Assist. Prof. Dr. MARWAN AHMED ABDULLAH ALASALI | Elasticity | Best Researcher Award

Assist. Prof. Dr. MARWAN AHMED ABDULLAH ALASALI | Aljanad University for Science and Technology, Yemen

Dr. Marwan Ahmed Abdullah Sufyan, a Yemeni national, is a highly accomplished academic and researcher in electrical and mechatronics engineering. With extensive experience across teaching, research, and training, he has contributed significantly to engineering education in Yemen and abroad. He currently plays a key role in course development and academic committees at Al-Janad University and Taiz University. Dr. Marwan is an active member of multiple professional and academic forums and has led training programs for hundreds of students internationally. He has also undergone various specialized training courses in India, including programs at IIT Kanpur and AMU. With over 25 professional certifications and development programs, he brings global expertise in robotics, control systems, PLC programming, IoT, and modern research methodologies. Passionate about knowledge-sharing, he has received awards for his outstanding research and educational contributions, and remains deeply committed to mentoring future engineers and innovators across Yemen and beyond.

Profile

Google Scholar

🎓 Education

Dr. Marwan Ahmed Abdullah Sufyan has a solid educational foundation in electrical and mechatronics engineering. He earned his academic degrees in India, where he also completed various research and skill-based certifications. His education includes specialized training in advanced research methodologies, robotics, programming, optimization, and circuit design. He completed a one-year English language and academic writing course from AMU, as well as multiple diplomas and short-term trainings from renowned institutions like IIT Kanpur, IIT Bombay, and SRTM University. His exposure to high-level academic and technical environments in India provided him with the necessary tools for impactful research and education. In addition, he is proficient in LaTeX for scientific writing and has advanced understanding of tools used in AI, IoT, SCILAB, and CAD/CAM. His commitment to continuous learning is evidenced by over 25 technical certifications across engineering and pedagogy domains, aligning his education with real-world engineering and research challenges.

👨‍🔬 Experience

Dr. Marwan has substantial teaching and academic leadership experience. He is actively involved as a Committee Member in the Mechatronics Engineering Courses Specification at Al-Janad University and in Renewable Energy Engineering Programs at Taiz University. In addition to classroom instruction, he has led various academic committees and training sessions, including serving as President of the Academic Engineering Forum at Aligarh Muslim University and the Academic Committee in the Yemen Students Union. His teaching experience spans a range of engineering topics including robotics, electrical engineering, and digital systems. He has facilitated training for Yemeni students in India across bachelor’s, master’s, and doctoral levels. Dr. Marwan has contributed significantly to curriculum development and quality enhancement in higher education institutions. His efforts in project-based learning, modern teaching methods, and lab development further highlight his dedication to advancing engineering education and bridging the gap between theoretical knowledge and applied research.

🔍 Research Interest

Dr. Marwan’s research centers on Mechatronics Engineering, Electrical Systems, and Renewable Energy, with a strong emphasis on optimization techniques, PLC and control systems, and intelligent automation. He actively explores applications in IoT, low-power VLSI design, digital signal processing, and robotics. A recurring theme in his work is the integration of nature-inspired optimization with modern engineering challenges. He is skilled in scientific tools like LaTeX, SCILAB, and advanced simulation platforms such as Typhoon HIL for real-time system analysis. His passion for technology-enhanced learning is evident through his involvement in multiple FDPs and development programs that blend AI, smart grid technology, and project-based methodologies. He aims to bridge the gap between academic research and industrial application, supporting sustainable development in Yemen and beyond. With consistent participation in global training platforms and academic collaboration, Dr. Marwan continues to develop research that is practical, future-oriented, and highly relevant to emerging technologies.

🏆 Awards

Dr. Marwan has received several awards in recognition of his academic excellence and leadership. He was awarded the Best Paper Award at the IEEE UPCON 2019 (International Conference on Electrical, Electronics and Computer Engineering) hosted by Aligarh Muslim University in collaboration with The Ohio State University and NPTI, India. In 2021, he was recognized with a Certificate of Appreciation from the Consulate General of Yemen in Mumbai for his dedication and services to Yemeni students abroad. His leadership roles as President of the Academic Engineering Forum and the Academic Committee of Yemeni Students reflect his commitment to educational and professional development. Through his role as coordinator for volunteer training programs in India, he has helped mentor and guide over 150 Yemeni students across various scientific disciplines. These honors validate his passion for education, community support, and excellence in engineering research.

