Sustainable Materials, Structures and IoT

ISBN 10: 1032980427 / ISBN 13: 9781032980423

Verlag: CRC Press, 2024

Beschreibung

1st edition NO-PA16APR2015-KAP.

Bestandsnummer des Verkäufers 26404069274

Bibliografische Details

• Titel: Sustainable Materials, Structures and IoT
• Verlag: CRC Press
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 1032980427
• ISBN-13: 9781032980423
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

The Conference was organized by Department of Civil Engineering, Indira Gandhi Institute of Technology Sarang, India. As a recurring event with nationwide participation, it converged experts, researchers and industry professionals to share and deliberate on their work, offering profound insights into emerging technological trends.

Über die Autorin bzw. den Autor

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.