Niraj Nagrale
Also known as: Niraj K. Nagrale, N. K. Nagrale, Nagrale Niraj, Nagrale N K, N K Nagrale, Nagrale N. K., Niraj Nagrale
GHRCE, Nagpur, Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur, Rashtrasant Tukadoji Maharaj Nagpur University, Bharti Vishvavidyalaya, Rajiv Gandhi Technical University
About
I am Dr. Niraj K. Nagrale, a senior academician and researcher with over 27 years of experience in teaching, research, and academic leadership in the field of Electronics and Communication Engineering. I hold a Doctorate (PhD) along with two Master’s degrees—M.Tech in Electronics and Communication Engineering and M.Tech in Energy Management System—and I am currently serving as an Assistant Professor at G. H. Raisoni College of Engineering, Nagpur, India. My teaching experience covers a broad range of core and advanced subjects, including Digital Signal Processing, Digital Communication, Antennas and Wave Propagation, Neural Networks and Fuzzy Logic, Soft Computing, and Machine Learning.
My PhD research focused on the design and development of robust deep learning–based frameworks for intelligent image analysis, with specific emphasis on crowd analysis and biometric recognition using surveillance data. I am the author of the book “Crowd Analysis Using Deep Neural Networks to Analyze Images from CCTV Cameras”, published by Lambert Academic Publishing. My research interests broadly encompass artificial intelligence, deep learning, machine learning, signal and image processing, and biometric systems, with a particular focus on intelligent recognition and decision-making systems.
I have published my research work in international journals and IEEE conference proceedings and have actively contributed to interdisciplinary research activities. I have delivered invited talks and seminars at academic forums and participated in national and international conferences related to artificial intelligence, security, and intelligent systems. My academic and research experience enables me to bridge foundational theory with emerging architectures and future research directions, particularly in the context of AI-driven engineering and scientific applications.
Employment
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GHRCE, Nagpur Assistant Professor2022 - 2033
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Rajiv Gandhi College of Engineering, Research and Technology, Chandrapur Assistant Professor1998 - 2022
Education
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Rashtrasant Tukadoji Maharaj Nagpur University MTech2003 - 2005
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Rashtrasant Tukadoji Maharaj Nagpur University BE1991 - 1997
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Bharti Vishvavidyalaya PhD
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Rajiv Gandhi Technical University MTech? - 2020
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Optimized and Challenges in Ear Biometrics for Secure Identification Save
- Optimization of Resist Performance in Deep UV Lithography for Sub-10 nm Feature Fabrication Save
- Design of U-Net Architectures for Medical Image Segmentation using AI/ML Model Save
- Optimized Ear Biometric Recognition Using EfficientNet and PCA: A Deep Learning Approach Save
- A Novel Voice-Activated Cleaning System for Smart Homes Save
- ECG Denoising: From Wavelet Transform to Artificial Intelligence-A Comparative Study Save
- Enhancing Ear Detection for Biometric Systems Using YOLOv9 Save
- Implementation of auto serve pro-based management system using python Save
- Progress and Challenges in Ear Biometrics for Secure Identification Save
- Track Sensing Obstacle Avoidance Technology For Autonomous Vehicle Save