Dr. Abhishek Bajpai
Rajkiya Engineering College Kannauj, Shri Ramswaroop Memorial University
0000-0003-2815-2092
About
Dr. Abhishek Bajpai is a distinguished academic and researcher specializing in wireless communication and computing. He holds a PhD in Computer Science and Engineering, a Master’s degree in Wireless Communication and Computing from the prestigious Indian Institute of Information Technology, Allahabad (IIIT-A), and a Bachelor’s degree in Information Technology, graduating with First Class honours. Dr. Bajpai is an Assistant Professor in the Department of Computer Science and Engineering at Government Engineering College, Kannauj, Uttar Pradesh, India, where he brings extensive teaching, research, and academic leadership experience.
Dr. Bajpai's research interests focus on cutting-edge domains such as wireless computing, machine learning, and cloud computing. He has significantly contributed to these fields through numerous publications in high-impact international journals and conferences. His scholarly expertise is further recognized through his active involvement as a peer reviewer for leading publications, including Elsevier, Springer, and IEEE, and his service on the editorial boards of reputable academic journals.
A professional contributor, Dr. Bajpai is a member of prominent organizations like IEEE and ACM. He is also a life member of notable scientific and professional bodies, including the Computer Society of India (CSI), the Indian Science Congress, the Computer Science Teachers Association (CSTA) USA, and MIR Lab USA. Additionally, he regularly serves on the Technical Program Committees of various international conferences, contributing to advancing research and technology in his expertise. A deep commitment to academic excellence and technological innovation marks his distinguished career.
Employment
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Rajkiya Engineering College Kannauj Assistant Professor2017 - Present
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Shri Ramswaroop Memorial University Assistant Professor2014 - 2017
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- SubterraVision: a computational deep learning framework for low-light image enhancement in underground mining Save
- Graph–Time IoT IDS: Requirement‐Aligned Impact Evaluation Save
- A Lightweight Hybrid Optimization Framework With DQN‐Based Local Correction for 3D UAV Path Planning Save
- Lightweight and Interpretable Hybrid Deep Network for Potato Leaf Disease Detection Using CBAM and Vision Transformer Save
- Optimizing 3D UAV navigation via a high-efficiency hybrid RRT*-DQN approach Save
- Hybrid Fake News Detection Model: Bagging and Logistic Regression Approach Save
- An Effective Integrative CNN-GRU Framework for Stock Price Forecasting Save
- A hybrid machine learning and metaheuristic optimization framework for energy-efficient data aggregation in real-time for rural IoT networks Save
- Integrating Attention Mechanisms and Squeeze-and-Excitation Blocks for Accurate Potato Leaf Disease Detection Save
- DM-AECB: a diffusion and attention-enhanced convolutional block for underwater image restoration in autonomous marine systems Save