Wang xingcheng | Fiber Optics | Best Researcher Award

Published on by Academic Achievements

Mr. Wang xingcheng | Fiber Optics | Best Researcher Award

Mr. Wang xingcheng | Fiber Optics | Student and Member at Xihua University | China

Mr. Wang Xingcheng is an accomplished researcher in the field of electronic information and signal processing, recognized for his innovative contributions in FPGA system design, radar signal processing, and intelligent video communication platforms. He has established a strong academic and technical foundation through continuous engagement in competitive research projects, high-level innovation contests, and collaborative engineering initiatives. With a clear vision to merge theoretical excellence with practical engineering applications, he has demonstrated exceptional problem-solving abilities and a drive for technological advancement. His professional journey reflects a consistent pursuit of academic excellence, practical application of research outcomes, and meaningful contributions to both the scientific and industrial communities.

Academic Profile

ORCID

Education

Mr. Wang Xingcheng pursued his academic studies with distinction, beginning with a degree in Electrical Engineering and Automation at a well-regarded institution where he consistently ranked among the top-performing students. He later advanced his qualifications with a Master’s program in Electronic, focusing on areas such as digital systems, high-performance computing, and intelligent signal processing. His education has been shaped not only by classroom learning but also by intensive participation in engineering projects and research competitions, where he has been able to apply theoretical principles to solve real-world challenges. The combination of strong coursework, competitive training, and practical development has equipped him with deep expertise in modern technologies such as FPGA architectures, high-speed communication protocols, and distributed computing systems.

Experience

Mr. Wang Xingcheng  has gained significant experience in advanced electronic system development through research projects and engineering applications. His work has included the design of ultra-wideband radar signal processing systems, development of real-time multi-channel video platforms, and FPGA-based solutions for bio-inspired communication models. He has been directly responsible for protocol implementation, high-speed data transmission, and system-level optimization, demonstrating technical versatility and leadership in executing complex tasks. Additionally, he has collaborated with academic teams and industrial training programs to refine his expertise in PCIe systems, DDR memory management, JESD204B synchronization, and multi-mode video output systems. These experiences have not only enhanced his technical competence but also his ability to integrate theoretical insights with practical solutions in high-impact technological fields.

Research Interest

The research interests of Mr. Wang Xingcheng lie in the domains of signal processing, FPGA-based hardware acceleration, high-speed communication systems, and intelligent image processing platforms. He is particularly focused on bridging the gap between algorithmic models and hardware-level implementation, ensuring high efficiency, low latency, and scalable solutions in real-time systems. His current investigations include radar-based signal analysis, distributed acoustic sensing, high-bandwidth communication optimization, and intelligent image recognition. His research direction reflects a balance between foundational inquiry and practical relevance, contributing toward advancements in defense technology, industrial automation, intelligent surveillance, and future communication systems.

Award

Mr. Wang Xingcheng has been recognized with multiple honors in national and international competitions for his technical skill and innovative problem-solving. He has earned distinctions in software engineering challenges, electronic design contests, and mathematical modeling competitions, where his work consistently achieved top-tier performance against strong academic peers. These recognitions highlight not only his ability to engage with highly complex problems but also his commitment to developing practical, efficient, and scalable engineering solutions. Such achievements reflect his standing as a young scholar with significant potential to make lasting contributions to the academic and professional fields of electronic information and signal processing.

Selected Publication

  • “Research on Power Cable Intrusion Identification Using a GRT-Transformer-Based Distributed Acoustic Sensing (DAS) System” – Published 2024, 18 Citations.

  • “Parallel Optimization of FFT Algorithm Based on FPGA Architecture” – Published 2023, 22 Citations.

  • “Real-Time Multi-Channel Video Processing and Adaptive Output System Based on FPGA” – Published 2024, 14 Citations.

Conclusion

In conclusion, Mr. Wang Xingcheng has established himself as a promising academic and researcher whose contributions to electronic information engineering and signal processing demonstrate both depth and innovation. His educational journey showcases consistent excellence, his experiences reveal strong applied technical knowledge, and his awards reflect recognition at the highest levels of competition. His research interests align with the pressing technological needs of real-time processing and intelligent communication systems, while his publications provide a growing contribution to the academic community. With his strong foundation, dedication, and vision for advancing future technologies, Mr. Wang Xingcheng (王兴成) stands out as a deserving nominee for the International Academic Achievements and Awards, where his potential for leadership, research impact, and societal contribution is both evident and inspiring.

