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Mr. Ravikant Kumar Nirala

Mr. Ravikant Kumar Nirala

Assistant Professor , Computer Science & Engineering (CSE)

ravikant.nirala@sharda.ac.in

About

Ravikant Kumar Nirala is an Assistant Professor with over 16 years of experience in higher education, research, and technical training. He is an accomplished educator and learning specialist with expertise in teaching, research, analytical thinking, leadership, and problem-solving.

Her research focuses on Hyperspectral Remote Sensing, AIML/Deep Learning, Computer Vision. He is passionate about leveraging emerging AI technologies to develop innovative solutions for real-world challenges.

 

Experience
  • 16+ Years
Qualification
  • PhD (P) CSE
  • M Tech- CSE
  • B Tech- CSE
Research

Patents Filed/Published: 5

  • Scopus-Indexed Research Papers: 1
  • International Conference Publications: 13
  • Book Chapters: 2

Other International Journal Publications: 1

Research

  1. Nirala, R. K., Kumar, G., Singh, R., & Prakash, C. (2025). 3DSPECSN: Adaptive 3D spatial patch based siamese network for robust hyperspectral image analysis. Computers and Electrical Engineering, 126, 110520.
  2. Nirala, R. K., Kumar, G., Singh, R., & Prakash, C. (2024, December). 3D-Petln: Fine-Tuning 3D Patch Extraction in Hyperspectral Remote Sensing Data With Transfer Learning. In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 1-4). IEEE.
  3. Nirala, R. K., Kumar, G., Singh, R., & Prakash, C. (2025, November). SSF-3DRTL: Spectral–Spatial Feature Learning via 3D Residual Transfer Learning Network for Hyperspectral Remote Sensing. In 2025 7th International Conference on Artificial Intelligence and Speech Technology (AIST) (pp. 1-6). IEEE.
  4. Nirala, R. K., Kumar, G., Singh, R., & Prakash, C. (2025, October). 3DSPC-ResNet3D: A ResNet-3D Architecture Tuned by 3DSPC for Precise Hyperspectral Classification. In 2025 IEEE DELCON-International Conference on Recent Smart Technologies in Engineering for Sustainable Development (pp. 1-6). IEEE.
  5. Tonger, N., & Nirala, R. K. (2025, November). Q-ALERT: Quantum Methodologies Risk to Classical Encryption and Learning for Resilient Transition. In 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN) (pp. 483-489). IEEE.

Area of Interest

  • Hyperspectral Remote Sensing
  • Deep Learning
  • Computer Vision
  • Artificial Intelligence & Machine Learning