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Dr. Muhammad Usman Shoukat | Digital Twin Awards | Best Researcher Award 

Dr. Muhammad Usman Shoukat, Wuhan University of Technology, China

Muhammad Usman Shoukat, is a dedicated Ph.D. student at the School of Automotive Engineering, Wuhan University of Technology, China, specializing in Vehicle Engineering. With a strong academic background, he previously completed his Master of Engineering in Control Engineering at Sichuan University of Science and Engineering and conducted research at Jilin University in Control Science and Engineering. His research interests encompass a range of cutting-edge technologies, including digital twins, model predictive control, human-machine interfaces, autonomous vehicles, brain-computer interfaces, and smart-home and smart-grid systems. Usman has gained practical experience through internships, working as a site engineer at Bahria Town Ltd. and as an assistant engineer at Liaoning Deman Power Project Engineering Ltd. He is passionate about running, badminton, computing, and reading books, which reflect his commitment to personal growth and well-being.

Professional Profile:

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Summary of Suitability for Best Researcher Award: Muhammad Usman Shoukat

Muhammad Usman Shoukat has demonstrated exceptional research capabilities in the fields of digital twins, autonomous vehicles, and human-machine interfaces. His publications, including “Smart home for enhanced healthcare: exploring human machine interface oriented digital twin model” and “Evaluate the connected autonomous vehicles infrastructure using digital twin model based on cyber-physical combination of intelligent network,” reflect innovative applications of advanced technologies in critical areas of modern engineering.

🎓 Education

  • Wuhan University of Technology
    Doctor of Philosophy (Ph.D.) in Vehicle Engineering
    September 2021 – July 2025
    Medium: English
    Department: School of Automotive Engineering
    Status: Continuing
  • Jilin University
    Research in Control Science and Engineering
    September 2020 – August 2021
    Medium: English
    Department: College of Communication Engineering
    Status: Completed
  • Sichuan University of Science and Engineering
    Master of Engineering in Control Engineering
    September 2017 – July 2020
    Medium: English
    Department: School of Automation & Information Engineering
    Status: Completed

💼 Work Experience

  • Bahria Town Ltd.
    Site Engineer
    May 2017 – August 2017

    • Completed an internship project at Icon Tower, Karachi, Pakistan, during his Bachelor’s education.
  • Liaoning Deman Power Project Engineering Ltd.
    Assistant Engineer
    July 2016 – September 2016

    • Participated in an internship project in Power Transmission during his Bachelor’s education.
  • Millat Group of College
    Assistant Science Teacher
    June 2011 – November 2012

    • Engaged in a project as part of his Higher Secondary School education.

🏆 Achievements and Awards

  • Excellence in Research Award
    Awarded at Jilin University for outstanding contributions to control science research.
  • Top Performer in Master’s Program
    Recognized for achieving a high GPA in the Master of Engineering program at Sichuan University of Science and Engineering.
  • Best Intern Award
    Received during the internship at Bahria Town Ltd. for exemplary performance as a Site Engineer.
  • Community Service Award
    Honored for volunteering and making significant contributions as an Assistant Science Teacher at Millat Group of College.

Publication Top Notes:

AI-based object detection latest trends in remote sensing, multimedia and agriculture applications

CITED:52

Autonomous driving test method based on digital twin: A survey

CITED:44

A hybrid approach to forecast the COVID-19 epidemic trend

CITED:43

Smart home for enhanced healthcare: exploring human machine interface oriented digital twin model

CITED:41

Advance hybrid medical watermarking algorithm using speeded up robust features and discrete cosine transform

CITED:38

 

 

Dr. Muhammad Usman Shoukat | Digital Twin Awards | Best Researcher Award

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