Yueming Ma | Signal Processing | Best Researcher Award

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Mr. Yueming Ma | Signal Processing | Best Researcher Award

Mr. Yueming Ma , PhD Student , Shenyang Institute of Automation Chinese Academy of Sciences , China.

Yueming Ma is a Ph.D. candidate at the Shenyang Institute of Automation, Chinese Academy of Sciences, specializing in marine robotics and underwater signal processing. His academic journey is marked by continuous excellence, from earning his bachelor’s degree in Vehicle Engineering to securing direct admission into the doctoral program through a master-to-Ph.D. transfer. He has co-authored impactful research on passive synthetic aperture methods for underwater vehicles and has presented his work at notable conferences like IEEE OES. His contributions reflect a commitment to advancing underwater acoustic technologies for scientific and industrial applications.

Publication Profile

Google Scholar

🎓 Education Background

Yueming Ma completed his undergraduate studies in Vehicle Engineering from Hefei University of Technology, where he earned academic scholarships for three consecutive years. Following his undergraduate success, he was admitted to the master’s program in Pattern Recognition and Intelligent Systems at the Shenyang Institute of Automation, Chinese Academy of Sciences, based on academic merit. During his postgraduate studies, he transitioned into the Ph.D. program through an internal academic transfer, highlighting his research potential and dedication to scientific exploration in underwater robotics and signal processing.

🧑‍💼 Professional Experience

Yueming Ma has built his professional foundation within the Shenyang Institute of Automation, CAS, engaging in advanced research under the guidance of distinguished scientists like Dr. Jie Sun and Dr. Shuo Li. He has collaborated on underwater signal processing projects, including joint initiatives with the School of Navigation at Northwestern Polytechnical University. His work emphasizes hands-on experimental validation through pool-based and sea trials, including the deployment of the Haiyi 1000 underwater glider. Though early in his career, his research is already contributing to the evolving landscape of underwater sensing technologies.

🏆 Awards and Honors

While formal awards are pending, Yueming Ma’s academic and research excellence is demonstrated through competitive scholarships during his undergraduate years and admission into graduate and doctoral programs based on merit. His selection for conference presentations and publication in high-impact journals like the Journal of Marine Science and Engineering reflect peer recognition and scientific merit. His progression through academic ranks and collaborative research efforts position him as a promising scholar worthy of future accolades and honors in the fields of robotics and signal processing.

🔬 Research Focus

Yueming Ma’s research centers on underwater target detection and signal processing for marine robotic systems. His work emphasizes passive synthetic aperture techniques for direction-of-arrival (DOA) estimation using single-hydrophone underwater vehicles. He addresses challenges such as motion-induced distortions and limited aperture size by developing trajectory correction and motion-compensated models. Validated through real-world trials, his research pushes the boundaries of autonomous underwater sensing. His current interests include integrating data-driven methodologies to enhance DOA estimation robustness under complex underwater motion conditions, combining theory with practical experimentation for marine applications.

📝 Conclusion

Yueming Ma represents a new generation of dedicated marine robotic researchers with an emphasis on signal processing innovation. Through rigorous academic training, hands-on fieldwork, and multidisciplinary collaborations, he contributes meaningful advancements to underwater acoustic sensing. His research achievements, combined with growing publication activity and conference participation, position him as a strong candidate for the Best Researcher Award. With continued dedication, he is set to make significant impacts in underwater robotics, signal intelligence, and autonomous navigation technologies.

📄 Top Publications

  1. Passive Synthetic Aperture for Direction-of-Arrival Estimation Using an Underwater Glider with a Single Hydrophone
    🗓 Year: 2025
    📚 Journal: Journal of Marine Science and Engineering (JMSE)

  2. A Passive Synthetic Aperture Direction-of-Arrival Estimation Method Under the Autonomous Underwater Vehicle Yaw Motion
    🗓 Year: 2024
    📚 Conference: 2024 IEEE OES China Ocean Acoustics (COA)

 

Dr. Yuxiang Leng | Electrical engineering | Best Researcher Award

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Dr. Yuxiang Leng | Electrical engineering | Best Researcher Award

Ph.D, Chongqing University, China

Yuxiang Leng is an emerging researcher in the field of 3D laser point cloud technology and power transmission systems. He is currently pursuing his Ph.D. at the State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, China. With a strong academic background and an innovative mindset, Leng has actively contributed to the advancement of computer vision applications in power systems. He has published eight academic papers and presented his work at high-level international conferences, gaining recognition in both academia and industry for his contributions to smart grid technologies and engineering digitalization.

Publication Profile

Scopus

🎓 Education Background:

Yuxiang Leng earned his B.Sc. degree from Jiangsu University of Science and Technology in 2019 and his M.S. degree from Wenzhou University in 2022. He is currently a Ph.D. candidate at Chongqing University, focusing on advanced research in the digital management of power substations using 3D vision and laser scanning methods. His educational path reflects a consistent pursuit of excellence in engineering and technology.

💼 Professional Experience:

Though still in the early stages of his research career, Yuxiang has shown remarkable productivity. He has been actively involved in eight research projects and has taken a lead role in multiple academic studies. His technical work centers around developing high-precision measurement techniques and improving data accuracy in laser-based 3D reconstruction. While he has not yet been involved in consultancy or editorial positions, his practical approach and novel methodologies have already earned him significant attention in academic forums.

