Liadh Kelly is an Assistant Professor in the Department of Computer Science at Maynooth University where she supervises and teaches on topics in the space of multimedia technologies and data access and retrieval. She was previously a research fellow, and lectured on topics in information technology and retrieval. She holds BSc, MSc (Res) and PhD degrees. She is an FI in the ADAPT SFI Research Centre for AI Driven Digital Content Technology, NS in the SFI Centre for Research Training in Foundations of Data Science and NS in the SFI Centre for Research Training in Advanced Networks for Sustainable Societies. She is an affiliate of the Maynooth University Assisting Living and Learning, Hamilton and Human Health Institutes. Her research lies in the applied artificial intelligence space and revolves around intelligent search, ubiquitous computing, and multimodal information access and retrieval, with a focus on context sensitive retrieval and evaluation methodology.
applied artificial intelligence - intelligent search, ubiquitous computing, and multimodal information access and retrieval - context sensitive retrieval and evaluation methodology
Google scholar profile
Google scholar profile
<this position is no longer available> PhD position:
topic: mental wellness, multimodal lifelogging, and deep learning
We have funding available for a 4-year PhD postgraduate studentship which includes a stipend of €16,000 per annum and funding for annual student fees in the Computer Science Department, Maynooth University (Ireland) under the supervision of Dr. Liadh Kelly and Prof. Tom Naughton. The successful candidate will also be affiliated to the Hamilton Institute, Maynooth University and the SFI Adapt Research Centre which provide access to training opportunities and a large network of researchers. This PhD offers a solid career pathway through formalised training & development, expert supervision and exposure to top specialists. Project details follow. Informal enquiries can be sent to Liadh and Tom.
Mental health is acknowledged as a leading global health concern. This PhD project focuses on auto-understanding individuals’ mental wellness and wellness-related requirements. The project will investigate the potential to classify an individual’s mental wellness and provide early indicators of declining mental wellness using personal contextual indicators (e.g., geo-location, people around you, mobile activity, biometric response) as an individual engages in daily life activities. The research will analyse the personal contextual indicators using deep learning approaches. In particular, the effectiveness of these approaches in classification of individuals’ wellness in different scenarios and times will be explored.
The ideal candidate will be a motivated and enthusiastic person with the following skills and qualifications:
- Primary degree (BSc/MSc) in Computer Science or a related discipline.
- Received (or on track to receive) first-class honours or high second-class honours in their primary degree.
- Strong programming and analytical thinking skills.
- Excellent attention to detail and problem-solving abilities.
- Excellent interpersonal skills.
- Good communication skills (written and verbal).
- Data analysis and machine learning knowledge is desirable.
This PhD position is fully funded for up to 4-years as follows:
- Tax free stipend of €16,000 per annum.
- Annual student fees.
Applications are invited from those who have achieved (or are on track to achieve) a first-class honours or a high second-class honours degree in Computer Science or a related discipline.
To apply for this PhD position, please email the following details to email@example.com and firstname.lastname@example.org
- Detailed curriculum vitae.
- An example of technical report writing e.g., publication or final year project report.
- Transcripts of degrees.
- The name and email contacts of two academic referees.
- A cover letter (max 500 words) motivating your application for the PhD topic.
- For international applicants, please include your English language proficiency certificate.
