Bikram Kar
Sanaka Educational Trust's Group of Institutions, National Research Centre for Orchids, Birla Institute of Technology, Maulana Abul Kalam Azad University of Technology
About
Bikram Kar holds an M.Tech in Computer Science and Engineering from Maulana Abul Kalam Azad University of Technology (formerly West Bengal University of Technology). Currently, he is serving as an Assistant Professor in the Department of Computer Science and Engineering at Amity University, Jharkhand. Alongside his academic role, Bikram is pursuing his Ph.D. from Birla Institute of Technology, Mesra, Ranchi, Jharkhand, since 2021.
His research interests include Machine Learning, Medical Data Mining, Data Science, and Deep Learning, with a particular focus on developing innovative models and methodologies for addressing real-world challenges in medical and healthcare domains. Bikram actively contributes to academic research and is dedicated to advancing knowledge in his areas of expertise.
Employment
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Sanaka Educational Trust's Group of Institutions Assistant Professor2017 - 2024
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National Research Centre for Orchids Young Professional-II2016 - 2017
Education
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Birla Institute of Technology Pursuing PhD2021 - 2024
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Maulana Abul Kalam Azad University of Technology M.Tech2012 - 2014
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Bankura Unnayani Institute of Engineering B.Tech2008 - 2012
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- A modified golden jackal optimization framework for high-dimensional feature selection in Parkinson’s Disease classification Save
- Trust, Interpretability and Explainability for Ensuring 5G-Enabled Smart City Security Save
- Smart AgriTech: Sensors & Networks Save
- Changes in mental health of Indian students due to online classes during COVID-19 pandemic Save
- Analysis of ML-Based Classifiers for the Prediction of Breast Cancer Save
- A Hybrid Feature Reduction Approach for Medical Decision Support System Save
- Statistics in the response of Indian COVID-19 pandemic and post pandemic Save
- Breast DCE-MRI Segmentation for Lesion Detection Using Clustering with Multi-verse Optimization Algorithm Save