CALL FOR PAPER

The 7th International Conference on Sustainable Development, Internet of Things, Architecture, Power and Environmental Engineering (TAPEE 2025) aims to present the most recent research achievements and technological innovations at the intersection of sustainable development, intelligent systems, and energy engineering. The conference serves as an international forum for scholars, engineers, and industry professionals to exchange ideas, share research outcomes, and explore emerging trends in smart infrastructure, green energy, power systems, and environmental technologies. By fostering interdisciplinary collaboration and knowledge integration, TAPEE 2025 seeks to advance the convergence of computing, IoT, and sustainable engineering toward a more intelligent and eco-efficient future.

We welcome original research articles, case studies, and review papers that reflect cutting-edge theoretical development, applied techniques, and engineering practices. Topics of interest include, but are not limited to:

Sustainable and Intelligent Systems

  • Smart energy management and renewable integration
  • Sustainable architecture and intelligent building systems
  • Green IoT and sensor-based environmental monitoring
  • Low-carbon urban infrastructure and smart mobility
  • Intelligent control and optimization for energy efficiency

Internet of Things and Cyber-Physical Systems

  • IoT network design, interoperability, and scalability
  • Edge and cloud computing for real-time data analytics
  • Secure communication protocols and data privacy protection
  • Digital twins for urban and industrial applications
  • Cyber-physical system modeling and intelligent decision-making

Power, Energy, and Environmental Engineering

  • Renewable energy conversion and storage technologies
  • Advanced materials for sustainable power systems
  • Environmental sensing and pollution monitoring
  • Energy-efficient devices and distributed generation
  • Climate-resilient infrastructure and adaptive engineering solutions

Artificial Intelligence and Computational Intelligence

  • Machine learning, deep neural networks, and evolutionary algorithms
  • Intelligent optimization and adaptive control strategies
  • AI-driven modeling for sustainable systems
  • Human-centered computing and ethical AI design
  • Applications of AI in environment, energy, and urban management