Scope of Topics

ICoDiT 2026 welcomes submissions on a wide range of topics, including but not limited to the following:

This topic covers research and applications in artificial intelligence (AI), machine learning (ML), deep learning, natural language processing, computer vision, and robotics. Submissions may focus on AI-driven solutions for healthcare, education, finance, smart cities, autonomous systems, or governance. Innovative approaches that enhance decision-making, automation, and problem-solving using intelligent systems are highly encouraged.

This topic emphasizes the integration of digital technologies into industrial processes to improve productivity, efficiency, and innovation. Areas include the Internet of Things (IoT), cyber-physical systems, robotics, automation, cloud computing, edge computing, digital twins, and big data analytics. Contributions may demonstrate how smart technologies enhance operational intelligence and sustainability in manufacturing, logistics, and service industries.

This topic focuses on safeguarding information and ensuring trust in digital systems. It includes cybersecurity technologies, cryptography, privacy-preserving mechanisms, secure software and network systems, blockchain, threat detection, and ethical considerations. Papers may explore strategies to enhance security, mitigate cyber threats, and protect personal and organizational data in various sectors.

This topic explores the use of big data, data mining, machine learning analytics, and predictive modeling to generate insights that support effective decision-making. Applications include business intelligence, policy-making, scientific research, and smart services. Contributions may focus on data visualization, real-time analytics, and AI-assisted decision systems.

This topic encourages research addressing the social, ethical, and sustainable aspects of computing and digital technologies. Submissions may explore inclusive design, accessibility, ethical AI, green computing, digital literacy, and technologies for social good. The focus is on ensuring digital transformation benefits all members of society responsibly.

This topic welcomes interdisciplinary research integrating computing with fields such as healthcare, environment, education, social sciences, and business. Contributions may showcase innovative applications, novel algorithms, or collaborative frameworks that address real-world problems using digital and intelligent technologies.