Juan Carlos Antolin Urbaneja | Vision Sensing | Best Researcher Award

Dr. Juan Carlos Antolin Urbaneja | Vision Sensing | Best Researcher Award

Dr. Juan Carlos Antolin Urbaneja, TECNALIA, Basque Research and Technology Alliance, BRTA, Spain.

Juan Carlos Antolín Urbaneja is a Senior Researcher at TECNALIA, part of the Basque Research & Technology Alliance (BRTA). With over 25 years of experience in robotics and automation, Juan Carlos specializes in 3D vision, 3D reconstruction, robotized inspection, and image analysis. He has worked on diverse technologies, including surface treatment, water quality identification, robots, and additive manufacturing. His contributions extend to various industrial sectors such as biomedical, automotive, and aeronautical, where he develops custom software and hardware solutions. He has led numerous public and private research projects and co-authored a European patent.

Professional Profile

ORCID

Suitability of Juan Carlos Antolín Urbaneja for the Best Researcher Award

Juan Carlos Antolín Urbaneja, I believe he is highly suitable for the Best Researcher Award. He has successfully managed and executed around 40 research projects, including both public and private funding, indicating a strong ability to drive innovative research initiatives.

Education 🎓

Juan Carlos holds a degree in Industrial Engineering with an electrical specialty (2000) from Bilbao Faculty of Engineering, Basque Country University. He also completed a degree in Innovation and Technology Management (2004) from Deusto Faculty (ESIDE). His academic journey culminated in a Ph.D. in Control Engineering, Automation, and Robotics from the University of the Basque Country in 2017. This foundation in engineering and management has propelled him into an influential career in robotics and automation, blending theoretical knowledge with practical applications in cutting-edge technologies.

Experience 💼

With a robust career spanning 25 years, Juan Carlos has been deeply involved in the research, development, and execution of advanced robotic systems. He has participated in over 40 projects, both public and private, and has contributed significantly to the development of innovative machines used in various industries. His expertise includes electrical and electronic design, where he applies programming tools like Matlab-Simulink and LabVIEW. Juan Carlos is also a peer reviewer and co-author of scientific papers, contributing to the field’s growth. His notable contributions include robotic inspection systems and advanced additive manufacturing techniques.

Research Interests 🔬

Juan Carlos’s research interests are centered around robotics, automation, and additive manufacturing. His work explores the development of systems for robotized inspection and 3D scanning, with applications in large-scale parts inspection and dimensional qualification. He is particularly interested in enhancing the capabilities of robots to interact with complex materials and environments, such as biomedical and automotive sectors. His research also spans innovations in wave energy and surface treatment, continuously striving for breakthroughs that bridge the gap between theoretical research and practical industrial solutions.

Awards 🏆

Juan Carlos has received numerous accolades throughout his career. He is the recipient of more than 20 awards, including recognition for his contributions to robotics, automation, and innovation. His work in additive manufacturing and robotized inspection has earned him widespread recognition in scientific communities. As a testament to his contributions, he was nominated for several prestigious awards, including the Distinguished Scientist Award and the Outstanding Scientist Award. These honors reflect his excellence in both research and industrial applications, highlighting his impact on technological advancements.

Publications Top Notes📚

Automated MOLDAM Robotic System for 3D Printing: Manufacturing Aeronautical Mould Preforms

Robotized 3D Scanning and Alignment Method for Dimensional Qualification of Big Parts Printed by Material Extrusion

Experimental Characterization of Screw-Extruded Carbon Fibre-Reinforced Polyamide: Design for Aeronautical Mould Preforms with Multiphysics Computational Guidance

Coordination of Two Robots for Manipulating Heavy and Large Payloads Collaboratively: SOFOCLES Project Case Use

Robot Coordination: Aeronautic Use Cases Handling Large Parts

 

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen, Hiroshima University, China

Mengjuan Chen, born in September 1994 in Nanjing, Jiangsu, is a dedicated researcher in the fields of computer vision and robotic visual measurement. Currently pursuing her Ph.D. in Smart Innovation at Hiroshima University (Oct. 2021 – Sept. 2024), Mengjuan holds a Master’s degree in Control Engineering from the University of Chinese Academy of Sciences (Sept. 2016 – Jun. 2019) and a Bachelor’s degree in Automation from Beijing University of Chemical Technology (Sept. 2012 – Jun. 2016). Her impressive academic journey is adorned with numerous accolades, including a National Scholarship, “Merit Student” and “Excellent Student Cadre” awards from the Chinese Academy of Sciences, and top prizes in national industry automation competitions. Professionally, Mengjuan has been contributing to the Institute of Automation at the Chinese Academy of Sciences since July 2019, focusing on the research and development of structured light 3D cameras and high-speed 3D reconstruction systems. Additionally, she serves as the CEO of ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd. Her experience also includes internships at Innovation Works AI Engineering Institute and Baidu, where she worked on visual algorithms and autonomous vehicle technology. Mengjuan’s technical skills and leadership in advancing robotic and computer vision technologies mark her as a notable figure in her field.

Professional Profile

Educational Background:

  • Oct. 2021-Sept. 2024: Smart Innovation Doctor, Hiroshima University 🎓
  • Sept. 2016-Jun. 2019: Master in Control Engineering, University of Chinese Academy of Sciences 📘
  • Sept. 2012-Jun. 2016: Bachelor in Automation, Beijing University of Chemical Technology 🏫

Awards and Recognitions:

  • National Scholarship 🏆
  • “Merit Student” of Chinese Academy of Sciences 🌟
  • “Excellent Student Cadre” of Chinese Academy of Sciences 🌠
  • Siemens Cup Challenge for Industry Automation: National First Prize 🥇
  • AB Cup Challenge for Industry Automation: National Second Prize 🥈

Professional Experience:

  • Jul. 2019-Present: Scientific Researcher, Institute of Automation, Chinese Academy of Sciences 🧑‍🔬
    • Projects:
      • Development of Structured Light 3D Camera 📸
      • High-speed 3D Reconstruction and Point Cloud Analysis System for Moving Objects 🌐
      • Psychological Intelligence Perception and Big Data Analysis (Joint Laboratory) 🧠
  • Nov. 2019-Present: CEO, ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd 🏢

Internship Experience:

  • Jun. 2018-Sept. 2018: Visual Algorithm Intern, Innovation Works AI Engineering Institute 🤖
    • Work Content: Developed detection and classification algorithm for bread automatic settlement machine products 🍞
  • Sept. 2015-Dec. 2015: Algorithm Intern, Baidu Business Department of Internet Vehicles 🚗
    • Achievement: Secured a special offer in the Computer Vision Algorithm team of Baidu’s L4 unmanned vehicle department 🎯
  • Jul. 2014-Aug. 2014: Field Engineer, Schlumberger D&M Department 🛢️

 

Publications Notes:📄

A Visual-Feedback-Based Active Light-Section 3-D Reconstruction Method for Moving Objects

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers

A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing

Region Probability Map-Guided Fast Wide-Area Multiobject Detection

Relay Contact Performance Detection Based on High Precision 3D Point Cloud Registration

Modeling and Calibration of Active Thermal-Infrared Visual System for Industrial HMI