About
Daniel RANC is a Senior Lecturer at Telecom SudParis, affiliated with the NeSS research group within the SAMOVAR laboratory. His academic work focuses on Big Data processing, cloud computing, and IP Multimedia Subsystem (IMS) networks, with particular expertise in data modeling, NoSQL databases, and quality of service management.
His research interests span multiple domains including Big Data analytics, where he has developed preprocessing and modeling tools; cloud computing with predicate-based resource management; and telecommunications with a focus on IMS networks and QoS management. His work demonstrates strong interdisciplinary connections between data science, network engineering, and educational technology.
RANC's publication record shows consistent contributions to his fields from 2007 through 2016, with a particular concentration on Big Data processing frameworks and network management systems. His research demonstrates a progression from eLearning systems interoperability toward more complex Big Data and cloud computing challenges.
Daniel RANC collaborates extensively with researchers including Hadi Hashem and Brahim Raouyane, with whom he has co-authored numerous publications across multiple conferences and journals. His work appears in reputable venues including Foundations of Computing and Decision Sciences, International Journal of Computer Science and Applications, and various IEEE conferences.
