Shen Yuong Wong | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Shen Yuong Wong | Engineering | Best Researcher Award

Associate Professor | Sunway University | Malaysia

Dr. Wong, Shen Yuong is a researcher at Sunway University, Malaysia, specializing in energy engineering and sustainable power systems. His research centers on renewable energy integration, power quality analysis, green hydrogen technologies, photovoltaic–hydrogen systems, virtual power plants, and energy storage, with strong emphasis on techno-economic assessment and system-level optimization. He employs advanced methodologies such as deep learning, energy modelling, and multi-objective optimization to enhance grid reliability, efficiency, and sustainability. Dr. Wong has authored 54 Scopus-indexed publications, accumulating 708 citations and achieving an h-index of 13, demonstrating significant academic impact in the energy research domain. His work is published in leading international journals, including Engineering Applications of Artificial Intelligence and Process Safety and Environmental Protection. Through collaborations with more than 100 international co-authors, his research contributes to decarbonization strategies, circular economy implementation, and the development of resilient, low-carbon energy systems with meaningful societal and industrial benefits.

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Esmael Adem Esleman | Engineering | Best Researcher Award

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Assist. Prof. Dr. Esmael Adem Esleman | Engineering | Best Researcher Award

Assistant Professor | Adama Science and Technology University | Ethiopia

Dr. Esmael Adem Esleman is a researcher at Adama Science and Technology University, Adama, Ethiopia, with expertise in computational science, artificial intelligence, and applied mathematics. His research focuses on the development of AI-driven optimization and search algorithms inspired by physical and thermodynamic principles, with particular emphasis on solving complex ordinary differential equations. He has authored eight peer-reviewed publications, receiving over forty citations, and has established an emerging research profile reflected in his growing academic impact. Dr. Esleman actively collaborates with national and international researchers in interdisciplinary areas bridging mathematics, computer science, and engineering. His work contributes to improved numerical modeling, efficient computational methods, and intelligent problem-solving frameworks with potential applications in science, engineering, and data-driven decision systems, supporting technological advancement and innovation-oriented research.

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Yao Ni | Engineering | Editorial Board Member

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Dr. Yao Ni | Engineering | Editorial Board Member

Researcher | Guangdong University of Technology | China

Dr. Ni Yao is a distinguished researcher at the Guangdong University of Technology, Guangzhou, China, widely recognized for his contributions to advanced materials, neuromorphic engineering, and intelligent sensing–processing systems. With an interdisciplinary focus spanning materials science, flexible electronics, artificial intelligence hardware, and intelligent control mechanisms, his research advances next-generation photonic synaptic transistors, in-sensor reservoir computing architectures, and flexible neuromorphic devices capable of multidimensional shape morphing. Dr. Yao has authored 65 peer-reviewed publications, achieved 1,679 citations, and maintains an h-index of 23, reflecting the depth, continuity, and global influence of his scholarly work. His recent high-impact contributions include crystallized conjugated polymer-based photonic synaptic transistors, paper-based perovskite artificial neuromorphic retinas, free shape-morphing neuromorphic devices published in Nature Communications, as well as novel methodologies for industrial control deadlock avoidance, frequency-aware transformers for pipeline leak detection, and symmetric optimization models for delivery duration forecasting. Engaging in collaborations with over 160 co-authors, Dr. Yao actively contributes to multidisciplinary research communities, promoting scientific advancement across materials innovation, industrial automation, computational sensing, and AI-driven systems engineering. His work delivers broad societal impact by enabling energy-efficient intelligent devices, enhancing autonomous perception capabilities, and driving innovations that support safer, more sustainable, and technologically advanced industrial ecosystems. Through continuous innovation, rigorous scholarship, and extensive international collaboration, Dr. Ni Yao remains at the forefront of shaping future directions in intelligent materials, neuromorphic computing, and integrated sensing technologies.

Profiles: Scopus | ORCID | ResearchGate

Featured Publications

1. Wei, H., Yang, J., Fu, C., Li, Z., Ni, Y., Wang, B., He, B., Jiang, S., & He, G. (2025). ALD-driven ultra-thin ZnO channels for flexible electrolytic neuromorphic devices. IEEE Electron Device Letters.

2. Ni, Y., Zhang, Y., Lin, J., Liu, X., Yu, Y., Liu, L., Zhong, W., Chen, Y., Chen, R., Kwok, H. S., et al. (2025). Transistor-structured artificial dendrites for spatiotemporally correlated reservoir computing. IEEE Electron Device Letters.

