About The Conference

The International Conference on Data Analytics Research in Intelligent Systems Engineering (ARISE-2026) is organised by the School of CSE, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India, on 18^th – 19^th December, 2026.

Organized by: School of CSE, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India

ARISE-2026 aims to bring together researchers, academicians, engineers, industry professionals, and practitioners from across the globe to share their latest research findings, innovations, and practical experiences in Data Analytics, Intelligent Systems, and Engineering. The conference provides an international platform for exploring emerging methodologies, technologies, and applications in data-driven and intelligent systems, fostering knowledge exchange, interdisciplinary collaboration, and meaningful interaction between academia and industry.

ARISE-2026 focuses on advancing research and innovation in emerging areas of Data Analytics and Intelligent Systems. Key areas include data science and analytics, data mining, big data analytics, predictive intelligence, artificial intelligence, machine learning, deep learning, computational intelligence, intelligent decision support, cybersecurity, data engineering, cloud and distributed computing, Internet of Things, cyber-physical systems, natural language processing, computer vision, and intelligent engineering applications. The conference will feature keynote addresses by eminent experts, technical paper presentations, panel discussions, and networking opportunities, providing participants with opportunities to exchange ideas, discuss emerging challenges, and explore future research directions.

With a strong emphasis on data-driven innovation, intelligent technologies, and engineering applications, ARISE-2026 seeks to promote high-quality research that contributes to the development of reliable, efficient, secure, and intelligent solutions. By encouraging collaboration and interdisciplinary exchange, the conference aims to support researchers and professionals in advancing their academic and professional development while fostering new research partnerships.

All submitted papers will undergo a rigorous double-blind peer-review process to evaluate their quality, originality, relevance, and technical contribution. Subject to acceptance and compliance with the publisher’s requirements, accepted papers will be considered for inclusion in the conference proceedings of the proposed publication partner. The proceedings will be submitted for consideration for indexing in relevant scholarly databases, including Scopus and Web of Science, subject to the respective indexing policies and approval processes. ARISE-2026 seeks to establish a credible international forum for disseminating research and advancing knowledge in Data Analytics Research and Intelligent Systems Engineering.

Conference Tracks

Track 1: Data Analytics, Data Science and Knowledge Discovery
Track 2: Big Data Analytics, Data Mining and Predictive Intelligence
Track 3: Artificial Intelligence, Machine Learning and Deep Learning
Track 4: Data Engineering, Cloud Computing and Distributed Intelligence
Track 5: Intelligent Systems Engineering, IoT and Cyber-Physical Systems
Track 6: Natural Language Processing, Computer Vision and Intelligent Applications

Important Dates

• Paper Submission Deadline: 30 September, 2026
• Notification of Acceptance/Rejection: 31 October, 2026
• Registration Deadline: 15 November, 2026
• Camera Ready Submission: 30 November, 2026