Anderson Carniel

Principal Database Researcher

City of Edinburgh, Scotland, United Kingdom
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Summary

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Senior
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Top School
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.
code9 years of coding experience
job6 years of employment as a software developer
bookInstituto Federal de Educação, Ciência e Tecnologia de São Paulo
bookPh.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
bookMSc 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
languagesEnglish, Portuguese
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Github Skills (10)

fuzzy-logic10
r-package10
spatial-data9
spatial9
indices8
fuzzy8
postgresql-extension7
algebra5
postgresql5
jekyll3

Programming languages (2)

CHTML

Github contributions (5)

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accarniel/VagueGeometry

Aug 2017 - Oct 2018

The VagueGeometry is a PostgreSQL extension for handling vague spatial data based on the VASA (Vague Spatial Algebra).
Contributions:2 releases, 14 commits, 5 PRs in 1 year 1 month
postgresql-extensionspatialspatial-dataalgebrahandling
accarniel/fsr

Oct 2020 - Aug 2022

An R package for handling fuzzy spatial data
Contributions:9 releases, 2 reviews, 142 commits in 1 year 9 months
r-packagefuzzyspatialspatial-datafuzzy-logic
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Anderson Carniel - Principal Database Researcher