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

Wei Xu | Mechanical Engineering | Best Researcher Award

Published on by Engineering Scientist

Dr. Wei Xu | Mechanical Engineering
| Best Researcher Award

Dr. Wei Xu | China North Artificial Intelligence & Innovation Research Institute | China

Dr. Wei Xu is a Research Professor at the China North Artificial Intelligence & Innovation Research Institute, specializing in legged robotics and bio-inspired systems. With a Ph.D. in Mechanical Electronics Engineering, he has established himself as a leading expert in advanced robotic design and control. His research focuses on developing high-mobility robotic platforms that combine innovative mechanical systems with sophisticated control algorithms, enabling efficient navigation in complex and unstructured environments. Xu Wei has significantly contributed to advancing robotics through pioneering work on gait planning, system integration, and intelligent locomotion. His extensive publications, patents, and leadership in collaborative projects highlight his influence in shaping robotics innovation, making him a strong candidate for the Best Researcher Award.

Professional Profile 

Scopus

Suitability for the Best Researcher Award

Dr. Wei Xu demonstrates exceptional suitability for the Best Researcher Award through his innovative contributions to legged robotics, bio-inspired systems, and intelligent locomotion control. His work bridges theoretical advances with practical applications, enabling robotic systems to navigate challenging environments with precision and reliability. Xu Wei’s leadership in national-level research initiatives, prolific publication record, and extensive intellectual property portfolio reflect his scientific excellence and ability to drive innovation. His active collaboration with prestigious institutions further underscores his status as a respected thought leader in robotics. He embodies the qualities sought in a Best Researcher Award recipient: innovation, impact, leadership, and a vision for advancing technology to solve real-world challenges.

Education 

Dr. Wei Xu holds a Ph.D. in Mechanical Electronics Engineering, with a strong academic foundation in robotics, automation, and control systems. His education emphasized a deep understanding of mechatronic system design, advanced control strategies, and bio-inspired engineering principles, laying the groundwork for his pioneering contributions to robotics. Throughout his studies, he developed expertise in dynamic locomotion, system modeling, and the integration of intelligent algorithms for robotic platforms. His academic training combined theoretical knowledge with extensive practical research, equipping him to tackle complex engineering challenges. This rigorous background has enabled him to excel as a research leader, focusing on innovative robotic systems that bridge cutting-edge mechanical design and artificial intelligence-driven control, shaping the future of intelligent machines and autonomous mobility solutions.

Work Experience 

Dr. Wei Xu has extensive experience in robotics research, leading high-level projects and contributing to groundbreaking advancements in bio-inspired robotic systems. As a Research Professor, he has successfully guided research teams, coordinated interdisciplinary collaborations, and overseen the development of innovative robotic technologies. His work emphasizes dynamic locomotion, adaptive control, and advanced system integration, contributing to practical applications in exploration, logistics, and rescue operations. Xu Wei has played a central role in major research programs, driving innovation through project leadership and strategic technical expertise. His experience extends to organizing international conferences, fostering knowledge exchange, and promoting collaboration among leading institutions. His contributions to robotics research and development demonstrate a rare combination of academic excellence, technical leadership, and visionary problem-solving.

Awards and Honors

Dr. Wei Xu academic excellence and innovative contributions have been recognized through leadership roles, patents, and impactful publications. He has been entrusted with key responsibilities in high-level research programs, reflecting his expertise and reputation in robotics research. His role as Workshop Session Chair at an esteemed international robotics conference highlights his influence in the field and ability to advance scholarly discourse. Xu Wei’s patented innovations and published works demonstrate sustained excellence and creativity, earning him recognition among peers. His involvement in leading interdisciplinary collaborations with top institutions underscores his status as a trusted expert in robotics innovation. These achievements collectively illustrate his leadership, dedication, and outstanding research contributions, making him a distinguished figure deserving of professional accolades.

Research Focus 

Dr. Wei Xu research centers on legged robotics, bio-inspired locomotion, and intelligent control systems. He explores innovative mechanical designs combined with advanced nonlinear control strategies to achieve robust robotic mobility in unstructured and challenging terrains. His work emphasizes adaptive gait planning, energy-efficient movement, and integrated systems that enhance autonomy and versatility in robotic platforms. Xu Wei is dedicated to bridging theoretical research with real-world application, focusing on developing high-performance robots capable of exploration, disaster response, and autonomous navigation. His research integrates engineering principles, artificial intelligence, and biomimicry, pushing the boundaries of mobility and system intelligence. This interdisciplinary approach has made him a leader in advancing robotics innovation, influencing both academic research and practical technology deployment.

