Dr. Ramesh Kumar Huda
Designation: Scientist - C
Research interest: Data Management & Analysis, Machine Learning, Information Technology and Computer Science & Engineering
Dr. Ramesh Kumar Huda is currently working as Scientist-C (IT) of ICMR-NIIRNCD, Jodhpur. Previously he was working as an Assistant Professor of Computer Science and Engineering at MBM Engineering College (JNVU), Jodhpur. He has done his B.Tech in Computer Science and Engineering (CSE) from Rajasthan Technical University, Kota and M.Tech & Ph.D. in CSE from IIT, Dhanbad. He is also an Editorial Board Member of the Journal "Information Engineering and Applied Computing" and has published papers in various Journals.
Academic Qualifications & Training:
- B.Tech (Computer Science & Engineering - RTU Kota) - M.Tech (Computer Science & Engineering - IIT Dhanbad) - Ph.D. (Machine Learning -IIT Dhanbad)
1. Murhekar, Manoj V.,....., Ramesh Kumar Huda. et al. "SARS-CoV-2 sero-prevalence among general population and healthcare workers in India, December 2020-January 2021." International Journal of Infectious Diseases (2021). 2. Ramesh Kumar Huda, H. Banka, “Efficient Feature Selection Method based on PSO and Rough Set”, Neural Computing and Applications , (Springer), 2018, pp.1-33, (SCI). 3. Ramesh Kumar Huda, H. Banka, “New efficient initialization and updating mechanisms in PSO for feature selection and classification”, Neural Computing and Applications , (Springer), 1-12, (SCI). 4. Ramesh Kumar Huda and H. Banka, “A group evaluation based binary PSO algorithm for feature selection in high dimensional data”, Evolutionary Intelligence (Springer),(2020): 1-15, (SCOPUS). 5. Ramesh Kumar Huda, H. Banka, “Feature Selection Method using CFO and Rough Sets for Medical Dataset ", Accepted (Springer) in (2020). 6. Murhekar, Manoj V., et al. "SARS-CoV-2 antibody seroprevalence in India, August–September, 2020: findings from the second nationwide household serosurvey." The Lancet Global Health 9.3 (2021): e257-e266. 7. Mohanty SS, Parihar S, Huda RK, Toteja GS, Sharma AK. Prevalence of sickle cell anemia, β-thalassemia and glucose-6-phosphate dehydrogenase deficiency among the tribal population residing in the Aravali hills of Sirohi region of Rajasthan state. Clinical Epidemiology and Global Health. 2022 Jan 1;13:100916. 8. Huda RK, Banka H. Efficient feature selection methods using PSO with fuzzy rough set as fitness function. Soft Computing. 2022 Mar;26(5):2501-21. 9. Murhekar, Manoj V., et al. "Prevalence of SARS-CoV-2 infection in India: Findings from the national serosurvey, May-June 2020." Indian Journal of Medical Research 152.1-2 (2020): 48-60.
1. Study to evaluate the effectiveness of BCG vaccine in Reducing Morbidity in Elderly individuals in COVID-19 Hotspots in India. (As Co-PI) 2. World Health Organization (WHO) funded Agreement to Perform Work (APW) project titled “Defining and Mapping of Implementation Research on Non-Communicable Diseases in India" (As Co-PI)
Sr. No. Project Name 1. Screening Of Tribal Population For Sickle Cell Anemia In Abu Road & Pindwara Blocks Of Sirohi District, Gogunda Block Of Udaipur District and In Kishanganj And Sahabad Blocks Of Baran District. (As Co-PI) 2. Strengthening state non-communicable disease programme for early detection of breast cancer involving strategic education and awareness among women. (As Co-PI) 3. Social Determinants of Low Birth Weight: A Hospital-Based Study (As Co-PI) 4. Jodhpur urban air quality monitoring project (JUMP) (As Co-PI) 5. Spatial analysis of the association between air pollution, cancer and selected NCDs’ and their risk factors in India (As Co-PI)