3. Guan, X., Wu, W., & Ni, Y. (2025). A novel methodology to deadlock analysis and avoidance for automatic control systems based on Petri Net. Processes, 13(10).

4. Chen, M., Lu, Y., Wu, W., Ye, Y., Wei, B., & Ni, Y. (2025). Multi-scale frequency-aware transformer for pipeline leak detection using acoustic signals. Sensors, 25(20).

5. Ji, Z., Liu, J., He, Y., Yang, H., Zhang, L., Guan, S., Ni, Y., & Wu, T. (2025). Stretchable synaptic device with photonic–electric dual mode for sign language recognition. Advanced Materials Technologies

Farouk Zouari | Engineering | Editorial Board Member

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Assist. Prof. Dr. Farouk Zouari | Engineering | Editorial Board Member

Ecole Nationale d’Ingénieurs de Tunis | Tunisia

Dr. Farouk Zouari is a distinguished researcher at Université de Tunis El Manar, Tunisia, known for his significant contributions to control systems engineering and intelligent autonomous technologies. His research encompasses neural network–based adaptive control, nonlinear optimal control, MIMO systems, time-varying delay systems, and finite-time fuzzy synchronization of fractional-order and chaotic systems, with a strong focus on bridging theoretical advancements and real-world applications in automation, robotics, and intelligent transportation. Over his career, Dr. Zouari has produced 37 peer-reviewed publications and established a solid scholarly presence supported by 735 citations and an h-index of 17, indicating substantial impact and sustained relevance in his field. His recent works spanning robust adaptive output feedback control for time-delay MIMO systems, optimal control strategies for multi-axle autonomous vehicles, and chattering-free synchronization methods demonstrate his commitment to addressing emerging engineering challenges. With collaborations involving 30 co-authors, Dr. Zouari actively contributes to interdisciplinary progress, fostering innovation across global research communities. His work continues to support the advancement of intelligent control methodologies and their integration into next-generation dynamic and autonomous systems, contributing to both technological development and societal benefit.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276. Cited by: 82

2. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, Article 110742. Cited by: 65

3. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234. Cited by: 65

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225. Cited by: 64

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199. Cited by: 56

Chengbiao Tong | Engineering | Research Excellence Award

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Mr. Chengbiao Tong | Engineering | Research Excellence Award

Professor | Hunan Agricultural University | China

Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.

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Izhar Ahmed | Engineering | Research Excellence Award

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Mr. Izhar Ahmed | Engineering | Research Excellence Award

Institute of geology and Geophysics, CAS | China

Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.

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Yong Xu | Engineering | Research Excellence Award

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Mr. Yong Xu | Engineering | Research Excellence Award

Associate Researcher | Aerospace Technology Institute of CARDC | China

Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.

Profile: ORCID

Featured Publications

1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI

2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251

Jia Jinlong | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

Profile: Scopus 

Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944

Sümeyye Sınır | Engineering | Research Excellence Award

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Dr. Sümeyye Sınır | Engineering | Research Excellence Award

Lecturer | İzmir Katip Çelebi University | Turkey

Dr. Sümeyye Sınır is a researcher at İzmir Kâtip Çelebi University in Izmir, Turkey, specializing in applied mechanics, nonlinear systems, and fractional calculus, with a focus on developing innovative mathematical and computational methods for analyzing complex dynamical behaviors. She has authored 3 peer-reviewed publications, which have collectively received 63 citations, and holds an h-index of 2, reflecting her emerging influence in the field of applied mechanics and nonlinear dynamics. Among her notable contributions is the development of a general solution procedure for nonlinear single-degree-of-freedom systems incorporating fractional derivatives, providing critical insights for engineering applications, physics modeling, and mechanical system simulations. Dr. Sınır actively collaborates with colleagues across mathematics, engineering, and computational mechanics, demonstrating a commitment to interdisciplinary research and advancing methodologies that bridge theoretical developments with practical applications. Her work enhances the understanding and prediction of complex nonlinear behaviors, supporting innovations in structural engineering, robotics, energy systems, and other technologically relevant domains. Through her research, she contributes to improved simulation accuracy, efficient system design, and the development of tools that address real-world engineering challenges, translating theoretical insights into tangible societal benefits. Committed to scientific rigor, innovation, and collaboration, Dr. Sınır continues to expand her research portfolio, strengthen academic partnerships, and advance methodologies in nonlinear mechanics, promoting both the theoretical foundation and applied solutions in engineering and physics, while fostering technological progress and contributing to the broader scientific community through impactful research and interdisciplinary engagement.

