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.

Citation Metrics (Scopus)

40

30

20

10

0

Citations
32

Documents
16

h-index
3
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       🟥Documents
     🟩h-index


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 View ORCID Profile

Featured Publications

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.

Citation Metrics (Scopus)

36

25

15

5

0

Citations

36

Documents

6

h-index

3

Citations

Documents

h-index

View Scopus Profile View ORCID Profile

Featured Publications

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.

Muhammad Ali | Engineering | Best Researcher Award

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Dr. Muhammad Ali | Engineering | Best Researcher Award

Asssitant Professor at University of Engineering and Technology, Pakistan

Dr. MuhammadAli Falak is a distinguished civil engineering scholar with a Ph.D. from Texas A&M University, an M.Sc. from the University of Tokyo, and a B.Sc. from UET Lahore. His expertise spans geotechnical engineering, climate change mitigation, and sustainable infrastructure. With over a decade of teaching experience, he has mentored numerous students and led impactful national and international research projects. Dr. Falak has received prestigious awards, including the Fulbright and MEXT scholarships, and recognition from the US Department of State for climate education initiatives. He is a prolific trainer, educator, and mentor, contributing significantly to academic, environmental, and community development. His leadership roles, including presidency in student associations and founding of educational platforms, reflect his commitment to global education and innovation. With multiple fellowships, scholarly publications, and media features, Dr. Falak exemplifies excellence and is highly suitable for the Best Researcher Award, showcasing research impact, leadership, and dedication to societal betterment.

Professional Profile

Education🎓

Dr. MuhammadAli Falak has an impressive and diverse educational background that reflects his global academic journey and commitment to excellence. He earned his Ph.D. in Civil Engineering from Texas A&M University, USA, where he specialized in sustainable infrastructure and geotechnical engineering. Prior to that, he obtained his M.Sc. in Civil Engineering from the University of Tokyo, Japan, under the prestigious MEXT scholarship, gaining advanced knowledge in infrastructure resilience and environmental engineering. He began his academic path with a B.Sc. in Civil Engineering from the University of Engineering and Technology (UET) Lahore, Pakistan, where he laid the foundation for his technical expertise. Throughout his educational career, Dr. Falak has been recognized with several prestigious awards and scholarships, including the Fulbright and MEXT, for his academic excellence and potential in research leadership. His diverse international education has equipped him with a global perspective and advanced interdisciplinary skills essential for impactful research and innovation.

Professional Experience📝

Dr. MuhammadAli Falak possesses a rich and dynamic professional background shaped by academic, research, and engineering leadership roles across the globe. He currently serves as a Postdoctoral Research Associate at Texas A&M University, where he contributes to pioneering research in sustainable geotechnical infrastructure and climate-resilient engineering systems. Previously, he worked as a Research Fellow at the University of Tokyo, engaging in multidisciplinary projects focused on disaster mitigation and smart infrastructure. Dr. Falak has also served as a Lecturer in Civil Engineering at UET Lahore, Pakistan, where he mentored students and led practical engineering projects. His professional journey includes collaborations with governmental and international organizations, contributing to policy and planning for sustainable urban development. With hands-on experience in both academic and applied engineering environments, Dr. Falak has demonstrated expertise in project management, interdisciplinary research, and advanced modeling techniques. His professional experience reflects a strong commitment to innovation, global collaboration, and engineering solutions that address real-world challenges.

Research Interest🔎

Dr. MuhammadAli Falak’s research interests lie at the intersection of sustainable infrastructure development, climate-resilient geotechnical engineering, and disaster risk mitigation. His work focuses on designing and evaluating engineering systems that can withstand the impacts of climate change, including extreme weather events and natural disasters. He is particularly interested in the application of advanced modeling techniques, data-driven decision-making, and geospatial analysis to develop smart and adaptive infrastructure. Dr. Falak also explores sustainable urban planning and green construction materials to reduce environmental footprints. His interdisciplinary approach integrates civil engineering, environmental science, and data analytics, enabling the development of innovative solutions for global infrastructure challenges. With a strong commitment to advancing resilient development practices, he collaborates with international institutions and policymakers to translate research into impactful applications. His research not only contributes to academic advancement but also supports sustainable growth and safety in vulnerable communities around the world.

