Huyujiao Associate professor

• Department: School of Data Science and Artificial Intelligence
• Gender: female
• BirthDate: 1993-12-15
• Career: Associate professor
• Degree: PhD
• Academic Credentials: PhD
• Graduate School: Northwestern Polytechnical University
• Tel:
• Email: huyujiao@chd.edu.cn
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• Education experience:

  • Ph.D. in Computer Science, Northwestern Polytechnical University, 2016–2021
     (Joint Ph.D. program with the School of Computing, National University of Singapore, 2018–2020)

  • B.Eng. in Computer Science, Northwestern Polytechnical University, 2012–2016

  
  

Yujiao Hu is an Associate Professor and a supervisor for master’s and Ph.D. students at the School of Data Science and Artificial Intelligence, Chang’an University. She was selected for the Chang’an University Young Talent Recruitment Program. Dr. Hu leads or plays a key role in several national and provincial research projects. Her work focuses on intelligent collaboration of unmanned systems and intelligent scheduling technologies for computing-network convergence. Many of her research outcomes have been successfully applied in key national industries.

Dr. Hu has published over 20 high-level academic papers, holds more than 10 authorized or pending invention patents, and has led the development of 3 industry standards. She serves in important academic roles within leading organizations such as IEEE, CCF, and the China Association for Science and Technology. She has received multiple academic awards and has been selected for talent programs including Jiangsu Province’s “Entrepreneurship and Innovation Doctor Program” and the Jiangsu Talent Collaborative Innovation Alliance.

My research focuses on embodied intelligence, large models, intelligent collaboration of unmanned aerial/ground vehicles, digital twins, and edge computing. 

Specifically, I am dedicated to addressing key challenges and critical issues in AI-empowered unmanned systems. My work targets the prominent difficulties in efficiency and limited computing power faced by unmanned swarms, with a focus on advancing task-driven intelligent collaboration technologies for unmanned swarms, as well as innovative scheduling of computing-network resources to support practical applications of unmanned systems in complex mission scenarios.

I sincerely welcome undergraduate, master’s, and Ph.D. students who are passionate about these research areas and eager to grow and challenge themselves on the scientific path. No matter your starting point — as long as you have enthusiasm and a sense of responsibility — I am committed to providing patient guidance and working alongside you. Our team offers excellent lab facilities, rich research resources, and opportunities for both domestic and international collaboration. Most importantly, we will strive together to ensure you achieve meaningful results — with papers, projects, and personal growth along the way. If you are interested, feel free to contact me at huyujiao@chd.edu.cn. I look forward to hearing from you!

• Research on intelligent collaborative models and algorithms for unmanned aerial and ground vehicles in military and civilian scenarios

• Large-model-driven construction and real-time updating methods for digital twins of unmanned aerial and ground vehicles

• Research on intelligent scheduling models and methods for unmanned systems in the context of low-altitude economy

• Research on computing-network integrated intelligent scheduling strategies and mechanisms empowered by large models

https://scholar.google.com.hk/citations?hl=zh-CN&user=yJnP8wsAAAAJ

• Associate Professor, Chang’an University; Master’s and Ph.D. Supervisor, 2025–present

• Associate Research Fellow, Core Scientific Innovation Post, Purple Mountain Laboratories, 2024–2025

• Assistant Research Fellow, Core Scientific Innovation Post, Purple Mountain Laboratories, 2021–2024