This volume contains the proceedings of the 3rd International Conference on Recent Advances in Computational Techniques (IC-RACT 2025). It includes recent advancements across a diverse range of emerging technologies and engineering disciplines, including artificial intelligence, machine learning, data science, robotics, automation, smart infrastructure, sustainable technologies, civil and mechanical engineering, and next-generation computing systems. The contributions highlight novel methodologies, innovative solutions, and practical applications designed to address contemporary scientific and engineering challenges. This volume provides valuable insights into the rapidly evolving landscape of intelligent systems and computational technologies. It serves as a comprehensive reference for researchers, practitioners, and graduate students seeking to explore the latest developments in computational techniques and their applications across diverse engineering domains.

Dr. Garima Shukla is an Associate Professor in the Department of Computer Science and Engineering at Amity School of Engineering and Technology, Amity University Maharashtra, Mumbai, India. Her research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, Predictive Analytics for Healthcare. She has contributed to advancing interdisciplinary research, fostering academic excellence, and strengthening international research collaborations in emerging technologies.

Balamurugan Balusamy is Professor and Dean of the School of Engineering and Information Technology at the Manipal Academy of Higher Education, Dubai Campus, UAE. He is also an Adjunct Professor in the Department of Computer Science and Information Engineering at Taylor University, Malaysia. His research interests encompass Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, and Engineering Education. He has made significant contributions to research, academic leadership, and international collaborations in emerging technologies.

Soufiene Ben Othman is a Professor at the Applied College, King Faisal University, Al-Ahsa, Saudi Arabia. Prior to joining King Faisal University, he served as a Professor of Computer Science at the University of Gabes, Tunisia, from 2016 to 2024. He earned his Ph.D. in Computer Science from Manouba University, Tunisia, in 2016, with a dissertation focused on secure data aggregation in wireless sensor networks. He also obtained his M.S. degree in Computer Science from Monastir University in 2012. His research interests include the Internet of Medical Things (IoMT), Wireless Body Sensor Networks, Wireless Networks, Artificial Intelligence, Machine Learning, and Big Data Analytics. Dr. Ben Othman has published more than 100 research papers in reputed international journals, conference proceedings, and book chapters.