Prof. Dr . Lykourgos Magafasat at Democritus University of Thrace, Greece.
Professor Lykourgos Magafas is a distinguished physicist and academic with over three decades of experience in electrical engineering, informatics, and applied physics. He currently serves as a Professor in the Department of Informatics at Democritus University of Thrace, Greece. Holding a Ph.D. from the same university, he has held professorial roles across several prominent Greek institutions. With a profound dedication to interdisciplinary research, Professor Magafas has led numerous international and national projects in complex systems, energy, and environmental monitoring. His scholarly contributions include high-impact publications and academic program development, notably in Economic Physics. His leadership and innovation continue to influence policy and academic research, marking him as a pioneering figure in modern applied science and technology in Greece.
πΒ Professional Profile:
Google ScholarΒ
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π Suitability for the Best Researcher Award :
Professor Lykourgos Magafas is highly suitable for the Best Researcher Award due to his impactful, sustained, and interdisciplinary research contributions across physics, informatics, and engineering. With over 16 major research projects, including seven as coordinator, he has demonstrated leadership in complex system modeling, sustainable technologies, and applied informatics. His research has influenced both academic advancements and practical implementations in environmental and technological domains. His dedication to mentoring, teaching, and building international collaborations further reflects his commitment to excellence in research and academic service. Recognized for bridging theoretical and applied science, Professor Magafas stands out as a visionary researcher whose work continues to shape innovative approaches in physics-based systems and computational intelligence.
π Education :
Professor Magafas began his academic journey with a degree in Physics from the Aristotle University of Thessaloniki in 1987. He later earned his Ph.D. in 1992 from the Department of Electrical and Computer Engineering at the Democritus University of Thrace. His doctoral thesis focused on βDeposition Properties and Applications of Amorphous Semiconductors,β laying the foundation for his interdisciplinary research in electronics, materials science, and computational physics. This strong educational foundation equipped him with deep analytical and experimental skills, enabling him to contribute significantly to both theoretical and applied scientific domains. His academic training spans both pure and applied sciences, making him a versatile educator and innovative researcher in physics and informatics.
π’ Work Experience :
Professor Lykourgos Magafas has over 30 years of academic and research experience. He began his career as a Research Fellow at the Technological Institute of Kavala (1992β2005). He held academic appointments at Democritus University and Kavala Institute of Technology, progressing from Lecturer to Associate Professor. From 2010 to 2019, he was a full Professor at the Eastern Macedonia and Thrace Institute of Technology. He then served at the International Hellenic University before returning to Democritus University in 2025 as a Professor of Informatics. His diverse appointments highlight a strong record of research supervision, project leadership, and academic governance. He has also coordinated M.Sc. programs, demonstrating a strong commitment to interdisciplinary education and institutional development.
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Awards and Honors
Throughout his distinguished career, Professor Magafas has received multiple recognitions for his contributions to science and education. While specific named awards are not detailed in the provided record, his leadership as coordinator of major EU and national projects such as ASPIDA and GREEN PUMB demonstrates a high level of trust and acknowledgment from funding bodies and scientific institutions. He has served as coordinator for 7 out of 16 major projects, reflecting his respected standing in the research community. Additionally, his academic appointments at leading institutions and his role in curriculum development, such as the MSc in Economic Physics, highlight professional esteem and peer recognition. These accomplishments collectively attest to his reputation as a leading scientific and academic figure.
π¬ Research Focus :
Professor Magafasβ research spans applied physics, complex systems, computational intelligence, and informatics. He focuses on the integration of physics-based methods with real-world applications, particularly in environmental monitoring, energy systems, and economic modeling. His coordination of projects like ASPIDA and GREEN PUMB showcases expertise in autonomous monitoring systems and groundwater resource management. He is also active in developing algorithms for complex network analysis, with applications ranging from public health policy (e.g., COVID-19 analysis) to electrostatics and system modeling. His interdisciplinary approach blends theoretical physics with modern computational techniques, contributing to smart systems, sustainability, and decision-making frameworks. He also leads academic initiatives in Economic Physics, merging physics methodologies with financial forecasting and socio-economic dynamics.
π Publication Top Notes:
π Modeling and forecasting the COVID-19 temporal spread in Greece: An exploratory approach based on complex network defined splines β Cited by 81 β ποΈ 2020
π Electrical properties of a-SiC/c-Si (p) heterojunctions β Cited by 53 β ποΈ 1992
π Chaotic behaviour of a fourth-order autonomous electric circuit β Cited by 48 β ποΈ 2003
π§ͺ Cost estimation of polymeric adsorbents β Cited by 47 β ποΈ 2019
π¦ The effect of anti-COVID-19 policies on the evolution of the disease: A complex network analysis of the successful case of Greece β Cited by 45 β ποΈ 2020
π‘ Digital chaotic synchronized communication system β Cited by 42 β ποΈ 2009
π The Papadopoulos β Cited by 28 β ποΈ 2006
π The use of scaling properties to detect relevant changes in financial time series: A new visual warning tool β Cited by 26 β ποΈ 2021
π¬ Optical properties of Ξ±-SiC:H thin films grown by rf sputtering β Cited by 25 β ποΈ 1994
β‘ The influence of metal work function on electrical properties of metal/a-SiC:H Schottky diodes β Cited by 23 β ποΈ 1997