Tracks
Tracks IWSAI 2026
The Tracks of IWSAI 2026 transcend the organizational function of presentations and academic activities, constituting epistemological axes that guide the production, dissemination, and application of scientific knowledge in the fields of systems, applications, and artificial intelligence. Each Track articulates consolidated theories, emerging technological developments, and contemporary global challenges, placing scientific contributions within a framework of relevance, social impact, and ethical responsibility.
In total, eight tracks have been defined that express the vision of IWSAI 2026: to build an international space where technology is critically thought out and projected as an instrument of social, industrial, economic, and environmental transformation.
Contributions are welcome from researchers and professionals in intelligent systems, software development, and modern architectures, including agile methodologies, DevOps, microservices, serverless, low-code/no-code, reliability engineering, and AI-driven software analytics. Priority is given to experiences in intelligent distributed systems, smart homes, smart cities, cloud-native development, AI-driven test automation, and adaptive software platforms applicable to industry, agribusiness, and corporate systems administration.
We welcome submissions on Artificial Intelligence and Data Science, including generative AI, large-scale language models, multimodal AI, deep learning, federated learning, AutoML, augmented analytics, and edge AI. We highlight data mining techniques, predictive analytics, and advanced modeling applicable to industry, agribusiness, education, administration, accounting, finance, and healthcare. Emerging topics such as affective AI, explainable systems, ethics and governance in AI, and cognitive automation are also valued.
Studies focusing on innovative applications in advanced cybersecurity, data protection, differential privacy, post-quantum cryptography, and blockchain applied to security are valued. As well as research on Zero Trust Architecture, cyber resilience, threat detection with AI, security in 5G/6G, IoT, and smart industrial environments, with applications in business, public administration, agribusiness, the financial sector, and related to digital trust.
We welcome studies on collaborative robotics, mobile and aerial robotics, autonomous systems, and industrial and agro-industrial digital twins. We also welcome contributions on advanced simulation, additive manufacturing, cyberfactories, smart homes, building automation, and edge computing as applied to industrial, agro-industrial, logistics, and smart urban processes.
Innovative research and experiences in logistics 4.0, digital traceability, IoT applied to transportation, robotics in warehouses, and digital twins for logistics and smart agribusiness are considered. This includes work on predictive analytics, sustainable supply chains, hyperautomation, autonomous logistics, energy efficiency, and green production, integrating environmental management and the circular economy.
We welcome submissions on digital business models, startups, Web3, the enterprise metaverse, intelligent automation, open innovation ecosystems, and innovation management in SMEs and large organizations. Contributions related to administration, finance, accounting, corporate governance, and sustainability are also welcome, promoting responsible innovation and strategic digitization.
Research is welcome on emerging educational technologies, including augmented and virtual reality, educational metaverse, adaptive e-learning, virtual laboratories, advanced gamification, learning analytics, educational AI, and neurofeedback. The track focuses on pedagogical innovation, digital inclusion, cognitive development, and professional training in all university areas.
Contributions are welcome on technological governance, digital law, ethics, smart contracts, sustainability, environmental management, and climate change adaptation. Studies on AI in healthcare, telemedicine, bioinformatics, digital patient twins, smart hospitals, environmental resilience, environmental engineering, and sustainable agribusiness are included. The workshop promotes responsible, interdisciplinary innovation and technological regulations.