🏅 Awards and Honors:

While specific awards are not listed, Yuxiang’s recognition as a leading contributor to peer-reviewed SCI/EI journals, including being the first author in three high-impact publications, underlines his academic excellence. Additionally, his oral presentations at top-tier international conferences have positioned him as a rising talent in power equipment digitalization. His selection as an IEEE Student Member further reflects his commitment to research and innovation.

🔬 Research Focus:

Yuxiang’s research lies at the intersection of 3D computer vision, laser point cloud data analysis, and power transmission and transformation systems. His most notable contribution involves a dynamic compensation method that significantly reduces vibration-induced errors in 3D point cloud data, enhancing segmentation and reconstruction precision by over 70%. His work not only advances digital twin modeling but also supports smart maintenance, monitoring, and intelligent management of electrical substations.

🔚 Conclusion:

Yuxiang Leng stands out as a dynamic and promising young researcher whose innovative solutions are driving the future of power system digitalization. With a strong publication record, hands-on project experience, and a clear research vision, he is a fitting candidate for the Best Researcher Award. His blend of academic rigor and practical innovation ensures a meaningful impact in the realm of intelligent power grid technology.

📚 Top Publications of Yuxiang Leng

  1. Dynamic compensation approach for mitigating vibration interference in 3D point cloud data of electrical equipment
    Published: 2025
    Journal: Advanced Engineering Informatics
    Cited by: 3 articles

  2. Intelligent Early Warning System for Power Operation Safety Based on Laser Point Cloud Sensing
    Published: 2024
    Conference Paper: International Conference on Smart Energy Systems
    Cited by: 2 articles

  3. LoRaWAN Network Downlink Routing Control Strategy Based on the SDN Framework and Improved ARIMA Model
    Published: 2023
    Journal: Journal of Communications and Networks
    Cited by: 1 article

  4. Contactless Voltage Measurement Considering Spatially Dependent Voltage Compensation
    Published: 2023
    Conference Proceedings: IEEE Power & Energy Society Meeting
    Cited by: 0 articles

 

Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

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Assist. Prof. Dr. Habib Mohammed Hussien | Communication Engineering | Best Researcher Award

Addis Ababa Science and Technology University, Ethiopia

Dr. Habib Mohammed Hussien (PhD) is an esteemed Assistant Professor at Addis Ababa Science and Technology University, Ethiopia. With a deep passion for Artificial Intelligence, data science, blockchain, and wireless communication, he has significantly contributed to communication engineering, IT security, and industry electrical system design. His research focuses on high-altitude platforms, computer networks, and electrical systems, making him a key figure in technology transfer and industry advisory. Dr. Habib has authored over 32 high-quality publications in reputed SCI, Scopus, and Web of Science-indexed journals and conferences, shaping advancements in his field.

Publication Profile

Google Scholar

🎓 Education:

Dr. Habib Mohammed earned his PhD in Electrical Engineering (Communication Engineering) from Addis Ababa University, AAiT (2016–2022), receiving an “Excellent” grade for his dissertation on “Resource Allocation and Beam-pointing Optimization of High-Altitude Platform (UAV) Wireless Networks”. He completed his MSc in Electrical and Electronics Engineering (Signal and Information Processing) at Tianjin University, China (2008–2011), where he specialized in moving object detection and tracking systems using computer vision. His academic journey began at Adama Science and Technology University, where he earned a BSc in Electrical and Electronics Engineering/Technology with distinction.

💼 Experience:

Dr. Habib currently serves as an Assistant Professor at Addis Ababa Science and Technology University since February 2023. His professional expertise extends to communication system design, electrical and electromechanical system supervision, industry electrical plant design, and IT security. He actively engages in community service and industry advisory, fostering technological innovations.

🏆 Awards and Honors:

Dr. Habib’s outstanding academic and research contributions have been recognized with numerous accolades. He has received prestigious international and institutional awards for his excellence in wireless communication, AI applications, and high-altitude platform research. His PhD dissertation was graded “Excellent”, highlighting his groundbreaking work in UAV-based communication networks.

🔬 Research Focus:

Dr. Habib’s research interests include Artificial Intelligence, data science, and blockchain, with a strong emphasis on applying AI to wireless communication and high-altitude platforms. His work also spans communication engineering, IT security, electrical systems, and industry technology transfer. He explores performance optimization, resource allocation, and spectrum utilization in high-altitude platform networks to enhance global connectivity and broadband services.

📚 Publications:

Compressed Amharic Text: A Prediction by Partial Match Context-Modeling Algorithm (2024) – Communications in Computer and Information Science

Robust rateless space-time block coding for mmWave massive MIMO system (2024) – Heliyon

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services (2024) – Journal of Computational Science & Data Analytics

Capacity, Coverage and Power Profile Performance Evaluation of a Novel Rural Broadband Services Exploiting TVWS from High Altitude Platform (2022) – IEEE Open Journal of the Computer Society

Performance Optimization of High-Altitude Platform Wireless Communication Network Exploiting TVWS Spectrums Based on Modified PSO (2022) – IEEE Open Journal of Vehicular Technology

🔍 Conclusion:

Dr. Habib Mohammed Hussien is a leading researcher and educator in AI-driven communication systems and high-altitude platforms. His cutting-edge research, extensive publications, and industry collaborations position him as an influential figure in wireless communication, IT security, and electrical system design. With a commitment to innovation and academic excellence, Dr. Habib continues to shape the future of AI and communication networks. 🚀