Prof. Jiaxuan Yang | Maritime Awards | Excellence in Research Award

Prof. Jiaxuan Yang | Maritime Awards | Excellence in Research Award

Prof. Jiaxuan Yang, Dalian Maritime University, China

Professor Jiaxuan Yang is a distinguished academic in the field of Transportation Engineering, specializing in Traffic Information Engineering & Control as well as Traffic Safety & Environment. He earned both his Bachelor’s degree in Communication Engineering (2003) and Ph.D. in Traffic Information Engineering & Control (2008) from Dalian Maritime University, where he has served as a faculty member of the Navigation College since 2008. Since July 2021, he has also held the position of Deputy Dean at the university’s Graduate School. Professor Yang has enriched his academic perspective through international research experiences as a visiting scholar at Lehigh University in the United States (2017) and the World Maritime University (2016).

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for Excellence in Research Award – Jiaxuan YANG

Professor Jiaxuan Yang is highly suitable for the Research for Excellence in Research Award based on an outstanding combination of academic credentials, sustained research contributions, and professional impact in the field of Transportation Engineering, particularly in Traffic Information Engineering & Control, Traffic Safety, and Maritime Navigation Systems.

🎓 Education

  • 📘 Ph.D. in Traffic Information Engineering & Control
    Dalian Maritime University (2003–2008)

  • 📡 B.Eng. in Communication Engineering
    Dalian Maritime University (1999–2003)

💼 Work Experience

  • 🧑‍🏫 Deputy Dean, Graduate School, Dalian Maritime University (Since July 2021)

  • 📍 Faculty Member, Navigation College, Dalian Maritime University (Since December 2008)

  • 🌍 Visiting Scholar, World Maritime University (2016)

  • 🇺🇸 Visiting Scholar, Lehigh University, USA (2017)

🏆 Awards & Honors

  • 🥇 2022 – Special Prize, Liaoning Provincial Graduate Teaching Achievement Award

  • 🥉 2018 – Third Prize, Dalian Science and Technology Award

  • 🥉 2013 – Third Prize, Dalian Natural Science Award

📚 Achievements

  • ✍️ Authored several textbooks, including:

    • Collision Avoidance and Communication for Marine Facilities (2022)

    • Communication and Navigation Systems for Ship Integrated Bridge (2023)

    • Information Technology and Communication Navigation Systems (2021)

    • Multiple publications on GMDSS operations and marine communication (2010–2020)

Publication Top Notes:

Diffusion Adversarial Learning For Underwater Depth Estimation

Anomaly detection method for ship trajectory based on stay region mining

A method for real-time detection of vessel abnormal behavior based on CNN-LSTM

A spatial-temporal data mining method for the extraction of vessel traffic patterns using AIS data

Spatial-temporal analysis of carbon emissions from ships in ports based on AIS data

Modeling and application of ship traffic conflicts in nearshore waters with heavy traffic

Optical Remote Sensing Ship Recognition and Classification Based on Improved YOLOv5

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