Dr. Nicholas Cummins
Lecturer in AI for speech analysis
Dr Nicholas (Nick) Cummins is a Lecturer in AI for Speech Analysis for Healthcare. Nick is an electrical engineer with 10+ years of research experience. He is fascinated by the application of speech science and technologies to help assess, manage and improve our understanding of health conditions, with a focus on mental health. His current research is focused on the development of evidence-based collection and analytical frameworks to enable the integration of speech analytics into clinical settings.
Nick was awarded his PhD in electrical engineering from UNSW Australia in February 2016 for his thesis ‘Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning’. After completing his PhD, Nick was a postdoctoral researcher at the Chair of Complex and Intelligent Systems at the University of Passau, Germany. Following this, he was a habilitation candidate at the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, also in Germany. He has been involved in multinational digital health focused research programmes; DE-ENIGMA, RADAR-CNS, TAPAS and sustAGE projects. He also written and delivered courses in AI for Healthcare Analytics, speech pathology, deep learning and intelligent signal analysis in medicine.