathematics & Computing |
2019/DR/0106/ App. Math/Acad |
Aug, 2019 |
Ongoing |
|
|
Title of the Thesis: Bayesian Models of Classification for High Dimensional Gene Expression Data |
||||||
|
|
Senior Research Fellow: Department of Mathematics & Computing, IIT Dhanbad |
||||||
|
|
14 |
Abhipsa Tripathy |
Full Time |
Mathematics & Computing |
21DR0005 M&C/Acad |
Aug, 2021 |
Ongoing |
|
|
Title of the Thesis: Modelling and Implementation of Time to Death Risk Prediction |
||||||
|
|
Senior Research Fellow: Department of Mathematics & Computing, IIT Dhanbad |
||||||
|
|
15 |
Bhrigu Kumar Rajbongshi |
Full Time |
Mathematics & Computing |
21DR0040 M&C/Acad |
Aug, 2021 |
Ongoing |
|
|
Title of the Thesis: Joint Modelling of Longitudinal and Time-to-event Data with Multiple Imputation |
||||||
|
|
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