Mritunjay Rai | Real-Time Imaging Solutions | Best Researcher Award

Published on by Biophotonics Research

Assist. Prof. Dr. Mritunjay Rai | Real-Time Imaging Solutions | Best Researcher Award

Shri Ramswaroop Memorial Univerity | India

Dr. Mritunjay Rai is an academic and researcher in Electronics and Communication Engineering with expertise in digital and thermal image processing, machine learning, and data science. He earned his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, focusing on developing and comparing real-time algorithms using thermal images for diverse applications. His research integrates image analysis and artificial intelligence, contributing to advancements in healthcare, surveillance, and intelligent transportation systems. He has published extensively in reputed SCI and Scopus-indexed journals on topics such as infrared image-based motion detection, early detection of diabetic foot ulcers, and smart traffic management using deep learning. Dr. Rai also led a government-funded project on thermal imaging-based smart healthcare for early diagnosis of diabetic complications. In addition to research, he plays an active role in academic quality assurance, innovation, and institutional development, promoting the integration of intelligent imaging technologies for practical and socially relevant problem-solving.

Profiles : Scopus | Orcid 

Featured Publications 

  • Maurya, T., Kumar, S., Rai, M., Saxena, A. K., Goel, N., & Gupta, G. (2025). Real time vehicle classification using deep learning—Smart traffic management. Engineering Reports.

  • Nain, V., Shyam, H. S., Kumar, N., Tripathi, P., & Rai, M. (2024). A study on object detection using artificial intelligence and image processing-based methods. In Mathematical models using artificial intelligence for surveillance systems (Chapter 6). Wiley.

  • Singh, S., Pandey, J. K., Rai, M., & Saxena, A. K. (2024). Advancements in facial expression recognition using machine and deep learning techniques. In Machine and deep learning techniques for emotion detection (Chapter 7). IGI Global.

  • Tripathi, P., Kumar, N., Paroha, K. K., Rai, M., & Panda, M. K. (2024). Applications of deep learning in healthcare in the framework of Industry 5.0. In Infrastructure possibilities and human-centered approaches with Industry 5.0 (Chapter 5). IGI Global.

  • Rai, M., Chandra, B., Tripathi, P., & Kumar, N. (2024). Artificial intelligence and image enhancement–based methodologies used for detection of tumor in MRIs of human brain. In Artificial intelligence in biomedical and modern healthcare informatics. Elsevier.

  • Veeraiah, V., Sharma, P., Saxena, K., Sahu, N. K., Sharma, K., Pandey, J. K., Yadav, R. K., & Rai, M. (2024). Brain tumor detection for recognizing critical brain damage in patients using computer vision. In Internet of things enabled machine learning for biomedical applications (Chapter 9). CRC Press.

  • Singh, S., Rai, M., Pandey, J. K., & Saxena, A. K. (2024). Emotional intelligence and collaborative dynamics in Industry 5.0 for human-machine interactions. In Human-machine collaboration and emotional intelligence in Industry 5.0 (Chapter 10). IGI Global.