Publication Top Notes

  • Wheeled-legged robots for multi-terrain locomotion in plateau environments
    Year: 2025

  • Optimization of the Four-Link Transmission Mechanism of the Knee Joint of a Quadruped Robot Based on the Strut Structure
    Year: 2025

Conclusion

Xu Wei is a visionary researcher whose pioneering work in legged robotics and bio-inspired locomotion demonstrates scientific depth and practical impact. His leadership in national projects, numerous patents, and strong academic track record make him highly deserving of the Best Researcher Award. With focused efforts on increasing international visibility and strengthening industry collaborations, he has the potential to become a globally renowned authority in robotics and intelligent systems. His exceptional research contributions, innovative solutions, and dedication to advancing the field firmly position him as an outstanding candidate for this recognition.

Huakun Bi | Electrical Engineering | Best Researcher Award

Published on by Engineering Scientist

Dr. Huakun Bi| Electrical Engineering
|Best Researcher Award

Lecturer at School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, China.

 

Dr. Huakun Bi, a Lecturer at the School of Electrical and Automation Engineering, Shandong University of Science and Technology, is a prolific researcher in power electronics. He earned his Ph.D. from Tianjin University in 2020 and has since demonstrated significant academic and industrial contributions. With 17 research papers—12 SCI and 15 EI indexed—and multiple prestigious research projects, he has become a leading expert in DC-DC converters, electric vehicles, and DC microgrids. Dr. Bi’s innovative designs have enhanced voltage regulation and energy efficiency in electric vehicle systems. His high citation count, active role as a journal reviewer, and leadership in government- and industry-funded projects reflect outstanding research impact and make him an excellent candidate for the Best Researcher Award.



🌍 Professional Profile:


Scopus


Orcid


🏆 Suitability for the Best Researcher Award


 






































Dr. Shahrzad Falahat exemplifies excellence in applied AI research, making her a highly suitable candidate for the Best Researcher Award. With a Ph.D. in Computer Vision and over five years of impactful industrial experience, she has led innovative projects that address critical real-world challenges. Her development of AI-powered fault detection software for power transmission lines reduced outages by 70%, while her automated cartography system cut map production time by 80%. She combines deep technical expertise in Python, PyTorch, TensorFlow, and embedded AI with strong project management and cross-sector collaboration. Her work integrates research and practice, resulting in scalable, intelligent solutions with tangible societal benefits, positioning her as a leader in the field of AI and computer vision.






































🎓 Education 


Dr. Huakun Bi earned his Ph.D. in Electrical Engineering from Tianjin University, Tianjin, China, in 2020, where he conducted advanced research in power conversion technologies and electric transportation systems. His doctoral work focused on the design and optimization of DC-DC converters, especially for fuel cell and electric vehicle applications. His academic foundation includes rigorous training in circuit theory, control systems, and energy systems. During his doctoral studies, he led one independent innovation project and contributed to several national-level research initiatives. His education equipped him with a strong theoretical and practical understanding of modern electrical systems, laying the groundwork for his impactful contributions as a researcher and lecturer at the Shandong University of Science and Technology.


🏢 Work Experience 


Dr. Huakun Bi currently serves as a Lecturer at the School of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao. Since earning his Ph.D. in 2020, he has taken on leadership roles in academic and industrial research, including projects funded by the Shandong Natural Science Foundation, State Grid Corporation of China, and Huaneng Group. He has contributed to three additional school-enterprise cooperation projects. Dr. Bi also acts as a dedicated reviewer for five international journals in electrical engineering. His dual involvement in academia and applied industrial projects demonstrates a versatile and impactful career. His research work is not only academically significant but also practically relevant, bridging the gap between theoretical advancements and real-world implementation.


🏅 Awards and Honors 


Dr. Huakun Bi’s research excellence is reflected in the high citation of his publications, notably in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Transactions on Vehicular Technology. His 2019 publication has been cited 77 times, showcasing his work’s global impact. He has received recognition for his leadership in innovation projects at Tianjin University and has earned competitive funding from the Shandong Provincial Natural Science Foundation. Dr. Bi’s sustained contribution to national and industry-funded projects highlights the practical value of his research. His selection as a peer reviewer for multiple international journals further underscores his expertise and reputation in the field of power electronics and DC microgrids. These honors position him strongly for research excellence awards.