Award and Honor🏆

Dr. MuhammadAli Falak has received numerous awards and honors in recognition of his exceptional contributions to civil and environmental engineering. His innovative research on climate-resilient infrastructure and sustainable development has earned him accolades from both academic and professional organizations. He has been honored with prestigious fellowships and research grants from international bodies that support cutting-edge scientific exploration. Dr. Falak’s leadership in interdisciplinary projects has been acknowledged through awards for excellence in engineering education and applied research. His impactful publications in high-impact journals and presentations at global conferences have also led to several best paper awards. Additionally, he has been recognized for his mentorship and dedication to student development, receiving appreciation from both institutions and professional societies. These honors reflect his unwavering commitment to advancing engineering practices for the benefit of society and the environment. His achievements serve as a testament to his visionary approach and dedication to global sustainable progress.

Conclusion💡

Dr. MuhammadAli Falak is highly suitable for the Best Researcher Award based on his:

  • Exceptional academic trajectory,

  • Leadership in impactful interdisciplinary projects,

  • International exposure and community engagement,

  • Numerous recognitions and grants,

  • Dedication to mentoring, education, and global outreach.

Publications Top Noted✍️

  • Title: A novel index to predict the cost of green resilient buildings
    Authors: M. Ali, A. Zubair, J. Israr, W. Abbass, Z. Masoud, A. Mohamed
    Year: 2025
    Cited by: 1

  • Title: Prediction of small-strain elastic stiffness of natural and artificial soft rocks subjected to freeze-thaw cycles
    Authors: M. Ali, A. Zubair, Z. Farooq, K. Farooq, Z. Masoud
    Year: 2025
    Cited by: Not yet cited

  • Title: A Review on Gas Migration Processes Through Engineered and Geological Barriers
    Authors: M. Sanchez, M.A. Falak, B. Zhou
    Year: 2019
    Cited by: Not specified

  • Title: Gas Flow through Unsaturated Scaled Barrier for the Disposal of High-Level Nuclear Waste
    Authors: M.A. Falak, M. Sanchez, E.R. Morales
    Year: 2022
    Cited by: Not specified

Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

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Dr. Domenico Di Grazia | Engineering | Industry Innovation Recognition Award

Principal Engineer at STMicroelectronics, Italy

Domenico Di Grazia is a seasoned GNSS Signal Senior Engineer and team leader at STMicroelectronics, recognized for his outstanding contributions to satellite navigation technology. With over two decades of experience, he has led the design and implementation of innovative algorithms for signal acquisition, tracking, and precise positioning across global constellations including GPS, Galileo, and Beidou. He holds several U.S. patents in anti-jamming, multipath mitigation, and signal reacquisition, reflecting his pioneering role in advancing GNSS solutions, particularly for autonomous driving applications. His work bridges industrial innovation and academic collaboration, as he actively mentors students and contributes to international projects and publications. While his impact in applied research and embedded system design is significant, further academic publications could enhance his scholarly visibility. Nonetheless, his leadership, technical depth, and real-world impact position him as an ideal candidate for the Research for Innovation Recognition Award, celebrating excellence in applied engineering innovation.

Professional Profile 

Education🎓

Domenico Di Grazia holds a Master’s degree in Telecommunications Engineering from the University of Naples Federico II, one of Italy’s leading technical universities. He graduated summa cum laude in July 2001, demonstrating exceptional academic performance. His thesis focused on MPEG-4 technology, developed in collaboration with Uni.Com (Telit Group), where he gained early exposure to real-world digital signal processing and multimedia systems. His foundational education provided strong expertise in digital communications, signal processing, and embedded systems—core areas that later shaped his professional focus in GNSS technology. Prior to his university studies, he completed his secondary education at Liceo Scientifico in Lagonegro, graduating with a perfect score of 60/60. Throughout his academic journey, Domenico showed a strong inclination toward innovation and research, which has seamlessly translated into his professional achievements. His education laid the groundwork for a successful career in developing cutting-edge satellite navigation technologies and collaborating on international research initiatives.

Professional Experience📝

Domenico Di Grazia brings over 20 years of professional experience in GNSS and digital signal processing, primarily at STMicroelectronics. Since joining the company in 2003, he has advanced from a software designer to the GNSS DSP Team Leader, overseeing algorithm development, chip design specifications, and cross-site team management. His work focuses on the modeling and implementation of advanced signal processing techniques for GPS, Galileo, Beidou, and other global navigation systems, with applications in high-precision positioning and autonomous driving. He has led several innovative projects, authored patents in anti-jamming, signal reacquisition, and tracking, and contributed to international collaborations and conferences. Prior to STMicroelectronics, he worked as a hardware and firmware designer at Uni.Com (Telit Group), gaining hands-on experience in DVB standards and SMART TV systems. Domenico’s career reflects a blend of deep technical expertise, leadership, and real-world impact, making him a driving force in GNSS innovation and embedded system design.

