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Dr. Joeran Beel

Ussher Assistant Professor (Computer Science)
OREILLY INSTITUTE


Dr 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 holds two Master's degrees and obtained a PhD in computer science from Otto-von-Guericke University, Magdeburg (Germany). During his PhD studies, Joeran 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, as a freelance consultant and as the founder of two business start-ups, which both received several awards at business plan competitions such as start2grow and BPW. Currently, Joeran is spinning out his third business start-up. Joeran's research focuses on automated machine learning (AutoML) & meta-learning, information retrieval (IR), natural language processing (NLP), the blockchain and other technologies, in areas including recommender systems, algorithm selection, news analysis, plagiarism detection, and document engineering. Domains he is particularly interested in include digital libraries & digital humanities, eHealth, tourism, law, FinTech, and mobility. Joeran published more than 70 peer-reviewed publications that have received over 2,000 citations. He acts as a reviewer for venues such as SIGIR, ECIR, RecSys, UMAP, ACM TiiS, and JASIST and served as general co-chair of the 26th Irish Conference on Artificial Intelligence and Cognitive Science. Joeran acquired more than 2 million Euro in funding for his research, prototype development, and business start-ups.
  ARTIFICIAL INTELLIGENCE   Bibliometrics   Bitcoin   Blockchain   computer-assisted language learning   Cross-Language Information Retrieval   Digital Humanities   Digital Libraries   FinTech   INFORMATION EXTRACTION   INFORMATION-RETRIEVAL   MACHINE LEARNING   Natural Language Processing   Personalisation   Personalisation and User-Centric Adaptivity   Personalised Information Retrieval   Plagiarism Detection   Recommender Systems   Scientometrics   Text Mining   TOURISM   User Modeling
 Darwin & Goliath: Meta-Learning Recommendations As-a-Service
 Domain-Independent Semantic Annotation of the Text
 SciPlore
 Mr. DLib and Recommender System Reproducibility
 Docear: Literature Management & Mind-Mapping Based User Modelling

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Details Date
Scientific advisor on the board of the business-start-up iris.ai 2018
Advisor on the board of the business-startup Originstamp. 2016
Member of the Scientific Advisory Board of the German Academic Exchange Service (DAAD) for the IFI Programme for PostDoctoral Funding in AI. 2019
Editorial Board of the International Journal of Digital Libraries 2019
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
German Fluent Fluent Fluent
Details Date From Date To
Member of the Association of Computing Machinery (ACM) 2010
J Beel, A Collins, O Kopp, L Dietz, P Knoth, Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations, 41st European Conference on Information Retrieval (ECIR), 2019, pp100 - 103, Conference Paper, PUBLISHED
J Beel, B Smyth, A Collins, RARD II: The 94 Million Related-Article Recommendation Dataset, 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 2019, pp39 - 55, Conference Paper, PUBLISHED
Collier M. and Beel J., Memory-Augmented Neural Networks for Machine Translation, Machine Translation (MT) Summit, 2019, pp30 - 42, Conference Paper, PUBLISHED
Beel, Joeran, and Lars Kotthoff, Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 41st European Conference on Information Retrieval (ECIR), 2019, pp205-212-, Conference Paper, PUBLISHED
Edenhofer, Gordian, Andrew Collins, Akiko Aizawa, and Joeran Beel, Augmenting the DonorsChoose.org Corpus for Meta-Learning, 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 2019, pp32 - 38, Conference Paper, PUBLISHED
Collins, Andrew, and Joeran Beel, Keyphrases vs. Document Embeddings vs. Terms for Recommender Systems: An Online Evaluation, ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2019, pp110 - 115, Conference Paper, PUBLISHED
Philipp Scharpf, Ian Mackerracher, Moritz Schubotz, Joeran Beel, Corinna Breitinger, Bela Gipp, AnnoMathTeX - a Formula Identifer Annotation Recommender System for Mathematical Documents, ACM Recommender Systems Conference, 2019, pp532-533 , Conference Paper, PUBLISHED
Joeran Beel, Alan Griffin, Conor O'Shea, Darwin & Goliath: Recommendations-As-a-Service (RaaS) with Automated Algorithm-Selection and White-Labels, ACM Recommender Systems Conference, 2019, pp534-535 , Conference Paper, PUBLISHED
Hebatallah A. Mohamed Hassan, Giuseppe Sansonetti, Fabio Gasparetti, Alessandro Micarelli, Joeran Beel, BERT, ELMo, USE and InferSent Sentence Encoders: The Panacea for Research-Paper Recommendation?, 13th ACM Conference on Recommender Systems (RecSys), 2019, pp6-10 , Conference Paper, PUBLISHED
Joeran Beel, Victor Brunel, Data Pruning in Recommender Systems Research: Best-Practice or Malpractice?, 13th ACM Conference on Recommender Systems (RecSys), 2019, pp26-30 , Conference Paper, PUBLISHED
  

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Joeran Beel, Please visit my Google Scholar profile for a complete list of publications, https://scholar.google.de/citations?user=jyXACVcAAAAJ&hl=en, 2020, Journal Article, SUBMITTED
Joeran Beel, Mr DLib: Related-Article Recommendations for Digital Libraries As-a-Service, LibTech / 48th LIBER Annual Conference, Dublin, 2019, Invited Talk, PRESENTED
Joeran Beel, Meta-Learning for Per-Instance Algorithm Selection, Deep-Learning Meetup, Dublin, 2019, Invited Talk, PRESENTED
Joeran Beel, Docear & Recent Advances in Recommender Systems, Inselklinikum Kolloquium, Bern, Switzerland, 2019, Invited Talk, PRESENTED
Joeran Beel, Federated Meta-Learning: Democratizing Algorithm Selection Across Disciplines and Software Libraries, 2019, -, Miscellaneous, PUBLISHED
Joeran Beel and Lars Kotthoff(ed.), The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR), 2019, 1-65 p, Proceedings of a Conference, PUBLISHED
Rob Brennan, Joeran Beel, Ruth Byrne and Jeremy Debattista, Preface: The 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018), 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS, 2018, pp1 - 7, Conference Paper, PUBLISHED
Joeran Beel, Darwin & Goliath: Micro & Macro Recommendations as-a-Service, Machine Learning Meetup Dublin, Dublin, 2018-04, 2018, Invited Talk, PRESENTED
Joeran Beel, Reference Parsing, Author Role Extraction, and Micro Recommendations, NII Weekly Seminar, Media Devision, Tokyo, 2018-03-30, 2018, Invited Talk, PRESENTED
Joeran Beel, The Potential of Meta Recommender-Systems at Macro- and Micro Level, Machine Learning Dublin Meetup, Ireland, Dublin, 2018, Invited Talk, PUBLISHED

  

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Award Date
Outstanding PC Member Award at the UMAP Conference 2019
Finalist of the NRDC Business Plan Competition 2019
Best-paper award at ICANN Conf. 2018
Best-Reviewer Nominee at 12th ACM Conference on Recommender Systems 2018
5th prize in B-P-W business plan contest 2013
1st / prize in ego.BUSINESS business plan contest 2012
Best Master's graduate of the computer science department 2008
Award for exceptional achievements in the field of technology by the Heinz and Gisela Friederichs Foundation 2002
2nd winner at Jugend-forscht, Germany's national wide research contest 2002
Honoring for outstanding research work by German's Chancellor Gerhard Schröder 2002
4th prize in nationwide business plan contest start2grow 2003
2nd prize in nationwide business plan contest B-P-W 2003
4th winner of the business plan contest futureSAX in Saxony 2003
Award for an outstanding microelectronic equipment development by the Association of German Electrical Engineers 2001