Angelos Chatzimparmpas started as an undergraduate student at the University of Western Macedonia, Greece, in 2012. After five years of studies, he received a Master's degree in Informatics and Telecommunications Engineering in Nov 2017. During the last two years, Angelos finished two internships: in a private sector company (Web Expert) as a computer programmer and at the CTTC research center in Spain as a web developer of the IoTWorld project. Furthermore, he was a member of his university's Robotics Team and of a scientific group for an interregional cooperation project for improving SME competitiveness policies. In addition, he was a teaching assistant for many courses. Angelos is very much interested in Visual Analytics and on how to find solutions for scientific challenges referring to the problem of Big Data analytics.
Angelos will focus on Visual Analytics (VA) approaches that can be applied for making smart/complex systems more effective, for example. This topic is part of a DISA subproject that aims to better understand and engineer complex cyber-physical systems. He will develop foundational visual analytics principles, techniques, and tools for analyzing data and models in those systems. Thus, trust into the analysis results will be finally increased by making the analysis methods and the resulting empirical models transparent for end users. In consequence, users will be enabled to better predict the behavior of cyber-physical systems and to reconstruct the underlying models more efficiently when needed.
Substantially contribute to the research field of Visual Analytics and to make an impact by improving complex systems used in practice.
Mina forskargrupper och projekt
Visual Analytics for Engineering Smarter Systems (VAESS) Visual Analytics for Engineering Smarter Systems (VAESS) är ett forskningsområde inom Linnaeus University Centre for Data Intensive Sciences and…
Information and Software Visualization Forskningsgruppen Information and Software Visualization, ISOVIS, fokuserar huvudsakligen på att genom analys och visualisering utforska stora och komplexa inform…