Sarra Senouci | Mechanical Engineering | Editorial Board Member

Published on by Engineering Scientist

Mrs. Sarra Senouci | Mechanical Engineering
| Editorial Board Member

University of Electronic Science and Technology of China | Algeria

Mrs. Sarra Senouci the research work centers on advanced cryptographic systems, network security, and intelligent detection frameworks, with a strong emphasis on chaotic dynamics, pseudo-random number generation, and secure data transmission. The studies include the development of a novel pseudo-random number generator (PRNG) for fiber optic communication, leveraging nonlinear chaotic behavior to enhance cryptographic strength and improve resistance to prediction attacks. Additional contributions explore a chaotic-based cryptographically secure PRNG designed for high-performance applications requiring strong randomness and low computational overhead. In the domain of cybersecurity, the research introduces deep convolutional neural network architectures for high-precision and real-time DDoS attack detection within software-defined networking environments. This includes models optimized for both feature extraction and rapid classification to mitigate large-scale network threats. Further advancements incorporate feature engineering and ensemble learning techniques to achieve robust, scalable, and resilient DDoS detection frameworks capable of adapting to evolving attack patterns. Earlier academic work includes the design and construction of autonomous sensor networks and the implementation of chaotic systems on FPGA platforms, highlighting strong integration of hardware, communication technologies, and nonlinear system modeling across multiple layers of modern electronic and communication systems.

 Profile:  Google Scholar 

Featured Publications

Senouci, S., Madoune, S. A., Senouci, M. R., Senouci, A., & Tang, Z. (2025). A novel PRNG for fiber optic transmission. Chaos, Solitons & Fractals, 192, 116038. https://doi.org/10.1016/j.chaos.2025.116038

Madoune, S. A., Senouci, S., Dingde, J., & Senouci, A. (2024). Deep convolutional neural network-based high-precision and speed DDOS detection in SDN environments. 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 1–6. https://doi.org/10.1109/iccwamtip64812.2024.10873789

Madoune, S. A., Senouci, S., Setitra, M. A., & Dingde, J. (2024). Toward robust DDOS detection in SDN: Leveraging feature engineering and ensemble learning. 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 1–7. https://doi.org/10.1109/iccwamtip64812.2024.10873648

Jun Dai | Structural Engineering | Best Researcher Award

Published on by Engineering Scientist

Dr. Jun Dai | Structural Engineering
| Best Researcher Award

Dr. Jun Dai | Northeastern University | China

Dr. Jun Dai is a Professor and Doctoral Supervisor at Northeastern University, recognized as a rising leader in civil engineering research. A candidate of the Jiangsu Provincial Young Science and Technology Talent Support Program, he is a core member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. His expertise lies in developing advanced vibration control strategies, multi-hazard defense systems, and broadband isolation technologies that have been widely applied in major infrastructure projects. With a strong record of scientific contributions, including numerous SCI-indexed publications, patents, and leadership roles in professional organizations, he has earned a reputation for excellence in both theoretical innovation and engineering practice. Dr. Dai actively contributes to advancing intelligent construction and disaster prevention engineering.

Professional Profile 

Scopus

Suitability for the Best Researcher Award

Dr. Jun Dai exceptional research achievements and leadership in civil engineering make him a strong candidate for the Best Researcher Award. His innovative work has advanced vibration control systems, intelligent disaster prevention solutions, and multi-dimensional vibration isolation, directly benefiting infrastructure resilience and safety. He has successfully led high-impact projects funded by national programs and foundations, translating research into real-world applications such as bridges, towers, and wind tunnels. His scientific contributions include widely cited publications, patents, and the development of industry standards, showcasing his ability to bridge theory and practice. Dr. Dai’s influence extends internationally through editorial board roles, conference leadership, and peer review contributions, demonstrating his dedication to global engineering innovation and knowledge dissemination.

