Mi-SEBIT 2026 aims to bring together academicians, researchers, students, and industry practitioners from around the world to exchange knowledge, showcase emerging research, and build collaborations in the areas of Industrial Revolution technologies and Information & Communication Technology. The conference provides a multidisciplinary platform to present novel methods, prototypes, and real-world case studies that integrate Artificial Intelligence (AI), the Internet of Things (IoT), and data-driven digital systems into engineering and built-environment applications—while advancing sustainable, green, and responsible technological development.
Through keynote talks, technical sessions, and interactive discussions, the conference seeks to:
1. Innovate : Promote cutting-edge research and innovation aligned with sustainable engineering and Industry 4.0 needs.
2. Collaborate : Encourage cross-domain collaboration between engineering, ICT, and built-environment communities.
3. Connect : Bridge academic research with industrial implementation and scalable solutions.
4. Develop : Support the development of smart, secure, and ethical digital infrastructures for future societies.
The conference covers a broad range of topics at the intersection of technology, sustainability, and engineering innovation. The key areas of focus include the following 8 tracks:
Track 1: Sustainable Engineering, Green Infrastructure & Renewable Energy
• Sustainable construction methods and materials
• Low-carbon and climate-resilient infrastructure
• Renewable energy systems (solar, wind, hydro, hybrid systems)
• Smart grids, microgrids, and energy management systems
• Energy efficiency and sustainable power solutions
• Sustainable transportation and urban systems
Track 2: Smart Built Environment and Digital Construction
• Smart buildings, smart cities, and intelligent facilities management
• Digital twins for built environment and infrastructure
• BIM, digital workflows, and construction automation
• Sensors and monitoring for structural health and safety
Track 3: Internet of Things (IoT), Smart Devices & Edge Systems
• IoT architectures, edge computing, and sensor networks
• Smart devices for industrial, healthcare, urban, and home applications
• IoT interoperability, protocols, and deployment challenges
• Real-time monitoring, predictive maintenance, and intelligent sensing systems
Track 4: Artificial Intelligence, Machine Learning & Data Analytics
• ML/DL models for engineering and ICT applications
• Computer vision, NLP, and multimodal learning
• Explainable AI (XAI), trustworthy AI, and model robustness
• Big data analytics, decision intelligence, and predictive systems
• AI applications in healthcare, agriculture, education, and industry
Track 5: Communication Systems & Next-Generation Connectivity
• Wireless and mobile communication technologies
• 5G/6G networks and future internet technologies
• Internet and network communication systems
• Smart city communication infrastructure
• Network performance, optimization, and Quality of Service (QoS)
Track 6: Automation, Robotics & Industry 4.0
• Industrial automation, control systems, and cyber-physical systems
• Robotics for manufacturing, inspection, and construction
• Human–robot collaboration and autonomous systems
• Smart production, digital manufacturing, and intelligent logistics
Track 7: Digital Systems, Cloud/Edge Computing & Emerging Technologies
• Cloud computing, edge computing, and distributed systems
• Real-time computing platforms and scalable architecture
• AR/VR/MR for engineering, training, and maintenance
• Blockchain applications in supply chains, construction, and IoT
Track 8: Cybersecurity, Privacy & Digital Trust
• Security for IoT, industrial networks, and critical infrastructure
• Threat detection, intrusion prevention, and incident response
• Privacy-preserving computing and secure authentication
• Governance, compliance, and cyber risk management
Track 9: Healthcare Devices, Digital Health & Biomedical Engineering
• Smart healthcare and medical device innovation
• Wearable health monitoring and remote patient monitoring systems
• Biomedical sensors and medical instrumentation
• AI-enabled diagnostics and clinical decision support
• Telemedicine, connected healthcare systems, and digital hospitals
• Assistive technologies and rehabilitation engineering
• Healthcare data interoperability and regulatory standards
Track 10: ICT Education, Digital Society & Innovation
• Digital education policy and institutional transformation
• Digital literacy and future workforce skills
• Ethics, digital citizenship, and digital wellbeing
• Technology adoption and innovation ecosystems
• Measuring impact: learning outcomes and societal transformation