Luigi Fortuna | Engineering | Excellence in Innovation Award

Prof. Luigi Fortuna | Engineering | Excellence in Innovation Award

Universit Di Catania | Italy

Prof. Luigi Fortuna is a distinguished researcher whose prolific contributions have significantly advanced the fields of automation, nonlinear systems, bioengineering, and control theory. Over his career, he has published 760 scientific documents, accumulating 14,687 citations and achieving an impressive h-index of 67, reflecting the depth and impact of his scholarly output. His extensive body of work spans topics such as robust control, model order reduction, nonlinear electronic circuits, bio-inspired robotics, and complex system engineering. He has co-authored 24 internationally recognized books, including Nonlinear Resonance from Circuits to Systems (2025) and Essentials of Automatic Control with MATLAB in 20 Lessons (2025), which have become key academic resources. A mentor to over 400 thesis projects and 60 Ph.D. students, his dedication to education and innovation is unparalleled. Prof. Fortuna’s research integrates theory and application, exemplified by his 11 industrial patents that bridge academic insight with technological innovation. His leadership roles—such as Dean of Engineering at the University of Catania and Director of the Innovation Relay Center—underscore his influence in academia and industry alike. His interdisciplinary vision continues to inspire advancements in nonlinear dynamics, intelligent systems, and quantum-inspired engineering research worldwide.

Profiles : Scopus | Google Scholar

Featured Publications

Yadav, U. K., Singh, V. P., Fortuna, L., & Sahu, U. K. (2025). SMART-based multi-point matching assisted approximation of renewable interconnected power system. IEEE Access.

Lai, Q., Liu, Y., & Fortuna, L. (2024). Dynamical analysis and fixed-time synchronization for secure communication of hidden multiscroll memristive chaotic system. IEEE Transactions on Circuits and Systems I: Regular Papers.

Fortuna, L., & Buscarino, A. (2024). The impact of circuits and systems on the Etna Valley site [CAS Regional Report]. IEEE Circuits and Systems Magazine, 24(2), 98–100.

Bucolo, M., Buscarino, A., Famoso, C., Fortuna, L., & Frasca, M. (2019). Control of imperfect dynamical systems. Nonlinear Dynamics, 98, 2989–2999.

Buscarino, A., Corradino, C., Fortuna, L., Frasca, M., & Chua, L. O. (2016). Turing patterns in memristive cellular nonlinear networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(8), 1222–1230.

Buscarino, A., Gambuzza, L. V., Porfiri, M., Fortuna, L., & Frasca, M. (2013). Robustness to noise in synchronization of complex networks. Scientific Reports, 3(1), 2026.

Frasca, M., Bergner, A., Kurths, J., & Fortuna, L. (2012). Bifurcations in a star-like network of Stuart–Landau oscillators. International Journal of Bifurcation and Chaos, 22(7), 1250173.

Fortuna, L., Frasca, M., & Xibilia, M. G. (2009). Chua’s circuit implementations: Yesterday, today and tomorrow (Vol. 65). World Scientific.

Caponetto, R., Fortuna, L., Fazzino, S., & Xibilia, M. G. (2003). Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Transactions on Evolutionary Computation, 7(3), 289–304.

Bucolo, M., Caponetto, R., Fortuna, L., Frasca, M., & Rizzo, A. (2002). Does chaos work better than noise? IEEE Circuits and Systems Magazine, 2(3), 4–19.*

