4th International Conference on Business Analytics for Technology & Security

The International Conference on Business Analytics for Technology and Security (ICBATS-2027) marks the 4th edition of this esteemed conference series, dedicated to advancing knowledge and fostering collaboration in the field of technology. ICBATS aims to unite leading academicians, scientists, researchers, and practitioners from around the globe to share innovative ideas and the latest advancements across a wide range of topics, including: IoT, Applied Sciences and their Emerging Technologies, Business Analytics for Technology, Machine Learning & Deep Learning, Web Technologies, Networking & Communication, Intelligent IS & Business Analytics, Big Data & Data Analytics, Cybersecurity & Privacy, Blockchain Technology, Drones, e-Learning & m-Systems, Computer Vision & Image Processing, and Metaverse Convergence. With increasing demands for sustainability and innovation, there is an urgent need to explore the synergy between emerging technologies and business analytics. ICBATS offers a premier platform for intellectual exchange, focusing on leveraging data-driven insights and technological breakthroughs to drive sustainable development, enhance decision-making, and address pressing global challenges. ICBATS will be hosted by Sohar University, in collaboration with strategic partners including: Muscat University, The British University in Dubai, Mazoon College, UCSI University, Nawroz University, Tishk International University, Woxsen University, Alshaab University, and UNESCO Regional Center for Quality and Excellence in Education. These distinguished institutions are renowned for their academic excellence, innovative research, and commitment to fostering thought leadership. Their dedication to advancing global knowledge and sustainability makes them the ideal hosts for this prestigious conference. Accepted papers will be submitted for inclusion in IEEE Xplore, subject to meeting IEEE Xplore’s scope and quality standards, and to be indexed in Scopus.  Authors are invited to prepare a substantially extended version of their conference paper as a separate journal manuscript and submit it to either the MDPI Cryptography or MDPI Computation Scopus Q1 Special Issue, with a 20% discount on the applicable APC. The submitted journal paper should have a different title, contain at least 60% additional material, and not exceed 30% paragraph‑by‑paragraph copy from proceedings paper.