BeT
Behavior-enabled IoT
Revolutionary IoT solutions that learn, adapt, and evolve based on user behavior patterns, creating truly intelligent and responsive environments.
Learning Status
Adaptive AI Active
What is BeT?
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. This work is carried out under the PRIN 2022 Fondo per il Programma Nazionale di Ricerca e Progetti di Rilevante Interesse Nazionale (project code 2022TEPX4R), a program funded by the European Union – Next Generation EU within the framework of the PRIN 2022 initiatives.
Behavioral Learning
Advanced AI algorithms analyze user patterns and preferences to create personalized experiences that evolve over time.
Adaptive Response
Real-time adaptation to changing behaviors and environmental conditions, ensuring optimal performance at all times.
Human-Centric
Designed around human behavior patterns, creating intuitive interactions that feel natural and effortless.
Intelligent Ecosystems
BeT creates interconnected environments where every device contributes to understanding and predicting user needs, resulting in seamless automation.
- Predictive automation
- Contextual awareness
- Continuous learning
Our Goal
To revolutionize the IoT landscape by creating intelligent systems that truly understand and adapt to human behavior, making technology invisible and intuitive.
Primary Objectives
Seamless Integration
Create IoT solutions that integrate naturally into daily life without requiring conscious interaction.
Enhanced Efficiency
Optimize resource usage and system performance through intelligent behavioral analysis.
User Empowerment
Empower users with technology that anticipates needs and provides proactive solutions.
Success Metrics
High User Satisfaction
Exceptional user experience and adoption
Energy Efficiency
Significant reduction in energy consumption
Automated Operations
Reduced need for manual interventions
Our Vision
A world where technology seamlessly adapts to human behavior, creating environments that are not just smart, but truly intelligent and empathetic.
The Future of IoT
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.
Vision Statement
"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."
Results & Publications
Measurable outcomes and real-world impact of BeT implementation across various industries and applications.
Performance Metrics
Publications
FairWatt: An Energy Accounting System for Fair and Sustainable Data Centers
International Conference on Information and Communications Technology for Sustainability (ICT4S 2025)
Authors: Alex Montoya Franco, Henry Muccini, Bram van der Waaij
A Visionary Architecture for Adaptive Data Contracts in Behavior-Driven IoT Systems
ECSA 2025 1st International Workshop on Software Architecture for Data-Intensive Systems (SADIS)
Authors: Moamin Abughazala, Henry Muccini
GResilience: Decision-Making Policies for Trading Off Greenness and Resilience in Online Collaborative AI Systems
IEEE Access
Authors: Rimawi, Diaeddin, Antonio Liotta, Marco Todescato, and Barbara Russo.
DQGen: Scalable Metadata-Driven Automation for Data Quality Validation in Data-Intensive Applications
ECSA 2025 1st International Workshop on Software Architecture for Data-Intensive Systems (SADIS)
Authors: Moamin Abughazala, Henry Muccini
Quality by Prompt: LLM-Powered Transformation of Data Quality Requirements into Great Expectations
51st Euromicro Conference Series on Software Engineering and Advanced Applications (SEAA 2025)
Authors: Moamin Abughazala, Henry Muccini
On the cybersecurity of LoRaWAN-based system: a Smart-Lighting case study
IoT2025
Authors: Florian Hofer, Barbara Russo
Behavior-enabled IoT: A software architecture for self-adapting a renewable energy community
Elsevier, Internet of Things
Authors: Assunta De Caro, Eugenio Zimeo
Optimizing Urban Public Transportation with a Crowding-Aware Multimodal Trip Recommendation System
Journal in Review
Authors: Assunta De Caro, Ida Falco, Angelo Furno, Eugenio Zimeo
Talks
On the cybersecurity of LoRaWAN-based systems: a Smart-Lighting case study
15th International Conference on the Internet of Things (IoT 2025), Vienna, Austria, November 2025.
Authors: F. Hofer
User-Centric Congestion-Aware Multimodal Optimization Routing System.
I-CiTies 2025, Gaeta - Italy, September 17-19, 2025.
Authors: A. De Caro, I. Falco, A. Furno, E. Zimeo
A Visionary Architecture for Adaptive Data Contracts in Behavior-Driven IoT Systems
First International Workshop on Software Architecture for Data-Intensive Systems (SADIS), Limassol, Cyprus. , Tuesday 16th September 2025
Authors: Moamin Abughazala, Henry Muccini
DQGen: Scalable Metadata-Driven Automation for Data Quality Validation in Data-Intensive Applications
First International Workshop on Software Architecture for Data-Intensive Systems (SADIS), Limassol, Cyprus. , Tuesday 16th September 2025
Authors: Moamin Abughazala, Henry Muccini
Quality by Prompt: LLM-Powered Transformation of Data Quality Requirements into Great Expectations
the 51st Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2025), Salerno, Italy, September 10-12, 2025
Authors: Moamin Abughazala, Henry Muccini
Behavior-Enabled IoT
Ph.D. Summer School "SoSMartCPS 16-07-2025"
Authors: E. Zimeo
FairWatt: An Energy Accounting System for Fair and Sustainable Data Centers
The International Conference on ICT for Sustainability (ICT4S) 2025, Dublin, Ireland, June 9-13 2025.
Authors: Henry Muccini
Modeling Resilience of Collaborative AI Systems
3rd International Conference on AI Engineering – Software Engineering for AI, Lisbon, Portugal, April 14-15, 2024.
Authors: D. Rimawi
Behavior-Enabled IoT Architecture for Balancing QoE and QoS in IoT Systems.
I-CiTies 2024, Messina, September 18-20, 2024.
Authors: A. De Caro, H. Muccini, E. Zimeo
GResilience: trading off between the greenness and the resilience of collaborative AI systems
IFIP International Conference on Testing Software and Systems, ICTSS 2023, Bergamo, Italy, September 18–20, 2023.
Authors: D. Rimawi
CAIS-DMA: A Decision-Making Assistant for Collaborative AI Systems
Product-Focused Software Process Improvement, Dornbirn, Austria, December 10–13, 2023.
Authors: D. Rimawi
SOLAR: Self-optimizing REC Platform
I-CiTies 2023, Salerno, September 13-15, 2023.
Authors: A. De Caro, E. Zimeo.
The BET project: Behavior-enabled IoT
9th Italian Conference on ICT for Smart Cities and Communities (iCities 2023), Salerno - Fisciano (SA), Italy, 13-14-15 September, 2023.
Authors: Muccini, Henry, Barbara Russo, and Eugenio Zimeo
Industry Impact
Smart Homes
Enhanced automation and energy efficiency through behavioral learning
Healthcare
Adaptive patient monitoring and personalized care delivery
Industrial
Predictive maintenance and adaptive manufacturing processes