Prof Mary He
| Post Nominals | BEng, MSc, PhD, FHEA, SIEEE |
|---|---|
| Biography | Hongmei (Mary) He (FHEA, SIEEE) is Chair 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, her research focuses on Applied Artificial Intelligence for various domains at several 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. Recently, her research paper, "The Challenges and Opportunities of Human-Centred Artificial Intelligence for Trustworthy Robots and Autonomous Systems", published in IEEE Transactions on Cognitive and Developmental Systems, has been in finalist of the best paper awards, assessed by EPSRC TAS hub. Her research is primarily funded by EPSRC, Innovation UK, EU grant, 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, Cognitive Robotics Technincal Committee member in IEEE RAS, 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. |
| Research Interests | Artificial Intelligence, Machine Learning (e.g., Neural Networks, Linguistic Decision Making, Support Vector Machine, Bayes Classifier, etc), Transparency and Interpretability of AI and Evolutionary Algorithms. Trustworthy Robotics and Autonomous Systems with respect to Safety, Security, System Health, Human-Robotics Interaction and Ethical Decision Making. Cognitive Cybersecurity and Cognitive Robotics System Performance and Resource Optimisation Application domains: Healthcare and Transport |
| Teaching and Learning | Articial Intelligence, MSc, module lead Mobile Robotics, MSc, module lead MSc dissertation coordination for four programmes |
| PhD Supervision Availability | Yes |
| PhD Topics | 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 |