Education 

Dr. Jun Dai holds dual doctoral degrees in Civil Engineering, having completed joint training at Purdue University and earning his Ph.D. from Southeast University, China. His academic training combined advanced structural engineering knowledge with extensive research in vibration dynamics and disaster prevention. This diverse educational background provided him with an international perspective and strong interdisciplinary expertise. Through rigorous coursework, collaborative research, and hands-on experimentation, Dr. Dai gained mastery of structural mechanics, intelligent control systems, and advanced engineering design. His studies laid a solid foundation for his innovative contributions to infrastructure resilience and multi-hazard defense. The integration of global research experience and deep theoretical knowledge has shaped him into a forward-thinking researcher and educator with a passion for engineering innovation.

Work Experience 

Dr. Jun Dai is a leading researcher and educator with extensive experience in structural vibration control and intelligent disaster prevention. At Northeastern University, he serves as Professor, Doctoral Supervisor, and a key member of the Vibration Dynamics and Intelligent Disaster Prevention Research Institute. He has led multiple national research initiatives, collaborated with prominent engineering institutions, and contributed to the design and safety enhancement of large-scale infrastructure. Dr. Dai’s expertise extends to applied engineering, with significant contributions to bridge vibration control, wind tunnel testing systems, and transmission tower safety. His leadership in organizing academic conferences, serving on technical committees, and participating in professional societies highlights his dedication to advancing civil engineering research, mentoring future scholars, and driving technological innovation.

Awards and Honors

Dr. Jun Dai has earned numerous prestigious awards and recognitions for his groundbreaking contributions to vibration control and disaster prevention engineering. His work has been honored with national-level invention and innovation awards, reflecting its scientific and practical value. He has received top academic prizes for outstanding research achievements, including recognition for his doctoral dissertation. His innovations have also gained international acclaim, earning distinction at global exhibitions of inventions. Dr. Dai’s accomplishments demonstrate a rare combination of academic excellence, engineering innovation, and real-world impact. Beyond awards, he holds editorial board positions and contributes as a reviewer for leading journals, further underscoring his influence on the global engineering research community. These achievements showcase his leadership and commitment to advancing science.

Research Focus 

Dr. Jun Dai research centers on advancing intelligent solutions for vibration control and disaster prevention in large-scale infrastructure. His work explores ultra-low-frequency tuned damping systems, multi-dimensional vibration isolation, and active control strategies to enhance the resilience and safety of engineering structures. He integrates theoretical modeling, experimental validation, and engineering applications to address complex challenges in multi-hazard environments. His research has been successfully applied to critical projects involving bridges, towers, and wind tunnel testing systems, showcasing its practicality and societal impact. By combining intelligent design principles and cutting-edge technologies, Dr. Dai contributes to safer urban infrastructure and innovative construction practices. His vision is to create adaptive, sustainable engineering solutions that mitigate risks, improve structural performance, and protect communities worldwide.

Publication Top Notes

  • Development and performance evaluation of a novel cost-effective multifunctional fluid tunnel: from coastal atmospheric boundary layer simulation to coupled wind-wave experiments
    Year: 2025

  • Full-Scale Shaking Table Tests on a Four-Story Frame Structure With Multi-Dimensional Earthquake Isolation and Mitigation Devices
    Year: 2025 | Cited by: 1

  • Flutter behavior of functionally graded graphene origami-reinforced auxetic metamaterial composite laminated plates in supersonic flow
    Year: 2025 | Cited by: 12

  • Hybrid simulation testing and energy framework for performance-based assessment of structures under earthquake-fire sequential hazards
    Year: 2025 | Cited by: 7

Conclusion

Dr. Jun Dai embodies the qualities of a Best Researcher Award recipient through his exceptional academic contributions, leadership, and engineering innovations. His pioneering research in vibration control and disaster prevention has made a significant impact on both theory and practice, influencing large-scale infrastructure design and safety standards. His commitment to mentoring students, participating in global scientific discourse, and developing practical solutions demonstrates a rare blend of scholarship and applied expertise. By continuing to expand his international collaborations and interdisciplinary initiatives, Dr. Dai is poised to further advance his field and inspire the next generation of researchers.

Yang Li | Electrical Engineering | Best Researcher Award

Published on by Engineering Scientist

Assoc. Prof. Dr. Yang Li | Electrical Engineering
| Best Researcher Award

Director at Forensic Science Institute China People’s Police University, China.

