IEEE Life Fellow at Università di Catania, Italy
Prof. Luigi Fortuna is a Full Professor of Automatic Control at the University of Catania, Italy, with extensive experience in robust control, nonlinear science, chaos, robotics, and soft-computing strategies for control. He earned his Master’s degree in Electrical Engineering in 1977 and has since contributed significantly to the field with over 700 technical papers, 20 scientific books, and 10 industrial patents. His research has earned him recognition, reflected in an H-index of 56 on SCOPUS. Prof. Fortuna has coordinated and participated in numerous international research projects, including collaborations with institutions like the Joint European Torus (UK) and ENEA (Italy). He has also served in various academic leadership roles, such as the Dean of the Engineering Faculty and Coordinator of the PhD course in Systems Engineering at the University of Catania. A Fellow of IEEE, he is also a prominent figure in international conference organization and scientific journals.
Professional Profile
Education
Prof. Luigi Fortuna earned his education in Electrical Engineering, completing his Master’s degree at the University of Catania, Italy, in 1977. Following this, he pursued advanced studies and research, which led to his professional career in academia and industry. His educational foundation laid the groundwork for his extensive contributions to the fields of automatic control, nonlinear science, chaos theory, robotics, and soft computing for control applications. Throughout his career, Prof. Fortuna has been involved in various international academic and research initiatives, which have helped shape his expertise and knowledge. His academic journey has been marked by a focus on both theoretical and applied aspects of control systems, with a strong emphasis on interdisciplinary research. Prof. Fortuna’s educational background has also led to significant roles in academic leadership, where he has guided and mentored students at both undergraduate and postgraduate levels.
Professional Experience
Prof. Luigi Fortuna has had an illustrious career, primarily in academia and research, with a focus on electrical engineering, control systems, and nonlinear science. He began his academic career as an assistant professor at the University of Catania, Italy, and later became a full professor in the Department of Electrical Engineering. His professional experience spans various research areas, including nonlinear control, robotics, soft computing, and chaos theory, where he has made significant contributions. Prof. Fortuna has held various leadership positions, serving as the head of his department and as a member of numerous academic committees. He has collaborated extensively with international research groups, contributing to the advancement of control theory and its practical applications. Prof. Fortuna has supervised numerous graduate and Ph.D. students, influencing the development of future experts in the field. His professional experience also includes publishing over 200 scientific papers and serving on editorial boards of prestigious journals.
Research Interests
Prof. Luigi Fortuna’s research interests lie primarily in the fields of electrical engineering, control systems, nonlinear dynamics, and artificial intelligence. His work has focused extensively on nonlinear control theory, robotics, and the application of chaos theory in practical systems. He has contributed to the development of methods for controlling nonlinear systems, with applications in various engineering fields, including automation and robotics. Prof. Fortuna has also explored the integration of soft computing techniques, such as fuzzy logic and neural networks, into control systems to enhance system performance and adaptability. Additionally, his research encompasses the use of machine learning and optimization algorithms in the design and control of complex systems. His interdisciplinary approach has led to significant advancements in both theoretical frameworks and real-world applications, bridging the gap between advanced mathematical concepts and practical engineering solutions. Prof. Fortuna’s work continues to influence developments in control theory, robotics, and intelligent systems.
Awards and Honors
Prof. Luigi Fortuna has received numerous awards and honors throughout his distinguished career in recognition of his contributions to electrical engineering, control theory, and artificial intelligence. He has been acknowledged for his pioneering work in nonlinear dynamics, robotics, and advanced control systems. Prof. Fortuna was named a Fellow of the IEEE (Institute of Electrical and Electronics Engineers), a prestigious recognition that highlights his outstanding contributions to the field of control systems and nonlinear dynamics. Additionally, he has been awarded various international research grants, reflecting the global impact of his work. He has also been honored with awards from prominent academic and scientific organizations, further underscoring his leadership in the field of electrical engineering. Throughout his career, Prof. Fortuna has been a regular recipient of best paper awards at major conferences and symposiums. His academic achievements, dedication to research, and innovations have earned him widespread recognition and respect in the global scientific community.
Conclusion
Prof. Luigi Fortuna’s accomplishments make him a strong candidate for the Future Frontier Science Award. His extensive experience in complex systems, robust control, and nonlinear science, combined with his leadership and innovative contributions, aligns with the vision of the award. With an emphasis on expanding cross-disciplinary collaborations, mentoring emerging talent, and enhancing public engagement, Prof. Fortuna could further amplify his remarkable legacy in science.
Publications Top Noted
- Fractional order systems: modeling and control applications
- Authors: R Caponetto, G Dongola, L Fortuna, I Petras
- Year: 2010
- Citations: 1344
- Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series
- Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
- Year: 2007
- Citations: 1115
- Chaotic sequences to improve the performance of evolutionary algorithms
- Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
- Year: 2003
- Citations: 642
- Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study
- Authors: COVIDSurg Collaborative
- Year: 2021
- Citations: 579
- Soft sensors for product quality monitoring in debutanizer distillation columns
- Authors: L Fortuna, S Graziani, MG Xibilia
- Year: 2005
- Citations: 401
- Model order reduction techniques with applications in electrical engineering
- Authors: L Fortuna, G Nunnari, A Gallo
- Year: 2012
- Citations: 321
- Effects of mobility in a population of prisoner’s dilemma players
- Authors: S Meloni, A Buscarino, L Fortuna, M Frasca, J Gómez-Gardeñes, V Latora, …
- Year: 2009
- Citations: 288
- A chaotic circuit based on Hewlett-Packard memristor
- Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
- Year: 2012
- Citations: 286
- Elective cancer surgery in COVID-19–free surgical pathways during the SARS-CoV-2 pandemic: an international, multicenter, comparative cohort study
- Authors: JC Glasbey, D Nepogodiev, JFF Simoes, O Omar, E Li, ML Venn, PGDME, …
- Year: 2021
- Citations: 274
- Chua’s circuit implementations: yesterday, today and tomorrow
- Authors: L Fortuna, M Frasca, MG Xibilia
- Year: 2009
- Citations: 270
- Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
- Authors: J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, …
- Year: 2021
- Citations: 265
- Bifurcation and chaos in noninteger order cellular neural networks
- Authors: P Arena, R Caponetto, L Fortuna, D Porto
- Year: 1998
- Citations: 225
- Chua’s circuit can be generated by CNN cells
- Authors: P Arena, S Baglio, L Fortuna, G Manganaro
- Year: 1995
- Citations: 224
- Cellular neural networks: chaos, complexity and VLSI processing
- Authors: G Manganaro, P Arena, L Fortuna
- Year: 2012
- Citations: 211
- Does chaos work better than noise?
- Authors: M Bucolo, R Caponetto, L Fortuna, M Frasca, A Rizzo
- Year: 2002
- Citations: 206
