John Mendonça is a Junior Researcher of the HLT (Human Language Technologies Laboratory) and a PhD Student of the Doctoral Programme in Electrical and Computer Engineering of IST. He obtained his MSc degree in 2020 with the thesis "Automatic Detection of Profile Features". In it, he applied speech processing techniques, more specifically in speaker recognition and paralinguistics, for the collection of crowdsourced and health related datasets. More recently he joined a PhD Programme under the MAIA project, a joint CMU/INESC-ID/IT/Unbabel collaboration for Intelligent AI Agents in chatbots. His PhD work is closely related to conversational quality estimation.
In 2020, he joined the HLT team for his Master Thesis Research. During this time, he led the HLT Team's contribution to the ComParE 2020 Breathing sub-challenge, pertaining the estimation of breathing signals. In 2021, his research focus shifted to Natural Language Processing (NLP), with special emphasis in conversational agent evaluation metrics.