Dr Jiaqi Ye PhD

• PhD in Electronic, Electrical and Systems Engineering, University of Birmingham, 2022
• MRes in Electronic, Electrical and Systems Engineering, University of Birmingham, 2017
• BEng (1st Class Honours), Electronic and Electrical Engineering, University of Birmingham, 2015
• BEng in Electronic and Information Engineering, Huazhong University of Science and Technology (China), 2015

Dr Jiaqi Ye received two BEng degrees in 2015, from Huazhong University of Science and Technology in China and from the University of Birmingham, and completed his MRes and PhD degrees at the University of Birmingham in 2017 and 2022.

Jiaqi has a background in electronic, electrical, and systems engineering. His PhD, funded by a Horizon 2020 project, focused on AI-driven multi-sensor fusion, particularly laser and camera systems, applied for high-precision measurement and inspection in safety-critical railway environments. His PhD research resulted in five first-authored publications and culminated in a passing PhD viva with “no corrections” in 2022, a distinction awarded to very few candidates in Engineering.

Building on this foundation, Jiaqi joined the Birmingham Robotics Institute in 2022, extending his research to integrate AI and advanced sensing technologies with modern robotics for smart healthcare and industrial automation. He was the winner of the Early Career Competition and the Principal or Co-Investigator on several EPSRC-funded projects in robotics and AI.

In 2025, Jiaqi was appointed Assistant Professor in Robotics and AI in the Department of Mechanical Engineering at the University of Birmingham. His research interests include laser and camera systems, machine vision, deep learning algorithms, and modern robotics. With application experience across transport, healthcare, and manufacturing, his work aims to develop universal perception frameworks that enable robust, accurate perception and perception-driven planning for complex engineering processes.

• LH Telerobotics, Telepresence and Augmented Reality

From safer surgery to sustainable factories and net-zero supply chains, we increasingly rely on robots to do work that is difficult, repetitive, or chronically understaffed. To be truly effective, these robots must perceive, plan, and act with human-level adaptability in open-world environments involving never-seen objects, shifting lighting, clutter, domain shift, and multi-task requirements. If you are highly motivated to pursue a PhD addressing these challenges, you are welcome to join Jiaqi’s research team.

Dr Jiaqi has experience supervising or co-supervising PhD, Master's, and undergraduate research students within the School of Engineering.

Scholarships may be available throughout the year. Please refer to the University’s Doctoral Research Scholarships and funding page for details.

Dr Jiaqi has cross-domain research experience in engineering, including developing the first-of-its-kind 3D scanner for railway component measurement and inspection, and robotic platforms for product quality inspection and patient monitoring in healthcare. His research areas include:

• Deep Learning for Computer Vision
• Multi-sensor Fusion and Calibration
• 3D Modelling and Reconstruction
• Robotic Perception and Automation
• High-precision Measurement and Inspection