Dr Wolfgang Glaenzel is Director of the Centre for R&D Monitoring (ECOOM) and
Professor emeritus with formal duties at KU Leuven (Belgium). Wolfgang Glänzel studied mathematics at the Eötvös Lorand University (ELTE) in Budapest. He holds a doctorate in mathematics from ELTE obtained in 1984 as well as a PhD in the Social
Sciences obtained from Leiden University (Netherlands) in 1997.
Prof. Jean-Charles Lamirel is both invited Sea-Sky full professor at DUT University of Dalian China since 2016 and lecturer at the University of Strasbourg since 1997. He is also associated researcher in SAMM – Paris 1 Panthéon-Sorbonne since 2021. He got his PhD in 1995 and his Research Accreditation in 2010. He is currently teaching Artificial Intelligence at the University of Dalian and Information Science (including Library Science) and Computer Science at the University of Strasbourg and achieving his research at the WISELab laboratory of DUT-Dalian and at the INRIA- LORIA laboratory of Nancy (France). He was a research member of the INRIA-CORTEX project whose scope is Neural Networks and Biological Systems. He has then integrated the INRIA- TALARIS project (recently becoming the LORIA SYNALP Project) whose main concern is automatic language and text processing. His main domains of research are Textual Data Mining based on Neural Networks, Scientometrics and Social Networks analysis. He has interests in both theoretical models for Data Mining and Data Mining applications. He is more specifically specialized in unsupervised learning methods. He is the creator of the paradigms of Data Analysis based on Multiple Viewpoints (MVDA) and Metric based on Feature Maximization (F-Max). The related models for which it has been proven that they outperform classical models begin to be used in many challenging Data Mining applications. His other main topics of research concern Visualization Methods for Data Analysis, Quality Issues in Data Analysis, Novelty Detection models, Social Networks Analysis Techniques, Geographical Data Analysis Methods and Deep Learning Methods for Text Analytics. He and his tools have been currently involved in several European projects on Webometrics and Data Analysis, like the recent EISCTES or QUAERO projects. He is a board member of international Webometrics journals and organizer and board member of international conferences in Machine Learning, like the Kohonen’s WSOM+ conference. He is also chief editor of special issue and topical collection on Incremental Learning of international journals in Neural Network and Machine Learning, like NCAA. He committee member of the main conferences in data mining, like ICDM or ICTAI. He is the unique foreign member of the CAASP (Speciality Committee of Science of Science and Discipline Construction) - China. From 2021 he is a member of the the Intemational Scientific Advisory Board for the Priority Research Area (in Polish: Priorytetowy Obszar Badawczy - POB). His research work and direction led to the successful presentation of more than 12 different PhDs (4 PhDs are still ongoing). It also generated an important scientific production: more than 62 invited conferences, organizer of 4 international conferences and of more than 21 special sessions in international conferences, main author of more than 168 publications in international conferences and journals. This work also was worthy for him the recognition of many prestigious foreign institutional partners like NIEHS (USA), NSC (Taiwan), KU Leuven (Belgium), UTS (Australia), UQAM (Montréal, Canada), University of Santiago (Chile), University of Tartu (Estonia), University of Gliwice (Poland). Prof. Lamirel is one of the winners of the recent IDA Frontier Prize 2021.