Yao Ni | Engineering | Editorial Board Member

Published on by NESIN Awards

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

Published on by NESIN Awards

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

Published on by NESIN Awards

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
                          🟦Citations
       🟥Documents
     🟩h-index


View Scopus Profile
 View ORCID Profile

Featured Publications

Izhar Ahmed | Engineering | Research Excellence Award

Published on by NESIN Awards

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

Published on by NESIN Awards

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

Published on by NESIN Awards

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

Published on by NESIN Awards

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)

Hwasun Park | Engineering | Best Researcher Award

Published on by NESIN Awards

Prof. Hwasun Park | Engineering | Best Researcher Award

 An Industry-Academic Professor | Sungkyunkwan University | South Korea 

Prof. Hwasun Park is an Industry-Academic Professor at the School of Advanced Materials Science and Engineering, Sungkyunkwan University (SKKU), South Korea, where he leads cutting-edge research in semiconductor packaging and advanced materials processing. He earned his Ph.D. in Materials Science and Engineering from Sungkyunkwan University, building a strong foundation in thin-film and electronic materials that bridge academic innovation and industrial application. Prior to his current academic appointment, Prof. Park accumulated extensive professional experience at the Samsung Electro-Mechanics Central Research Institute, where he led several R&D initiatives in packaging materials and process development, and at the CUOS Center, University of Michigan, enhancing his global collaboration and research insight. His primary research interests include microbump materials and processes, embedded printed circuit boards (PCBs) for semiconductor integration, thin-film technologies for high-frequency applications, anisotropic etching mechanisms using electrostatic phenomena, and optical packaging technologies for 2.5D data-center systems. Prof. Park’s research skills encompass semiconductor process optimization, materials characterization, high-frequency electrical analysis, and integration of optical and electronic components. He has published influential work in IEEE and Scopus-indexed journals, contributing to both the academic and industrial advancement of semiconductor technology. His dedication to innovation and collaboration has earned him recognition for excellence in research and technology transfer, fostering productive ties between academia and industry. Prof. Park actively mentors students, participates in joint research programs, and holds memberships in leading professional organizations such as IEEE and materials-science societies. In conclusion, Prof. Hwasun Park exemplifies a scholar-engineer who bridges theory and practice; his pioneering work in semiconductor materials, international collaborations, and commitment to nurturing future scientists position him as a leader driving technological innovation and sustainable growth in the global semiconductor field. 5 Citations | 1 Document | 1 h-index

Profiles: Scopus | ResearchGate

Featured Publications

  • Oh, P. C., Koh, K. K., Kim, J. H., Kim, S. J., & Park, H. (2014). Life-threatening severe hyperkalemia presenting typical electrocardiographic changes—Rapid recovery following medical, temporary pacing, and hemodialysis treatments. November 2014. Citations: 5

Aimen Tanougast | Heat Transfer | Best Researcher Award

Published on by NESIN Awards

Mr. Aimen Tanougast | Heat Transfer | Best Researcher Award

PhD Candidate | Miskolc University | Hungary

Mr. Aimen Tanougast is a motivated researcher in mechanical engineering with strong expertise in fluid mechanics, thermal engineering, and computational fluid dynamics (CFD) simulations. He is currently pursuing his Ph.D. in Mechanical Engineering at the University of Miskolc, Hungary (2022–present), focusing on advanced heat transfer enhancement techniques using vortex generators and nanofluids. He previously completed his Bachelor’s degree in Mechanical Engineering in 2020 and Master’s degree in 2022 from the University of Mentouri Brothers, Constantine, Algeria, where he built a solid foundation in mechanical design, thermodynamics, and applied fluid sciences. Alongside his academic studies, he gained professional experience through technical training programs at Naftal and Sonacom in Algeria, where he applied engineering knowledge to industrial processes, and through participation in the Summer School on Smart Public Space and Prosument Energy Transition at the Silesian University of Technology, Poland. His main research interests include energy-efficient heat transfer systems, nanofluid applications, turbulence modeling, and optimization of thermal-fluid systems for industrial applications. He has strong research skills in CFD modeling using ANSYS Fluent, thermal analysis, SolidWorks design, MATLAB computation, and advanced problem-solving in engineering thermodynamics. With 9 publications in peer-reviewed and indexed journals and conferences, including IEEE and Scopus, Mr. Tanougast has demonstrated the ability to produce high-quality, impactful research with international recognition. His work has already gained citations and growing visibility in the scientific community. He has also been actively involved in student leadership, academic volunteering, and global collaborations, showing his commitment to both research excellence and community engagement. Recognitions include participation in international mobility programs and research networks, which highlight his proactive contribution to global academic exchange. In conclusion, Mr. Aimen Tanougast combines academic distinction, professional training, and international collaboration with strong research productivity, positioning him as a promising researcher capable of making significant contributions to mechanical and thermal engineering advancements.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Tanougast, A., & Hriczó, K. (2025). Comparison of turbulence models in the simulation of fluid flow in corrugated channel. Advances in Science and Technology, 165, 53–64. Cited by 3

