https://www.hlt.inesc-id.pt/wiki/api.php?action=feedcontributions&feedformat=atom&user=U020720 2026-04-28T02:48:04Z User contributions MediaWiki 1.41.0 https://www.hlt.inesc-id.pt/wiki/index.php?title=John_Mendon%C3%A7a&diff=8617 2024-09-04T15:26:29Z

<p>U020720: </p> <hr /> <div>&lt;Inesc-id what='card' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;<br /> <br /> <br /> 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 [https://tecnico.ulisboa.pt/pt/ IST]. He obtained his MSc degree in 2020 with the thesis &quot;Automatic Detection of Profile Features&quot;. 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 CMU Portugal Affiliate 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, having co-authored several peer-reviewed publications in this field. <br /> <br /> == Contacts ==<br /> <br /> * '''John Mendonça'''<br /> :- '''Email''': John.mendonca@inesc-id.pt<br /> :- '''Role''': Junior Researcher | PhD Student<br /> :- Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico<br /> :- Rua Alves Redol, 9, 1000-029 Lisboa, Portugal<br /> :- inesc-id.pt | tecnico.ulisboa.pt<br /> <br /> == Research ==<br /> <br /> &lt;Inesc-id what='publications' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;<br /> <br /> == Academic Activities ==<br /> <br /> * PhD Student: PDEEC <br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/PF364511132646/2020-2021/2-semestre Spoken Language Processing]<br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/LN211/2024-2025/1-semestre Natural Language]</div>

U020720 https://www.hlt.inesc-id.pt/wiki/index.php?title=John_Mendon%C3%A7a&diff=8616 2024-09-04T15:25:26Z

<p>U020720: </p> <hr /> <div>&lt;Inesc-id what='card' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;<br /> <br /> <br /> 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 [https://tecnico.ulisboa.pt/pt/ IST]. He obtained his MSc degree in 2020 with the thesis &quot;Automatic Detection of Profile Features&quot;. 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 CMU Portugal Affiliate 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, having co-authored several peer-reviewed publications in this field. <br /> <br /> == Contacts ==<br /> <br /> * '''John Mendonça'''<br /> :- '''Email''': John.mendonca@inesc-id.pt<br /> :- '''Role''': Junior Researcher | PhD Student<br /> :- Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico<br /> :- Rua Alves Redol, 9, 1000-029 Lisboa, Portugal<br /> :- inesc-id.pt | tecnico.ulisboa.pt<br /> <br /> == Research Interests ==<br /> <br /> 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. <br /> <br /> == Academic Activities ==<br /> <br /> * PhD Student: PDEEC <br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/PF364511132646/2020-2021/2-semestre Spoken Language Processing]<br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/LN211/2024-2025/1-semestre Natural Language]</div>

U020720 https://www.hlt.inesc-id.pt/wiki/index.php?title=John_Mendon%C3%A7a&diff=8615 2024-09-04T15:20:54Z

<p>U020720: </p> <hr /> <div>&lt;!--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 [https://tecnico.ulisboa.pt/pt/ IST]. He obtained his MSc degree in 2020 with the thesis &quot;Automatic Detection of Profile Features&quot;. 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.<br /> <br /> --!&gt;<br /> == Contacts ==<br /> <br /> * '''John Mendonça'''<br /> :- '''Email''': John.mendonca@inesc-id.pt<br /> :- '''Role''': Junior Researcher | PhD Student<br /> :- Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico<br /> :- Rua Alves Redol, 9, 1000-029 Lisboa, Portugal<br /> :- inesc-id.pt | tecnico.ulisboa.pt<br /> <br /> == Research Interests ==<br /> <br /> 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. <br /> <br /> == Academic Activities ==<br /> <br /> * PhD Student: PDEEC <br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/PF364511132646/2020-2021/2-semestre Spoken Language Processing]<br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/LN211/2024-2025/1-semestre Natural Language]<br /> <br /> <br /> &lt;Inesc-id what='person' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;</div>

U020720 https://www.hlt.inesc-id.pt/wiki/index.php?title=John_Mendon%C3%A7a&diff=8614 2024-09-04T15:19:43Z

<p>U020720: </p> <hr /> <div>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 [https://tecnico.ulisboa.pt/pt/ IST]. He obtained his MSc degree in 2020 with the thesis &quot;Automatic Detection of Profile Features&quot;. 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.<br /> <br /> == Contacts ==<br /> <br /> * '''John Mendonça'''<br /> :- '''Email''': John.mendonca@inesc-id.pt<br /> :- '''Role''': Junior Researcher | PhD Student<br /> :- Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico<br /> :- Rua Alves Redol, 9, 1000-029 Lisboa, Portugal<br /> :- inesc-id.pt | tecnico.ulisboa.pt<br /> <br /> == Research Interests ==<br /> <br /> 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. <br /> <br /> == Academic Activities ==<br /> <br /> * PhD Student: PDEEC <br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/PF364511132646/2020-2021/2-semestre Spoken Language Processing]<br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/LN211/2024-2025/1-semestre Natural Language]<br /> <br /> <br /> &lt;Inesc-id what='person' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;</div>

U020720 https://www.hlt.inesc-id.pt/wiki/index.php?title=John_Mendon%C3%A7a&diff=8613 2024-09-04T15:19:12Z

<p>U020720: </p> <hr /> <div>&lt;Inesc-id what='person' id='aa505444-9f9d-42a3-b32c-02a0090f37b7'&gt;&lt;/Inesc-id&gt;<br /> <br /> 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 [https://tecnico.ulisboa.pt/pt/ IST]. He obtained his MSc degree in 2020 with the thesis &quot;Automatic Detection of Profile Features&quot;. 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.<br /> <br /> == Contacts ==<br /> <br /> * '''John Mendonça'''<br /> :- '''Email''': John.mendonca@inesc-id.pt<br /> :- '''Role''': Junior Researcher | PhD Student<br /> :- Human Language Technologies Lab, INESC-ID | Instituto Superior Técnico<br /> :- Rua Alves Redol, 9, 1000-029 Lisboa, Portugal<br /> :- inesc-id.pt | tecnico.ulisboa.pt<br /> <br /> == Research Interests ==<br /> <br /> 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. <br /> <br /> == Academic Activities ==<br /> <br /> * PhD Student: PDEEC <br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/PF364511132646/2020-2021/2-semestre Spoken Language Processing]<br /> <br /> * Teaching Assistant: [https://fenix.tecnico.ulisboa.pt/disciplinas/LN211/2024-2025/1-semestre Natural Language]<br /> <br /> == Publications ==</div>

U020720