Sarra SENOUCI | Fiber Optics | Best Researcher Award- 7750

Published on by Academic Achievements

Mrs. Sarra SENOUCI | Fiber Optics | Best Researcher Award

Mrs. Sarra SENOUCI | Fiber Optics – PhD student at University of Electronic Science and Technology of China, China

Sarra Senouci is an emerging researcher with a robust academic and technical background in electronics, instrumentation, and secure communication systems. Currently pursuing her PhD in Mechanical and Electrical Engineering at a leading research university in China, she has already distinguished herself through her contributions to cutting-edge topics such as chaotic systems, secure random number generation, and advanced cybersecurity applications. Her multilingual proficiency, combined with her international academic experience and interdisciplinary skillset, has made her a rising figure in global research communities.

Profile Verified

ORCID | Google Scholar | Scopus

Education

Sarra’s academic foundation began in Algeria, where she completed a Bachelor’s degree in Electronics with a thesis focusing on the study and FPGA implementation of chaotic systems. She followed this with a Master’s degree in Instrumentation, during which she designed a network of connected autonomous sensors. Her academic path reflects a continuous evolution into complex systems engineering and information security. She is now completing her PhD in China, where she explores intersections between mechanical systems and advanced digital technologies, particularly in the field of secure communications and signal processing.

Experience

In parallel with her academic studies, Sarra has developed a diverse professional portfolio. In Algeria, she served as an exam supervisor for public service competitions, ensuring administrative precision and procedural compliance. Since moving to China, she has held multiple roles including School Assistant, Event MC, Academic Affairs Secretary, and Country Representative. These experiences have enhanced her organizational leadership and communication capabilities, allowing her to serve effectively in both academic and administrative settings. Her internships include technical training at Sonatrach’s refinery, further reinforcing her applied engineering competence.

Research Interests

Sarra’s core research interests lie in chaotic systems, cryptographically secure pseudo-random number generation (PRNG), network security, and signal transmission in fiber optic environments. She is also deeply engaged with deep learning models for cyberattack detection, particularly Distributed Denial-of-Service (DDoS) attacks in Software Defined Networking (SDN) contexts. Her approach is both theoretical and experimental, with a focus on translating mathematical principles of chaos into practical tools for cybersecurity and secure data transmission.

Awards

Sarra’s research excellence has been recognized through multiple awards in China. In both 2024 and 2025, she received the Academic Achievement Award and Excellent Performance Award from her university, attesting to her high academic standing and dedication. She was also selected for a competitive visiting program at Beijing University of Posts and Telecommunications and has received certificates of participation and presentation at prominent international conferences, affirming her active engagement in the global research landscape.

Publications 📚

  • 📄 Senouci, S., et al. (2025). “A novel PRNG for fiber optic transmission.” Chaos, Solitons & Fractals, 192, 116038. [Cited by 14 articles]
  • 📄 Senouci, S., et al. (2024). “A New Chaotic Based Cryptographically Secure Pseudo Random Number Generator.” 21st ICCWAMTIP, 1–5. [Cited by 9 articles]
  • 📄 Madoune, S. A., Senouci, S., et al. (2024). “High-Precision and Speed DDoS Detection in SDN Environments.” 21st ICCWAMTIP, 1–6. [Cited by 7 articles]
  • 📄 Madoune, S. A., Senouci, S., et al. (2024). “Toward Robust DDoS Detection in SDN.” 21st ICCWAMTIP, 1–7. [Cited by 6 articles]
  • 📄 Senouci, S., et al. (2021). “Design and Construction of a Network of Connected Autonomous Sensors.” Master Thesis, USTHB.
  • 📄 Senouci, S. (2017). “Studying Chaotic Systems and Implementation on FPGA.” Bachelor Thesis, USTHB.
  • 📄 Senouci, S., et al. (2024). “Cybersecurity Implications of Chaotic Algorithms in Communication Systems.” [Manuscript in submission]

Conclusion

Sarra Senouci exemplifies the qualities of an outstanding early-career researcher: technical rigor, innovative thinking, international collaboration, and a commitment to societal impact through secure technological advancement. Her academic journey has been marked by consistent achievement, cross-disciplinary research, and a strong global orientation. Given her scholarly output, demonstrated leadership, and potential for future impact, she is a highly suitable candidate for the Best Researcher Award. Her work not only advances the frontiers of knowledge but also offers practical solutions to real-world challenges in secure communication and network resilience.