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Dr. Owen Conlan

Associate Professor (Computer Science)

I am an Associate 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 (160+ publications; h-index of 24; ~2400 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 €9.4m 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

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Details Date
EvalUMAP Organisation 2016
Debattista, Jeremy and Salim, Fahim A and Haider, Fasih and Conran, Clare and Conlan, Owen and Curtis, Keith and Wei, Wang and Junior, Ademar Crotti and O'Sullivan, Declan, Expressing Multimedia Content Using Semantics - A Vision, , IEEE 12th International Conference on Semantic Computing (ICSC), 2018, pp302--303 , Conference Paper, PUBLISHED  DOI
Fabrizio Orlandi, Jeremy Debattista, Islam A. Hassan, Majid Latifi, Matthew Nicholson, Clare Conran, Fahim A. Salim, Daniel Turner, Jian Tang, Owen Conlan, Declan O'Sullivan, Leveraging Knowledge Graphs of Movies and their Content for Web-Scale Analysis, Workshop on Multimedia Information Retrieval and Applications of the 14th International Conference on Signal Image Technology and Internet-Based Systems (SITIS 2018, Spain, November 26th, 2018, pp1-8 , Conference Paper, PUBLISHED
Paul Stynes, Owen Conlan, Declan O'Sullivan, CRESUS-T: A Collaborative Requirements Elicitation Support Tool, International Journal of Software Engineering & Applications (IJSEA), 9, (2), 2018, p9 - 28, Journal Article, PUBLISHED  DOI  URL
Fasih Haider, Fahim A. Salim, Saturnino Luz, Carl Vogel, Owen Conlan and Nick Campbell, Visual, Laughter, Applause and Spoken Expression Features for Predicting Engagement Within TED Talks, Proceedings of the 18th Annual Conference of the International Speech Communication Association (INTERSPEECH2017), Stockholm, Sweden, August 20-24, 2017, ISCA, 2017, pp2381-2385 , Conference Paper, PUBLISHED  DOI
Salim, F.A., Haider, F., Conlan, O. and Luz, S., An alternative approach to exploring a video, International Conference on Speech and Computer (SPECOM 2017), 10458 LNAI, 2017, pp109-118 , Conference Paper, PUBLISHED  DOI
Conlan, O. and Staikopoulos, A., EvalUMAP 2017 chairs' welcome, 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 2017, pp171 - 172, Conference Paper, PUBLISHED
Conlan, O., Kelly, L., Koidl, K., Lawless, S. and Staikopoulos, A., EvalUMAP: Towards comparative evaluation in user modeling, adaptation and personalization, 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 1866, 2017, pp171 - 212, Conference Paper, PUBLISHED
Staikopoulos, A. and Conlan, O., Proposing an evaluation task for identifying struggling students in online courses, 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 2017, pp203-208 , Conference Paper, PUBLISHED  DOI
Fraser, K. and Yousuf, B. and Conlan, O., Synthesis & evaluation of a mobile notification dataset, 25th Conference on User Modeling, Adaptation and Personalization, Bratislava, Slovakia, 2017, pp179-184 , Conference Paper, PUBLISHED  DOI
Stynes, Paul and Conlan, Owen and O†Sullivan, Declan, CRESUS : A Tool to Support Collaborative Requirements Elicitation Through Enhancing Shared Understanding and Simulation, Conference: 7th International Conference on Natural Language Processing, 2017, pp47 , Conference Paper, PUBLISHED  DOI

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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