Associate Professor & Deputy HoD Department of Computer Science & Engineering
mahesh.jangid@jaipur.manipal.edu
PHD, MANIPAL UNIVERSITY JAIPUR, 2018
MTECH, NIT JALANDHAR ,2011
BE, UNIVERSITY OF RAJASTHAN, 2007
Computer Vision, Deep learning
Research Excellence Award 2022 at MUJ
IEEE student branch counselor and faculty coordinator
KPI coordinator
IEEE
Jangid, Mahesh, and Sumit Srivastava. 2018. "Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods" Journal of Imaging 4, no. 2: 41. https://doi.org/10.3390/jimaging4020041v
"Gaurav Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia,
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images,
Biomedical Signal Processing and Control,
Volume 78,
2022,
103848,
ISSN 1746-8094,
https://doi.org/10.1016/j.bspc.2022.103848."
A. Masand, S. Chauhan, M. Jangid, R. Kumar and S. Roy, "ScrapNet: An Efficient Approach to Trash Classification," in IEEE Access, vol. 9, pp. 130947-130958, 2021, doi: 10.1109/ACCESS.2021.3111230.
G. Srivastava and M. Jangid, "Multi-view Sparse Laplacian Eigenmaps for nonlinear Spectral Feature Selection," 2023 International Conference on System Science and Engineering (ICSSE), Ho Chi Minh, Vietnam, 2023, pp. 548-553, doi: 10.1109/ICSSE58758.2023.10227143.
S. Panda, M. Jangid and A. Jain, "Enhancing Background Luminance for Colorectal Cancer H and E Stained Images using Modified Reinhard Technique," 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), Tashkent, Uzbekistan, 2022, pp. 129-133, doi: 10.1109/ICTACS56270.2022.9988330.