Reza Karimi, Data Scientist at Elsevier

Reza Karimi

Data Scientist, Elsevier

Dr. Reza Karimi is currently a lead data scientist in Elsevier Search and Data Science Division. His work is focused on content modeling with deep learning, entity resolution, author disambiguation, and network analysis of research communities. Formerly, he was a research scientist and a project lead in Philips Research, where he worked on predictive maintenance of remote devices as well as healthcare productivity and quality analysis. He has a PhD in mechanical engineering from MIT with extensive experience in parallel processing of multi-dimensional images as well as statistical analysis and data mining of molecular trajectories during transport into nucleolus.


Deduplication and Author-Disambiguation of Streaming Records via Supervised Models Based on Content Encoders

Here we present a general supervised framework for record deduplication and author-disambiguation via Spark. This work differentiates itself by – Application of Databricks and AWS makes this a scalable implementation. Compute resources are comparably lower… Read more