2–3 May 2026 · Rai, Sonepat, Delhi-NCR, India (Hybrid)
INNOCOMP 2026 is jointly organized and supported by Novel Research Foundation, India and B. M. Institute of Engineering & Technology (BMIET), Sonipat, India.
INNOCOMP 2026 brings together researchers, educators, developers, and industry professionals to share original research and practical innovations in computing and intelligent systems. The program features peer-reviewed tracks and special sessions across AI/ML, NLP, smart and pervasive computing, secure internet technologies, healthcare analytics, modern communications, design methodologies, and emerging applications.
Accepted and presented papers will be published through Conference Publishing Services (CPS) with an ISBN and DOI, subject to required formatting, quality checks, and publisher policies. At least one author must register and present the paper for it to be included in the proceedings. Papers that are not presented will be excluded from the final proceedings.
Indexing and inclusion in digital libraries/databases depend on independent organizations and publisher policies, and therefore cannot be guaranteed.
The first edition, INNOCOMP 2024, was held on 25–26 May 2024 at Ethnic India, Rai (Sonipat), Delhi-NCR, India. The proceedings were published with an official ISBN and made available online. View the conference proceedings page .
Note: Availability and indexing status on any platform may change over time based on platform policies.
📍 INNOCOMP 2026 Venue: Ethnic India, NH-1, Rai, Sonepat, Delhi-NCR, India (Hybrid)
Distinguished experts invited to share insights on emerging innovations and advanced computing.
Deadlines are 23:59 AoE unless otherwise stated.
INNOCOMP invites original, unpublished research papers aligned with the areas listed below. Submissions should address recent advances in computational intelligence, communication technologies, and related domains. Accepted papers must be presented at the conference to be considered for inclusion in the proceedings.
Reinforcement learning, neural networks, trustworthy AI, robotics, NLP, and computer vision applications.
Web security frameworks, encryption, privacy-preserving analytics, and secure communications.
IoT integration with sensor networks, edge computing, smart environments, and safety.
Predictive models, clinical decision support, data privacy in healthcare, and pandemic-era innovations.
DevOps, microservices, cloud-native architectures, testing and quality for scalable systems.
Image recognition, video analytics, pattern recognition, and multimodal perception.
VLSI, hardware acceleration, emerging devices, and foundations of quantum computing.
5G/6G, satellite and optical communications, networks, protocols, and performance.
Digital transactions, fintech, blockchain for governance, and secure payment ecosystems.
Please submit your manuscript through the official submission system. Ensure that all authors, affiliations, and contact details are correctly entered during submission.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Note: Final inclusion of papers in the proceedings is subject to publisher decision and compliance with all technical and ethical checks.
For timelines, see Important Dates. For author registration categories, visit Registration.
For any questions related to submissions, registration or local arrangements, please reach out to the INNOCOMP 2026 organising team.
Email: innocompconf@gmail.com
Please mention your Paper ID (if available) in the subject line for faster handling.
For questions related to registration fees, payment confirmation or invoices, please write to:
Email: innocompconf@gmail.com
Attach your payment proof (screenshot or receipt) and mention your Paper ID / Name.
📍 INNOCOMP 2026 Venue:
Ethnic India, NH1, Rai, Sonepat, Delhi-NCR, India (Hybrid)
In case of any venue or technical query, please contact: +91 97183 22373
