Mritunjay RaiDr. Mritunjay Rai is an accomplished researcher and Assistant Professor in the Department of Electrical and Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki, India. With a specialization in digital image processing, machine larning, and thermal imaging, Dr. Rai’s research addresses complex computational challenges in biomedical imaging, surveillance systems, and emotion recognition technologies. His doctoral research, completed in 2023 at the Indian Institute of Technology (ISM), Dhanbad, focused on algorithmic advancements for real-time thermal imaging applications. He holds a Master’s degree in Instrumentation and Control from BIT Mesra, where his work centered on intelligent video surveillance systems. Dr. Rai has an extensive publication record in journals such as The Journal of Supercomputing and Multimedia Tools and Applications, where his studies contribute novel approaches to thermal imaging-based motion detection, deep learning frameworks for medical diagnostics, and automated systems for human emotion recognition via facial feature analysis. His research is underscored by a commitment to improving algorithmic accuracy and processing efficiency in real-time applications. Dr. Rai is also engaged in editing high-impact books with IGI Global, Wiley, and Elsevier, covering critical topics like AI-integrated surveillance and the use of computational intelligence in healthcare and disaster prediction. Among his significant projects is a government-funded initiative to develop a thermal imaging system for early detection of diabetic foot ulcers, leveraging advanced data processing and sensor fusion techniques. Dr. Rai’s ongoing editorial work further spans areas like AI-driven agricultural quality assessment and predictive healthcare, alongside his primary focus on computational methodologies in next-generation surveillance systems. His research continues to bridge the gap between computational intelligence and practical applications in industrial, healthcare, and environmental contexts, marking him as a key innovator in the fields of machine learning and biomedical imaging. Read More Read Less