Journal of Frontiers in Technology and Engineering Integration

 

Frontiers in Technology and Engineering Integration (FTEI) is an international, interdisciplinary, open-access journal dedicated to publishing high-quality research on the integrated innovation of sustainable technology and intelligent systems.

The journal aims to bridge the gap between advanced computational methodologies and practical engineering applications, addressing pressing global sustainability challenges in energy, environment, manufacturing, and social infrastructure.

We particularly welcome contributions that leverage artificial intelligence, data science, the Internet of Things (IoT), and digital twins to promote the synergistic development of green and intelligent technologies, advancing the agenda for a sustainable and technologically advanced future.

Key Topics Include (but are not limited to):

  • AI & Machine Learning for Engineering Systems

  • Smart Cities and Sustainable Infrastructure

  • Renewable Energy Systems and Smart Grids

  • Green Manufacturing and Industrial IoT

  • Digital Twins and Cyber-Physical Systems

  • Robotics and Automation for Sustainability

  • Environmental Monitoring and Climate Informatics

  • Circular Economy and Resource Optimization

 

All articles will be submitted to:
Google Scholar, Crossref, U.S. Librarian Database, ProQuest (part of Clarivate’s Web of Science), Ulrich's Periodicals Directory, SEMANTIC SCHOLAR, OpenAlex.

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About the Journal

 

Frontiers in Technology and Engineering Integration (FTEI) is an international, interdisciplinary, open-access journal dedicated to publishing high-quality research on the integrated innovation of sustainable technology and intelligent systems.

The journal aims to bridge the gap between advanced computational methodologies and practical engineering applications, addressing pressing global sustainability challenges in energy, environment, manufacturing, and social infrastructure.

We particularly welcome contributions that leverage artificial intelligence, data science, the Internet of Things (IoT), and digital twins to promote the synergistic development of green and intelligent technologies, advancing the agenda for a sustainable and technologically advanced future.

Key Topics Include (but are not limited to):

  • AI & Machine Learning for Engineering Systems

  • Smart Cities and Sustainable Infrastructure

  • Renewable Energy Systems and Smart Grids

  • Green Manufacturing and Industrial IoT

  • Digital Twins and Cyber-Physical Systems

  • Robotics and Automation for Sustainability

  • Environmental Monitoring and Climate Informatics

  • Circular Economy and Resource Optimization

 

All articles will be submitted to:
Google Scholar, Crossref, U.S. Librarian Database, ProQuest (part of Clarivate’s Web of Science), Ulrich's Periodicals Directory, SEMANTIC SCHOLAR, OpenAlex.

Current Issue

Vol. 1 No. 1 (2025): Issue 1

Published: 2025-12-17

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