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

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

 

 

Ms. Yuanjiong Ying |Β Robotics Awards |Β Best Researcher Award

Ms. Yuanjiong Ying |Β Robotics Awards |Β 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.

 

 

Assoc Prof Dr. Duong Vu | Robotics Awards | Best Researcher Award

Assoc Prof Dr. Duong Vu | Robotics Awards | Best Researcher Award

Assoc Prof Dr. Duong Vu, Duy Tan University, Vietnam

Dr. Duong Vu is a renowned academic and engineer at Duy Tan University, Vietnam, with a distinguished background in Mechanical Engineering and Commerce Management. He earned his undergraduate degree from Voroshilopgrad University of Machine-Building in the Soviet Union and a Ph.D. in Plasma Spraying Technology from State Saint-Petersburg University, Russia. Dr. Vu’s research expertise spans deformation and stress analysis in welding, mechatronics, robotics, and advanced manufacturing processes, including additive manufacturing and thermal spraying technology. He has received numerous awards, including the VIFOTEC Prize and medals from Vietnam’s Ministry of Science and Technology, reflecting his significant contributions to science and technology.

Professional Profile:

Google Scholar

πŸŽ“ Education:

Dr. Duong Vu is a distinguished academic and engineer with an extensive educational background. He earned his undergraduate degree in Mechanical Engineering from Voroshilopgrad University of Machine-Building in the Soviet Union (1974-1980). Dr. Vu furthered his education with a Bachelor of Commerce Management from Hanoi University of National Economy (1995-1998) and obtained a Ph.D. in Plasma Spraying Technology from State Saint-Petersburg University, Russia (1990-1993). His diverse academic pursuits reflect a strong foundation in both engineering and management.

πŸ… Awards and Scholarships:

Dr. Duong Vu is a distinguished academic and researcher recognized for his exceptional contributions to science and technology. He earned an Outstanding Diplome and an Honorable Diplome from Voroshilopgrad University of Machine-Building for his academic excellence and research prowess. Dr. Vu has been awarded medals from the Ministry of Science and Technology and the Ministry of Industry and Commerce for his scientific and technological achievements. In 2016, he received the prestigious VIFOTEC Prize for designing an innovative automatic machine for packaging cable rolls. Additionally, Dr. Vu secured a government grant from Vietnam (2019-2020) to advance the commercialization of robots for welding quality inspection.

πŸ”¬ Research Interests:

Dr. Duong Vu is a distinguished researcher whose expertise encompasses a broad spectrum of advanced engineering disciplines. His research interests include the deformation and stress analysis in welding, the design and fabrication of antifrictional and bimetal materials, and the automatic control of production processes. He is also deeply involved in mechatronics, robotics, and the development of smart devices. Dr. Vu is at the forefront of additive manufacturing and thermal spraying technology, contributing to the advancement of materials and processes in these areas. His work in advanced manufacturing processes highlights his commitment to innovation and technological progress.

Publication Top Notes:

 

 

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas | Robotics and AI | Best Researcher Award

Dr. Konstantinos A. Tsintotas, Democritus University of Thrace, Greece

Dr. Konstantinos A. Tsintotas is a highly educated individual with a Ph.D. in Robotics from Democritus University of Thrace, Greece, complemented by a diverse academic background including a Certificate of Pedagogical and Teaching Competence. His expertise extends across academia and industry, having served as an Adjunct Assistant Professor at the International Hellenic University and holding positions as a Researcher at both Democritus University and Aristotle University of Thessaloniki. With a strong foundation in mechatronics and automation engineering, Dr. Tsintotas is proficient in computer vision, electronics, and various programming languages such as Matlab and Python. His practical experience as an Automation Engineer further enhances his skill set, making him adept at problem-solving and fostering collaborative environments.

Professional Profile:

Scopus

Orcid

Google Scholar

πŸŽ“ Education:

Dr. Konstantinos A. Tsintotas holds a Ph.D. in Robotics from Democritus University of Thrace, Greece. He also earned a Certificate of Pedagogical and Teaching Competence from the School of Pedagogical and Technological Education in Kozani, Greece, a Master of Science in Mechatronics from the Technological Education Institute of Western Macedonia, and a Bachelor of Science in Automation Engineering from the Technological Education Institute of Chalkida. Additionally, he holds a Certificate of Competency in English from The University of Michigan, Ann Arbor.

πŸ‘¨β€πŸ« Academia:

Dr. Tsintotas has served as an Adjunct Assistant Professor at the International Hellenic University in Serres and as an Adjunct Lecturer at the International Hellenic University in Katerini.

πŸ“šΒ Research Focus:

Dr. Tsintotas is a leading researcher in the dynamic field of mobile robotics πŸ€– With a focus on autonomous systems, his work pushes the boundaries of innovation in visual-based navigation and place recognition 🌐 His contributions pave the way for safer and more efficient autonomous vehicles and robotic systems, shaping the future of technology and exploration πŸš€

πŸ”¬ Research Experience:

Currently, he is engaged as a Postdoctoral Researcher at Democritus University of Thrace. Previously, he held positions as a Researcher and Teaching Assistant at the same university and as a Researcher at Aristotle University of Thessaloniki. Dr. Tsintotas also has practical experience as an Automation Engineer at Zalikas – Liontas construction company and as an Automation Engineer Intern at COOPER Industries – Menvier Univel Ltd.

πŸ’» Skills:

Dr. Tsintotas is proficient in computer vision, electronics, and data analysis & visualization. He is skilled in programming languages such as Matlab, Python, HTML, and Ladder. His soft skills include analytical & critical thinking, creativity, productivity, and being a team player.

πŸ“šΒ Publication Impact and Citations :

Scopus Metrics:

  • πŸ“Β Publications: 36 documents indexed in Scopus.
  • πŸ“ŠΒ Citations: A total of 430 citations for his publications, reflecting the widespread impact and recognition of Dr. Tsintotas’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 586 πŸ“–
    • h-index: 15Β  πŸ“Š
    • i10-index: 19 πŸ”
  • Since 2018:
    • Citations: 584 πŸ“–
    • h-index: 15 πŸ“Š
    • i10-index: 19 πŸ”

πŸ‘¨β€πŸ« A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. πŸŒπŸ”¬

Publication Top Notes: