Dr Emma Li
- Lecturer in Responsible & Interactive Artificial Intelligence (School of Computing Science)
email:
Liying.Li@glasgow.ac.uk
Lilybank Gardens, Glasgow, Glasgow City, Scotland, United Kingdom, G12 8RZ
Biography
Dr Emma Li is a Lecturer in Responsible & Interactive Artificial Intelligence at the School of Computing Science, a supervisor of the UKRI Centre for Doctor Training in Socially Intelligent Artificial Agents (Social AI CDT), and an affiliated staff at School of Engineering. Before joining University of Glasgow, she was a senior lecturer at Northumbria University at Newcastle, UK.
She leads the Interactive and Trustworthy AI lab working on human-robot interaction and cyber security. Our research goal is to accelerate human-robot partnership into industry and society. She has successfully delivered 6 projects and published 50 peer reviewed papers. Her recent work on robot behaviour-based user authentication received a best workshop paper award in IEEE INFOCOM 2021.
Her lab has access to the state-of-the-art industrial tele-robotic arm platform (e.g., Franka Emika and UR3e Robots) and mobile robot platform (e.g., HUSKY and Jackal unmanned ground vehicles) at University of Glasgow. She is interested in data-driven AI design and experiments in robotics systems for a variety of applications, e.g., social & health care, industry, service, etc.
Google Scholar Page: https://scholar.google.com/citations?user=kaDrMqwAAAAJ&hl=en
Research interests
Research interests:
- Human-robot interaction for a variety of applications, e.g., social & health care, industry, service, etc. The goal is to accelerate human-robot partnership into industry and society.
- Privacy protection and trustworthy robotic system using behaviour biometrical information to enhance the trust between human and robots/IoT devices.
Grants
“Human-Autonomy-Infrastructure Teaming”, University of Glasgow Reinvigorating Research Fund, £100,000, Co-I
Supervision
If you're interested in the following directions and want to work with me via final year project (BEng and MSc) and PhD project, please send me an email.
- Human-robot interaction for a variety of applications, e.g., social & health care, industry, service, etc. The goal is to accelerate human-robot partnership into industry and society.
- Privacy protection and trustworthy robotic system using behaviour biometrical information to enhance the trust between human and robots/IoT devices.
Here are some helpful information for your PhD application, i.e., the school PhD Projects and Funding opportunities and the recent Studentship Information.
Current PhD students:
- Leong, Rech
Quality Assessment and Trustworthy Artificial Intelligence
- Dafas, Haralambos
Improving Human and Quadruped Robot Interaction - Diao, Yufeng
Task-Oriented Communication for Edge Intelligence Enabled Connected Robotics Systems - Meng, Zhen
Ultra-Reliable and Low-Latency Communications for Real-Time Wireless Control
- Alfahad, Saleh Abdullah M
Engineering Edge Computing with Predictive Intelligence - Diao, Yufeng
Task-Oriented Communication for Edge Intelligence Enabled Connected Robotics Systems - Li, Xicheng
Container-Based Microservice NFV - Mulkana, Sundas Rafat
Behavioural Biometric Authentication for Cyber Physical Systems - Sheng, Hongyun
Tackle Human Gait Recognition Problems with 3D Point Clouds - Xu, Xiangmin
Robust Machine Learning for Autonomous Systems