Juan Camilo Rosero Lopez

PhD Researcher

Juan Camilo Rosero Lopez is a first-year PhD student in the SFI Centre for Research Training in Artificial Intelligence in Trinity College Dublin, where he is supervised by Dr. Ivana Dusparic. His research interest is in Multi-objective Reinforcement Learning, focusing on implementations of true multi-objective methods and applications of RL. Juan holds a BSc. in Computer Science with Honors, where he developed a novel multi-objective approach for declarative process models. Before joining the CRT-AI funded PhD programme, he worked as a freelance software developer. In his spare time Juan enjoys Reading, playing video games, and cooking.

Supervisor: Dr. Ivana Dusparic 

OTHER TEAM MEMBERS

Dr. John Dingliana

CRT in AI Supervisor

Dr. John Dingliana graduated with a B.Sc. Honors degree in Computer Science from University College Dublin in 1998 and received his PhD in the Department of Computer Science, Trinity College Dublin in 2003. In 2005, he was appointed as an Assistant Professor in the School of Computer Science and Statistics, Trinity College Dublin. His main research interests are in real-time computer graphics, interactive visualisation and augmented and virtual reality. He has been involved as principal investigator on several national and EU-funded projects in these areas including the SFI Investigator Project ARTIVVIS, the Horizon EU project TRANSMIXR and the EU FP7 project VERVE. He is also a Funded investigator in the SFI Research Center ADAPT, and a co-PI in the TCD Prendergast Challenge-based Multi-disciplinary Project, Life in The Currents.

Teona Banu

PhD Researcher

Teona Banu is a first-year PhD student in Computer Science at Trinity College Dublin, supervised by Dr Carl Vogel. She completed her Master’s Degree in Data Science at TCD in 2023. Her research interests are Computational Linguistics, Cognitive Science, and Artificial Intelligence. She is currently researching the measurement of engagement in dialogues through the analysis of linguistic features and speakers’ personality traits.

She holds a Double Bachelor’s degree in Econometrics and Economics. During her undergraduate studies, she focused on operations research and policy evaluation. She studied the phenomenon of courier drainage in the meal delivery routing problem and the effects of wage transparency policies on the gender wage gap.

 

Supervisor: Professor Carl Vogel

OTHER TEAM MEMBERS

Fiona Murphy

PhD Researcher

Fiona Murphy is a first-year PhD student at Trinity College Dublin, where she is supervised by Dr. Alessio Benavoli. Her research involves developing novel algorithms for multiple time-series extrinsic regression, with applications across various types of large-scale systems that utilize time-series data.

She received her B.S. in Computer Science and Applied Mathematics at Stony Brook University, where she completed an Honors thesis using online convex optimization and model predictive control to explore solutions to oversupply on the power grid. Additionally, she has previous research experience in large-scale data analysis and online program anomaly detection via machine learning.

Supervisor: Dr. Alessio Benavoli 

Shima Rahmani

PhD Researcher

Shima is a PhD student in the School of Computer Science & Statistics, and a member of the SUMMIT group, joined TCD in 2021. She holds a BSs in Aerospace Engineering with a minor in Optimization Methods, and an MSc in Systems Engineering. Her academic background in this field led her to grasp the depth of engineered systems complexity and to harness soft computing concepts and uncertainty-based design optimization methods to analyse complex engineered systems. Through her career life, she gained years of experience in Reliability Engineering.

Shima has received numerous grants, and worked on multi-disciplinary projects with partners from different European countries, and in the field of data science.

Shima’s current research revolves around the application of AI technology in the improvement of the transportation system efficiency.

Jovan Jeromela

PhD Researcher

Jovan Jeromela joins a first year PhD student at ADAPT Centre at TCD working under the supervision of Owen Conlan. Jovan has two undergraduate degrees: BSc-Hon. in Software & Information Engineering from TU Wien and BSc in Computer Science from the University of Novi Sad. He is soon to graduate as a MSc in Data Science from TU Wien. Jovan’s primary area of research is to be user modelling and personalisation. He has keen interest in recommender systems and machine learning in general. His research thus far included engagement prediction, analysing and predicting student performance, and argumentation frameworks. Jovan listens to countless podcasts and his favourite book series is Foundation by Isaac Asimov.

Supervisors: Dr. Owen Conlon

OTHER TEAM MEMBERS

Dhuha Al-zobaie

PhD Researcher

Dhuha is a first-year PhD student in the school of computer science and statistics, Trinity College Dublin, where she is supervised by Dr. Siobhan Clarke. She holds a MSc. in Computer science, Iraq where her thesis was focused on design, programming and applies autonomous robots in real time. Prior to joining the CRT-AI funded PhD programme, she worked as an Academic Lecturer at several universities in Baghdad. In her spare time she enjoys hanging out with friends, cooking and watching movies.

Supervisor: Professor Siobhan Clarke

OTHER TEAM MEMBERS

Matt Murtagh White

PhD Researcher

Matt Murtagh-White is a second year PhD student at Trinity College Dublin. He holds a BA (Hons) in Politics, Philosophy, Economics and Sociology from Trinity College Dublin, an MSc. in Economics for Development from the University of Oxford and an MSc. In Computer Science (Intelligent Systems) from Trinity College Dublin. He has previously worked for the Central Statistics Office of Ireland on quality adjustment systems for price indices. Over a period of two years, he assisted in the establishment of a data science team at the National Institute of Statistics of Rwanda in Kigali. Matt is interested in using knowledge graphs and graph based data to better summarise data associated with randomised controlled trials and monitoring and evaluation studies in international development. His supervisors are Declan O’ Sullivan and PJ Wall.

