The Babeș-Bolyai University is a public comprehensive university, that is currently the largest university in Romania and one of the best and most representative institutions of higher learning in the country. At national level, the Babeș-Bolyai University was awarded the title of intensive-research university and was ranked the best Romanian university in the meta-ranking of CWUR World University Rankings 2019-2020. The research team from the Babeș-Bolyai University is the MLyRE machine learning research group from the Faculty of Mathematics and Computer Science. The research of the MLyRe group focuses on pure theoretical and algorithmic contributions to machine learning (supervised, unsupervised, reinforcement learning, relational association rule mining, hybrid models) as well as on interdisciplinary applications of machine learning in various domains, like software engineering, bioinformatics and computational biology, bio-archaeology, computer vision, natural language processing, social media and so on.
The project team consists of members with high expertise and valuable scientific results in the fields of artificial intelligence, software development, maintenance and software product quality. Members of the MLyRE group involved in the project:
| Prof. Czibula Gabriela, PhD Gabriela Czibula works as a professor in the Computer Science Department, Faculty of Mathematics and Computer Science from the Babes-Bolyai University, city of Cluj-Napoca, Romania. She received her PhD degree in Computer Science in 2003. She published more than 200 papers in prestigious journals and conferences proceedings. Her research interests include Computational Intelligence, Machine Learning, Distributed Artificial Intelligence and Multiagent systems, Bioinformatics. Google Scholar |
| Prof. Czibula Istvan, PhD Istvan Gergely Czibula works as a professor at the Computer Science Department, Faculty of Mathematics and Computer Science from the Babes-Bolyai University, city of Cluj-Napoca, Romania. He received his PhD degree in Computer Science in 2009. He published more than 95 papers in various journals and conferences proceedings. His main research interests are Search-based Software Engineering, Software Engineering, Programming paradigms, Object Oriented Design and Machine Learning. Google Scholar |
| Lect. Molnar Arthur, PhD Molnar Arthur is a Lecturer in Computer Science currently teaching at the Babes-Bolyai University. His PhD. thesis targeted the visualisation and testing of GUI-driven applications and was successfully defended in 2012. His research expanded to cover metrics and their relation with software quality, together with applications of computer science to eHealth and adjoining domains. He coordinated the Romanian partners within 2 international research projects in eHealth and worked as a researcher in several others, including at FP7 and Horizon 2020 level. Google Scholar |
| Lect. Onet-Marian Zsuzsanna, PhD Zsuzsanna Onet-Marian works as a lecturer in the Computer Science Department, Faculty of Mathematics and Computer Science from the Babes-Bolyai University, Cluj-Napoca, Romania. She published more than 25 papers in prestigious journals and conferences proceedings. Her main research interests are Machine Learning and Search-Based Software Engineering. Google Scholar |
| Lect. Lupea Mihaiela, PhD Mihaiela Lupea works as a lecturer in the Computer Science Department, Faculty of Mathematics and Computer Science from Babes-Bolyai University, city of Cluj-Napoca, Romania. Her PhD degree in Computer Science, received in 2002, is in the domain of Non-monotonic Logics. She is the author/co-author of 8 books in Romanian, English and German languages with subjects from different areas: Computational Logic, Quantitative Linguistics, Non-monotonic Reasoning, Formal Languages and Programming languages. She published more than 60 papers in prestigious journals and conferences proceedings. Her research interests include Artificial Intelligence, Natural Language Processing, Machine Learning, Logics and Automated Theorem Proving. Google Scholar |
| Lect. Ionescu Vlad-Sebastian, PhD Vlad-Sebastian Ionescu works as a Lecturer at the Babes-Bolyai University in Cluj-Napoca, Romania. His main research interests are machine learning and deep learning applied in various other fields of study for finding better solutions to existing problems in those fields. He is also interested in software engineering and regularly does freelance work on various programming projects. Google Scholar |
| Assist. Miholca Diana, PhD Diana-Lucia Miholca works as a teaching assistant in the Department of Computer Science, Faculty of Mathematics and Computer Science from the Babes-Bolyai University of Cluj-Napoca, Romania. She received her PhD degree in Computer Science in 2020, at the same university. She published 17 papers in international journals and conference proceedings. Her research interests include Computational Intelligence, Machine Learning, Search-Based Software Engineering and Data Mining. Google Scholar |
| Assist. Mihai Andrei, PhD Mihai Andrei works as a teaching assistant in the Department of Computer Science, Faculty of Mathematics and Computer Science from the Babeș-Bolyai University of Cluj-Napoca, Romania. He received his PhD degree in Computer Science in 2021, the research centering around machine learning models for weather nowcasting. He published 10 papers in international journals and conference proceedings. His main research interests are Machine Learning and Computational Intelligence. Google Scholar |
| Anamaria Briciu, PhD student Anamaria Briciu is a PhD student at the Faculty of Mathematics and Computer Science, Babes-Bolyai University in Cluj-Napoca, Romania. Her research interests include Machine Learning, Natural Language Processing, and Affective Computing. Google Scholar |
| Albu Alexandra, PhD student Alexandra Albu is a PhD student at the Faculty of Mathematics and Computer Science, Babes-Bolyai University in Cluj-Napoca, Romania. Her research interests include Representation Learning, Deep Generative Models, and Variational Inference. Google Scholar |