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AIET-ISDF 2026
AIET-ISDF 2026
Artificial manufacturing, Intelligence and smart and infrastructure. emerging technologies Breakthroughs are in rapidly Generative transforming AI, Large governance, Language Models, education, Edge healthcare, Computing and Industry 5.0 are redefining digital ecosystems globally. There is an urgent need to create platforms that foster knowledge exchange, ethical discussions, and collaborative innovation in these domains. AIET-ISDF – 2026 aims to provide an excellent platform for exchanging and discussing innovative ideas, practices, and techniques about the Data Science, Cloud/Fog/Edge Computing, AI and Machine Learning. This conference looks forward to draw the attention of national and international researchers, scientists, academicians and professionals to discuss and learn the state of the art in these topics. This conference also will help in stimulating the awareness about the safe practices and latest technologies among the citizens.
About the University
About the University
An Act (No. 58 of 1994) from the parliament established the Babasaheb Bhimrao Ambedkar University. The university distinguishes itself as a socially responsible learning community of high-quality scholarship and academic rigor sustained by social justice and equity principles for which Babasaheb Bhimrao Ambedkar worked during his lifetime. The university draws from the cultural, intellectual, technological, and economic resources of Uttar Pradesh and other states to enrich and strengthen its educational programmes.
About the Department
About the Department
The Department of Information Technology at Babasaheb Bhimrao Ambedkar University (BBAU), Lucknow, is actively engaged in teaching, research, and innovation in Artificial Intelligence, Machine Learning, Data Science, Cybersecurity, Internet of Things (IoT), Blockchain, Cloud Computing, and other emerging technologies. The department promotes interdisciplinary research and industry collaboration aligned with national initiatives on Digital India and technological advancement.
Call for Paper
Call for Paper
Best full paper will be published in Scopus Indexed Journals: Journal of Applied Science, Innovation & Technology (JASIT), ISSN: 2583-505X.
Cureus Journal of Computer Science (JOCS) Springer Nature EISSN: 3005-1487.
Remaining papers will be published as book chapters in a book.
Effort 3
Effort 3
A description of an effort and why it matters
Effort 4
Effort 4
A description of an effort and why it matters
Questions?
Questions?
Contact [email] to get more information on the project
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