NEPCON 2026 invites original, high-quality research papers from researchers, academicians, industry professionals, and research scholars worldwide. The conference aims to provide an international forum for presenting and discussing recent research advances, challenges, and practical solutions in computing and related disciplines.
NEPCON 2026 will serve as a platform for the exchange of ideas, dissemination of research outcomes, and collaboration among researchers and practitioners working in diverse areas of computing technologies.
Paper Submission Guidelines
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Submissions must present original and unpublished work.
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Papers must not be under review or accepted elsewhere.
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All submissions will undergo a rigorous peer-review process in accordance with IEEE standards.
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Accepted papers will be presented at the conference and included in the conference proceedings, subject to IEEE policies and approval.
Topics of Interest
Topics include, but are not limited to:
Core Computing
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Algorithms and Data Structures
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Programming Languages and Compilers
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Operating Systems
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Computer Architecture
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Databases and Information Systems
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Software Engineering
Networking & Security
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Computer Networks and Internet Technologies
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Cybersecurity, Privacy, and Cryptography
Artificial Intelligence & Data
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Artificial Intelligence and Machine Learning
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Data Science and Big Data Analytics
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Natural Language Processing
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Computer Vision
Cloud, Distributed & High-Performance Systems
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Cloud Computing
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Distributed and Parallel Computing
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Edge Computing
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High-Performance Computing (HPC)
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Virtualization Technologies
Emerging Technologies
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Internet of Things (IoT)
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Blockchain and Cryptocurrency
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Quantum Computing
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Neuromorphic Computing
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Bioinformatics and Biocomputing
Human-Centric & Applied Computing
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Human–Computer Interaction (HCI)
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Computer Graphics and Visualization
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Virtual Reality (VR) and Augmented Reality (AR)
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Web and Mobile Application Development
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Game Development
Robotics & Intelligent Systems
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Robotics and Autonomous Systems
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Mobile Robotics
Societal & Ethical Aspects
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Ethical, Legal, and Social Issues in Computing
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Responsible and Trustworthy AI