Prof Mary He

School of Science, Engineering & Environment

Photo of Prof Mary He

Known as

Mary He

Contact Details

The Third Floor, SEE Building
School of Science, Eng. and Environments
07913629087

Current positions

Professor in A.I. for Robotics

Biography

Hongmei (Mary) He (FHEA, SIEEE) is Professor of AI for Robotics and Autonomous Systems at the School of Science, Engineering, and Environment, University of Salford, Manchester, UK. She received her PhD in computer science from Loughborough University, UK in 2006. After her PhD, she worked at various universities such as University of Bristol, Ulster University, University of Kent, Cranfield University, and De Montfort University. Before coming to the UK, she was a senior embedded systems engineer at Motorola Design House in China. Her current research focuses on human-centred AI for trustworthy robotics and autonomous systems (TRAS) with respect to Safety, Security, Human-Robotics Interaction, System Health, System Performance and Compliance.
Her research is primarily funded by EPSRC, Innovation UK, the Ministry of Defence and industry. She is a member of the EPSRC Peer Review College and was on the expert panel of the EU Horizontal Robotics Research &Innovation programme. Prof He intends to push the bounary of AI applications beyond the Robotics and Autonomous Systems.

Prof He is the Salford Turing Liaison Academic lead for Turing University Network. She is the Chair of the IEEE UK & Ireland RAS Chapter, and the Chair of the AI and Edge Computing for TRAS Task Force in the Adaptive Dynamic Programming and Reinforcement Learning Technical Committee (ADPRLTC) of the IEEE Computational Intelligence Society.

Areas of Research

Artificial Intelligence, Machine Learning, Linguistic Decision Making , Transparency and Interpretability of AI and Evolutionary Algorithms.

Trustworthy Robotics and Autonomous Systems with respect to Safety, Security and Human-Robotics Interaction.

Cognitive Cybersecurity and Cognitive Robotics

System Performance and Resource Optimisation

Application domains: Healthcare and Transport

Areas of Supervision

Machine Learning for Health Data Analysis
Emotion Analysis and Pattern Recognition
Trusted Human-Robot Interaction
Cognitive Cybersecurity
Cognitive Robotics
Homecare robotics
AI and Robotics Ecosystems

Teaching

Articial Intelligence, MSc, module lead

Mobile Robotics, MSc, module lead

MSc dissertation coordination for four programmes

Qualifications and Recognitions

Qualifications
  • PhD in Computer Science

    2003 - 2006
  • MSc in Multimedia and Internet Computing

    2002 - 2003