جست‌وجوی استاد و پژوهشگر

• Information Retrieval
• Databases
• Data Mining
• +۲ مورد دیگر

Arapatzis Avgerinos is a Professor at the Department of Computer Science & Information Technology within the Polytechnic School of the University of Thessaloniki , where he has been a faculty member since November 2009. His work bridges theoretical and applied research in information retrieval and data science. Education: BSc in Computer Engineering & Informatics, University of Patras (1996) PhD, Radboud University, Netherlands (2001) Research Interests: A specialist in Information Retrieval , Data Mining , and Natural Language Processing , his work spans Databases , Search Engine Privacy , Sentiment Analysis , and Contextual Suggestion Systems . His research integrates machine learning with domain-specific challenges in environmental science, cybersecurity, and business intelligence. Scientific Contributions: His publications (over 85 as of 2020) focus on hybrid retrieval methods, social media analysis, and privacy-enhanced systems. Recent work includes advancements in federated learning, climate change discourse analysis, and keystroke dynamics applications. Projects: He has participated in EU Horizon 2020 projects like ODYSSEA and FP7 initiatives such as CARRE, contributing to interdisciplinary research in medical informatics and environmental monitoring.

• Keystroke Dynamics
• Machine Learning
• Data Mining
• +۶ مورد دیگر

Ioannis Tsimperidis is a Researcher at the Department of Informatics, Democritus University of Thrace (DUTH). His career includes roles as a Secondary Education teacher (2006-2021) and industry executive (2003-2004). Since 2021, he has been affiliated with DUTH's DI.PAE unit, focusing on interdisciplinary research. Education: BSc (Electrical & Computer Engineering, Aristotle University of Thessaloniki, 1997); MSc/PhD (Democritus University of Thrace, 2002/2017). Research interests span keystroke dynamics for user profiling, machine learning applications in cybersecurity and education, and deep learning for material defect detection. His work bridges behavioral science and engineering, with notable contributions to age/education-level prediction via typing patterns and marble crack detection via RGB-thermal fusion. Publications reflect a dual focus: technical advancements in keystroke-based user identification and pedagogical innovations in STEM education. His 2023-2024 work highlights cross-disciplinary impact, applying AI to both industrial (marble quality control) and educational challenges (mobile tech barriers). No awards/grants explicitly mentioned. Advising record unavailable. Active in multiple educational structures including IN.EP., D.I.E.K., and K.E.K., demonstrating sustained engagement with diverse educational frameworks.