  2. Tanougast, A., & Hriczó, K. (2025). Advancements in heat exchangers for improved engine cooling: A comprehensive literature review. Periodica Polytechnica Transportation Engineering, 53(4), 431–439. Cited by 2

  3. Tanougast, A., & Hriczó, K. (2023). Numerical study of the vortex generators effects in a corrugated channel for turbulent flow. Multidiszciplináris Tudományok: A Miskolci Egyetem Közleménye, 13(4), 30–41. Cited by 1

  4. Tanougast, A., & Hriczó, K. (2025). Enhanced heat transfer in wavy channels with vortex generators: A CFD investigation. International Journal of Thermofluids, 30, 101405.

  5. Tanougast, A., Omle, I., & Hriczó, K. (2025). Turbulent hybrid nanofluid flow in corrugated channels with vortex generators: A numerical study.

Nokulunga Xolile Mashwama | Engineering | Best Researcher Award

Published on by NESIN Awards

Prof. Nokulunga Xolile Mashwama | Engineering | Best Researcher Award

Head of Department | Walter Sisulu University | South Africa

Prof. Nokulunga Xolile Mashwama is a South African Associate Professor and registered Quantity Surveyor (SACPCMP-A426/2014 & SACQSP-IT6878) with a distinguished academic and professional trajectory in construction management, dispute resolution, and sustainable infrastructure delivery. She earned her Ph.D. in Quantity Surveying from the University of Johannesburg in 2021, following a Master’s in Construction Management (2016, Distinction) and a B-Tech in Quantity Surveying (2013) from the same institution, demonstrating a consistent record of academic excellence. Professionally, Dr. Mashwama has engaged in extensive research projects locally and internationally, including JSPS-SA Bilateral and Thuthuka Fund initiatives, contributing significantly to improving service delivery, occupational health and safety, and minimizing construction disputes in Southern Africa. Her research interests encompass construction dispute resolution, public-private partnerships, cost of poor quality, stakeholder management, and sustainable construction practices. She possesses advanced research skills in project evaluation, stakeholder analysis, alternative dispute resolution, occupational health and safety assessment, and infrastructure service delivery analysis. Dr. Mashwama has published over 32 high-quality documents in reputed international journals and conference proceedings, including Springer, IEOM, Procedia Engineering, and Scopus-indexed outlets, presenting her work in global forums across the USA, UK, Europe, and Africa. She has demonstrated leadership through mentorship, community engagement, and active participation in professional bodies such as SACQSP, SACPCMP, IEEE, and Thuthuka-funded initiatives. Her awards and honors include competitive research grants such as the African Research Funding Accelerator and Future Professor Programme, reflecting her scholarly impact and professional recognition. Through her sustained contributions to research, education, and professional practice, Dr. Mashwama is positioned to lead high-impact, internationally recognized projects in construction management, sustainable infrastructure, and stakeholder-driven research, fostering knowledge transfer and innovation in the built environment globally. Her academic influence is supported by 106 citations across 32 documents, with an h-index of 5.

Profiles: Scopus | ORCID

Featured Publications

  1. Mashwama, N. X., & Madubela, B. (2025). Harnessing technology and research innovations for sustainable educational development in Southern Africa. E-Journal of Humanities, Arts and Social Sciences, 2025, Article 647.

  2. Mashwama, N. X. (2025). Innovations in pedagogy and technology for engineering education: A systematic review. Interdisciplinary Journal of Education Research, 7(S1), Article 10.

  3. Mashwama, N. X., & Thwala, D. W. (2025). Educational institutions as catalysts for economic growth in South Africa. E-Journal of Humanities, Arts and Social Sciences, 2025, Article 643.

  4. Mashwama, N. X., Dywili, S., Phaladi, G., & Aigbavboa, C. (2023). The learning curve and benefit of artificial intelligence for the built environment. In Human Interaction & Emerging Technologies (IHIET 2023): Artificial Intelligence & Future Applications (pp. 31).

  5. Mashwama, N. X. (2022). A theoretical assessment of causes for deferred maintenance of public buildings in developing countries: The Kingdom of Eswatini. In 12th International Conference on Construction in the 21st Century (pp. 16–19).