Peer Reviewed Journal
|2018||Hanna Suominen, Liadh Kelly, Lorraine Goeuriot (2018) 'The Scholarly Influence of the CLEF eHealth Initiative by the Conference and Labs of the Evaluation Forum: Review and Bibliometric Study of the 2012-2017 Outcomes'. Journal of Medical Information Retrieval Research Protocols, . [Full-Text]|
|2018||Lorraine Goeuriot, Gareth J.F. Jones, Liadh Kelly, Johannes Leveling, Mihai Lupu, Joao Palotti, Guido Zuccon (2018) 'An Analysis of Evaluation Campaigns in ad-hoc Medical Information Retrieval: CLEF eHealth 2013 and 2014'. Information Retrieval Journal, . [DOI] [Full-Text]|
|2022||Oteiza T.P.; Mooney P.; Kelly L. (2022) IEEE ISC2 2022 - 8th IEEE International Smart Cities Conference Smart City Data in Urban Wellbeing Estimation [Full-Text]|
|2021||Oteiza T.P.; Kelly L.; Mooney P. (2021) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives USING CONTEXTUAL CUES in UNDERSTANDING URBAN MENTAL WELL-BEING [DOI] [Full-Text]|
|2021||Goeuriot L.; Suominen H.; Kelly L.; Alemany L.A.; Brew-Sam N.; Cotik V.; Filippo D.; Gonzalez Saez G.; Luque F.; Mulhem P.; Pasi G.; Roller R.; Seneviratne S.; Vivaldi J.; Viviani M.; Xu C. (2021) European Conference on Information Retrieval CLEF eHealth Evaluation Lab 2021 [DOI]|
|2021||Goeuriot L.; Suominen H.; Pasi G.; Bassani E.; Brew-Sam N.; González-Sáez G.; Kelly L.; Mulhem P.; Seneviratne S.; Upadhyay R.; Viviani M.; Xu C. (2021) CEUR Workshop Proceedings Consumer Health Search at CLEF eHealth 2021 [Full-Text]|
|2021||Suominen H.; Goeuriot L.; Kelly L.; Alemany L.A.; Bassani E.; Brew-Sam N.; Cotik V.; Filippo D.; González-Sáez G.; Luque F.; Mulhem P.; Pasi G.; Roller R.; Seneviratne S.; Upadhyay R.; Vivaldi J.; Viviani M.; Xu C. (2021) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Overview of the CLEF eHealth Evaluation Lab 2021 [DOI]|
|2020||Goeuriot, Lorraine and Suominen, Hanna and Kelly, Liadh and Antonio, Miranda-Escalada and Krallinger, Martin and Liu, Zhengyang and Pasi, Gabriella and Gonzalez Saez, Gabriela and Viviani, Marco and Xu, Chenchen (2020) The 11th Conference and Labs of the Evaluation Forum Overview of the CLEF eHealth Evaluation Lab 2020|
|2020||Goeuriot, Lorraine and Suominen, Hanna and Kelly, Liadh and Liu, Zhengyang and Pasi, Gabriella and Saez Gonzales, Gabriela and Viviani, Marco and Xu, Chenchen (2020) Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum Overview of the CLEF eHealth 2020 Task 2: Consumer Health Search with Ad Hoc and Spoken Queries|
|2020||Suominen, Hanna and Kelly, Liadh and Goeuriot, Lorraine and Krallinger, Martin (2020) ECIR 2020 – 42nd European Conference on Information Retrieval CLEF eHealth Evaluation Lab 2020|
|2019||Kelly, Liadh and Suominen, Hanna and Goeuriot, Lorraine and Neves, Mariana and Kanoulas, Evangelos and Li, Dan and Azzopardi, Leif and Spijker, Rene and Zuccon, Guido and Scells, Harrisen and Palotti, Joao (2019) The 10th Conference and Labs of the Evaluation Forum Overview of the CLEF eHealth Evaluation Lab 2019 [Full-Text]|
|2019||Kelly, Liadh and Goeuriot, Lorraine and Suominen, Hanna and Neves, Mariana and Kanoulas, Evangelos and Spijker, Rene and Azzopardi, Leif and Li, Dan and Jimmy and Palotti, Joao and Zuccon, Guido (2019) The 41st European Conference on Information Retrieval (ECIR 2019) CLEF eHealth 2019 Evaluation Lab Cologne, Germany,|
|2019||Conlan, Owen and Fraser, Kieran and Kelly, Liadh and Yousuf, Bilal (2019) The 10th Conference and Labs of the Evaluation Forum A User Modeling Shared Challenge Proposal [Full-Text]|
|2019||Pasi, Gabriella and Jones, Gareth J. F. and Goeuriot, Lorraine and Kelly, Liadh and Marrara, Stefania and Sanvitton, Camilla (2019) The 10th Conference and Labs of the Evaluation Forum Overview of the CLEF 2019 Personalised Information Retrieval Lab (PIR-CLEF 2019)|
|2018||Jimmy and Zuccon, Guido and Palotti, Joao and Goeuriot, Lorraine and Kelly, Liadh (2018) Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum Overview of the CLEF 2018 Consumer Health Search Task [Full-Text]|
|2018||Suominen, Hanna and Kelly, Liadh and Goeuriot, Lorraine and Névéol, Aurélie and Ramadier, Lionel and Robert, Aude and Kanoulas, Evangelos and Spijker, Rene and Azzopardi, Leif and Li, Dan and Jimmy and Palotti, Joao and Zuccon, Guido (2018) The 9th International Conference of the CLEF Association Overview of the CLEF eHealth Evaluation Lab 2018 [Full-Text]|
|2019||Conlan, Owen, Fraser, Kieran, Kelly, Liadh and Yousuf, Bilal (2019) Proposal for a Shared Challenge in the UMAP Space. TP [Link]|
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