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

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.

Rocio Fernandez -Engineering for medicine – Best Innovation Award

Rocio Fernandez -Engineering for medicine - Best Innovation Award

University of Oviedo - Spain

Profile 

Introduction

The research contributions of María del Rocío Fernández Rodríguez span various fields, including mechanical design, manufacturing processes, and biomedical applications. Her work integrates engineering principles with healthcare solutions, emphasizing additive manufacturing, mechatronics, and interdisciplinary collaboration.

Additive Manufacturing Applications

Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the healthcare industry by enabling the production of patient-specific medical devices. Fernández Rodríguez's research explores the validation of materials and designs for medical applications, such as endocavity mechanical distractors and surgical tools. These advancements improve patient outcomes by providing customized and cost-effective medical solutions.

Biomedical Device Development

Rapid prototyping is crucial in the development of medical devices, particularly in minimally invasive surgery. Her research includes the design and validation of devices such as transanal endoscopic surgery tools and stoma prototypes. By leveraging rapid prototyping, the efficiency of medical procedures is enhanced, reducing surgery time and improving patient recovery.

Interdisciplinary Product Innovation

The intersection of engineering and healthcare is a focal point in her work, as evidenced by projects like the transformation of ideas into product innovations in nursing and engineering. Collaborative efforts between different scientific disciplines facilitate the creation of innovative healthcare solutions that address practical clinical needs.

Surface Modification Techniques

Surface engineering plays a vital role in mechanical component performance and longevity. Her contributions to research in surface treatment and modification highlight the significance of coating technologies and material enhancements in improving durability and wear resistance, particularly in industrial and biomedical applications.

Quality Management Systems

As an educator and researcher, she has contributed to integrating quality management, environmental considerations, and occupational risk prevention in industrial systems. This holistic approach ensures safer and more efficient manufacturing processes while promoting sustainable practices in engineering design.

Mechatronics and Micromechatronics

Her involvement in Erasmus Mundus programs for mechatronics and micromechatronic systems underscores the importance of automation and precision engineering. These technologies are instrumental in the development of intelligent medical devices and robotic-assisted surgical tools, advancing the capabilities of modern healthcare technology.

Conclusion

María del Rocío Fernández Rodríguez’s research has made a profound impact on mechanical and biomedical engineering. Through interdisciplinary collaboration, additive manufacturing, rapid prototyping, and quality management, her work has advanced both industrial and medical applications. Her contributions continue to shape the future of engineering, demonstrating the potential of integrating technology with healthcare innovations.

Notable Publication

Title: Development of a Pain Measurement Device Using 3D Printing and Electronic Air Pressure Control
Authors: José Manuel Sierra, Mª del Rocío Fernández, José Luis Cortizo, Juan Díaz González
Journal: Biomedicines

Title: WC Particles Distribution Model in the Cross-Section of Laser Cladded NiCrBSi + WC Coatings, for Different wt% WC
Authors: Ortiz, Alberto; García Martínez, Alberto; Cadenas Fernández, Modesto; Fernández Rodríguez, María del Rocío; Cuetos Megido, José Manuel
Journal: Surface & Coatings Technology

Title: Effect of Actual WC Content on the Reciprocating Wear of a Laser Cladding NiCrBSi Alloy Reinforced with WC
Authors: Fernández, M.R.; García, A.; Cuetos, J.M.; González, R.; Noriega, A.; Cadenas, M.
Journal: Wear

Title: The Experience of the University of Oviedo in the Motostudent Competition
Authors: Noriega, A.; Fernández, R.; Cortizo, J.L.
Journal: Mechanisms and Machine Science

Title: Tribological Effects of the Geometrical Properties of Plasma Spray Coatings Partially Melted by Laser
Authors: García, A.; Cadenas, M.; Fernández, M.R.; Noriega, A.
Journal: Wear