Revolutionary IoT solutions that learn, adapt, and evolve based on user behavior patterns, creating truly intelligent and responsive environments.
Learning Status
Adaptive AI Active
Behavior-enabled IoT (BeT) represents the next evolution in smart technology, where devices don't just connect—they understand, learn, and adapt to human behavior.
Advanced AI algorithms analyze user patterns and preferences to create personalized experiences that evolve over time.
Real-time adaptation to changing behaviors and environmental conditions, ensuring optimal performance at all times.
Designed around human behavior patterns, creating intuitive interactions that feel natural and effortless.
BeT creates interconnected environments where every device contributes to understanding and predicting user needs, resulting in seamless automation.
To revolutionize the IoT landscape by creating intelligent systems that truly understand and adapt to human behavior, making technology invisible and intuitive.
Create IoT solutions that integrate naturally into daily life without requiring conscious interaction.
Optimize resource usage and system performance through intelligent behavioral analysis.
Empower users with technology that anticipates needs and provides proactive solutions.
High User Satisfaction
Exceptional user experience and adoption
Energy Efficiency
Significant reduction in energy consumption
Automated Operations
Reduced need for manual interventions
A world where technology seamlessly adapts to human behavior, creating environments that are not just smart, but truly intelligent and empathetic.
We envision a future where IoT devices don't just respond to commands—they anticipate needs, learn preferences, and create personalized experiences that enhance quality of life.
"To create a world where technology becomes an invisible, intelligent companion that understands, learns, and adapts to human behavior, making life more comfortable, efficient, and meaningful for everyone."
Measurable outcomes and real-world impact of BeT implementation across various industries and applications.
ECSA 2025 1st International Workshop on Software Architecture for Data-Intensive Systems (SADIS)
Authors: Moamin Abughazala, Henry Muccini
ECSA 2025 1st International Workshop on Software Architecture for Data-Intensive Systems (SADIS)
Authors: Moamin Abughazala, Henry Muccini
51st Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA 2025)
Authors: Moamin Abughazala, Henry Muccini
International Conference on Information and Communications Technology for Sustainability (ICT4S 2025)
Authors: Alex Montoya Franco, Henry Muccini, Bram van der Waaij
Enhanced automation and energy efficiency through behavioral learning
Adaptive patient monitoring and personalized care delivery
Predictive maintenance and adaptive manufacturing processes