Emerging Digital Intelligence and Generative Engineering (EDGE 2026) focuses on the transformative evolution of artificial intelligence, computational intelligence, and generative systems that are now shaping the future of automation, decision-making, knowledge representation, and digital ecosystems. The conference aims to establish an intellectual platform that brings together academic researchers, industry innovators, policymakers, and practitioners to explore theoretical advancements and practical implementations of emerging intelligent technologies. The theme reflects a growing global movement toward next-generation intelligent solutions that are capable of understanding, generating, reasoning, adapting, and interacting with humans and digital ecosystems in more meaningful ways. As digital systems become increasingly autonomous, generative, and interconnected, the conference positions itself as a catalyst for responsible innovation and interdisciplinary research.

The scope of EDGE 2026 encompasses foundational theories, applied research, and real-world applications. The conference covers the following technical domains:

• Digital intelligence systems, architectures, and frameworks
• Generative AI, multimodal models, and foundational models
• Machine learning algorithms, optimization techniques, and computational methods
• Edge AI and distributed intelligence computing
• Human–AI interaction, inclusion, and collaboration systems
• Responsible AI, governance, ethics, policy, and societal implications
• Engineering pipelines including MLOps, deployment and automation frameworks
• Applications across sectors including healthcare, industry, government, defense, education, finance, cybersecurity, sustainability, agriculture, and creative technologies

  Research submissions may include theoretical models, empirical research, case studies, prototypes, simulation studies, industrial implementation frameworks, and early-stage conceptual manuscripts.

EDGE 2026 invites original, unpublished research papers. All submissions will undergo a rigorous peer-review process following IEEE standards.

Accepted and presented papers will be submitted for inclusion in IEEE Xplore,subject to approval and compliance.

All conferences and conference proceedings must meet IEEEs quality standards, and IEEE reserves the right not to publish any proceedings that do not meet these standards. Indexing & Abstracting-The Conference Publication Program (CPP) assures wide distribution of conference proceedings by providing abstracting and indexing of all individual conference papers for inclusion in worldwide databases. The CPP makes every reasonable attempt to ensure that abstracts and index entries of content accepted into the program are included in databases provided by independent abstracting and indexing (A&I) services. Each A&I partner makes its own editorial decision on what content it will index. IEEE cannot guarantee entries are included in any particular database

At least one author must register for each accepted paper. Registration categories will include IEEE members, non-members, research scholars, and students.

VIT Bhopal University
Bhopal–Indore Highway, Madhya Pradesh, India
Conference Mode: Hybrid

For More Information Contact Name: Dr Sandeep Monga Mobile: 9425302578 Email:confedge2k26@gmail.com, edge2026@vitbhopal.ac.in
Organiser: VIT Bhopal University