Dr. Bo Liu

Reader (Associate Professor), University of Glasgow, UK.

Research interests

AI-driven electronic (analog/RF IC, antenna, filter, MEMS) design methodology, machine learning, data-driven optimization.

Professor Muhammad Imran

Professor in Communication Systems, University of Glasgow, UK.

Dean, University of Glasgow – University of Electronic Science and Technology China (Systems Power and Energy).

Research interests

As Head of Communications Sensing and Imaging (CSI) research group and Director of Glasgow UESTC Centre of Educational Development and Innovation, University of Glasgow, he leads research in wide-ranging technological areas such as communication theory, wireless communications, energy efficiency, self organising networks and others.

Dr. Mobayode O. Akinsolu

Senior Lecturer in Electronic and Communication Engineering, Wrexham Glyndŵr University, UK.

Research interests

Microwave device design using AI techniques.

PhD Student Recruitment:

AIDAC is welcoming talented PhD students. Interested candidates should satisfy PhD student entry requirements of University of Glasgow, including English language requirements. For academic inquiries, please contact Dr. Bo Liu ( for details.


Students/Researchers with the following backgrounds are extremely welcome:


  • AI background: You will be the core of the team. Instead of using mathematical benchmark problems, you will use real-world electronic design optimization/synthesis/modeling problems to identify the challenges of existing AI techniques and generate novel and high-performance AI algorithms ready for EE industry use.


  • EE background: For many design problems, the power of AI techniques alone is insufficient and design knowledge must be an equal partner to form a mixed intelligence approach. You will be the core of such novel techniques. You will also be armed with AI knowledge and realize them in real-world analog IC/biomedical system/antenna/filter/diplexer/MEMS/… design, being the first generation of electronic design engineers to apply such AI techniques.


  • Software engineering background: The successful AI-driven design methodologies will be transferred to intelligent CAD tools. You will be the person to embed the new algorithms into renowned CAD tools, and millions of engineers will use your code. You will also develop our CAD tools, which will be used by leading international design teams. Proposing novel human-computer interaction methods with electronic engineers will also be your playground.