About me
I am an assistant professor (RTDa) at the University of Pisa
with the Department of Information Engineering.
I graduated from the University of Pisa with a degree in Computer Engineering and a master's degree, summa cum laude, in Computer Engineering, Enterprise curriculum.
In 2015, I earned 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, product refurbishment, reuse and recycling. 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 and efficient disassembly practices for product refurbishment. The overarching goal is to align these efforts with the principles of Industry 5.0, fostering a seamless integration of technology and sustainability.In addition, ever since the beginning of my doctoral research, my primary focus has 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 and health without compromising privacy.
I am also exploring innovative solutions to assess workplace stress levels based on emotion analysis, aiming to assist workers in preventing the onset of related diseases. This commitment reflects a broader vision of enhancing the well-being of the global workforce within the Industry 5.0 paradigm, whose pillars promote a human-centric, resilient, and sustainable industry. 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;