📚 Publications

Tethered balloon technology for green communication in smart cities and healthy environment

Citations: 23

An investigation on the application and challenges for wide area monitoring and control in smart grid

Citations: 16

Analysis of effectiveness of PMU based wide area monitoring system in Indian power grid

Citations: 12

Implementation of PMU-based distributed wide area monitoring in smart grid

Citations: 11

Adaptive handoff prediction and appreciate decision using ANFIS between terrestrial communication and HAP

Citations: 8

PMU assisted state estimation in distribution system with PV penetration

Optimal PMU Placement for Smart Grid: A Technical Case Study

Citations: 2

The Significant Role of Technology in Conducting the Academic Research

Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid

Applications of Synchrophasors Technology in Smart Grid

Citations: 1

Conclusion

Yes, Dr. Marwan Ahmed Abdullah Sufyan is an excellent candidate for the “Best Researcher Award”. His dedication to high-impact research, commitment to academic leadership, and record of mentorship and international collaboration all reflect the values of this prestigious recognition. His work contributes meaningfully to global scientific knowledge while supporting the growth of engineering education in Yemen and abroad.

Zhenyi Liu | Elasticity | Best Researcher Award

Postgraduate at Daliann Maritime University ,China

Zhenyi Liu is a promising master’s student at Dalian Maritime University, specializing in underwater optical imaging. After earning his B.S. degree from Zhongyuan University of Technology in 2022, Liu has focused on advancing imaging technologies for underwater environments, where visibility challenges often hinder data collection. His research aims to improve the quality and accuracy of underwater imaging, with potential applications in marine biology, underwater archaeology, and environmental monitoring. Liu’s work reflects a solid academic foundation and a commitment to addressing significant technological challenges. Although his publication record is still growing, and broader collaboration could enhance his research impact, Liu’s innovative approach and dedication make him a standout candidate for the Best Researcher Award. His contributions could lead to important advancements in underwater imaging, highlighting his potential for future success in his field.

Profile:

Education:

Zhenyi Liu is currently pursuing a master’s degree at Dalian Maritime University, specializing in the field of underwater optical imaging. He began his academic journey by earning a Bachelor of Science degree from Zhongyuan University of Technology in 2022. Liu’s educational path has been marked by a focused interest in advancing imaging technologies to address the unique challenges of underwater environments. His undergraduate studies provided a strong foundation in information science and technology, which he has built upon in his current graduate research. At Dalian Maritime University, Liu is further developing his expertise in optical imaging, aiming to enhance the clarity and effectiveness of underwater data collection. His academic pursuits reflect a commitment to both theoretical knowledge and practical application, positioning him well for future contributions to the field of underwater technology and imaging.

Research Skills:

Zhenyi Liu possesses strong research skills focused on underwater optical imaging. His expertise lies in developing and optimizing imaging technologies that enhance visibility and data quality in underwater environments, which presents unique challenges due to light absorption and scattering. Liu demonstrates proficiency in advanced imaging techniques, including the application of optical filters and high-resolution sensors to improve image clarity. His research involves rigorous experimentation and data analysis to address technical issues and improve the performance of underwater imaging systems. Liu’s skills extend to designing and conducting experiments, analyzing results, and applying theoretical knowledge to practical problems. Additionally, his ability to stay abreast of current advancements in optical imaging and integrate them into his research enhances the relevance and impact of his work. Overall, Liu’s research skills reflect a strong combination of technical expertise, innovative problem-solving, and a commitment to advancing underwater imaging technology.

Publication Top Notes:

“Active imaging system based on infrared laser line synchronous scanning”
- Authors: H. Wu, Z. Liu, H. Wang, R. Guo, L. Dong
- Year: 2025
- Journal: Optics and Lasers in Engineering
- Volume: 184
- Article Number: 108556
- Citations: 0
“A laser field synchronous scanning imaging system for underwater long-range detection”
- Authors: H. Wu, Z. Liu, C. Li, Y. Zhai, L. Dong
- Year: 2024
- Journal: Optics and Laser Technology
- Volume: 175
- Article Number: 110849
- Citations: 0
“Real-time generation of underwater de-backscattering videos using the arrayed orthogonal polarization light source and active polarization imaging”
- Authors: H. Wu, Y. Zhai, C. Li, Z. Liu, L. Dong
- Year: 2024
- Journal: Optics and Lasers in Engineering
- Volume: 174
- Article Number: 107963
- Citations: 0

Conclusion:

Zhenyi Liu shows great promise as a researcher in underwater optical imaging. His innovative approach and dedication to advancing technology in this challenging field position him as a strong candidate for the Best Researcher Award. While there are areas for improvement, particularly in expanding his publication record and collaborating more broadly, his current achievements and research potential make him a noteworthy contender. With continued development and increased visibility, Liu is likely to make substantial contributions to the field of underwater imaging and beyond.