Zhao Zhao | Computer Vision for Robotics and Autonomous Systems | Research Excellence Award

Mr. Zhao Zhao | Computer Vision for Robotics and Autonomous Systems | Research Excellence Award

Tianjin University | Canada

Mr. Zhao Zhao is a researcher at Tianjin University specializing in intelligent transportation systems, autonomous mobile robot (AMR) scheduling, and sustainable urban logistics. His work focuses on optimization models integrating energy consumption, time-dependent electricity pricing, and real-world operational constraints. He has published in leading journals including Transportation Research Part C and International Journal of Production Research. Zhao has collaborated with international institutions such as Tsinghua University, Sichuan University, Tilburg University, and KEDGE Business School, and with industry partners including Toyota Tianjin and Hikvision, contributing to large-scale AMR deployment and innovative last-mile delivery solutions with significant societal and sustainability impact.

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Featured Publications


In-plant autonomous mobile robot scheduling and routing problem considering battery consumption model.

– Transportation Research Part C: Emerging Technologies  (2025). Cited By : 1

DR. Lionel Gilson| 3D Computer Vision| Best Scholar Award

Dr. Lionel Gilson, 3D Computer Vision, Best Scholar Award

Doctorate at Royal Military Academy, Belgium

Professional Profile

 

Name: Gilson Lionel
Address: 129 Avenue Général Eisenhower, 1030 Brussels, Belgium
Date of Birth: 09/09/1982
Nationality: Belgian

Education:

  • 2000 – 2005:
    • Degree: Civil Engineer in Material Science
    • Institution: UniversitĂ© Libre de Bruxelles
    • Graduated with Honours
    • Final Project Title: Effects of Heterovalent Ions on the Properties of Powders Based on LiNiO2

    2013 – 2017:

    • Degree: PhD in Cotutelle
    • Institutions: UniversitĂ© de Lille and Royal Military Academy
    • PhD Topic: Study of the Mechanical Behaviour of Multi-Materials Submitted to Ballistic Impact: Experimental and Numerical Approaches

Professional Experience:

  • 2003 – 2004:
    • Position: Trainee, Analysis Department (Atomic Spectrometry)
    • Company: Solvay, Brussels

    2005 – Present:

    • Position: Research Engineer
    • Organization: Belgian Defense – Royal Military Academy
      • Conducts research on dynamic material behaviour and security applications.
      • Performs experimental and numerical studies on material resistance to ballistic impacts and blast loading.
      • Serves as an internal auditor for laboratory quality systems (ISO 17025).
      • Contributes to expertise in the Materials Laboratory.

    2018 – Present:

    • Position: Associate Researcher
    • Institution: UniversitĂ© de Lille – UnitĂ© de MĂ©canique de Lille

 

Publications Top Noted:

Paper Title: Numerical analysis of an experimental ballistic test of Al/SiC functionally graded materials
  • Authors: Kada Zemani, Abdelghani May, Samir Khatir, Lionel Gilson, Thanh Cuong-Le, Magd Abdel Wahab, Hana Slamani
  • Year: 2024
  • Citations: 2
Paper Title: Experimental investigation of the quasi-static and dynamic compressive behavior of polymer-based 3D-printed lattice structures
  • Authors: A Bouteldja, MA Louar, L Hemmouche, L Gilson, A Miranda-Vicario, L Rabet
  • Year: 2023
  • Citations: 9
Paper Title: Ballistic limit evolution of field-aged flexible multi-ply UHMWPE-based composite armour inserts
  • Authors: L Gilson, F Coghe, A Bernardi, A Imad, L Rabet
  • Year: 2023
  • Citations: 6
Paper Title: Experimental investigation on the perforation behaviour of sandwich panels with hybrid composite face sheets and cellular aluminium core using quasi-static and instrumented …
  • Authors: Imad Derbala, Djalel Eddine Tria, Lionel Gilson, Larbi Hemmouche, Rafik Halimi
  • Year: 2023
  • Citations: 2
Paper Title: Numerical investigation of the dynamic behavior of a Ti/TiB functionally graded material using Split Hopkinson Pressure Bar test
  • Authors: Kada Zemani, Abdelghani May, Lionel Gilson, Djalel Eddine Tria
  • Year: 2022
  • Citations: 7