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Nicholas (Nick) Cummins is a lecturer in AI for speech analysis for health at the Department of Biostatistics and Health Informatics at King’s College London. Nick’s current research interests include speech processing, affective computing and multisensory signal analysis. He is fascinated by the application of machine learning techniques to improve our understanding of different health conditions and mental health disorders in particular. Nick is actively involved in RADAR-CNS project in which he assists in the management of Work Package 8: Data Analysis & Biosignatures.

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, he was a postdoctoral researcher at the Chair of Complex and Intelligent Systems at the University of Passau, Germany. Most recently, he was a habilitation candidate at the Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg, also in Germany. During his time in Germany, he was involved in the DE-ENIGMA, RADAR-CNS, TAPAS and sustAGE Horizon 2020 projects. He also wrote and delivered courses in speech pathology, deep learning and intelligent signal analysis in medicine.

Research interests

  • Speech processing
  • Artificial Intelligence
  • Machine Learning
  • Affective computing
  • Behavioural Signal Processing
  • Multisensory signal analysis
  • Digital phenotyping


  • Artificial Intelligence in Health Analytics
  • Machine Learning in Biostatistics & Health Informatics

Expertise and public engagement

Nick is an external advisor on the National Science Foundation of China (NSFC) funded project, “Diagnosis of Depression by Speech Signals” (grant No.31860285), led by Dr. Xiaoyong Lu, Northwest Normal University Lanzhou, China.

He has (co-)authored over 100 conference and journal papers leading to over 1900 citations (h-index: 23). He is a frequent reviewer for IEEE, ACM and ISCA journals and conferences as well as serving on program and organisational committees. He is a member of ACM, ISCA, IEEE and a full member of the IET.