Profiles: Google Scholar | Scopus | ResearchGate

Featured Publications

1. Sınır, S., Çevik, M., & Sınır, B. G. (2018). Nonlinear free and forced vibration analyses of axially functionally graded Euler-Bernoulli beams with non-uniform cross-section. Composites Part B: Engineering, 148, 123–131. (Cited by 76)

2. Sınır, S., Yıldız, B., & Sınır, B. G. (2021). Approximate solutions of nonlinear pendulum with fractional damping. In 5th International Students Science Congress Proceedings Book (p. 295). (Cited by 3)

3. Sınır, S., & Çevik, M. (2013). Taylor matrix solution of Euler-Bernoulli beam equation subjected to static loads. In Proceedings of the Fourth International Conference on Mathematical and …. (Cited by 3)

4. Sınır, S., Yıldız, B., & Sınır, B. G. (2025). A general solution procedure for nonlinear single degree of freedom systems including fractional derivatives. International Journal of Non-Linear Mechanics, 169, 104966. (Cited by 2)

5. Küzün, D., Yıldız, B., & Sınır, S. (2023). Euler-Bernoulli beam with fractional viscoelastic boundary conditions. 18. UBAK Kongresi. (Cited by 1)

Luigi Fortuna | Engineering | Academic Excellence Recognition Award

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Prof. Luigi Fortuna | Engineering | Academic Excellence Recognition Award

Free Scientist at University of Catania | Italy

Prof. Luigi Fortuna is a distinguished scholar in Electrical Engineering whose career has been defined by groundbreaking contributions to control theory, nonlinear dynamics, and complex systems engineering. His research has seamlessly integrated theoretical advancements with real-world applications in areas such as plasma control, bio-inspired robotics, and semiconductor innovation. With an exceptional publication record of more than 750 articles, over 13,000 citations, an H-index exceeding 60, and authorship of 24 books, he has established himself as a global leader in his field. He has supervised hundreds of Master’s and Ph.D. students, shaping the future of engineering research worldwide. Recognized internationally, he is an IEEE Life Fellow, IEICE Fellow, and AIAA Fellow, as well as an influential editor, keynote speaker, and project leader in European and global collaborations. His achievements highlight a career dedicated not only to advancing knowledge but also to fostering innovation, mentorship, and international scientific cooperation.

Professional Profiles

Google Scholar | Scopus Profile | ORCID Profile 

Education

Prof. Luigi Fortuna pursued his higher education in Electrical Engineering at the University of Catania, where he graduated with distinction (cum laude). His academic foundation was built upon a strong interest in automation, system theory, and nonlinear dynamics, which would later define his career. Throughout his academic journey, he developed expertise in robust control, complex systems, and bioengineering, blending mathematics, engineering, and physics into multidisciplinary research. He further enhanced his academic profile through visiting researcher roles at leading institutions such as the Joint European Torus (JET) in the United Kingdom, where he contributed to plasma control systems. His education was not limited to technical mastery but also cultivated leadership and vision, preparing him to take on significant roles in academia and international research projects. This strong academic background provided the essential base for his contributions to advanced system theory, innovation in nonlinear circuits, and the development of bio-inspired robotic systems.

Experience

Prof. Luigi Fortuna has a career spanning decades of teaching, research, and leadership in Electrical Engineering and System Theory. He has served as a Full Professor of System Theory at the University of Catania, where he also held leadership roles such as Dean of the Faculty of Engineering and Coordinator of Ph.D. programs. His teaching experience includes delivering more than seventy courses and supervising hundreds of theses, shaping generations of engineers and researchers. Beyond academia, he has played a vital role in advancing international research collaborations through projects supported by the European Union, national funding bodies, and bilateral agreements with global partners. His contributions extend to innovation and technology transfer, having co-invented eleven industrial patents and directed research laboratories in complex systems, microelectronics, and robotics. As a speaker and organizer of major international conferences, he has strengthened global scientific exchange, while his editorial and evaluation board responsibilities demonstrate his influence on research policy.

