Gaofan Ji | Robot Visual Navigation | Best Researcher Award

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Gaofan Ji | Robot Visual Navigation | Best Researcher Award

Mr. Gaofan Ji, Huzhou Institute of Zhejiang University, China.

Gaofan Ji, a passionate researcher in artificial intelligence 🤖, specializes in human posture estimation, robot visual navigation, and point cloud 3D reconstruction. Currently pursuing a master’s in Electronic Information Engineering 📚 at Huzhou University, Gaofan previously earned a bachelor’s degree in Vehicle Engineering 🚗 from Shandong University of Science and Technology. Proficient in Python, C++, ROS, and computer vision tools like PyTorch and OpenCV 💻, Gaofan thrives in creating innovative AI solutions. Beyond academia, he enjoys running, playing table tennis 🏓, and photography 📸, reflecting a well-rounded personality with a zest for technology and life.

Publication Profiles

Orcid

Education and Experience

  • 🎓 2018.9–2022.6: Bachelor’s in Vehicle Engineering, Shandong University of Science and Technology
  • 📖 2022.9–2025.6: Master’s in Electronic Information Engineering, Huzhou University
  • 🏢 2022.9–Present: Researcher at Huzhou Institute of Zhejiang University in Computer Vision

Suitability For The Award

Mr. Gaofan Ji, a postgraduate student in Electronic Information Engineering at Huzhou University, specializes in Computer Vision with a focus on human posture estimation, robot visual navigation, and 3D point cloud reconstruction. With expertise in Python, C++, ROS, Pytorch, and OpenCV, he has honed skills in artificial intelligence, applying them to practical research. His academic background, technical proficiency, and passion for AI make him a promising candidate for the Best Researcher Award.

Professional Development

Gaofan Ji’s professional expertise is centered on cutting-edge technologies in computer vision and artificial intelligence 🤖. Skilled in Python, C++, ROS, and Ubuntu systems, he leverages tools like PyTorch and OpenCV for AI development 💻. At the Huzhou Institute, his work focuses on human posture estimation, robot visual navigation, and 3D point cloud reconstruction 🧩. With a strong foundation in vehicle and electronic information engineering 🚗, he is adept at integrating software tools with AI for innovative solutions. A tech enthusiast who continuously explores advancements, Gaofan combines technical skills with a passion for problem-solving and innovation 🌟.

Research Focus

Publication Top Notes

  • 📄 MBSDet: A Novel Method for Marine Object Detection in Aerial Imagery with Complex Background Suppression (2024) 🌊🚁📷
  • 📄 A Novel Multi-LiDAR-Based Point Cloud Stitching Method Based on a Constrained Particle Filter (2024)  📡🛸🌐

Mr. Runyi Yang | 3D and Robotics | Best Researcher Award

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Mr. Runyi Yang | 3D and Robotics | Best Researcher Award

Mr. Runyi Yang, Imperial College London, United Kingdom

Mr. Runyi Yang is a promising researcher specializing in computer vision, robotics, and artificial intelligence, currently pursuing a Ph.D. in Computer Vision and Robotics at INSAIT, Bulgaria, under the mentorship of Prof. Luc Van Gool and Dr. Danda Pani Paudel. He holds a Master of Research (MRes) in AI and Machine Learning from Imperial College London, where he focused on camera relocalization and uncertainty quantification. His research encompasses Neural Radiance Fields (NeRFs), Gaussian Splatting, 3D reconstruction, and scene understanding, with notable contributions that have led to state-of-the-art results on public datasets. Recognized with the CICAI 2023 Best Paper Runner-up Award and several accolades in AI, robotics, and mathematics competitions, Runyi is dedicated to enhancing performance and efficiency in 3D rendering and scene understanding.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

While Mr. Yang is still at an early stage in his career, his groundbreaking research in computer vision, robotics, and AI, along with his recognitions and publications, demonstrate his potential to become a leader in these fields. His expertise in NeRFs, 3D reconstruction, and autonomous driving simulation is highly relevant to modern technological challenges, making him a strong contender for the Best Researcher Award.

