Asst. Prof Dr Joeran Beel


Prof Dr Joeran Beel, Trinity College Dublin, IrelandDr Joeran Beel is a tenure-track Ussher Assistant Professor in Intelligent Systems at the School of Computer Science and Statistics at Trinity College Dublin. He is also affiliated with the ADAPT Centre, an interdisciplinary research centre that closely cooperates with industry partners including Google, Deutsche Bank, Huawei, and Novartis. Joeran is further a Visiting Professor at the National Institute of Informatics in Tokyo, where he also completed his postdoctoral research. Joeran obtained a PhD in Computer Science from the Otto-von-Guericke University Magdeburg. During his PhD studies, he completed three research visits at the University of California, Berkeley and one at the University of Cyprus. Joeran has industry experience as a product manager at / HRS Holidays.

Joeran´s research focuses on machine learning, text mining, natural language processing, the blockchain and other technologies, in areas including recommender systems, search engines, news analysis, plagiarism detection, document engineering, and machine translation. Domains he is particularly interested in include digital libraries & digital humanities, eHealth, tourism, law, fintech, and transportation. Joeran published more than 60 peer-reviewed publications that have received over 1,500 citations. He acts as a reviewer for SIGIR, ECIR, RecSys, UMAP, ACM TiiS, and JASIST and he is serving as general co-chair of the upcoming 26th Irish Conference on Artificial Intelligence and Cognitive Science. He acquired more than 1 million Euro in funding for his research, prototype development, and two business start-ups, which both received several awards at business plan competitions such as start2grow and BPW. Joeran is currently preparing to spin out his third business start-up, this time in the field of recommender systems and machine learning.

Dr Dominika Tkaczyk


Dr Dominika Tkaczyk is a Postdoctoral Researcher at the ADAPT Centre and School of Computer Science and Statistics, Trinity College Dublin. Previously affiliated with University of Warsaw in Poland, in 2016 she received a PhD in Computer Science from Polish Academy of Sciences. In 2017 Dominika was awarded with a 2-year Marie Skłodowska-Curie EDGE Fellowship in Ireland. Over the course of her career she collaborated with a number of industry partners, including Iconic Translation Machines, International Civil Aviation Organization and Polish ZPR Media Group.

Dominika’s research interests focus on machine learning and natural language processing, in particular their applications to the automated analysis of unstructured documents, including information and knowledge mining. She is the lead researcher behind CERMINE – a popular machine learning-based system for extracting rich metadata from scientific documents. CERMINE was awarded in 2015 with Best Performing Approach Award at Semantic Publishing Challenge, held at 12th Extended Semantic Web Conference. Dominika was also involved in design and development of Information Inference Service, which is a part of OpenAIRE project aiming at providing data and text mining functionality to enable information inference from research-related data. Dominika has also worked on a number of practical projects requiring data science and machine learning techniques, including predicting people’s demographic features based on their internet browsing history in order to enable accurate targeted marketing, and data analysis of worldwide air traffic aiming at developing new metrics for assessing its effectiveness.

Andrew Collins


Andrew Collins is a PhD researcher at the ADAPT Centre and School of Computer Science and Statistics, Trinity College Dublin. Andrew was awarded an Honours Bachelor Degree in Computer Science from Trinity College Dublin, and subsequently pursued a Master of Science Degree in Technology and Innovation Management at the College of Business at Dublin Institute of Technology. During the Masters programme, Andrew acquired first-hand experience of the business opportunities that recommender systems present, through his consultancy work with a high-potential start-up company to develop and recommend a business strategy for their proprietary recommender product. This led him to undertake his PhD in recommender systems under Professor Beel.

Previously, Andrew was also a staff member at Trinity College Dublin where he worked on a project to digitise the Printed Catalogue of the Trinity College Library. This catalogue was printed in the 19th century and is the primary record of collections of the library up until 1872. This research developed his expertise and knowledge in the areas of document processing and information extraction. Andrew has also spent time at the National Institute of Informatics in Tokyo as a visiting researcher. Here he worked in the Aizawa Laboratory, which invites global researchers in information retrieval and natural language processing to collaborate.

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External PhD-Student Collaborators

Corinna Breitinger

Corinna Breitinger is a PhD student in Information Science at the University in Konstanz, Germany, and a regular collaborator of our group. She received a Bachelor’s degree from UC Berkeley and completed a 6-month research internship (full-scholarship) at the National Institute of Informatics (NII) in Tokyo. Her research interests lie in the field of Information Retrieval (IR) with a focus on human-centric IR, where she performs research on academic recommender systems, semantic and link-based similarity measures, and on blockchain-based applications. For details on her current research, teaching, and student projects, visit her university profile.


Norman Meuschke

Norman Meuschke is a PhD student in the Information Science Group at the University of Konstanz, Germany. His main research interests are methods for semantic similarity analysis and their application for information retrieval. Beyond his core research, he is interested in applied data science and knowledge management challenges and the application of blockchain technology to tackle these challenges. His research spans the fields of:

  • Information Retrieval for text, images, and mathematical content
  • Plagiarism Detection
  • Citation and Link Analysis
  • Blockchain Technology
  • Information Visualization

Norman very much enjoys collaborating with other researchers and students. For details on his research and offered student projects, please contact him.

Felix Hamborg

Felix Hamborg is a researcher in computer science at the University of Konstanz, Germany, and an external PhD collaborator of our group. His research focuses on the automated identification of biased news coverage and text analysis as well as on natural language processing (NLP) and information retrieval. He has received a scholarship by the Carl Zeiss Foundation for his doctoral research. Felix is involved in several open-source projects; the source codes are available on GitHub. Felix is also involved in teaching, including modules about cryptocurrencies and blockchain, software engineering, data science, and information retrieval.




Rowan Walsh, Niall Ryan, Niall O’Riordan, Dylan Driscoll, Mark Collier, Rory Hughes, Eoin Roche, Tom Wiśniowski, Aaron Duggan, Aoife Kettle, Erica O’Shaughnessy, Michael McAndrew, Chihun Lee, Brandon Dooley, Sean Fitzpatrick, Richard Noonan, Tony Prasad, Rónán Dowling-Cullen


Stefan Langer, Marcel Genzmehr, Mario LipinskiFelix BeierleZeljko Carevic, Georgia M. KapitsakiGabor Neusch, Max Wüstehaube, Stefan Feyer, Sophie Siebert, Siddharth Dinesh, Sara Mahmoud, Dixon Prem Daniel, Fabian Richter, Christoph Müller, Cheng Xie, Julius Seltenheim, Alexander Schwank, Florian Wokurka, Michael Schleichardt, Paul Stüber, Ammar Shaker, Nick Friedrich, Stefan Körsten, Kevin Yao, Mathias Silbermann, Sebastian Götte, Patrick Lühne, Christian Dennis Rutsch, Christoph Sterz, Claudius Grimm — did we forget someone? Please let us know.