Nicholas Cummins

Dr. Nicholas Cummins is a Lecturer in AI for Speech Analysis at King’s College London, specializing in applying machine learning to health conditions, particularly mental health disorders. He holds roles in the Department of Biostatistics & Health Informatics and is affiliated with the NIHR Maudsley Biomedical Research Centre. His research focuses on speech processing, affective computing, and digital phenotyping, with projects like RADAR-CNS and DE-ENIGMA. He earned his PhD from UNSW Australia (2016) and conducted postdoctoral work in Germany before becoming habilitation candidate at the University of Augsburg.

Education:

• PhD in Electrical Engineering, UNSW Australia (2016)
• Habilitation Candidate, Chair of Embedded Intelligence for Healthcare, University of Augsburg

Research Interests:

• Machine learning for mental health monitoring
• Speech-based biomarkers for depression and psychosis
• Wearable device integration for health tracking
• Multilingual speech analysis

Key Projects:

• RADAR-CNS: Data analysis for neurological conditions
• DE-ENIGMA, TAPAS, sustAGE (Horizon 2020)
• National Science Foundation of China project on speech-based depression diagnosis

Grants & Awards:

• Over 100 peer-reviewed publications (h-index: 23)
• NSFC-funded project on speech analysis for depression
• Reviewer for IEEE, ACM, ISCA journals

Labs & Teams: Involved in the NIHR HealthTech Research Centre in Brain Health and the EMBRACE initiative for maternal/child health with AI.