Pavol is a finishing Ph.D. candidate at the Faculty of Electrical Engineering, Czech Technical University in Prague, Telecommunications department. During the years 2018-2019, he held visiting researcher positions at AIT Vienna, O2 Telefonica Barcelona, and NII Tokyo. During his Ph.D. studies from 2013 to 2020, he contributed to academia(CTU Prague) and industry (Cisco) funded projects as Principal/Co-investigator. After finishing his Ph.D. thesis, he started contributing to the FIREMAN project as a data science volunteer in February of 2020. He became a full-time research team member in November of 2020. He is also (i) an active data science volunteer at Wikimedia foundation, currently working on integrating the CJK tokenization features into the Wikimedia Python eco-system, and (ii) active contributor to IAP (in app purchases) recommender system community specializing on classification and regression methods.

He is a machine learning enthusiast, data scientist, Python programmer, and former network engineer. He enjoys riding motorcycle, rock climbing, trail running, and yoga.

Dr. Merim Dzaferagic graduated in telecommunications engineering and received his Ph.D. from Trinity College Dublin, Ireland, in 2020. His work focuses on Complex System Science and Machine Learning applied to communication networks. He received his B.Sc. and M.Sc. degrees in telecommunications engineering from University of Sarajevo, Bosnia and Herzegovina in 2011 and 2013. His work has been focused on the impact that the topological structures have on the overall network performance, as well as the application of different Machine Learning approaches to support the operation of industrial IoT networks. As part of his PhD he has been working on the concept of emergence, distributed optimization and self-organization solutions for communication networks.

Dr. eng. Adrian Gligor currently is with UMPhST Târgu Mureș, tenure at Department of Electrical Engineering and Information Technology. He received his M.Sc. degree in Advanced Control Automated Systems for Industrial and Energetic Processes from the „Petru Maior” University of Târgu Mureș (1999) and PhD degree from the Technical University of Cluj-Napoca (2007). His previous research experience includes 21 years in academia and local industry. He is or was involved in a series of national or international projects under the framework of CHIST-ERA, COST, Erasmus, Minerva or Leonardo actions. His areas of expertise include: systems optimizations, intelligent processes control, optimal control, automation in power systems, power quality, real-time systems design and implementations. His current research interests are focused on intelligent communication systems for Industry 4.0, system control and optimization, distributed control and monitoring systems. He is author or co-author of over 70 peer-reviewed scientific articles and conference papers, 6 books and contributed to 2 international book-chapters. He has served as editor, guest editor or reviewer for engineering international journals and conferences.

Dr. Emil Gatial is a researcher at II SAS since 2003. He received his MSc. in information and management systems. He defended his dissertation dealing with coordinating distributed execution of agents for trusted information collection in 2010. He is an author and co-author of many scientific papers. He participated in many national and EU projects. He is an author of Secricom SAI agent platform which was scientifically validated by successful PhD defence and verified within the scope of Secricom project. Novelty of the proposal was partially researched and described in his PhD thesis.