Accepted Special Sessions — ARIIA 2026
This session explores how digital transformation is reshaping business practices with a strong focus on sustainability. It brings together experts to discuss innovations in finance, marketing, and operations for sustainable growth. The session emphasizes the role of data analytics and digital technologies in improving efficiency and transparency. It highlights strategies for aligning business objectives with environmental and social responsibility.



This session focuses on advancements in industrial engineering and smart manufacturing in the era of Industry 4.0. It covers topics such as automation, digital twins, predictive maintenance, and smart logistics. The session highlights data-driven optimization, real-time monitoring, and efficient production systems. It aims to promote sustainable and intelligent manufacturing practices for modern industries.



This special session focuses on the role of AI in transforming modern management and organizational practices. It covers AI-driven decision-making, business intelligence, and human–AI collaboration. The session highlights how AI enhances efficiency, innovation, and strategic planning. It also addresses ethical challenges, governance, and responsible AI adoption in organizations.

This special session focuses on emerging technologies such as AI, IoT, and blockchain that are driving digital transformation and sustainable growth. It aims to bring together researchers and practitioners to explore innovation strategies, smart systems, and technology-driven entrepreneurship. The session highlights advancements in smart cities, cybersecurity, and green technologies. It provides insights into building sustainable and future-ready digital ecosystems.
This special session focuses on emerging advancements in intelligent computing and data-driven informatics that are shaping next-generation digital ecosystems. The session invites contributions addressing innovative methodologies, models, and applications in areas such as artificial intelligence, machine learning, data analytics, cloud and edge computing, and intelligent decision support systems. Emphasis is placed on interdisciplinary approaches that integrate computing paradigms with real-world problem-solving in domains like healthcare, smart cities, cybersecurity, and industrial automation. The session also aims to explore challenges related to scalability, data privacy, interpretability, and ethical considerations in intelligent systems. Researchers and practitioners are encouraged to present novel algorithms, frameworks, and case studies leveraging open datasets and reproducible research practices. By fostering collaboration between academia and industry, this session seeks to highlight transformative solutions that enhance efficiency, sustainability, and innovation in computing and informatics, ultimately contributing to the development of robust and intelligent digital infrastructures.
This special session explores the integration of intelligent systems, artificial intelligence, and Industry 5.0 technologies in transforming banking and e-commerce. It focuses on smart financial services, digital payment ecosystems, and AI-driven customer experiences.
This special session targets a high-impact transition—from conventional AI/ML pipelines to generative and agentic AI systems that autonomously reason, plan, and execute enterprise workflows. Based on real deployments across telecom, healthcare, supply chain, and banking, the session highlights how LLMs, RAG, and AI agents deliver measurable improvements in modernization and decision-making.
This special session presents a production-validated architectural framework that resolves this tension through hybrid AI and rule-driven decision layers — combining the strengths of deterministic business rule engines with ML inference capabilities behind a unified API surface. Drawing from real-world implementation in enterprise retail pricing on Google Cloud Platform at The Home Depot, the session demonstrates how hybrid decision pipelines deliver intelligent, governed, and operationally resilient outcomes across mission-critical enterprise applications.
The special session focuses on a well-defined, emerging research domain within the broader scope of the conference. It aims to bring together researchers, industry experts, and practitioners to present original research contributions, recent technological advancements, innovative methodologies, and real-world applications related to the selected themes.
This session explores the use of computer vision and intelligent sensing technologies in healthcare and biomedical systems. It focuses on AI-driven solutions for disease detection, health monitoring, and mental health analysis. The aim is to enable accurate, real-time, and scalable approaches for improved patient care and diagnostics.
This special session focuses on Digital Twin-driven human–machine collaboration for predictive and sustainable smart manufacturing. It highlights AI-enabled digital twins, real-time data integration, and human-centric Industry 5.0 systems. It brings together researchers and practitioners to develop resilient, efficient, and intelligent manufacturing solutions.
This special session explores the integration of AI-enabled digital twin networks, advanced sensor technologies, and intelligent systems to revolutionize inclusive healthcare for elderly, disabled, and underserved populations. It presents frameworks for real-time patient monitoring, predictive analytics, and personalized interventions with a strong focus on accessibility and ethical deployment.
This track explores the applications of artificial intelligence and machine learning in automation and technological advancement. It highlights the role of AI technologies such as AR, VR, chatbots, and robotics in transforming management practices and enabling sustainable analytics.
This special session focuses on recent advancements in Artificial Intelligence and Machine Learning for solving complex real-world problems. It aims to bring together researchers and practitioners to explore innovative models, scalable algorithms, and intelligent systems across domains such as healthcare, cybersecurity, smart cities, and industrial automation.
This session addresses the integration of intelligent algorithms within decentralized networks to enable autonomous, real-time decision-making across diverse domains. It explores the transition from centralized cloud processing to distributed edge intelligence, fostering innovation in AI, IoT, and cyber-physical systems.