M. Dolores Jiménez López – författare

This Festschrift is dedicated to Erzsébet Csuhaj-Varjú in recognition of her contributions to theoretical computer science. Over the course of her distinguished career, she has played a pivotal role in advancing the fields of formal languages, automata theory, and bioinspired computation. Her work as a research collaborator, mentor, and organizer has been instrumental in fostering a vibrant community, these successes are reflected in the papers contributed to this volume.

Prof. Csuhaj-Varjú graduated with a master’s degree in mathematics from the Kossuth Lajos University in Debrecen in 1977, she received her PhD in 1993, became a doctor of the Hungarian Academy of Sciences in 2003, and habilitated in computer science from Eötvös Loránd University. From 1979 to 2011 she was a researcher and manager at the Computer and Automation Research Institute of the Hungarian Academy of Sciences, she became a full professor at Eötvös Loránd University in 2008. Prof. Csuhaj-Varjú initiated research directions in the theory and applications of formal languages and automata, unconventional computation, and distributed systems, and played a decisive role in the development of the theory of grammar systems.

This book presents the outcomes of the 15th International Conference on Distributed Computing and Artificial Intelligence, held in Toledo (Spain) from 20th to 22nd June 2018 and hosted by the UCLM, and which brought together researchers and developers from industry, education and the academic world to report on the latest scientific research, technical advances and methodologies. Highlighting multi-disciplinary and transversal aspects, the book focuses on the conferences Special Sessions, including Advances in Demand Response and Renewable Energy Sources in Smart Grids (ADRESS); AI- Driven Methods for Multimodal Networks and Processes Modeling (AIMPM); Social Modelling of Ambient Intelligence in Large Facilities (SMAILF); Communications, Electronics and Signal Processing (CESP); Complexity in Natural and Formal Languages (CNFL); and Web and Social Media Mining (WASMM).