Dr. Li Yang is an Associate Professor at the China People’s Police University, specializing in electrical fire investigation and forensic evidence analysis. With a Ph.D. in Safety Science and Engineering from Xi’an University of Science and Technology and extensive research on arc faults, short-circuit initiation, and pyrolysis gas analysis, he has become a leading voice in electrical fire forensics. He serves on the Committee on Electrical Fire Safety of the China Fire Association and has led multiple national and provincial projects. Recognized as a Distinguished Teacher of Hebei Province in 2022, his contributions have significantly enhanced fire evidence identification technologies. He has also played a pivotal role in national training programs and technical innovations for fire investigators.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Dr. Li Yang is a strong candidate for the Best Researcher Award due to his pioneering work in electrical fire investigation. His research advances the forensic science field through the development of intelligent identification technologies and fault simulation devices. He has been instrumental in leading key national and provincial projects, authoring technical patents, and contributing to cutting-edge publications. His academic leadership, combined with practical innovation, addresses critical safety concerns in fire investigation. Recognition by both academic institutions and the Ministry of Public Security underscores his impact. His ability to integrate science, engineering, and real-world application makes him not only a productive researcher but a transformative force in safety science.

🎓 Education :

Li Yang holds a Doctor of Philosophy in Safety Science and Engineering from Xi’an University of Science and Technology (2018–2022). Prior to that, he earned a Master of Science in Materials Science (2008–2011) and a Bachelor of Science in Fire Investigation (2004–2008), both from the China People’s Police University. His interdisciplinary educational background has equipped him with a solid foundation in forensic materials, fire safety engineering, and investigative techniques. This strong academic progression supports his current research and teaching in the field of electrical fire forensics and contributes to the training of future safety professionals in law enforcement and public safety sectors.

🏢 Work Experience :

Dr. Li Yang has served in various academic positions at the China People’s Police University since 2014. Currently an Associate Professor in the Investigation College (since 2020), he previously held positions in the Department of Fire Engineering. Over the years, he has been deeply involved in curriculum development, investigator training, and research supervision. His expertise has also been sought by national bodies such as the Ministry of Public Security, where he serves as a fire-related case investigation expert. He has combined teaching excellence with project leadership across government-funded and institutional research. His dual role as educator and researcher enables him to bridge academic knowledge with field application effectively.

🏅 Awards and Honors :

Dr. Li Yang has received numerous accolades for his contributions. Notably, he was honored as a Distinguished Teacher of Hebei Province in 2022 and selected as a Fire Investigation Expert by the Criminal Investigation Bureau of the Ministry of Public Security in 2020. He is a Committee Member on Electrical Fire Safety with the China Fire Association. His research earned the Third Prize from the Ministry of Public Security Science and Technology Award in 2019. These awards reflect both his academic excellence and societal impact. Through these honors, Dr. Yang has been recognized for his research leadership, technological innovation, and dedication to advancing fire safety practices across China.

🔬 Research Focus :

Dr. Li Yang’s research centers on electrical fire forensics, particularly the mechanisms behind short-circuit faults, arc-related ignition, and trace identification. He applies cutting-edge tools such as STA-FTIR-GC/MS to analyze pyrolysis gases from common materials in electrical systems, aiming to establish the forensic links between device failure and fire cause. His studies also examine the behavior of molten droplets, overcurrent wire degradation, and fault inversion modeling under variable environmental conditions. He leads national R&D programs and technical research projects focusing on intelligent identification technologies and early-warning mechanisms. His goal is to enhance fire evidence analysis reliability and improve training and tools for first responders and forensic investigators in China.

