Luigi Fortuna | Engineering | Excellence in Innovation Award

Published on by Book of 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.*

Hassan Ramchoun | Mathematics | Best Researcher Award

Published on by Book of Award

Dr. Hassan Ramchoun | Mathematics | Best Researcher Award

Moulay Ismail University | Morocco

Author Profile

Scopus

Early Academic Pursuits

Dr. Hassan Ramchoun’s academic journey reflects a strong foundation in mathematics and computer science. Beginning with his bachelor’s studies in applied mathematics, he progressively advanced through a master’s degree in operations research and statistics, where he explored Bayesian approaches in artificial neural networks for medical imaging. His doctoral research in applied mathematics and computer science further solidified his expertise, focusing on parameter and hyper-parameter estimation in Bayesian neural networks with applications in classification and regression. These early experiences shaped his specialization in applied mathematics, artificial intelligence, and machine learning.

Professional Endeavors

Dr. Ramchoun has built a diverse academic career with teaching, research, and leadership responsibilities. Since joining ENCG Meknès, Moulay Ismail University, as a lecturer, he has also taught at multiple institutions including ENSAM Meknès and the Euro-Mediterranean University of Fès. His teaching portfolio covers a wide spectrum, from probability and statistics to optimization, data analysis, and artificial intelligence. His active engagement in curriculum design, supervision of students, and participation in doctoral juries reflects his deep commitment to higher education and student mentorship.

Contributions and Research Focus

Dr. Ramchoun’s research focuses on applied mathematics, artificial intelligence, and data science, with particular emphasis on Bayesian neural networks, deep learning, optimization, and statistical learning methods. He has contributed to developing new methods for training and optimizing neural networks, incorporating regularization and Bayesian inference. His work extends to multi-objective optimization for neural architectures, convolutional neural networks, and applications in big data analytics. His scholarly contributions are reflected in numerous publications in international journals and conferences, alongside editorial contributions to Springer volumes on artificial intelligence and industrial applications.

Accolades and Recognition

Dr. Ramchoun’s academic excellence has been acknowledged through distinctions such as the CNRST excellence research scholarship and his recognition for doctoral work with high honors. His research output is regularly published in reputed international journals including Neurocomputing, Knowledge-Based Systems, Soft Computing, and Evolving Systems. His active involvement as a reviewer for leading journals and as a member of scientific committees of conferences demonstrates recognition of his expertise by the global scientific community.

Impact and Influence

Through his work, Dr. Ramchoun has significantly influenced both the academic and applied dimensions of artificial intelligence. His innovations in neural network optimization and Bayesian learning methods have advanced understanding in machine learning research, while his teaching and supervision of master’s and doctoral students have contributed to developing future generations of researchers. By bridging theoretical modeling with practical applications, his contributions have relevance not only in academia but also in applied domains such as data science, robotics, and image processing.

Legacy and Future Contributions

The legacy of Dr. Ramchoun lies in his efforts to advance the integration of applied mathematics with artificial intelligence, particularly in deep learning and Bayesian modeling. His involvement in research projects, scientific committees, and international conferences ensures that his contributions extend beyond publications to shaping the field itself. Looking forward, his continued work in optimization techniques, advanced statistical learning, and interdisciplinary applications promises to strengthen the role of artificial intelligence in addressing scientific and industrial challenges.

Publications

  • Article: Convergence of batch gradient descent with learnable smooth masks for pruning feedforward neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Neurocomputing
    Year: 2025

  • Article: Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
    Authors: Elghazi, Khalid, Ramchoun, Hassan, Masrour, Tawfik
    Journal: Evolving Systems
    Year: 2024

  • Article: Implicitly adaptive optimal proposal in variational inference for Bayesian learning
    Authors: Bakhouya, Mostafa, Ramchoun, Hassan, Hadda, Mohammed, et al.
    Journal: International Journal of Data Science and Analytics
    Year: 2024

  • Article: Gaussian Mixture Models for Training Bayesian Convolutional Neural Networks
    Authors: Bakhouya, M., Ramchoun, H., Hadda, M., Masrour, T.
    Journal: Evolutionary Intelligence (Springer)
    Year: 2024

  • Article: Sparse smooth group L0L1/2 regularization method for convolutional neural networks
    Authors: Quasdane, M., Ramchoun, H., Masrour, T.
    Journal: Knowledge-Based Systems
    Year: 2023

Conclusion

Dr. Hassan Ramchoun exemplifies the qualities of a dedicated academic, innovative researcher, and committed educator. His career reflects a balance of teaching excellence, impactful research, and institutional service. With strong foundations in mathematics and expertise in artificial intelligence, his contributions are shaping the evolving landscape of machine learning and data science. His recognition, publications, and leadership in academic communities confirm his standing as an influential figure whose work will continue to resonate in both research and applied domains.

Xiaoli Wu | Engineering | Best Researcher Award

Published on by Book of 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