Assist. Prof. Dr. Yakun Ju | Marine Imaging | Best Researcher Award

Assist. Prof. Dr. Yakun Ju | Marine Imaging | Best Researcher Award

Assist. Prof. Dr. Yakun Ju, University of Leicester, United Kingdom

Dr. Yakun Ju is a Lecturer (Assistant Professor) at the School of Computing and Mathematical Sciences at the University of Leicester, UK. He previously held research positions at Nanyang Technological University, Singapore, and The Hong Kong Polytechnic University, working on deep learning, 3D reconstruction, computational imaging, medical image processing, and underwater vision. He earned his Ph.D. in Computer Science from Ocean University of China under the supervision of Prof. Junyu Dong and holds a Bachelor’s degree in Engineering from Sichuan University. Dr. Ju is actively involved in academic service, serving as an Associate Editor for Neurocomputing and Intelligent Marine Technology and Systems and on the editorial boards of Applied Soft Computing, Frontiers in Artificial Intelligence, and PLOS ONE. His contributions extend to guest editing special issues in Computer Vision and Image Understanding, Frontiers in Marine Science, and Remote Sensing, focusing on advanced computational imaging and 3D reconstruction.

Professional Profile:

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Summary of Suitability for Best Researcher Award – Yakun Ju

Dr. Yakun Ju is an emerging and highly accomplished researcher in Deep Learning, 3D Reconstruction, Computational Imaging, and Medical Image Processing. His rapid academic progression, prestigious research positions, and strong publication and editorial contributions make him a strong candidate for the Best Researcher Award.

🎓 Education

  • Ph.D. in Computer Science (2016 – 2022) – Ocean University of China, supervised by Prof. Junyu Dong
  • Bachelor of Engineering (2012 – 2016) – Sichuan University

💼 Work Experience

  • Lecturer (Assistant Professor) – University of Leicester, UK (11/2024 – Present)
  • Research Fellow – Nanyang Technological University, Singapore (09/2023 – 11/2024)
    • Worked at the Rapid-Rich Object Search (ROSE) Lab with Prof. Alex C. Kot
  • Postdoctoral Fellow – The Hong Kong Polytechnic University, Hong Kong SAR (09/2022 – 09/2023)
    • Worked at the Department of Electrical and Electronic Engineering with Prof. Kin-Man Lam
  • Research Assistant – The Hong Kong Polytechnic University, Hong Kong SAR (01/2021 – 07/2021)
    • Worked with Prof. Kin-Man Lam
  • Visiting Scholar – Peking University, China (09/2020 – 12/2020)
    • Worked at the Wangxuan Institute of Computer Technology with Prof. Yuxin Peng

🏆 Achievements, Awards, and Honors

  • Associate Editor – Neurocomputing (01/2025 – Present)
  • Associate Editor – Intelligent Marine Technology and Systems (11/2023 – Present)
  • Editorial Board Member – Applied Soft Computing (02/2025 – Present)
  • Editorial Board Member – Frontiers in Artificial Intelligence (06/2024 – Present)
  • Editorial Board Member – PLOS ONE (04/2024 – Present)
  • Guest EditorComputer Vision and Image Understanding (CVIU) Special Issue: Advanced Computational Imaging and Photography Measurement (03/2024 – 09/2024)
  • Guest EditorFrontier in Marine Science Special Issue: Underwater Visual Signal Processing in the Data-Driven Era (08/2024 – 01/2025)
  • Guest EditorRemote Sensing Special Issue: Remote Sensing Techniques for 3D Reconstruction and Multimodal Structural Analysis

🔬 Research Interests

  • Deep Learning
  • 3D Reconstruction
  • Computational Imaging
  • Medical Image Processing
  • Underwater Vision

Publication Top Notes:

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Dr. Jean Triboulet | Subsea Vision | Best Researcher Award

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award 

Dr. Jean Triboulet, LIRMM, France

Jean Triboulet is a distinguished researcher and academic specializing in robotics and computer vision, with a particular focus on medical and underwater robotics. He holds a Doctorate in Engineering Sciences from the University of Évry Val d’Essonne, where he developed a multisensor system for environment modeling applied to teleoperation under the supervision of Prof. F. Chavand. Since 2003, Jean has been integrated into the Research Department of Robotics at LIRMM UMR 5506. His extensive academic journey includes a DEA in Robotics from Paris VI, a Master’s in EEA with an option in Automation from Paris XI, and a Bachelor’s in Electronics, Electrotechnics, and Automation from Paris XI.

Professional Profile:

Summary of Suitability for Best Researcher Award

Jean Triboulet is a seasoned researcher with extensive contributions to the fields of computer vision, medical robotics, and underwater robotics. His robust educational background, significant scientific contributions, leadership in research projects, and active participation in academic communities position him as a strong candidate for the Best Researcher Award.

Education

  • 2019: Habilitation to Supervise Research: “Elements of Vision for Robotics”
    • Institut National Polytechnique de Toulouse
    • Jury: S. Lelandais (pres.), S. Lacroix (ref. + rap.), P. Drap (rap.), P. Grussenmeyer (rap.), P. Montesinos (exa.), B. Jouvencel (exa.)
  • 1996: Doctorate in Engineering Sciences: “Characterization of a Multisensor System for Environment Modeling. Application to Teleoperation”
    • University of Évry Val d’Essonne
    • Supervisor: Prof. F. Chavand
    • Monitor then 1/2 ATER
  • 1991: DEA in Robotics, option Intervention and Service Robotics
    • Paris VI
  • 1990: Master’s in EEA, Option Automation
    • Paris XI
    • Certificate in Optics (ESO: Orsay)
  • 1989: Bachelor’s in Electronics, Electrotechnics, and Automation
    • Paris XI
  • 1988: DEUG A
    • Paris XI

Positions

  • 2003: Integrated into the Research Department of Robotics at LIRMM UMR 5506
  • 2002: MCF 1021 Position at CUFR of Nîmes: 61st Section + welcomed at CEM2 UMR 5507
  • 1996: MCF 0375 Position at IUFM of Versailles: 61st Section + welcomed at LSC Evry
  • 1992: National Service: Section Chief in Instruction Company at the rank of Aspirant

Publication top Notes:

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Sensor-Based Behavior Analysis and Modeling for the Honeybee Superorganism: A Platform

Acute effects of graduated and progressive compression stockings on leg vein cross-sectional area and viscoelasticity in patients with chronic venous disease

An original 3D reconstruction method using a conical light and a camera in underwater caves

Noninvasive measurement of venous wall deformation induced by changes in transmural pressure shows altered viscoelasticity in patients with chronic venous disease

Contour-based approach for 3D mapping of underwater galleries