The International Conference on Sustainable Materials, Structures and IoT (SMSI-2024) was organized by Department of Civil Engineering, Indira Gandhi Institute of Technology Sarang, India. The practical problems associated with various engineering in many developing countries including India and developed countries are different and complex. Therefore, researchers and agencies have been working to tackle these challenges and to identify implementable solutions for various transportation engineering related problems as per prevailing conditions. As a recurring event with nationwide participation, SMSI-2024 converged experts, researchers, practitioners, industry professionals around the world to share and deliberate on their work, offering profound insights into emerging technological trends. This conference invited papers related to various themes under the umbrella of engineering.

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Sujit Kumar Pradhan is currently serving as an Assistant Professor in the Department of Civil Engineering, Indira Gandhi Institute of Technology Sarang, India. He holds PhD in Transportation Engineering from Indian Institute of Technology Bhubaneswar. His area of research includes pavement material characterization, pavement analysis & design, performance evaluation of asphalt binder and recycling, and geotextile and porous concrete.

Srinivas Sethi is a Professor in Computer Science Engineering & Application, Indira Gandhi Institute of Technology, Sarang (IGIT, Sarang), India, and has been actively involved in teaching and research since 1997. He did his Ph.D., in routing algorithms in mobile ad hoc network and is continuing his research work in the wireless sensor network, cognitive radio network, and cloud computing, Big-Data, BCI, Cognitive Science.

Mufti Mahmud’s research vision is to contribute toward a secure, smart, healthy, and better world to live in. He conducts problem-driven Brain Informatics research where he works with problem domain experts to find multidisciplinary solutions to real-world problems. His research involves Computational, Health, and Social Sciences, and uses Neuroscience, Healthcare, Applied Data Science, Computational Neuroscience, Big Data Analytics, Cyber Security, Machine Learning, Cloud Computing, and Software Engineering and plans to develop secure computational tools to advance healthcare access in low-resource settings.

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