Nikolaos E. Panagiotou

Nikolaos E. Panagiotou is a Research Engineer at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been working since March 2014. He is also a Ph.D. candidate in Real-time Data Analysis in Massive Streams and Social Media at the same institution under the supervision of Prof. D. Gunopulos. He is an active member of the KDDLAB research group at the University of Athens, participating in EU research projects including INSIGHT and VaVeL.

His educational background includes:

• MSc. with Distinction in Artificial Intelligence, Learning from Data from the School of Informatics, University of Edinburgh (2012-2013)
• BSc. in Informatics and Telecommunications from the Department of Informatics and Telecommunications, University of Athens (2007-2011)

Dr. Panagiotou's research focuses on real-time analysis of high-volume data streams with particular emphasis on text and sensor streams, including news and social media content. His current research interests include:

• Text Mining: event detection, first story detection, open information extraction
• IoT/Smart-Cities: sensor analysis, heterogeneous sensor aggregation, real-time visualization
• Spatio-temporal Analysis: congested road-segments, travel time estimation, OSM

His work bridges theoretical research with practical applications in smart city technologies and real-time data processing systems.

His publication record demonstrates a strong focus on smart city applications, real-time data processing, and information extraction from diverse data sources. The research shows progression from foundational work on stream mining and event detection to sophisticated applications in urban mobility and news monitoring systems. His most recent work continues to advance techniques for handling sparse data environments and real-time analytics, with particular emphasis on travel time estimation and hybrid analytical approaches.

Dr. Panagiotou has been involved in significant EU-funded projects:

• INSIGHT project: Implementation of real-time analysis modules and visualization engine for the smart city of Dublin
• VaVeL project: Design of integration schemes and development of real-time analysis modules using spatio-temporal data

He has developed multiple demonstration systems including the News Monitor for real-time news analysis and various smart city monitoring dashboards.

His technical expertise spans real-time data processing, stream mining, spatio-temporal analysis, and visualization systems, with applications in urban mobility and news monitoring. His collaborative work with researchers across Europe demonstrates his integration into the international research community in data science and smart city applications.