About
Charaf Hassan is a Professor and Head of Department at the Budapest University of Technology and Economics, specifically in the Department of Automation and Applied Informatics. His work spans interdisciplinary domains, focusing on distributed systems, network coding, and IoT technologies.
His research interests include
- Distributed Systems and Domain-Specific Modeling
- Network Coding and Mobile Peer-to-Peer Systems
- Model-Driven Development for Multiplatform Applications
- Machine Learning in Fluid Dynamics and Pharmaceutical Analysis
Recent publications highlight trends in applying convolutional neural networks to viscosity estimation, model-driven methodologies for IoT, and network coding in cloud storage. He teaches advanced courses in distributed systems and software architectures at the university level.
Research fields
Distributed SystemsNetwork CodingInternet of Things (IoT)Artificial Neural NetworksComputer VisionModel-Driven DevelopmentMobile ApplicationsSoftware ArchitecturesData MiningCloud ComputingRaman SpectroscopySocial Networks AnalysisBitTorrent NetworksCooperative CommunicationMobile Resource Management
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