Research Interest

Prof. Fortuna’s research interests cover a wide spectrum of areas within Electrical Engineering and System Theory, with a strong focus on bridging theoretical innovation with practical applications. His work in robust control and model order reduction has contributed to advancing efficient system design, while his exploration of nonlinear circuits has provided insights into chaos, synchronization, and emerging applications in communications and signal processing. He has also made pioneering contributions to bio-inspired robotics, developing innovative locomotion and control mechanisms inspired by nature. Plasma control for Tokamak devices represents another area where his expertise has significantly influenced energy research and fusion technologies. Furthermore, his interest in complex system engineering and cellular neural networks has expanded the understanding of how large-scale interconnected systems can be modeled and controlled. His interdisciplinary approach continues to drive breakthroughs at the intersection of electronics, control systems, and bioengineering, making his work globally relevant across academia and industry.

Awards and Honors

Prof. Fortuna’s illustrious career has been recognized through numerous awards, fellowships, and honors from prestigious scientific communities. He is an IEEE Life Fellow, reflecting his sustained and impactful contributions to the field of circuits and systems. In addition, he has been honored as a Fellow of both the Institute of Electronics, Information and Communication Engineers (IEICE) and the American Institute of Aeronautics and Astronautics (AIAA), affirming the international breadth of his influence. He has served as Distinguished Lecturer for IEEE, delivered plenary talks at renowned global conferences, and been invited to share his expertise across leading institutions in Asia, Europe, Africa, and the United States. His service as an editor and board member for high-impact journals, as well as chairmanship of major IEEE and IFAC conferences, further highlight his professional standing. These distinctions underscore his dual excellence in advancing research and fostering international collaboration within the global scientific community.

Research Skills

Prof. Fortuna possesses a rich set of research skills that have allowed him to contribute extensively across multiple domains of engineering and applied sciences. He is highly skilled in system modeling, control design, and nonlinear dynamics, with expertise in applying mathematical frameworks to solve complex engineering challenges. His proficiency in advanced computational tools, including MATLAB-based simulations, supports his work in model order reduction, robust control, and bio-inspired system development. He has also demonstrated remarkable innovation in circuit design, chaos theory applications, and bio-robotics, integrating theoretical research with experimental implementations. His ability to lead multidisciplinary teams and manage large-scale international projects reflects strong organizational and leadership skills. Additionally, his patent portfolio illustrates his talent in technology transfer and applied research. With editorial experience and peer-review expertise, he also demonstrates critical evaluation and scientific communication skills, making him a versatile researcher and mentor within academia, industry, and professional societies.

Publication Top Notes

Title: Fractional order systems: modeling and control applications
Authors: R Caponetto, G Dongola, L Fortuna, I Petras
Year: 2010
Citations: 1427

Title: Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series (MJ Grimble, MA Johnson, eds.)
Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
Year: 2007
Citations: 1187

Title: Chaotic sequences to improve the performance of evolutionary algorithms
Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
Year: 2003
Citations: 663

Title: Timing of surgery following SARS‐CoV‐2 infection: an international prospective cohort study
Authors: GS Collaborative, COVIDSurg Collaborative
Year: 2021
Citations: 616

Title: Soft sensors for product quality monitoring in debutanizer distillation columns
Authors: L Fortuna, S Graziani, MG Xibilia
Year: 2005
Citations: 425

Title: Model order reduction techniques with applications in electrical engineering
Authors: L Fortuna, G Nunnari, A Gallo
Year: 2012
Citations: 331

Title: 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: 306

Title: A chaotic circuit based on Hewlett-Packard memristor
Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
Year: 2012
Citations: 305

Title: 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: 298

Title: 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: 292

Title: Chua’s circuit implementations: yesterday, today and tomorrow
Authors: L Fortuna, M Frasca, MG Xibilia
Year: 2009
Citations: 279

Title: Bifurcation and chaos in noninteger order cellular neural networks
Authors: P Arena, R Caponetto, L Fortuna, D Porto
Year: 1998
Citations: 239

Title: Chua’s circuit can be generated by CNN cells
Authors: P Arena, S Baglio, L Fortuna, G Manganaro
Year: 2002
Citations: 225

Conclusion

Prof. Luigi Fortuna is highly deserving of the Academic Excellence Recognition Award. His pioneering work in nonlinear circuits, robust control, and bio-inspired systems has had a lasting impact on both academia and industry. With over four decades of leadership, 758 publications, multiple books, patents, and global collaborations, he exemplifies the very essence of academic excellence. His contributions to training the next generation of scholars, advancing scientific innovation, and strengthening international cooperation make him a model candidate for recognition. Looking ahead, his expertise and leadership will continue to shape the future of engineering, complex systems, and global research networks.