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Rakesh Kumar Saroj

Rakesh Kumar Saroj
Rakesh Kumar Saroj
Assistant Professor
Centre/School/Special Centre
School of Computational and Integrative Sciences
Room No
34
Off. Phone
011-2670-4726
Residence
+91-9454196475
Email
rakeshsaroj[at]mail[dot]jnu[dot]ac[dot]in, rakeshsaroj[at]jnu[dot]ac[dot]in
Personal Webpage
https://jnu.ac.in
Qualifications

M.Sc. and Ph.D. in Biostatistics from the Institute of Medical Sciences-Banaras Hindu University.

Areas of Interest/Specialization
  • Biostatistics, Survival Analysis, Competing Risk and Multivariate Analysis,
  • Machine Learning
  • Epidemiology and Public Health
  • Research Methodology
Experience
  • April 23-Present Working as Assistant Professor in SC&IS- Jawaharlal Nehru University, New Delhi.
  • April 21 -Apri-23, Worked as Assistant Professor at Sikkim Manipal University, Gangtok –Sikkim.
  • Aug 19–March 21 –Worked as Assistant Professor at SRM University, Gangtok –Sikkim.
  • Aug 18–Aug 19 Worked as Research Fellow at Centre for Infectious Disease Research in Zambia (CIDRZ), Lusaka
Awards & Honours
  • Editorial Board Member of Social Sciences & Humanities Open(@Elsevier)
  • Invited as a Resource Person for the workshop on the Application of Artificial Intelligence in Health Research organized by the Directorate of Research-Sikkim Manipal University,16th - 18th Feb 2023.
  • Invited as a Resource Person for Taking Classes in R Statistical Software for the Seven Days Capacity Building Program on Teaching and Research Organized by the Department of Economics, Christ University, Bangalore,18th July – 25th July 2022.
  • Speaker for 1st International Science Diplomacy Awareness Workshop organized by Scientists for Science Diplomacy Initiative with NRC in Egypt and The Japan Society for the Promotion of Science (JSPS), 20-22 March 2021.
  • The CODATA-RDA online Research Data Science Summer School from 31st August-11th September- 2020, at The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy.
  • Invited lecture for ICSSSR sponsored ten days Research Methodology course organized by the Department of Management, Sikkim University from 14-23 September 2020, Gangtok.
  • Guest speaker for an international webinar on “COVID-19 crisis and the sustainable development goals: Rule of the science & Health challenges” collaborating with NRC in Egypt and The Japan Society for the Promotion of Science (JSPS), 9-13 August 2020.
  • Judging Panelist - Data Science in Healthcare and Data Science in the Public Sector, 2019, 2020 at Data Science Foundation, Greater Manchester, U.K.
  • Travel Grant Award for Workshop on Quantitative Methods for Public Health Researchers of the SAARC Countries, Organized by International Statistical Institute at Kolkata University,16.
International Collaboration/Consultancy

-

Best Peer Reviewed Publications
  • Saroj, R. K., Yadav, P. K., Singh, R., & Chilyabanyama, O. (2022). Machine Learning Algorithms for understanding the determinants of under-five Mortality. BioData mining, 15(1), 1-22.
  • Saroj, R.K. et.al. (2022). Performance of Machine Learning Classifiers in Classifying Stunting among Under-Five Children in Zambia. Children, 9(7), 1082.
  • Saroj, R. K., & Anand, M. (2021). Environmental factors prediction in preterm birth using the comparison between logistic regression and decision tree methods: an exploratory analysis. Social Sciences & Humanities Open, 4(1), 100216.
  • Saroj, R. K., Murthy, K. N., Kumar, M., Bhattacharjee, A., & Patel, K. K. (2021). Bayesian competing risk analysis: An application to nasopharyngeal carcinoma patients’ data. Computational and Systems Oncology, 1(1), e1006.
  • Kumar, M., Sonker, P. K., Saroj, A., Jain, A., Bhattacharjee, A., & Saroj, R. K. (2020). Parametric survival analysis using R: Illustration with lung cancer data. Cancer Reports, 3(4), e1210.
  • Anand, M., Singh, L., Saroj, R., & Taneja, A. (2016). Dichlorodiphenyltrichloroethane and hexachlorocyclohexane exposure through the environment and risk of preterm birth: Indian scenario. Toxicology Letters, (258), S185.
Recent Peer Reviewed Journals/Books
  • Saroj, Rakesh Kumar, and Kanchan Yadav. "Prediction and Classification Machine Learning Models in Diabetic Studies." Socio-Scientific Interaction in Diabetes and Cancer and Its Management (2023): 147. (Book Chapter).
  • Mubiana-Mbewe, M., Bosomprah, S., Saroj, R.K. et al. (2023). Development and validation of a novel scale for antiretroviral therapy readiness among pregnant women in urban Zambia with newly diagnosed HIV infection. AIDS Research and Therapy, 20(1), 1-9.
  • Saroj, R. K., Yadav, P. K., Singh, R., & Chilyabanyama, O. (2022). Machine Learning Algorithms for understanding the determinants of under-five Mortality. BioData mining, 15(1), 1-22.
  • Saroj, R. K., & Anand, M. (2021). Environmental factors prediction in preterm birth using the comparison between logistic regression and decision tree methods: an exploratory analysis. Social Sciences & Humanities Open, 4(1), 100216.
Patents (if any)

NA