OTHER TEAM MEMBERS

Mary Coyle

PhD Researcher

Mary Coyle is a second-year PhD student in Artificial Intelligence at the O’Reilly Institute, Trinity College Dublin, where she is supervised by Dr. Lucy Hederman and Dr. David Lewis. Mary’s research is an investigation into bias in healthcare and how it can be prevented in the public and private healthcare sectors, as well as how unconscious bias may occur. She is researching the development process of an algorithm from planning to deployment to define where unconscious bias may have a negative impact on the results. She has previously studied pharmaceutical operations, medical device technology, and data analytics. Prior to joining the CRT-AI funded PhD programme, she worked as a software tester and received the International Software Testing Qualification. In her spare time, Mary enjoys horror movies and video games.

OTHER TEAM MEMBERS

Anaïs Claire Murat

PhD Researcher

Anaïs Murat is a PhD student in Computer Science in Trinity College Dublin since September 2021. She is part of the third cohort being funded by the Science Foundation Ireland’s Centre for Research Training in Artificial Intelligence. Supervised by Dr. Carl Vogel, she is specialising in Natural Language Processing, and studies the impact of paralinguistic features on human dialogue interactions.

 Coming from human sciences, she holds a diploma in English Literature and Civilisation, a Bachelor’s degree in Sciences of Language from Université Lumière Lyon 2 (France), and a first-class honours Master’s Degree in Speech and Language Processing from Trinity College Dublin (Ireland). Particularly interested in syntax and, more broadly, in the underlying rules and patterns governing human interactions, she investigates how these concepts can be applied to the field of Artificial Intelligence.

In addition to studying and doing research, she is part of the CRT AI’s Newsletter Team. She enjoys learning new languages and discovering their intricacies. She also likes spending time drawing, hiking, and swimming in the Irish sea -especially when it is cold.

Supervisor : Dr. Carl Vogel 

PUBLICATIONS

OTHER TEAM MEMBERS

Dr. Giovanni Di Liberto

CRT in AI Supervisor

Giovanni  Di Liberto received his Bachelor’s degree in Information Engineering in 2011 and his Master’s degree in Computer Engineering in 2013, both from the University of Padova, Italy. After a period working on his thesis at University College Cork (UCC, Ireland), he joined Edmund Lalor‘s research lab in Trinity College Dublin where he pursued a PhD in auditory neuroscience in the School of Electronic and Electrical Engineering. He received his PhD in 2017 and he joined the Laboratoire des Systèmes Perceptifs at École Normale Superieure (Paris) immediately after, under the supervision of Alain de Cheveigné and Shihab Shamma. Then, he briefly continued his work on speech communication with Richard Reilly as a postdoctoral researcher (TCD), while also working with Simon Kelly at UCD, expanding his expertise into the Decision Making domain. He holds the title of Assistant Professor in Intelligent Systems in the School of Computer Science and Statistics at Trinity College Dublin.

Giovanni’s scientific interests centre on understanding the brain mechanisms underlying speech comprehension. In his work, he develops data analysis methods and applies them to brain data to identify the neural processes responsible for the transformation of a sensory stimulus into its abstract meaning. Brain electrical data is measured with either non-invasive (e.g., electroencephalography – EEG) or invasive (e.g., electrocorticography – ECoG) technologies. The first aspect of his research is methodological and has produced novel experimental and analysis frameworks to investigate cortical auditory processing. The second aspect of his research is to use such novel methods to test theories on auditory perception, such as the hierarchical processing of speech and predictive processing theories (e.g. predictive coding). Finally, the third part of his work is translational and involves the identification of solutions to utilise his novel methods in applied settings, for example as tools to develop brain-computer interfaces (COCOHA project) or as objective measures for the monitoring of language development and healthy ageing.

PUBLICATIONS

Professor Carl Vogel

CRT in AI Supervisor

Professor Carl Vogel

Associate Professor in Computational Linguistics

Qualifications

  • BSc (Honors) Loyola, New Orleans, USA
  • MSc Simon Fraser University BC, CA
  • PhD University of Edinburgh, UK

Honors

Loyola Presidential Scholar (1984-1988); Marshall Scholar (1991-1994); Fellow, Trinity College Dublin (2002-present)

Research Areas

Computational Linguistics, Cognitive Science

Current preoccupations

Defamatory and toxic text analytics, with Caliber.

The MULTISIMO project on multimodal interaction. The EC counts this project among its success stories.

Investigator within the SFI Research Centre, CNGL and its successor, ADAPT.

A book on Internet Research Methods has been published by SAGE (written by Claire Hewson, Carl Vogel and Dianna Laurent).

In 2021, this book on Internet Research Methods (written by Claire Hewson, Carl Vogel and Dianna Laurent) and published by SAGE was translated into Chinese translated by Haijun Dong for the China Renmin University Press.

Member (founding Chair) of the (SCSS Research Ethics Committee).

PUBLICATIONS

OTHER TEAM MEMBERS