🔬 Research Focus 
































































Dr. Huakun Bi’s research primarily targets high-performance DC-DC converters, energy-efficient electric vehicles, and stable DC microgrid systems. His work addresses core challenges in power electronics, including input current ripple reduction, wide voltage-gain range, and voltage stress mitigation. By introducing advanced converter topologies such as capacitor-clamped and dual-mode negative output converters, he enhances performance for fuel cell and EV applications. Dr. Bi has also contributed significantly to government- and industry-funded projects, applying theoretical innovations to practical systems. His papers are frequently cited in top journals, and his designs serve critical roles in electric transportation and energy systems. Through pioneering control methods and hardware design strategies, Dr. Bi is driving forward the next generation of clean, efficient energy solutions.




























































































📊 Publication Top Notes:


    

  1. 

    Huakun Bi, Zonglei Mou, Yu Chen
    
“Common Grounded Wide Voltage-Gain Range DC–DC Converter With Zero Input Current Ripple and Reduced Voltage Stresses for Fuel Cell Vehicles”
    
Journal: IEEE Transactions on Industrial Electronics
    
Year: 2023
    
DOI: 10.1109/TIE.2022.3172767
    
Citations: 23
    

    2. 



    

  1. 

    Huakun Bi, Bo Li, Ping Wang, Zhishuang Wang, Xiaochen Ma
    
“A New Coupled-Inductor-Based High-Gain Interleaved DC-DC Converter With Sustained Soft Switching”
    
Journal: IEEE Transactions on Vehicular Technology
    
Year: 2021
    
DOI: 10.1109/TVT.2021.3083317
    
Citations: Not specified
    

    2. 



    

  1. 

    Huakun Bi, Cong Jia
    
“Common Grounded Wide Voltage‐Gain Range DC–DC Converter for Fuel Cell Vehicles”
    
Journal: IET Power Electronics
    
Year: 2019
    
DOI: 10.1049/iet-pel.2018.6234
    
Citations: 16
    

    2. 



    

  1. 

    Guidan Li, Zhe Yang, Bin Li, Huakun Bi
    
“Power Allocation Smoothing Strategy for Hybrid Energy Storage System Based on Markov Decision Process”
    
Journal: Applied Energy
    
Year: 2019
    
DOI: 10.1016/j.apenergy.2019.03.001
    
Citations: Not specified
    

    2. 



    

  1. 

    Huakun Bi, Ping Wang, Yu Che
    
“A Capacitor Clamped H-Type Boost DC–DC Converter With Wide Voltage-Gain Range for Fuel Cell Vehicles”
    
Journal: IEEE Transactions on Vehicular Technology
    
Year: 2019
    
DOI: 10.1109/TVT.2018.2884890
    
Citations: 77
    

    2. 


	


	

	






	
	

		


Mehmet Senturk |Structural Engineering | Best Researcher Award
			

				Published on  by Engineering Scientist			

		
	


	

		
 Dr. Mehmet Senturk | Structural Engineering

| Best Researcher Award


 


Tutor in Engineering at Coventry University, United Kingdom .


Dr. Mehmet Senturk is a distinguished engineering tutor at Coventry University, with a PhD in Structural Engineering. His work integrates seismic design, finite element analysis, and sustainable construction, bridging academic innovation with industrial application. With over ten years of global academic and consultancy experience, Dr. Senturk has led and collaborated on funded research projects, produced high-impact publications, and holds several national patents. His expertise spans structural health monitoring, sensor technologies, image processing, and additive manufacturing. His interdisciplinary approach enhances structural resilience and digital engineering. With 140 citations and an h-index of 6, Dr. Senturk’s commitment to cutting-edge innovation and international collaboration makes him an ideal candidate for the Best Researcher Award.


🌍 Professional Profile:


Orcid 


Scopus


Google scholar


🏆 Suitability for the Best Researcher Award




















Dr. Mehmet Senturk exemplifies research excellence through his impactful contributions to structural and earthquake engineering. With a PhD in Structural Engineering and over a decade of academic and industry experience, he has led pioneering work in seismic design, sustainable structures, and smart monitoring technologies. His three national patents, 140+ Google Scholar citations, and extensive publication record in top-tier journals showcase his innovative approach and commitment to advancing engineering science. Dr. Senturk’s interdisciplinary skills—spanning robotics, image processing, and additive manufacturing—have fueled international collaborations and transformative research projects. His ability to bridge theory with real-world applications makes him a leader in engineering innovation and a highly deserving candidate for the Best Researcher Award.




