Research Interest🔎

Domenico Di Grazia’s research interests lie at the intersection of advanced signal processing, satellite navigation systems, and embedded system innovation. He specializes in the development of algorithms for GNSS signal acquisition, reacquisition, and tracking across multiple constellations, including GPS, Galileo, Beidou, and IRNSS. His focus extends to precise positioning technologies through carrier phase and pseudorange measurements, multipath mitigation, and cycle slip detection. Domenico is particularly passionate about enhancing GNSS performance in challenging environments, contributing to the evolution of anti-jamming and anti-spoofing techniques for reliable navigation. He is actively involved in designing GNSS-enabled systems for autonomous driving, integrating functional safety standards. His work emphasizes real-time implementation on embedded platforms, bridging theoretical models with practical applications. Additionally, his interest in fostering industry-academia collaboration fuels his contributions to training, mentoring, and joint research initiatives with universities, reinforcing his commitment to technological innovation and next-generation navigation systems.

Award and Honor🏆

Domenico Di Grazia has earned widespread recognition for his contributions to GNSS signal processing and satellite navigation technologies. He holds several prestigious U.S. patents, reflecting his innovative work in areas such as anti-jamming, signal reacquisition, digital demodulation, and multi-constellation satellite tracking. These patented technologies have been instrumental in advancing precise positioning and enhancing signal reliability in complex environments. In addition to his intellectual property achievements, Domenico has co-authored several influential articles published in international journals and conference proceedings, including contributions to ION and GPS World. His role as a team leader at STMicroelectronics and as a key contributor to international collaborative projects has further solidified his reputation as a global expert in GNSS technologies. Recognized within the industry for driving advancements in automotive GNSS applications, particularly for autonomous driving, Domenico’s innovations continue to impact the field. His consistent excellence and commitment make him a strong candidate for technical and research-oriented honors.

Research Skill🔬

Domenico Di Grazia possesses advanced research skills in digital signal processing, algorithm development, and satellite navigation technologies. His expertise spans modeling and real-time implementation of innovative acquisition, reacquisition, and tracking algorithms for multi-constellation GNSS systems, including GPS, Galileo, Beidou, and IRNSS. He is highly skilled in programming languages such as C, MATLAB, and Python, which he uses to develop and test complex signal processing solutions on embedded platforms. Domenico excels in applying carrier phase and pseudorange measurement techniques, multipath mitigation, and cycle slip detection to enhance GNSS accuracy and reliability. His deep understanding of anti-jamming and anti-spoofing strategies supports robust navigation systems for critical applications like autonomous driving. He also demonstrates strong collaboration and mentoring skills, contributing to research initiatives with universities and guiding young engineers. His ability to integrate theoretical research with industrial application showcases his strength as a well-rounded innovator in the field of GNSS technology.

Conclusion💡

Domenico Di Grazia is highly suitable for the Research for Innovation Recognition Award. His career exemplifies cutting-edge technological innovation, deep domain expertise, and meaningful contributions to global industries such as autonomous systems and telecommunications.

His leadership in patent-worthy research, direct real-world impact, and sustained commitment to advancing GNSS technologies make him an excellent candidate. Strengthening academic visibility and broadening interdisciplinary reach could further elevate his innovation profile.

Publications Top Noted✍️

1. Title: Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices
Authors: Domenico Di Grazia, Fabio Pisoni, Giovanni Gogliettino, Ciro Gioia, Daniele Borio
Year: 2025
DOI: 10.3390/engproc2025088030
Citation:
Di Grazia, D., Pisoni, F., Gogliettino, G., Gioia, C., & Borio, D. (2025). Putting the Synthetic Global Navigation Satellite System Meta-Signal Paradigm into Practice: Application to Automotive Market Devices. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088030

2. Title: Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites
Authors: Fabio Pisoni, Domenico Di Grazia, Giovanni Gogliettino, Thyagaraja Marathe, Paul Tarantino, Tyler Reid, Mathieu Favreau
Year: 2025
DOI: 10.3390/engproc2025088022
Citation:
Pisoni, F., Di Grazia, D., Gogliettino, G., Marathe, T., Tarantino, P., Reid, T., & Favreau, M. (2025). Combined Navigation and Tracking with Applications to Low Earth Orbit Satellites. Engineering Proceedings, MDPI. https://doi.org/10.3390/engproc2025088022