Assist. Prof. Dr. Federal State Budgetary | Robotics | Excellence in Research Award

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Assist. Prof. Dr. Federal State Budgetary | Robotics | Excellence in Research Award

Assist. Prof. Dr. Federal State Budgetary | Robotics – Head of the Laboratory at V.I. Il’ichev Pacific Oceanological Institute, Russia

Dr. Yuri Nikolaevich Morgunov is a distinguished Russian scientist specializing in marine acoustics and oceanography. As the Head of Laboratory 6/2 – Acoustic Tomography at the V.I. Il’ichev Pacific Oceanological Institute of the Far Eastern Branch of the Russian Academy of Sciences, he has significantly advanced the understanding of acoustic propagation in marine environments.

Profile:

Scopus​

Education:

Morgunov earned his Candidate of Sciences degree in 1998 with a dissertation titled “Posulskaya Defensive Line: Stages of Formation and Development,” supervised by A.E. Leontiev. He completed his Doctor of Sciences in 2007, presenting a thesis on “Fortification of Southern Rus’ in the 10th–13th Centuries.

Experience:

Throughout his career, Morgunov has led numerous expeditions, including significant research in the Sea of Japan. His work has focused on enhancing measurement capabilities in marine environmental studies through advanced acoustic techniques.​

Research Interests:

Morgunov’s research interests encompass ocean thermometry, ocean tomography, and the study of shelf zones. His work aims to improve the accuracy of oceanographic measurements and deepen the understanding of marine acoustic properties.​

Awards:

While specific awards are not detailed in the provided information, Morgunov’s extensive contributions to marine science and his leadership in significant research projects highlight his exceptional dedication and impact in the field.​

Publications:

Morgunov has authored several influential publications, including:​

  1. “Analysis of Deep-Sea Acoustic Ranging Features for Enhancing Measurement Capabilities in the Study of the Marine Environment” (2024) – Journal of Marine Science and Engineering​
  2. “Propagation Features of Pseudorandom Pulse Signals from an Extended Shelf into the Deep Sea upon Reception at Different Depths” (2024) – Doklady Earth Sciences​
  3. “Erratum to: Experimental Test of the Acoustic Thermometry Method on a Long Track in the Sea of Japan” (2024) – Doklady Earth Sciences​
  4. “Experimental Testing of Acoustic Thermometry at the Scale of the Sea of Japan with a Receiver System Placed on the Axis of an Underwater Sound Channel” (2023) – Acoustical Physics​
  5. “Experimental Testing of the RAY Computational Program for Solving Acoustic Ranging Problems on Long Trajectories Including Shelves and Deep Seas” (2023) – Acoustical Physics​
  6. “On the Effect of Horizontal Refraction Caused by an Anticyclonic Eddy in the Case of Long-Range Sound Propagation in the Sea of Japan” (2023) – Journal of Marine Science and Engineering​
  7. “Transport of the Tumen River Water to the Far Eastern Marine Reserve (Posyet Bay) Based on In Situ, Satellite Data, and Lagrangian Modeling Using ROMS Current Velocity Output” (2023) – Marine Pollution Bulletin​

Conclusion:

Yuri Nikolaevich Morgunov’s extensive research and leadership in marine acoustics position him as a strong candidate for the “Best Researcher Award.” His work has significantly advanced the field, and his continued dedication promises further contributions to marine science.

Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

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Ms. Yuanjiong Ying | Robotics Awards | Best Researcher Award

Ms. Yuanjiong Ying, Shanghai Jiao Tong University, China

Ms. Yuanjiong Ying is an accomplished M.S. student in Robotics at Shanghai Jiao Tong University, where she also earned her B.S. in Mechanical Engineering, recognized with honors such as the Outstanding Graduate Award and Academic Scholarship. With extensive internship experience at Huawei’s 2012 Lab and JAKA Robotics Co., Ltd., she has developed advanced algorithms for autonomous driving and collaborative robotics. Her project leadership includes creating state estimation algorithms for UAVs in GPS-denied environments and developing a vision-inertial SLAM system, showcasing her expertise in robotics, visual perception, and autonomous systems.