Donato Abruzzese | Engineering | Best Researcher Award

Prof. Donato Abruzzese | Engineering | Best Researcher Award

University of Rome “Tor Vergata” | Italy

Prof. Donato Abruzzese is an eminent scholar in structural and seismic engineering, holding an h-index of 11, with 31 documents and 380 citations across 340 publications. Currently serving as an Associate Professor at the University of Rome “Tor Vergata,” he has made significant contributions to the fields of structural analysis, cultural heritage preservation, and seismic safety of historical masonry structures. His research encompasses dynamic identification of ancient towers, IoT-based structural health monitoring, and innovative approaches to rehabilitation of monuments. Prof. Abruzzese has authored over 100 scientific papers published in high-impact international journals and conference proceedings. A member of RELUIS (National Laboratories of Seismic Engineering) and the Italian Association of Engineers, he has collaborated extensively with global institutions across the USA, China, Mongolia, Japan, and beyond. His expertise is recognized through peer-review roles for leading journals such as Journal of Cultural Heritage, Structural Health Monitoring, and Construction and Building Materials. He has received honors including Honorary Professor of Mongolian Technical University  and Distinguished Visiting Professor at Yangzhou University. Through his pioneering research in heritage structure resilience, advanced materials, and smart monitoring systems, Prof. Abruzzese continues to shape the evolution of civil and structural engineering worldwide.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Wang, P., Liu, G., Li, F., Li, S., Milani, G., & Abruzzese, D. (2025). Assessment of knot-induced degradation in timber beams: Probabilistic modeling and data-driven prediction of load capacity loss. Buildings, 15(12), 2058.

Liu, W., Yang, N., Liu, B., Feng, H., Wang, B., Du, K., & Abruzzese, D. (2025). Sensitivity analysis and optimization of user-defined parameters in covariance-driven stochastic subspace identification. International Journal of Structural Stability and Dynamics, 25(4).

Liu, W., Yang, N., Abruzzese, D., & Bai, F. (2024). Identification of dynamic characteristics of a heritage building—Yingxian Wooden Pagoda. In Advances in Structural Dynamics and Monitoring (pp. xxx–xxx). Springer.

Lettieri, R., Fazio, V., Abruzzese, D., Di Bartolomeo, E., D’Ottavi, C., Micheletti, A., Tiero, A., Duranti, L., Armuzza, V., & Licoccia, S. (2024). Influence of natural additives on the properties of a milk-based compostable bioplastic. RSC Advances, 14(xx), xxx–xxx.

Liu, W., Yang, N., Bai, F., & Abruzzese, D. (2023). Automatic identification of structural modal parameters under ambient excitation and its application to heritage timber structures. In Advances in Structural Engineering and Heritage Conservation (pp. xxx–xxx). Springer.

Li, F., Abruzzese, D., Milani, G., & Li, S. (2022). Influence of internal defects of semi-grouted sleeve connections on the seismic performance of precast monolithic concrete columns. Journal of Building Engineering, 51, 104009.

Abruzzese, D., Paterna, P., Marocchini, C., Vuth, S. M., Micheletti, A., Rosa, C., Tiero, A., & Sukaj, S. (2022). The necessary permanent WiFi health monitoring of the structures as condition for the smart buildings in smart cities. INGENIOUS, 1(1), 45–60.

Abruzzese, D. (2021). An iterative rectification procedure analysis for historical timber frames: Application to a cultural heritage Chinese pavilion. Engineering Structures, 236, 112083.

Abruzzese, D. (2021). Permanent monitoring of thin structures with low-cost devices. Curved and Layered Structures, 8(2), 145–154.

Abruzzese, D. (2020). Behavior of traditional Chinese mortise-tenon joints: Experimental and numerical insight for coupled vertical and reversed cyclic horizontal loads. Journal of Building Engineering, 32, 101575.

Abruzzese, D. (2020). BlockNet: A new flexible control architecture. In Proceedings of the 28th Mediterranean Conference on Control and Automation (MED) (pp. xxx–xxx). IEEE.

Abruzzese, D. (2020). Exoway: An exoskeleton on actuated wheels. arXiv Preprint, arXiv:2010.13393.

Abruzzese, D. (2020). IoT sensors for modern structural health monitoring: A new frontier. Procedia Structural Integrity, 26, 123–132.

Abruzzese, D. (2020). Multidisciplinary researches in cultural heritage studies: An approach on Akkale Cistern in Erdemli, Mersin. Cultural Heritage and Science, 5(1), 55–66.

