Naveen Kumar Tiwari
Rajkiya Engineering College Kannauj, National Institute of Technology Patna, Indian Institute of Technology Delhi
0000-0001-6649-1357
About
Dr Naveen Kumar Tiwari is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Rajkiya Engineering College, Kannauj. He obtained his M.Tech degree from the Indian Institute of Technology (IIT) Delhi and his PhD from the National Institute of Technology (NIT) Patna.
With over eight years of academic and teaching experience, he has developed strong expertise in both foundational and emerging areas of computing. His research contributions span domains such as Image Super-Resolution, Computer Vision, Machine Learning, and Software Defined Networking (SDN). His work has been recognized through publications, including contributions to IEEE Transactions on Consumer Electronics, as well as other reputed journals and conferences.
Dr Tiwari is actively engaged in advancing research and mentoring students, with a focus on applying intelligent computational techniques to real-world problems. His academic interests continue to evolve at the intersection of artificial intelligence and networked systems, aiming to contribute meaningful innovations to the field.
Employment
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Rajkiya Engineering College Kannauj Assistant Professor2018 - Present
Education
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National Institute of Technology Patna PhD2021 - Present
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Indian Institute of Technology Delhi M. Tech2013 - 2015
Projects & Funding
Projects & funding information is unavailable.
Publications (39)
- A Unified cGAN-Reinforcement Learning-Based Optimized Attention CNN-LSTM Framework for Robust Potato Disease Detection and Classification Save
- SubterraVision: a computational deep learning framework for low-light image enhancement in underground mining Save
- U-Net with Multiple Attention Mechanisms for Brain Tumor Segmentation Save
- Edge-aware multi-scale hybrid cascaded attention transformer for efficient image super-resolution Save
- CCTFaceNet: Enhancing face super-resolution with cascaded CNN-transformer and dual-path feature fusion Save
- Enhanced Brain Tumor Detection with Laplacian Pyramid based Image Super-Resolution Save
- A Context Aware Conformer for Single Image Super-Resolution: Merging Global Attention With Incremental Features Save
- HOTNet: A hybrid optimization and transformer network for hyperspectral image super-resolution Save
- Single channel medical images enhancement using fractional derivatives Save
- Integrating Attention Mechanisms and Squeeze-and-Excitation Blocks for Accurate Potato Leaf Disease Detection Save