About me
I am an assistant professor at the University of Pisa, Department of Information Engineering.
I graduated from the University of Pisa with a Bachelor's degree in Computer Engineering and a Master's degree in Computer Engineering (Enterprise curriculum), summa cum laude.
I have a Ph.D. in Information Engineering (Computer System Architectures curriculum) from the Leonardo da Vinci Doctoral School of Engineering, University of Pisa.
My research activity is focused on artificial intelligence and industrial informatics within the Industry 5.0 framework. In particular, optimizing industrial processes to enhance sustainability. In parallel, my efforts extend to human-centered AI to improve workers' safety and well-being.
What I do
Regarding industrial processes, my research involves designing optimization algorithms for intelligent manufacturing, particularly evolutionary computation. These algorithms contribute to increasing sustainability in product refurbishment. The goal is to align these efforts with the principles of Industry 5.0, thus integrating technology and sustainability.Ever since the beginning of my doctoral research, my primary focus has also been occupational safety and health, ranging from profiling workers based on their sensitivity to risk, to innovative techniques for personnel assignment and job rotation incorporating everyone's risk perception and propensity levels. My current research in this field involves artificial intelligence-based multimodal systems primarily based on privacy-preserving techniques, including multi-sensor data fusion and computer vision. The aim is to monitor and continuously improve the workers' safety, health, and well-being without compromising privacy.
Below are some links that better explain what my research is about:
- Human-centered artificial intelligence, creating AI systems that amplify and augment rather than displace human abilities;
- Product reuse and recycling reduction for Recycling and Multiobjective Optimization for Efficient Product Disassembly;
- Occupational Safety and Health: how to achieve safer workplaces in the next-generation smart industry;
- Work-related Stress: limiting and correctly dealing with work-related stress can improve people's quality of life.
- Emotion analysis, for emotion recognition and tracking;
