The 2027 IEEE International Conference on AI Engineering and Innovation (AIEI 2027) is a premier international conference dedicated to advancing cutting- edge research, technological developments, and industrial innovations in the fields of Artificial Intelligence (AI), intelligent systems, and emerging engineering technologies. Scheduled to be held from 21–23 January 2027 in Bangalore, India, AIEI 2027 aims to provide a global platform for researchers,academicians, scientists, industry professionals, entrepreneurs, policymakers, and students to exchange knowledge , present innovative research contributions, and foster interdisciplinary collaborations in rapidly evolving AI-driven domains.
With the theme “AI for Technology Management and AI use, Intelligent Systems and Innovation”, the conference focuses on exploring the transformative role of Artificial Intelligence in shaping the future of engineering, sustainable technologies, smart infrastructure, healthcare, automation and robotics, aerospace, agriculture, finance, education, cybersecurity, and digital innovation.
The conference will emphasize emerging advancements in machine learning, deep learning, generative AI , intelligent control systems , blockchain-enabled systems, Internet of Things (IoT), digital twins, smart manufacturing, Industry 5.0 , and AI-powered decision-making frameworks aimed at addressing real-world industrial and societal challenges.
The conference is financially sponsored by the IEEE Technology and Engineering Management Society (IEEE TEMS) and the IEEE Bangalore Section TEMS Chapter combined, with technical co-sponsorship from the IEEE Systems Council. These IEEE sponsors and technical co-sponsors support the conference in maintaining high-quality peer-review standards, strong technical content, global visibility, and broad international participation.
AIEI 2027 will feature keynote speeches by internationally renowned experts, technical paper presentations, tutorials, workshops, special sessions, industry forums, panel discussions, and networking opportunities designed to strengthen collaboration between academia, industry, startups, research laboratories, and professional societies.
The conference encourages original research contributions, interdisciplinary innovations, industrial case studies, and practical engineering solutions that contribute to the advancement of intelligent systems and AI-enabled technologies across multiple domains and new fields.
Conference Tracks
- AI in Innovation, Entrepreneurship and Intrapreneurship
- AI for Healthcare, Bioengineering and Agriculture
- AI for Smart Energy, Smart Cities and Sustainable Infrastructure (Society 5.0)
- AI for Industry 5.0, Robotics and Automation
- AI for Aerospace, Defense and Intelligent Security Systems
- AI for Finance, Economics, Business Intelligence and Digital Innovation
- AI for Education, Technology Management and Engineering Building upon the success of the inaugural conference, AIEI 2027 continues its mission of fostering innovation, interdisciplinary research, and global collaboration in Artificial Intelligence and intelligent engineering technologies.
AIEI 2026 successfully attracted researchers, academicians , industry professionals, and students from various countries and featured high-quality technical sessions, keynote talks, tutorials, and industry interactions covering emerging AI applications and engineering innovations.
The conference proceedings of AIEI 2026 were published in the IEEE Xplore Digital Library , reflecting the conference’s strong technical quality and international recognition and the conference was a great success.
The published proceedings are available through IEEE Xplore Proceedings for further update.
All accepted and presented papers of AIEI 2027 will be submitted for inclusion in the IEEE Xplore Digital Library subject to compliance with IEEE quality and publication requirements.
AIEI 2027 is expected to attract significant international participation and serve as a leading global platform for researchers, engineers, scientists, practitioners, and industry leaders working in the domains of AI engineering and innovation.