- Bertha Guijarro-Berdiñas obtained her Ph.D. in Computer Science in 1998. She is currently Tenure Professor at the Faculty of Informatics of the University of A Coruña and member of its Laboratory of R&D in Artificial Intelligence (LIDIA-UDC). Her main research interests are in both applied and theoretical aspects of machine learning (large scale learning, online learning, distributed learning, efficient learning), knowledge-based systems and knowledge engineering. She has participated in more than 40 research projects funded by European, national and regional agencies, as well as in regular collaborations with companies such as INDRA Sistemas S.A. or Prisa Digital S.L.; she has registered an intelligent system for fetal monitoring and diagnosis, and has co-authored more than 90 publications in books, international journals and conferences in the field of Artificial Intelligence. From 2012 to 2018 she directed the Research Center in Information Technology and Communications (CITIC- http://citic-research.org/) of the University of A Coruña with more than 200 researchers. From 2013 to 2017, she collaborated with the Spanish National Evaluation and Prospective Agency (ANEP) in the General Subdirectorate of Research Projects as an associate of the area of Computer Science and Information Technology (INF). In 2014 she was awarded by the Professional Association of Computer Engineering of Galicia with the Ada Byron Prize headed to women Engineers. More recently, she co-organized the 4th WGML 2019 (https://www.wgml.es/) and BigData Coruña (https://www.citic-research.org/actividades/big-data-coruna-2019.htm)
- Verónica Bolón-Canedo obtained her Ph.D. (2014) degree in Computer Science from the University of A Coruña (Spain). After a postdoctoral fellowship in the University of Manchester, UK (2015), she is currently an Assistant Professor in the Department of Computer Science of the University of A Coruña. She received the Best Thesis Proposal Award (2011) and the Best Spanish Thesis in Artificial Intelligence Award (2014) from the Spanish Association of Artificial Intelligence (AEPIA). She has extensively published in the area of machine learning and feature selection. On these topics, she has co-authored two books, seven book chapters, and more than 60 research papers in international conferences and journals. She co-organized several special sessions at international conferences, such as ESANN and IJCNN, and served in program and scientific committees. Her current research interests include machine learning, feature selection and big data.
- David Martinez Rego obtained his PhD (2013) in Computer Science from the University of A Coruña for his work on Automated Machinery Fault Detection which was awarded Best Thesis Proposal Award (2010) by the Spanish Association of Artificial Intelligence (AEPIA). He has been part of laboratories in a number of academic institutions, including the University of A Coruña, the University of Florida, and University College London. His main research focus is in Applied Machine Learning. He has acted as a researcher and practitioner in areas such as Automatic Diagnosis of Machinery Faults, Automated Trading Strategies Development, Retail Banking Machine Learning modelling, Automation in LawTech, Automated Market Making, TravelTech, Application of ML to medical diagnosis, FPGA acceleration of Financial Calculations, ... After a postdoctoral position at UCL on Big Data Algorithms Research, he remained as a Research Associate and co-founded DataSpartan, a private research firm that specialises in Artificial Intelligence research for Corporates and Startups. Currently based in London, he mentors academic research for public and private institutions and lectures on topics related to Big Data and Machine Learning. He was the main promoter of BigData Coruña, now at its 5th edition, which has attracted many relevant speakers from the private sector.