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Nicholas Cummins

Dr Nicholas Cummins

Lecturer in AI for speech analysis

Research interests

  • Computer science

Contact details

Biography

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. He is an EDI Theme Representative at the NIHR Maudsley BRC.

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

Teaching

  • 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.

    Research

    PONS Centre banner brain scan
    NIHR HealthTech Research Centre in Brain Health

    National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.

    News

    Exploring the role of AI in the Armed Forces

    Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...

    Attendees at the 'Exploring AI in the Armed Forces' event

    How can speech recorded with smartphones help monitor depression?

    Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

    speech recording RADAR

    Events

    15Jan

    Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health

    A seminar discussing the translation of AI-generated speech analysis into clinical practice.

    29May

    AI in Research

    What is the role of AI in scientific and medical research?

    Please note: this event has passed.

    23Jun

    Partnering for Change: AI predicting mental health - possible futures

    Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change

    Please note: this event has passed.

    23Feb

    The potential of smartphone voice recordings to monitor depression severity

    The third RADAR-CNS online seminar will present initial findings and insights from a large multilingual longitudinal speech health study.

    Please note: this event has passed.

      Research

      PONS Centre banner brain scan
      NIHR HealthTech Research Centre in Brain Health

      National Institute for Health and Care Research (NIHR) HealthTech Research Centre, designed to accelerate the advancement of cutting-edge technology to better understand brain health and ageing and help people live healthier lives for longer.

      News

      Exploring the role of AI in the Armed Forces

      Earlier this week, academics came together with charity leaders, industry members and civil servants for an event at King’s College London that explored...

      Attendees at the 'Exploring AI in the Armed Forces' event

      How can speech recorded with smartphones help monitor depression?

      Researchers from the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London are using novel methods to analyse speech recorded in...

      speech recording RADAR

      Events

      15Jan

      Towards the Clinical Adoption of Voice and Speech as Digital Biomarkers of Mental Health

      A seminar discussing the translation of AI-generated speech analysis into clinical practice.

      29May

      AI in Research

      What is the role of AI in scientific and medical research?

      Please note: this event has passed.

      23Jun

      Partnering for Change: AI predicting mental health - possible futures

      Part of the ESRC Centre for Society and Mental Health Festival 2022: Partnering for Change

      Please note: this event has passed.

      23Feb

      The potential of smartphone voice recordings to monitor depression severity

      The third RADAR-CNS online seminar will present initial findings and insights from a large multilingual longitudinal speech health study.

      Please note: this event has passed.