Assistant Professor Department of Artificial Intelligence & Machine Learning
abhishek.kesarwani@jaipur.manipal.edu
8987490027
PHD, NIT, DURGAPUR, PURSUING
M.TECH., NIT, ROURKELA, 2018
B.E., CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY ,2016
Image Processing
Deep Learning
GATE 2016
GATE 2017
UGC-NET 2019
Section Coordinator
KPI 40
IEEE
A. Kesarwani, S. Das, M. Dalui, D.R. Kisku, B. Sen, S. Roy, and A. Basu, "Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach," Biomedical Signal Processing and Control, vol. 79, p. 104045, 2023, doi: https://doi.org/10.1016/j.bspc.2022.104045
A. Kesarwani and P.M. Khilar, "Development of trust-based access control models using fuzzy logic in cloud computing," Journal of King Saud University-Computer and Information Sciences, vol. 34, no. 5, pp. 1958-1967, May 2022, doi: https://doi.org/10.1016/j.jksuci.2019.11.001
A. Kesarwani, S. Das, M. Dalui, and D.R. Kisku, "Non-invasive Haemoglobin Estimation Using Different Colour and Texture Features of Palm," International Conference on Computer Vision and Image Processing, pp. 176-189, November 2022, Cham: Springer Nature Switzerland, doi: https://doi.org/10.1007/978-3-031-31417-9_14
A. Kesarwani, K. Purohit, M. Dalui, and D.R. Kisku, "Measuring the degree of suitability of edge detection operators prior to an application," 2020 IEEE Applied Signal Processing Conference (ASPCON), pp. 128-133, October 2020, IEEE, doi: https://doi.org/10.1109/ASPCON49795.2020.9276678
S. Das, A. Kesarwani, M. Dalui, D.R. Kisku, B. Sen, S. Roy, and A. Basu, "Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor," Biomedical Signal Processing and Control, vol. 85, pp. 104959, March 2023, doi: https://doi.org/10.1016/j.bspc.2023.104959