Dr. Bhagwati Sharan
KIET (Deemed-to-be University), Chandigarh University, SRM University AP, Sharda University, SRM Institute of Science and Technology
0000-0003-0196-0129
About
Bhagwati Sharan is an Assistant Professor in the Department of CSE (AI) and a Research Faculty member in the Department of CSE (AI & ML) at KIET (Deemed-to-be University), Ghaziabad. He completed his Ph.D. from the Department of Computer Science and Engineering at SRM University AP, Andhra Pradesh, India.
He holds an M.Tech. in Data Science from Sharda University, India (2022), and a B.Tech. in Electronics and Communication Engineering from SRM Institute of Science and Technology, India (2020). Prior to his current role, he served as an Assistant Professor in the Department of Computer Science and Engineering (APEX-CSE) at Chandigarh University, Gharuan, India.
His research interests include terahertz and optical communication, the Internet of Bio-Nano Things, nanocommunication, antenna and sensor design, and the application of AI/ML techniques. He is proficient in COMSOL Multiphysics, CST Studio, ADS, HFSS, MATLAB, and Python.
Employment
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KIET (Deemed-to-be University) Assistant Professor & Research Faculty2026 - Present
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Chandigarh University Assistant Professor2022 - 2022
Education
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SRM University AP Ph.D2022 - 2026
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Sharda University M.Tech2020 - 2022
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SRM Institute of Science and Technology B.Tech2016 - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (15)
- High-performance multiband terahertz nanoantenna for advanced wireless nanocommunications Save
- Leveraging relief feature selection and multi-classifier stacking approach for improved Parkinson's disease diagnosis Save
- Gold-based nanoantenna design using golden ratio optimization for in-vivo communication at terahertz frequency Save
- A Terahertz Split Ring Resonator Nanosensor for Cardiac Biomarker Detection Save
- Microstrip Planar Antennas for C-Band Wireless Applications Save
- Intelligent waste classification approach based on improved multi-layered convolutional neural network Save
- A fuzzy cognitive map of the quality of user experience determinants in mobile application design Save
- Comprehensive Analysis of Machine Learning Approaches for Breast Cancer Detection and Classification Save
- Comprehensive Analysis of Machine Learning Approaches for Breast Cancer Detection and Classification Save
- Forge News Detection: Random Forest and Bi- LSTM-based Hybrid Approach Save