Yueming Ma | Signal Processing | Best Researcher Award

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

πŸŽ“ 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.

πŸ§‘β€πŸ’Ό 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.

πŸ† 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.

πŸ”¬ 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.

πŸ“ 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.

πŸ“„ Top Publications

  1. Passive Synthetic Aperture for Direction-of-Arrival Estimation Using an Underwater Glider with a Single Hydrophone
    πŸ—“ Year: 2025
    πŸ“š 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
    πŸ—“ Year: 2024
    πŸ“š Conference: 2024 IEEE OES China Ocean Acoustics (COA)

 

Ms. Hina Magsi | Signal Processing | Best Researcher Award

Ms. Hina Magsi | Signal Processing | Best Researcher Award

PhD Scholar, Sukkur IBA University, Pakistan

Engr. Hina Magsi is a dedicated lecturer at Mehran University of Engineering & Technology, Khairpur, with over four years of experience in research and teaching in the fields of telecommunication, electronics, embedded systems, AI, and machine learning πŸ“š. She is passionate about advancing the education of her students and has co-supervised several impactful projects, including an IoT-based flood monitoring system 🌊, wireless electric vehicle charging πŸš—, and a real-time drowsiness detection system πŸ›£οΈ. Hina has a strong academic background and actively contributes to research in satellite communication and space weather, with a focus on improving navigation systems using adaptive algorithms πŸ“‘.

Publication Profile

ORCID

Education

Hina Magsi holds a PhD in Electrical Engineering (Signal Processing) from Sukkur IBA University, where she earned a CGPA of 3.57 πŸŽ“. She completed her M.E. in Electronics and Communication from the same university with a CGPA of 3.47, and her B.E. in Telecommunication Engineering from Mehran University of Engineering & Technology with an impressive CGPA of 3.72. Her thesis topics include MIMO CO-OFDM in Free Space Optical Communication and Received Signal Quality Monitoring (RSQM) algorithms for improved navigation 🧠.

Experience

With diverse experience, Engr. Magsi has worked as a lecturer at Mehran University of Engineering & Technology, delivering courses across various electronic engineering subjects. She previously served as a research associate at Sukkur IBA University, focusing on satellite communication and space weather. Engr. Magsi also worked as a research assistant in bio-sensing, developing adaptive battery-aware methods for smart healthcare systems πŸ’‘. Early in her career, she gained practical experience at PTCL and SAKI Institute Sukkur.

Research Interests

Her primary research interests include satellite communication, signal processing, IoT applications, real-time monitoring systems, AI and machine learning in engineering, and adaptive algorithms for improved navigation accuracy πŸ“‘πŸ”. She is particularly interested in applying these technologies to healthcare and transportation systems πŸš‘πŸš—.

Awards

Engr. Magsi has received several prestigious awards, including merit-based scholarships at Mehran University and Sukkur IBA University πŸŽ“, as well as the International Merit Scholarship for her Ph.D. at Sukkur IBA University. She has also received funding for research projects from HEC NRPU and has been recognized for her contributions to education and research 🌟.

Publications

  • Accurate Monitoring and Timely Prediction of Ionospheric Scintillation Using Support Vector Machine
  • Improved Navigation Based on Received Signal Quality Monitoring (RSQM)
  • Adaptive Data Length Method for GPS Signal Acquisition in Weak to Strong Fading Conditions
  • Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System
  • A Novel Adaptive Battery-Aware Algorithm for Data Transmission in IoT-based Healthcare Applications