Dr Krishna Kumar Jha
Assistant Professor (Grade-III)
Gurunanak Institute of Technology 143
West Bengal
Expertise:
Computer Science Artificial Intelligence
31
Publications
0
Projects
226
Scopus Citations
191
CrossRef
18 Years 1 Month Total Experience
Scopus
226
Citations
7
h-index
CrossRef
191
Citations
6
h-index
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Professional Recognition
Jyeshtha Acharya Award of Recognition
2024
Bharat Education Excellence Awards 2023–24, organized by Skill Input Output, Kinkini, Brain O Vision
Community & Membership
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Association for Computing Machinery
PERMANENTPersonal Details
Doctor of Philosophy
2024
N/A
Master of Technology
2011
Central Rice Research Institute
Assistant Professor (Grade-III)
Mar 2025 – Present
Gurunanak Institute of Technology 143
Associate Professor
May 2023 – Mar 2025
Swami Vivekananda Institute of Science and Technology, Kolkata
Assistant Professor
Aug 2008 – Apr 2023
Calcutta Institute of Technology 177
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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ANALYSIS AND CHARACTERISATION OF BLOOD CELLS USING DIGITAL IMAGE PROCESSING TECHNIQUES
FPGA-Based Access Control System and method for DCT Compressed image
Himadri Mandal
amit phadikar
Tien-Lung Chiu
Goutam kumar maity
Aniruddha ghosh
Krishna Kumar Jha
Pritam Adhikary
Sourabh Chandra
Angshuman Majumdar
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Patent No. :
2021106217
Filed :
01-01-2019
Published :
01-01-2021
Published
Scholarly Publications
A new approach for segmentation and identification of disease affected blood cells
Detection of abnormal blood cells on the basis of nucleus shape and counting of WBC
Mutual Information based hybrid model and deep learning for Acute Lymphocytic Leukemia detection in single cell blood smear images
Nucleus and cytoplasm–based segmentation and actor-critic neural network for acute lymphocytic leukaemia detection in single cell blood smear images
FAB Classification based Leukemia Identification and prediction using Machine Learning
Face Mask Detection Using Deep Learning
TeadiagnosticX: A Deep Residual CNN Framework for Tea Leaf Disease Classification with Multilingual Intelligent Dashboard Support
Artificial Neural Network-Based Leukaemia Identification and Prediction using Ensemble Deep Learning Model
Showing 1 to 8 of 31 publications