📊 Publication Top Notes:

🔥 Lin Q‑W, Li X, Li Y, Deng J, Man P‑R, Jia Y‑Z. Comparative investigation on thermo‑oxidative degradation and fire characteristics of flame‑retardant and non‑flame‑retardant polyvinyl chloride wires. Thermal Science and Engineering Progress. 2025;57:103210. • 📄 Cited X times

⚡ Lin Q‑W, Li Y, Man P‑R, Jin Y, Lyu H, Wang H, Zhao Y, Su W, Deng J. Effects of applied voltages on the occurrence features of short circuits in building cables exposed to constant radiation heat. Journal of Building Engineering. 2024;98:111038. • 📄 Cited Y times

🧪 Lin Q‑W, Li Y, Deng J, F‑F He, P‑R Man. Thermo‑oxidative degradation behavior of poly(vinyl chloride) insulation for new and overloaded wires via TG‑FTIR. Journal of Applied Polymer Science. 2024;141(39):e55994. • 📄 Cited Z times

🧯 Li Z, Lin Q‑W, Li Y, et al. Effect of the current on the fire characteristics of overloaded polyvinyl chloride copper wires. Polymers. 2022;14(21):4766.* • 📄 Cited A times

🔥 Lin Q‑W, Li Y, Deng J. Formation mechanism and microstructural analysis of blistering marks on overcurrent copper wires. Fire Safety Journal. 2024;150(Pt A):104268. • 📄 Cited B times

⚡ Li Y, Sun Y, Gao Y, et al. Analysis of overload‑induced arc formation and bead characteristics in a residential electrical cable. Fire Safety Journal. 2022;131:103626. • 📄 Cited C times

Zhenyun Tang |Structural engineering |Best Research Article Award

Published on by Engineering Scientist

Prof. Dr. Zhenyun Tang | Structuralengineering
|Best Research Article Award

 

Professor at BEIJING UNIVERSITY OF TECHNOLOGY ,China.

 

Professor Tang Zhenyun is a distinguished expert in earthquake engineering and disaster mitigation at Beijing University of Technology. As a doctoral supervisor, he contributes significantly to experimental seismic technology and structural vibration control. He serves on multiple national youth editorial and technical committees focused on disaster resilience. His innovative research spans real-time hybrid simulation, base isolation systems, and tuned liquid dampers. Tang has authored high-impact papers in top journals like International Journal of Structural Stability and Dynamics and Soil Dynamics and Earthquake Engineering. He has earned prestigious awards, including the Silver Medal at the Geneva International Exhibition of Inventions and the First Prize from the China Highway and Transportation Society. His scholarly excellence makes him a prime candidate for the Best Research Article Award.



🌍 Professional Profile:


Scopus


🏆 Suitability for the Best Research Article Award




 














































Professor Tang Zhenyun is an internationally recognized scholar in earthquake engineering, whose research integrates experimental innovation and practical seismic mitigation strategies. His recent articles in high-impact journals such as Soil Dynamics and Earthquake Engineering and International Journal of Structural Stability and Dynamics reflect cutting-edge advancements in vibration control, base isolation, and real-time hybrid simulation. His award-winning work—recognized by the China Inspection and Testing Society, Geneva International Exhibition of Inventions, and others—demonstrates both theoretical depth and practical impact. As a doctoral supervisor and active member of key professional societies, Professor Tang’s research not only advances academic knowledge but also contributes to safer infrastructure. His scientific rigor and innovation make him highly suitable for the Best Research Article Award.














































🎓 Education 


Professor Tang Zhenyun holds a Ph.D. in Engineering, specializing in structural dynamics and earthquake resilience. His doctoral research laid a solid foundation in advanced experimental methods, real-time hybrid simulation, and vibration control technologies for civil infrastructure. He has received comprehensive academic training from leading Chinese institutions, culminating in his doctoral degree, which has empowered him to contribute meaningfully to seismic safety and geotechnical innovation. Throughout his education, Professor Tang demonstrated exceptional academic merit and research capability, which propelled him into a prominent academic and professional trajectory. His educational background enables him to mentor graduate and doctoral students while advancing theoretical and applied research in structural and earthquake engineering.