Professional Profile:

Scopus

Suitability for the Award

Ms. Yuanjiong Ying is an outstanding candidate for the Best Researcher Award due to the following reasons:

  1. Academic Excellence:
    • Ms. Ying has consistently demonstrated academic excellence throughout her studies, maintaining a top GPA and earning numerous honors and awards. Her rigorous academic background in robotics and mechanical engineering, coupled with her performance at one of China’s top universities, positions her as a leading young researcher.
  2. Research Impact:
    • Despite her relatively early career stage, Ms. Ying has already made significant contributions to the field of robotics, evidenced by her authorship of key publications and patents. Her work on multi-view active sensing, collision-evaluation systems, and efficient moving horizon estimation has the potential to advance human-robot interaction, UAV localization, and collaborative robotics.
  3. Professional Experience:
    • Her internships at Huawei and JAKA Robotics provided her with practical experience in applying her research to real-world problems, particularly in autonomous driving and collaborative robotics. Her contributions to high-resolution visual representation and safety trajectory planning demonstrate her ability to translate complex theoretical concepts into practical applications.
  4. Leadership and Innovation:
    • Ms. Ying’s leadership roles in project management and her involvement in extracurricular activities reflect her ability to lead and innovate. Her experience in organizing significant university events also suggests strong organizational and interpersonal skills, which are critical for a successful research career.

Summary of Qualifications

  1. Education:

    • M.S. in Robotics (2022.09 – 2025.06), Shanghai Jiao Tong University:
      • GPA: 3.8/4.0, Top 10%.
    • B.S. in Mechanical Engineering (2018.09 – 2022.06), Shanghai Jiao Tong University:
      • GPA: 3.7/4.3, Top 15%.
      • Honors: Outstanding Graduate Award, Outstanding Student Leader Award, Academic Scholarship, Excellence Scholarship.

  2. Publications & Patents:

    • Authored and co-authored several impactful papers and patents, including:
      • “Multi-View Active Sensing for Human-Robot Interaction via Hierarchically Connected Tree” (1st Author, SNA).
      • “CEASE: Collision-Evaluation-based Active Sense System for Collaborative Robotic Arms” (2nd Author, TIM).
      • “A Computationally Efficient Moving Horizon Estimation for Flying Robots’ Localization Regarding a Single Anchor” (2nd Author, ROBIO).
      • Patents: Proactive Safety Protection Technology for Collaborative Robots, Active Vision Algorithm Based on Cylindrical Representation of Humanoid Obstacles, Design of a Decoupled Active Vision Mechanism Enclosure.

  3. Internship Experience:

    • Huawei 2012 Lab, Central Media Technology Institute (2024.06 – Present):
      • Worked on Autonomous Driving Algorithm as an intern, focusing on high-resolution visual representation for multimodal large models in autonomous parking scenarios.
    • JAKA Robotics Co., Ltd. (2023.02 – 2024.03):
      • Developed visual perception algorithms for collaborative robots, focusing on safety trajectory planning and proactive visual perception.

  4. Project Experience:

    • Flying Robots’ Localization Algorithms Based on Multi-Sensor Data Fusion:
      • Project Lead, developed state estimation algorithms for UAV positioning in GPS-denied environments.
    • UAV Simultaneous Localization and Mapping System Based on Vision-Inertial Sensors:
      • Developed a tightly-coupled SLAM system for UAV localization.

  5. Extracurricular Activities:

    • Director of Culture and Sports Center, Shanghai Jiao Tong University Student Union (2019.03 – 2022.03):
      • Organized significant events such as the Graduation Ceremony and Anniversary Celebration.

  6. Professional Skills:

    • Programming Languages: Python, C++, MATLAB.
    • Software: PyTorch, HuggingFace, ROS, MoveIt!, Gazebo, Rviz, Linux, Git, Solidworks, AutoCAD.
    • LLMs: Proficient in LLM principles and fine-tuning; Familiar with models like LLaVA, CLIP, LLaMA, InternVL.
    • Robotic Systems: Proficient in the full operation process of robots (perception, planning, control); Familiar with VINS-Fusion framework, multi-sensor data fusion, and multi-camera environmental perception.

Conclusion

Ms. Yuanjiong Ying is a highly suitable candidate for the Best Researcher Award. Her combination of academic excellence, impactful research, professional experience, and leadership qualities makes her an exceptional contender for this recognition. Her contributions to robotics, particularly in human-robot interaction and UAV localization, highlight her potential to become a leading researcher in her field.