Education & Expertise:

Mr. Runyi Yang is a talented researcher with a focus on computer vision, robotics, and AI. He is pursuing a PhD in Computer Vision and Robotics at INSAIT, Bulgaria, under the guidance of Prof. Luc Van Gool and Dr. Danda Pani Paudel. He holds a Master of Research (MRes) in AI and Machine Learning from Imperial College London, where he worked on camera relocalization and uncertainty quantification.

Research Focus:

Runyi’s research spans Neural Radiance Fields (NeRFs), Gaussian Splatting, 3D reconstruction, and scene understanding. He has contributed to advancing 3D implicit representation and compositional zero-shot learning, achieving state-of-the-art results on public datasets.

Achievements & Honors:

He has been recognized with the CICAI 2023 Best Paper Runner-up Award and multiple other accolades in AI, robotics, and mathematics competitions.

Current Research Interests:

His interests include camera relocalization, NeRFs, and 3D vision, with a focus on improving performance and efficiency in 3D rendering and scene understanding.

Publication Top Notes:

  • “Mars: An instance-aware, modular and realistic simulator for autonomous driving”
    • Citations: 63
    • Published: 2023
  • “GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping”
    • Citations: 10
    • Published: 2024
  • “SUNDAE: Spectrally Pruned Gaussian Fields with Neural Compensation”
    • Citations: 4
    • Published: 2024
  • “City-scale continual neural semantic mapping with three-layer sampling and panoptic representation”
    • Citations: 4
    • Published: 2023
  • “Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences”
    • Citations: 2
    • Published: 2022

 

 

Mrs. Hager Elhenidy | Robotics Awards | Best Researcher Award

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Mrs. Hager Elhenidy | Robotics Awards | Best Researcher Award

Mrs. Hager Elhenidy, Benha University, Egypt

🎓 Hager Gamal is a driven Mechatronics Engineering Master’s student at Benha University, Egypt, building upon her exceptional academic background from the Higher Institute of Engineering and Technology in Mahalla Al-Kubra. Her journey is marked by excellence, highlighted by a very good graduation degree and an outstanding project on prosthetic limb development. 💼 Hager’s professional repertoire spans across freelancing, electronics maintenance engineering, and technical office roles, showcasing her adaptability and proficiency. She has contributed to diverse projects, from 3D modeling to electronics maintenance, demonstrating her versatility. 💻 Proficient in SOLIDWORKS, Arduino, MATLAB, and more, Hager’s software skills are matched by her creativity in Adobe Premiere and Photoshop.

Professional Profile:

Scopus

🎓 Education:

Hager Gamal is currently pursuing a Master’s degree in Mechatronics Engineering at Benha University, following her Bachelor’s degree from the Higher Institute of Engineering and Technology in Mahalla Al – Kubra. Her academic journey has been marked by excellence, with notable achievements such as a very good graduation degree and an excellent project on prosthetic limb development.

💼 Work Experience:

With experience as a Freelancer, Electronics Maintenance Engineer, and Technical Office Engineer, Hager has demonstrated her versatility and proficiency in various roles. She has worked on diverse projects, including 3D modeling and product design, electronics maintenance, and technical office tasks.

💻 Software Skills:

Proficient in SOLIDWORKS, C Language, Arduino, Art Cam, MATLAB, Proteus, and various Microsoft Office applications. Additionally, she possesses expertise in Adobe Premiere and Photoshop, along with proficiency in YouTube channel management.

🧠 Soft Skills:

Hager is a highly motivated individual with strong leadership qualities and entrepreneurship skills. She excels in problem-solving, time management, and working under pressure. Her excellent presentation and communication skills complement her technical abilities.

Publication Top Note:

1.  Low-cost parallel delta robot for a pick-and-place application with the support of the vision system