🏢 Work Experience 


With extensive academic and research experience, Professor Tang Zhenyun serves as a full professor and doctoral supervisor at Beijing University of Technology. He has led and collaborated on national research projects involving seismic mitigation, vibration control, and soil-structure interaction. Tang has developed innovative real-time hybrid simulation techniques and applied them to civil engineering challenges, producing highly cited publications. His engineering expertise is recognized nationally and internationally, and he has played key roles on editorial boards and professional committees in earthquake prevention and disaster resilience. He also bridges academia and industry through applied research, contributing to testing standards and resilient infrastructure development. His multifaceted experience underscores his suitability for awards recognizing impactful and applied research in structural safety.


🏅 Awards and Honors 


Professor Tang Zhenyun has received numerous national and international honors recognizing his contributions to seismic engineering. These include the First Prize from the China Inspection and Testing Society (1/15) and the Second Prize from the Fujian Science and Technology Awards (2/7). He won the Silver Medal at the Geneva International Exhibition of Inventions (1/5) for his innovative engineering solutions. As the sole recipient (1/1) of the Personal Prize from the China Industry-University-Research Institute Collaboration Association, Tang demonstrated exceptional leadership in applied research. He also contributed to the First Prize from the China Highway and Transportation Society (11/15). These accolades collectively reflect his groundbreaking research, interdisciplinary collaborations, and impactful innovations in earthquake resilience and structural safety.


🔬 Research Focus 
































































Professor Tang Zhenyun’s research is centered on earthquake engineering, with specific expertise in experimental technology, base isolation, seismic mitigation, and vibration control. He specializes in real-time hybrid simulation, where he develops and applies novel methods to model complex soil-structure systems under seismic loads. His studies have advanced the use of GPU computing for structural simulations and proposed new frequency-domain analysis techniques for systems employing tuned liquid dampers. Tang’s work on the stability of hybrid testing systems and parameter identification in dynamic models has influenced the development of resilient infrastructure. His research addresses both theoretical modeling and practical application, making significant contributions to safety-critical structures in earthquake-prone regions and aligning with national resilience strategies.




























































































📊 Publication Top Notes:


    

  1. 

    Yang, B., Li, Z., Lv, J., Tang, Z., & Wang, L. (2025). Experimental study on load-bearing capacity of T-shaped semi-rigid connected double skin composite shear walls. KSCE Journal of Civil Engineering.
    Citations: 1
    

    2. 

  2. 

    Shang, Q., Tang, Z., & Wang, T. (2024). Component-level seismic fragility database of suspended piping systems in buildings. Earthquake Engineering and Resilience.
    Citations: 0
    

    3. 

  3. 

    Li, X., Tang, Z., & Du, X.L. (2024). Identification of stable parameters for discrete-time rational approximation of MDOF frequency response functions in semi-infinite media. Gongcheng Lixue/Engineering Mechanics.
    Citations: 1
    

    4. 

  4. 

    Liu, H., Tang, Z., & Enokida, R. (2024). Stability prediction method of time-varying real-time hybrid testing system on vehicle-bridge coupled system. Mechanical Systems and Signal Processing.
    Citations: 1
    

    5. 

  5. 

    Tang, Z., Li, J., Wang, M., Yu, C., & Li, Z. (2024). Investigation on bearing resistance of thin-walled circular steel tube subjected to eccentric loading. Advances in Structural Engineering.
    Citations: 0
    

    6. 

  6. 

    Yi, S., Su, T., & Tang, Z. (2024). Robust adaptive Kalman filter for structural performance assessment. International Journal of Robust and Nonlinear Control.
    Citations: 4
    

    7. 

  7. 

    Wu, Y., Dong, X., Liao, W., Zheng, G., & Shang, H. (2024). Field dynamic characteristics testing of foundation isolation structures under horizontal initial displacement. Zhendong Gongcheng Xuebao/Journal of Vibration Engineering.
    Citations: 1
    

    8. 

  8. 

    Liu, H., & Tang, Z. (2024). Stability prediction method for real-time hybrid test system based on the measured dynamics of physical test system. Soil Dynamics and Earthquake Engineering.
    Citations: 0
    

    9. 

  9. 

    Tang, Z., & Li, X. (2023). Stable parameters identification for rational approximation of single degree of freedom frequency response function of semi-infinite medium. International Journal for Numerical Methods in Engineering.
    Citations: 0
    

    10.