🎓 Education 


Dr. Mehmet Senturk’s academic journey reflects a strong foundation in civil and structural engineering. He holds a PhD in Structural Engineering, where his research focused on advanced modeling and resilience of structural systems under seismic and thermal loads. His MSc in Earthquake Engineering provided expertise in seismic risk mitigation, retrofitting, and dynamic analysis. He began his academic pursuit with a BSc in Civil Engineering, establishing core competencies in materials science, construction practices, and geotechnical fundamentals. This progression has allowed Dr. Senturk to integrate theory with real-world applications, culminating in a comprehensive educational background ideal for interdisciplinary research and innovation in structural and sustainable engineering.


🏢 Work Experience 


Dr. Mehmet Senturk has over a decade of combined academic and industrial experience. He currently serves as a Tutor in Engineering at Coventry University, where he mentors future engineers and contributes to pioneering research. His career includes contributions to over 20 industry projects, with a focus on structural diagnostics, seismic assessment, and smart infrastructure systems. Dr. Senturk has collaborated with institutions such as the University of Sheffield, Istanbul Technical University, and Istanbul Rumeli University. His cross-functional work includes the design and testing of cold-formed steel, bolted precast systems, and high-temperature-resistant components. His experience spans robotics, sensor integration, and image processing, positioning him at the intersection of civil, digital, and structural engineering.


🏅 Awards and Honors 


Dr. Mehmet Senturk’s research achievements have earned national recognition through multiple Turkish patents, reflecting his contributions to innovative structural systems and testing technologies. His patented inventions include a two-piece high-temperature test furnace and advanced connection systems for reinforced concrete. He has been a prolific reviewer for leading journals such as Engineering Structures and Structures (Elsevier), completing over 30 peer-reviews. His role in collaborative projects with renowned academics from institutions like the University of Sheffield and Istanbul Technical University highlights his influence in global research. With 140 Google Scholar citations and an h-index of 6, Dr. Senturk’s consistent excellence in research, collaboration, and innovation underlines his strong suitability for awards recognizing outstanding research contributions.


🔬 Research Focus 
































































Dr. Mehmet Senturk’s research focuses on enhancing structural resilience through the integration of traditional civil engineering with advanced digital tools. His core areas include seismic performance of structures, finite element modeling, and sustainable construction. He investigates structural systems under complex load conditions—thermal, seismic, and axial—using both experimental and numerical methods. His research incorporates sensor technologies, structural health monitoring, and robotics platforms like Arduino and Raspberry Pi for real-time diagnostics. He is also active in additive manufacturing and digital prototyping of test systems. Dr. Senturk’s work supports the development of smarter, safer infrastructure through interdisciplinary innovation, evidenced by his patents, publications in top-tier journals, and ongoing collaborations across Europe and Turkey.




























































































📊 Publication Top Notes:


    

  1. 

    Senturk, M., Ilki, A., & Hajirasouliha, I. (2025).
    Replaceable monolithic-like beam-to-beam precast connection for RC frames: Concept development and design procedure.
    Structures.
    https://doi.org/10.1016/j.istruc.2025.108875
    

    2. 

  2. 

    Öztürk, F., Mojtabaei, S. M., Senturk, M., Pul, S., & Hajirasouliha, I. (2022).
    Buckling behaviour of cold-formed steel sigma and lipped channel beam–column members.
    Thin-Walled Structures, 173, 108963.
    https://doi.org/10.1016/j.tws.2022.108963
    

    3. 

  3. 

    Pul, S., Senturk, M., Ilki, A., & Hajirasouliha, I. (2021).
    Experimental and numerical investigation of a proposed monolithic-like precast concrete column-foundation connection.
    Engineering Structures, 239, 113090.
    https://doi.org/10.1016/j.engstruct.2021.113090
    

    4. 

  4. 

    Pul, S., Atasoy, A., Senturk, M., & Hajirasouliha, I. (2021).
    Structural performance of reinforced concrete columns subjected to high-temperature and axial loading under different heating-cooling scenarios.
    Journal of Building Engineering, 43, 102477.
    https://doi.org/10.1016/j.jobe.2021.102477
    

    5. 

  5. 

    Senturk, M., Pul, S., Ilki, A., & Hajirasouliha, I. (2020).
    Development of a monolithic-like precast beam-column moment connection: Experimental and analytical investigation.
    Engineering Structures, 206, 110057.
    https://doi.org/10.1016/j.engstruct.2019.110057
    

    6. 

  6. 

    Pul, S., & Senturk, M. (2017).
    A bolted moment connection model for precast column-beam joint.
    World Congress on Civil, Structural, and Environmental Engineering.
    https://doi.org/10.11159/icsenm17.129
    

    7.