Giatrakos Nikos

Nikos Giatrakos is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the Technical University of Crete. His primary research focuses on Big Data Management, Real-Time Analytics, and distributed systems. He holds a PhD in Computer Science from the University of Piraeus (2012), an MSc from Athens University of Economics and Business (2007), and a Diploma in Computer Science from the University of Piraeus (2006).

His research interests include Big streaming Data & Real-Time Analytics, Distributed/Decentralized Big Data Processing, Federated Machine Learning, Edge-to-Cloud Data Management, and Complex Event Processing. He has contributed to EU projects as a key investigator and received the Best Demo Award in ACM CIKM 2020 for innovative work in streaming analytics.

Notable research trends in his articles emphasize real-time resource optimization (e.g., tumor simulations over HPC), adaptive event forecasting, and distributed systems for large-scale data processing. His work bridges theoretical algorithms with practical implementations, such as the SuBiTO framework for neural learning and the FERARI system for multi-cloud event processing.

• Awards: Best Demo Award (ACM CIKM 2020)
• Key Projects: EU-funded initiatives on extreme-scale analytics and federated learning
• Grants: Contributions to multi-site and cross-platform analytics research

He leads efforts in extreme-scale analytics-as-a-service (e.g., the INFORE approach) and has developed tools like SheerMP for scalable streaming services. His work often addresses challenges in edge computing, IoT workflows, and geospatial event detection over maritime or movement data.