Dr. Nicholas Cummins


Wiss. Mitarbeiter

Tel.: +49 (0) 821 598 - 2907
Room: 317, Alte Universit├Ąt (Eichleitnerstr. 30, F2)

I was awarded my PhD in Electrical Engineering from UNSW Australia in February 2016 for my thesis ‘Automatic assessment of depression from speech: paralinguistic analysis, modelling and machine learning’.

My current research interests include multisensory signal analysis, affective computing, and computer audition. I am fascinated by the application of machine learning techniques to improve our understanding of different health conditions. I am particularly interested in applying these techniques to mental health disorders.

I am actively involved in the RADAR-CNS, DE-ENIGMA, TAPAS and sustAGE Horizon 2020 projects, in which my roles include contributions towards management of the technical work packages. I enjoy working towards solving real-world problems in health and wellbeing as part of these inter-disciplinary teams.

I have been lecturing since autumn 2017, writing and delivering courses in speech pathology, deep learning and intelligent signal analysis in medicine.

I am also 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.

I have (co-)authored over 70 conference and journal papers that have more than 1000 citations (h-index: 18). I am a frequent reviewer for IEEE, ACM and ISCA journals and conferences as well as serving on program and organisational committees. I am also a member of ACM, ISCA, IEEE and the IET.

Selected publications


Learn more about my research here.

See my Google Scholar profile here.

See projects I have open for supervision here.