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This book presents peer reviewed articles from the 2nd International Conference on Sustainability and Emerging Technologies for Smart Manufacturing (SETSM 2025) held on 22-23 April at Hanoi in Vietnam. It presents latest research and innovation in Sustainability and emerging technologies for Smart Manufacturing, especially innovative solutions for development of sustainable and smart eco-systems in industries, healthcare and medicine.
The book provides researchers, professionals, and decision-makers a platform to present their results on the following topics:
Smart Manufacturing, Lean
…mehr

Produktbeschreibung
This book presents peer reviewed articles from the 2nd International Conference on Sustainability and Emerging Technologies for Smart Manufacturing (SETSM 2025) held on 22-23 April at Hanoi in Vietnam. It presents latest research and innovation in Sustainability and emerging technologies for Smart Manufacturing, especially innovative solutions for development of sustainable and smart eco-systems in industries, healthcare and medicine.

The book provides researchers, professionals, and decision-makers a platform to present their results on the following topics:

Smart Manufacturing, Lean Manufacturing 4.0, Rapid Manufacturing and Cloud Manufacturing

Sustainable Design and Manufacturing

Advanced Materials Engineering

Advanced Computational Modeling, Simulation and Optimization

Additive Manufacturing, and Advanced machining processes

Renewable energy and clean technologies, electric and hybrid technologies

Autonomous vehicles, connected vehicles, and Intelligent Transportation Systems

Mechatronics, robotics and digital twin

Biomedical Engineering: Emerging technologies for medical diagnosis, treatments and rehabilitations, personalization and mass-personalization, Telehealth and in-home Healthcare.

ICT Information and Communications Technologies and applications for Smart Manufacturing and Industry 4.0.
Autorenporträt
Dr. Dzung Hoang Tien is the dean of the School of Mechanical and Automotive Engineering at Hanoi University of Industry, Vietnam (HaUI). He has more than 20 years of academic experience in Mechanical Engineering. His research interests include Dynamic Machining, Modeling and Optimization, polishing, CAD/CAM/CAE/CNC, AM/3D Printing Technology, Mold Manufacturing, Optimization, and Intelligent Manufacturing System. He received his Ph.D. degree from the Hanoi University of Science and Technology in 2016 in Vietnam. Dr. Vijender Kumar Solanki is  an associate professor in the Department of Computer Science & Engineering at Stanley College of Engineering and Technology for Women, Hyderabad,  India. He has more than 18 years of academic experience in network security, IoT, Big Data, Smart City, and IT. Before his current role, he was associated with the CMR Institute of Technology, Hyderabad; Apeejay Institute of Technology, Greater Noida, UP; KSRCE (Autonomous) Institution, Tamil Nadu, India; and the Institute of Technology & Science, Ghaziabad, UP, India. He is a Senior Member of IEEE. Dr. J. Paulo Davim is a professor at the University of Aveiro, Portugal. He received his Ph.D. in Mechanical Engineering, M.Sc. in Mechanical Engineering from the University of Porto (FEUP), the Aggregate title (Full Habilitation) from the University of Coimbra and the D.Sc. (Higher Doctorate) from London Metropolitan University. His research interests are in the areas of Manufacturing, Materials, Mechanical, and Industrial Engineering, with special emphasis in Machining, Tribology & Surface Engineering. He has also interest in Design, Management, Sustainability, Industry 5.0, Engineering Education and Higher Education for Sustainability. Dr. Nguyen Thi Dieu Linh is the deputy head of Science and Technology Department, Hanoi University of Industry, Vietnam (HaUI). She has more than 20 years of academic experience in electronics, IoT, Smart Garden, and Telecommunication. She obtained her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China. Her research interests are in the areas of Artificial Intelligence, Data Analytics, Machine Learning, Deep Learning, and Artificial Intelligence.