 

Xiaoli Wu | Engineering | Best Researcher Award

Prof. Xiaoli Wu | Engineering | Best Researcher Award

Nanjing University of Science and Technology | China

Author Profile

Orcid

Early Academic Pursuits 🎓

Prof. Xiaoli Wu's academic journey began with a Bachelor’s degree in Industrial Design from Shaanxi University of Science & Technology in 2003, followed by a Master’s in Mechanical Design and Theory from the same institution. She earned her PhD in Mechanical Engineering with a specialization in Human-Computer Interaction from Southeast University in 2015. Her scholarly curiosity and ambition were evident early, paving the way for a global academic footprint.

Professional Endeavors and Milestones 🌏

Currently a professor in the Department of Industrial Design at Nanjing University of Science & Technology, Prof. Wu leads the Laboratory of Human Factors and Information System Design. Her career spans roles as lecturer and associate professor at Hohai University and visiting professorships at prestigious institutions, including the University College London and Loughborough University in the UK. Notably, she was a research scholar at the Australian National University, contributing to the Human-Centered Computing group.

Contributions and Research Focus 🧠

Prof. Wu’s research is a confluence of Human-Computer Interaction, Information Visualization, and Intelligent Interaction. Her groundbreaking studies explore cognitive ergonomics, visual cognition mechanisms, and design optimization in complex systems. Her expertise extends to intelligent manufacturing and real-time information systems, making her a pioneer in applying design principles to advanced technological ecosystems.

Accolades and Recognition 🏆

Prof. Wu’s excellence has been acknowledged through numerous awards, such as the prestigious “333” High-Level Personnel Scholar of Jiangsu Province and recognition for her innovative work on visual-cognition and error-cognition mechanisms. Her research grants from national and provincial foundations highlight her leadership in cutting-edge studies, totaling over millions of CNY.

Impact and Influence 🌍

As a member of the Chinese Ergonomics Society and editor for prominent journals, Prof. Wu plays a vital role in shaping discourse in design and ergonomics. Her work as a peer reviewer for esteemed publications ensures that the highest standards of research are upheld. Her books, such as Design and Cognition and Human-Computer Interaction in Intelligent Manufacturing, are invaluable resources for academics and practitioners alike.

Legacy and Future Contributions ✨

Prof. Wu's dedication to teaching and mentoring spans nearly two decades, guiding graduate and postgraduate students in design cognition and human-computer interaction. Her innovative methods and interdisciplinary approach continue to inspire a new generation of researchers. With forthcoming publications and ongoing projects, her contributions are set to leave an indelible mark on the fields of industrial design and intelligent systems.

 

Publications


  • 📄"Effective Factors of Icons Searching Performance Based on Visual Attention Capture for the Nuclear Power Plants"
    • Journal: Journal of the Society for Information Display
    • Year: 2023
    • Authors: Xiaoli Wu, Can Zhou, Yuqi He, Qian Li, Shikang Yu

  • 📄"How Information Within the Perceptual Span Guides Visual Search and Aids Perception"
    • Journal: Displays
    • Year: 2023
    • Authors: Yufeng Chen, Chenyi Liao, Xiaoli Wu, Zexi Fang, Lan Zhang

  • 📄"Study on the Correlation and Inhibition of Visual Marking and Industrial Icons"
    • Journal: Displays
    • Year: 2023
    • Authors: Xiaoli Wu, Ke Zhang, Zexi Fang, Duncan P. Brumby, Xiaoyang Mao, Xiaoyan Wang, Qian Li

  • 📄"Exploring the Relationships Between Distractibility and Website Layout of Virtual Classroom Design with Visual Saliency"
    • Journal: International Journal of Human–Computer Interaction
    • Year: 2022
    • Authors: Shanshan Chen, Xiaoli Wu, Yajun Li

  • 📄"Study on Semantic‐Entity Relevance of Industrial Icons and Generation of Metaphor Design"
    • Journal: Journal of the Society for Information Display
    • Year: 2022
    • Authors: Xiaoli Wu, Han Yan, Niu Jiaran, Zhifeng Gu