Anderson Carniel is a Principal Database Researcher with nine years of experience blending academic rigor and industrial R&D to advance large-scale analytical and spatial database systems. At Huawei R&D (UK) he has driven innovations in adaptive query optimization and analytical query performance, building on a PhD focused on spatial indexing for flash-based SSDs. Previously an assistant professor who won a 2022 Google Research Scholar Award in the Geo category, he has a strong publication record in SIGSPATIAL, TKDE, TGIS and related venues and has taught data science and database courses. He helped found an MBA in Data Science and brings proven ability to translate research prototypes into practical system designs. Based in Edinburgh, he combines deep expertise in spatial data modeling and query processing with managerial skills that bridge academia and product-focused engineering. An uncommon strength is his hardware-aware perspective on indexing and query processing informed by his dissertation work on SSD-optimized spatial indexes.
9 years of coding experience
6 years of employment as a software developer
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
Ph.D. in Computer Science and Computational Mathematics Spatial Indexing on Flash-based Solid State Drives, Ph.D. in Computer Science and Computational Mathematics Spatial Indexing on Flash-based Solid State Drives at USP - Universidade de São Paulo
MSc in Computer Science Data Modeling/Warehousing and Database Administration, MSc in Computer Science Data Modeling/Warehousing and Database Administration at UFSCar - Universidade Federal de São Carlos
Contributions:9 releases, 2 reviews, 142 commits in 1 year 9 months
r-packagefuzzyspatialspatial-datafuzzy-logic
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