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Professor Owen Conlan

Professor in (Computer Science)

I am a Professor in Computer Science in the School of Computer Science and Statistics, Director of Postgraduate Teaching and Learning (SCSS) and Co-director of the Trinity Centre for Digital Humanities. I am an active member of the Artificial Intelligence discipline and of the Knowledge and Data Engineering (KDEG) research group, having previously acted as its director. In 2015, I was elected as a Fellow of Trinity College Dublin, which represents the highest honour the university can bestow on its academic staff. I am a recognised thought leader in the field of personalisation (190+ publications; h-index of 29; ~3100 citations), promoting new creative approaches to personalisation, specifically the multi-model, metadata driven approach, the cross-site personalisation approach, the four-phase approach for explorative personalisation and approaches to support metacognition and self-regulation. I am also at the forefront of promoting comparative evaluation techniques in the personalisation research field. It is a mark of prestige that I was selected as the general chair of the leading international conference in the field, User Modelling, Adaptation and Personalisation (UMAP), in 2015. I have secured approximately €10.8m in competitive research and industry funding as principal investigator and I have an extensive network of international multi-disciplinary collaborators through the European Commission projects I have coordinated and in which I performed scientific leadership roles. I am also one of seven founding PIs of ADAPT, a €50 million (co-funded by 25+ industry partners and Science Foundation Ireland) Global Centre of Excellence for Digital Content Technology, led from Trinity College Dublin. I lead a multi-disciplinary team of 10 researchers in the Personalising the User Experience theme of ADAPT. I am a passionate educator, at both undergraduate and postgraduate level, with a strong record in developing innovative programmes and modules. I am very much student-centric and am engaged with all facets of developing students, from recruitment (e.g. visiting schools to promote Computer Science) through to supporting students to navigate College policies (e.g. facilitating appeals processes). The goal of my lab is to empower users in understanding and interacting with complex knowledge and media. I have a specific focus on user control over personalised AI-driven systems.
  Applied information systems   Artificial Intelligence   Cognitive science   Computer based training   Databases, database management, data mining   Distance Learning   Educational Psychology   E-Learning   Information management   Information Representations   Information Science/Systems   Information systems development   Information Technology   Information technology in education   Innovation in learning   Internet   Internet technologies   Knowledge Acquisition   Knowledge and data engineering   KNOWLEDGE ENGINEERING   Knowledge Management   Knowledge Representation   LEARNING   Lifelong Learning   Neuroscience and Cognition   Virtual learning environments
 FAME (January 2004 - July 2008)">  iClass - Intelligent Distributed Cognitive-based Open Learning System for Schools
 ELEKTRA - Enhanced Learning Experience and Knowledge Transfer

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Details Date
EvalUMAP Organisation 2016
Personalizing type-based facet ranking using BERT embeddings in, Further with Knowledge Graphs, IOS Press, 2021, pp133--138 , [Ali, Esraa and Caputo, Annalina and Lawless, S{\'e], Book Chapter, PUBLISHED
Vuong M. Ngo, Gary Munnelly, Fabrizio Orlandi, Peter Crooks, Declan O'Sullivan, Owen Conlan, A Semantic Search Engine for Historical Handwritten Document Images, ecture Notes in Computer Science, 25th International Conference on Theory and Practice of Digital Libraries (TPDL), UK, 13-17 September 2021, 12866, Springer, 2021, pp60-65 , Conference Paper, PUBLISHED  URL
Ali, Esraa and Caputo, Annalina and Lawless, S{\'e, A probabilistic approach to personalize type-based facet ranking for poi suggestion, International Conference on Web Engineering, 2021, pp175--182 , Conference Paper, PUBLISHED
Barman, Dipto and Conlan, Owen, Exploring the Links between Personality Traits and Susceptibility to Disinformation, Proceedings of the 32nd ACM Conference on Hypertext and Social Media, 2021, pp291--294 , Conference Paper, PUBLISHED
Bilal Yousuf, M. Atif Qureshi, Brendan Spillane, Gary Munnelly, Oisin Carroll, Matthew Runswick, Kirsty Park, Eileen Culloty, Owen Conlan and Jane Suiter, PROVENANCE: An Intermediary-Free Solution for Digital Content Verification, Fourth Workshop on Knowledge-driven Analytics and Systems Impacting Human Quality of Life (KDAH-CIKM-2021), Gold Coast, Queensland, Australia, 05 November 2021, edited by Gao Cong, Maya Ramanath , 2021, pp1 - 13, Conference Paper, PUBLISHED  TARA - Full Text
Ali, Esraa and Caputo, Annalina and Lawless, S{\'e, Where Should I Go? A Deep Learning Approach to Personalize Type-Based Facet Ranking for POI Suggestion, International Conference on Web Information Systems Engineering, Further with Knowledge Graphs, 2021, pp207--215 , Conference Paper, PUBLISHED
Esraa Ali, Annalina Caputo, Séamus Lawless, Owen Conlan, A Probabilistic Approach to Personalize Type-Based Facet Ranking for POI Suggestion, 2021, p175--182 , Journal Article, PUBLISHED  DOI
Esraa Ali, Annalina Caputo, Séamus Lawless, Owen Conlan, Dataset Creation Framework for Personalized Type-Based Facet Ranking Tasks Evaluation, 2021, p27--39 , Journal Article, PUBLISHED  DOI
Garrick V. Allen, Owen Conlan, Clare Conran, Christophe Debruyne, Troy Griffitts, Nishtha Jain, Matthew Nicholson, Declan O'Sullivan, Kelsie G. Rodenbiker, Anthony P. Royle, and Ulrich Schmid, The New Testament in Virtual Research Environments: Titles, Greek Manuscripts, Data Querying, Classics@, 18, (1), 2021, p20-34 , Journal Article, PUBLISHED  URL
Ngo, Vuong M and Duong, Thuy-Van T and Nguyen, Tat-Bao-Thien and Nguyen, Phuong T and Conlan, Owen, An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures, Journal on Computing and Cultural Heritage (JOCCH), 14, (4), 2021, p1--22 , Journal Article, PUBLISHED  URL

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Neil Peirce, The Non-invasive Personalisation of Educational Video Games, Trinity College Dublin, 2013, Thesis, PUBLISHED


Award Date
Best Paper Award at the IEEE 7th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference. 2016
Fellow of Trinity College Dublin. 2015
Awarded a US and UK patent for 'A Web Based System and Method for Cross Site Personalisation' January 2013
Annual All-Ireland Dissertation Award in ICT for Eleanor O'Neill (former PhD student), Royal Irish Academy 2011
European Award for Language Technology for innovative Game Based Language Learning. 2010
Best Paper award at the Second IEEE International Conference on Digital Games and Intelligent Toys Based Education (DIGITEL 2008). November 2008
Best Student Paper award at the Second ACM International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2002) May 2002