School of Mechanical, Electrical and Manufacturing Engineering


Yasmin is currently a PhD Research student at the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University. She completed her BSc in Telecommunications Engineering from the Canadian University of Dubai in 2015. She later came to Loughborough University, where she completed her MSc in Mobile Communications in 2016. She worked as a Research Associate in the Computer Engineering department at Khalifa University in the UAE for six months before embarking on her PhD in Electronic, Electrical and Systems Engineering in October 2017 at Loughborough.

Yasmin's current research focuses on the interpretation of breathing signals as an augmentative and alternative voice communication solution for speech impaired individuals. She is working under the supervision of Dr. Sijung Hu and Dr. Kaddour Bouazza-Marouf, and is funded by the Wolfson School.

Yasmin's research interests include artificial intelligence in applications of alternative and augmentative communication and assistive technologies.

Respiration Interpretation, an Alternative and Effective Voice Communication Solution.

Augmentative and alternative communication(AAC) encompasses a wide range of methods aiding individuals with complex communication needs. Predominant AAC methods rely on the interpretation of purposeful gestures. A different AAC approach, based on encoded modulated breathing, is currently being researched at Loughborough University.

Yasmin’s research targets the usage of modulated breathing signals to encode personalised messages in an interactive manner between the users and the system. The research looks at the modalities of signal detection and the integration of machine learning with a validated platform for improved ease of use and faster communication.