Kyumars Sheykh Esmaili joined Nokia Bell Labs as a Researcher at the end of 2014. Since then, he and his colleagues have been actively involved in building a stream processing platform for IoT applications.
Before joining Bell Labs, Kyumars was a Research Engineer at Technicolor's Research & Innovation Lab in Paris, France, where he was part of a team that built a large-scale, data-intensive monitoring and troubleshooting system for home networks.
Prior to that, he was a Research Fellow at Nanyang Technological University (NTU), Singapore. At NTU, he worked on improving the reliability and storage efficiency of HDFS, Apache Hadoop's distributed file system.
Kyumars obtained his PhD degree in computer science from ETH Zurich, Switzerland, in 2011. His PhD thesis dealt with a range of stream processing challenges in the context of complex applications. Among his contributions were (i) establishing a schema for data streams and exploiting it for efficient processing, (ii) defining lifecycle semantics for continuous queries, in particular for safe modification of continuous queries on the fly, and (iii) addressing the problem of provenance management on data streams.
His contributions on stream processing and Big Data management have appeared in the top publication venues in the field e.g., ACM ToIT'14, DEBS'13, IEEE Big Data Conference'13, SIGMOD'11 and EDBT'10.
Kyumars holds a Master's and a Bachelor's degree from Sharif University of Technology, Tehran, Iran, and has had short-term affiliations with University of Kurdistan as Lecturer and Adjunct Professor.