Prof. Dr. Michael Paraskevas is a Professor at the Department of Electrical and Computer Engineering of the University of Peloponnese. He was head of the Department of Electrical and Computer Engineering of the University of Peloponnese from 2019 to 2021, and director of the laboratory “Data and Media” of the same department from 2020 to 2021. Currently, he is vice president of the Board of Directors of the Computer Technology Institute and Press “Diophantus” and coordinator of the Greek School Network. His research interests relate to digital signal analysis and processing, information theory, detection and evaluation theory, next-generation networks, machine learning applications in image and natural language processing, and the digital transformation of education. He teaches the undergraduate courses “Signals and Systems”, “Digital Signal Processing”, “Information Theory”, and “Statistical Signal Processing and Learning”, and the postgraduate courses “Next Generation Networks”, “Advanced Educational Technologies”, and “E-skills and STEM education” of the Postgraduate program “Technologies and Services of Intelligent Information Systems and Communications” of the Department of Electrical and Computer Engineering of the University of Peloponnese. He is a member of TEE, IEEE, and AES.
Research Keywords & Expertise
Information Theory
machine learning
Signal Processing
Digital Communications
Digital tranformation
Short Biography
Prof. Dr. Michael Paraskevas is a Professor at the Department of Electrical and Computer Engineering of the University of Peloponnese. He was head of the Department of Electrical and Computer Engineering of the University of Peloponnese from 2019 to 2021, and director of the laboratory “Data and Media” of the same department from 2020 to 2021. Currently, he is vice president of the Board of Directors of the Computer Technology Institute and Press “Diophantus” and coordinator of the Greek School Network. His research interests relate to digital signal analysis and processing, information theory, detection and evaluation theory, next-generation networks, machine learning applications in image and natural language processing, and the digital transformation of education. He teaches the undergraduate courses “Signals and Systems”, “Digital Signal Processing”, “Information Theory”, and “Statistical Signal Processing and Learning”, and the postgraduate courses “Next Generation Networks”, “Advanced Educational Technologies”, and “E-skills and STEM education” of the Postgraduate program “Technologies and Services of Intelligent Information Systems and Communications” of the Department of Electrical and Computer Engineering of the University of Peloponnese. He is a member of TEE, IEEE, and AES.