Dr. Ying He | Robotic Vision | Best Researcher Award

Dr. Ying He , Qiyuan Lab , China.

Dr. Ying He 🎓 is a Research Assistant at Qiyuan Lab, specializing in robotic vision navigation 🤖, SLAM 📍, and machine learning 🤯. She earned her Ph.D. in Control Science and Engineering from Harbin Institute of Technology in 2018 and completed postdoctoral research at Tsinghua University in 2020 🏫. With over 20 SCI/EI-indexed publications 📚, she was a core contributor to China’s first space robotics project 🚀, which won the 2014 Military Science Progress First-Class Prize 🏆. She continues to lead innovations in real-time navigation, perception systems, and sensor integration for both aerospace and industrial applications 🔧🌐.

Professional Profile

Orcid

Education & Experience 

• 🎓 Ph.D. in Control Science and Engineering, Harbin Institute of Technology (2018)

• 🧪 Postdoctoral Research, Tsinghua University (2020)

• 🔬 Research Assistant, Qiyuan Lab

• 🤖 Specialized in robotic vision navigation, SLAM, and machine learning

• 📡 Key contributor to China’s first space robotics project

• 🏭 Collaborated with Shenzhen Municipality on industrial flowmeter integration

• ✍️ Published 20 SCI/EI-indexed journal papers

Summary Suitability

Dr. Ying He, currently serving as a Research Assistant at Qiyuan Lab, stands out as an exceptional candidate for the Best Researcher Award. With a Ph.D. in Control Science and Engineering from Harbin Institute of Technology and postdoctoral experience at Tsinghua University, she brings a robust academic foundation to her groundbreaking work in robotic vision navigation and SLAM. As a pivotal contributor to China’s first space robotics project—recognized with the 2014 Military Science Progress First Prize—Dr. He has bridged theoretical innovation and real-world engineering. Her impactful research, involving 16 completed projects and 20 high-quality publications, demonstrates her dedication to advancing space robotics, intelligent navigation, and machine perception.

Professional Development

Dr. Ying He has led and contributed to 16 cutting-edge R&D projects 🛠️, including space robotics, machine perception, and sensor integration. She has published extensively in prestigious journals like Acta Astronautica and IEEE Sensors Journal 📄, with her highest-impact paper reaching an IF of 4.3 🌟. She also holds 9 patents related to robotic systems 🧾, authored a technical book 📘, and served as a consultant on 16 industry-based projects 🏗️. Her practical solutions, especially in sensor data fusion and point-cloud-based SLAM, bridge academic theory and real-world engineering 🧠⚙️.

Research Focus 

Dr. Ying He’s research revolves around intelligent robotic perception systems 🤖, emphasizing robotic vision navigation, 3D reconstruction 🧱, and simultaneous localization and mapping (SLAM) 📍. Her expertise integrates computer vision 📸 with machine learning algorithms 🤯 for enhanced spatial awareness and decision-making in autonomous systems. She has significantly contributed to China’s space robotics program 🚀, and her innovations in point-cloud registration and image processing 🧠 have influenced both academic advancements and industrial applications. Her current focus also includes data-driven sensor fusion and DCS integration in factory automation ⚙️🏭, strengthening her position in AI-enhanced control systems 🤖📊.

Awards and Honors

• 🥇 First-Class Prize, 2014 Military Science Progress Award

• 📘 Book Author (ISBN-published technical book)

• 📜 20 SCI/EI-indexed Publications, including 2 CAS Tier-1 TOP journals and 3 Q1 journals

• 💡 9 Patents, published or under process

• 🏆 Recognized contributor in China’s first space robot project

• 🏗️ 16 Industrial/Consultancy Projects delivered successfully

• 🎓 Member, Chinese Association for Artificial Intelligence

Publication Top Notes

1. Development and Application of a Low-Cost Laser Line-Based 3D Scanner for Digitizing Biology Educational Tools in Secondary Schools
   🗓️ 2025
   📘 7th International Conference on Computer Science and Technologies in Education
   📄 Type: Journal Article
   👩‍🔬 Contributor: Ying He

2. Line-Structured Light-Based Three-Dimensional Reconstruction Measurement System with an Improved Scanning-Direction Calibration Method
   🗓️ 2025-06-29
   📘 Remote Sensing
   📄 Type: Journal Article
   👩‍🔬 Contributor: Ying He

3. Pose Tracking of Spacecraft Based on Point Cloud DCA Features
   🗓️ 2022-03-15
   📘 IEEE Sensors Journal
   🔗 DOI: 10.1109/jsen.2022.3148390
   📄 ISSN: 1530-437X, 1558-1748, 2379-9153
   👩‍🔬 Contributors: Ying He, Yang Jun, Kejiang Xiao, Chao Sun, Jia Chen

4. 深度学习在视频对象分割中的应用与展望 (Application and Prospects of Deep Learning in Video Object Segmentation)
   🗓️ 2021
   📘 计算机学报 (Journal of Computer Research and Development)
   🔗 DOI: 10.11897/sp.j.1016.2021.00609
   👩‍🔬 Contributors: 陈加, 陈亚松, 李伟浩, 田元, 刘智, 何英 (Ying He)

5. ICP Registration with DCA Descriptor for 3D Point Clouds
   🗓️ 2021-06-21
   📘 Optics Express
   🔗 DOI: 10.1364/oe.425622
   📄 ISSN: 1094-4087
   👩‍🔬 Contributors: Ying He, Jun Yang, Xingming Hou, Shiyan Pang, Jia Chen

6. ICP Registration Based on 3D Point Clouds Feature Descriptor
   🗓️ 2021-01-27
   📘 Twelfth International Conference on Graphics and Image Processing (ICGIP 2020)
   🔗 DOI: 10.1117/12.2589460
   👩‍🔬 Contributors: Ying He, Jun Yang, Zhiheng Li, Bin Liang

7. Multi-View Triangulation: Systematic Comparison and an Improved Method
   🗓️ 2020
   📘 IEEE Access
   🔗 DOI: 10.1109/access.2020.2969082
   📄 ISSN: 2169-3536
   👩‍🔬 Contributors: Jia Chen, Dongli Wu, Peng Song, Fuqin Deng, Ying He, Shiyan Pang

8. BRoPH: An Efficient and Compact Binary Descriptor for 3D Point Clouds
   🗓️ 2018-04
   📘 Pattern Recognition
   🔗 DOI: 10.1016/j.patcog.2017.11.029
   📄 ISSN: 0031-3203
   👩‍🔬 Contributors: Yu Zou, Xueqian Wang, Tao Zhang, Bin Liang, Jingyan Song, Houde Liu, Ying He

Conclusion

With a proven track record in high-impact research, applied innovation, and translational science, Dr. Ying He has made significant strides in advancing intelligent robotic systems and educational technology. Her blend of academic excellence, real-world engineering solutions, and dedication to knowledge dissemination makes her exceptionally well-suited for the Best Researcher Award. Recognizing her contributions would honor not only her achievements but also the transformative power of interdisciplinary research in solving complex global challenges.