Faculty

Institution

Unit

Venue

Gheorghi Guzun

Associate Professor of Computer Engineering

San Jose State University

Affiliations

Charles W. Davidson College of Engineering

Department Of Computer Engineering

Department Of Software Engineering

San Jose State University

Gheorghi Guzun is currently serving as a Charles W. Davidson College Of Engineering Associate Professor of Computer Engineering at San Jose State University.

Honors

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Experiences

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Education

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Gheorghi Guzun

San Jose State University

Associate Professor of Computer Engineering

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data science machine learning computer science data mining information retrieval image compression data compression systems engineering informatics big data infrastructure engineering query analysis bitmap indices scalable preference queries high-dimensional data dynamic quantization high-dimensional similarity searches computational geometry computer vision analytics knowledge management information technology databases query optimization dimensionality reduction knowledge technology knowledge processing knowledge engineering map-reduce data analytics spatio-temporal models data aggregation search technology big data acquisition big data infrastructures infrastructure management preference aggregation tunable compression framework hard-to-compress bit-vectors hybrid query optimization high-dimensional spaces top-k query processing two-phase mapreduce algorithm word-aligned compression methods high-dimensional data analytics on-demand aggregation gridded data user-specified spatio-temporal domains

Notable Scholarly Works

Notable Federal Grants

Collaborators

CLP: A Platform for Competitive Learning. Lecture notes in computer science (2022)

Arpita VatsGheorghi GuzunDavid C. Anastasiu

computer sciencecompetitive learning

Faster Multidimensional Data Queries on Infrastructure Monitoring Systems. Big Data Research (2021)

infrastructure engineeringsystems engineeringbig data acquisitiondata scienceanalyticsbig datadata managementbig data infrastructures

High-Dimensional Similarity Searches Using Query Driven Dynamic Quantization and Distributed Indexing. Distributed and Parallel Databases (2019)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional similarity searchesdatabasesdynamic quantizationinformaticsdata sciencequery analysis

Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems. (2019)

infrastructure engineeringinfrastructure managementsystems engineeringdata sciencepreference aggregationoperations research

Distributed Query-Aware Quantization for High-Dimensional Similarity Searches. PubMed (2018)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional similarity searchescomputer sciencequery-aware quantizationmachine learningsearch technologyinformation retrievalquery analysis

Supporting Dynamic Quantization for High-Dimensional Data Analytics. (2017)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional data analyticsdynamic quantizationmachine learningdata sciencedata analytics

A Two-Phase Mapreduce Algorithm for Scalable Preference Queries Over High-Dimensional Data. (2016)

Gheorghi GuzunGuadalupe CanahuateDavid Chiu

two-phase mapreduce algorithmdata miningscalable preference queriesmachine learningdata sciencehigh-dimensional datainformation retrieval

On-Demand Aggregation of Gridded Data Over User-Specified Spatio-Temporal Domains. (2016)

Joel E. TosadoGheorghi GuzunGuadalupe CanahuateRicardo Mantilla

on-demand aggregationspatio-temporal modelsdata miningmachine learninggridded datadata sciencedata aggregationuser-specified spatio-temporal domains

Power Efficient Big Data Analytics Algorithms Through Low-Level Operations. 2021 IEEE International Conference on Big Data (Big Data) (2016)

Gheorghi GuzunJosiah C. McClurgGuadalupe CanahuateRaghuraman Mudumbai

data sciencebig datalow-level operations

Hybrid Query Optimization for Hard-To-Compress Bit-Vectors. The VLDB Journal (2015)

Gheorghi GuzunGuadalupe Canahuate

hard-to-compress bit-vectorscomputer sciencemachine learninghybrid query optimizationquery optimization

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Gheorghi Guzun

Associate Professor of Computer Engineering

San Jose State University

Affiliations

Charles W. Davidson College of Engineering

Department Of Computer Engineering

Department Of Software Engineering

San Jose State University

Gheorghi Guzun is currently serving as a Charles W. Davidson College Of Engineering Associate Professor of Computer Engineering at San Jose State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Gheorghi Guzun

San Jose State University

Associate Professor of Computer Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

CLP: A Platform for Competitive Learning. Lecture notes in computer science (2022)

Arpita VatsGheorghi GuzunDavid C. Anastasiu

computer sciencecompetitive learning

Faster Multidimensional Data Queries on Infrastructure Monitoring Systems. Big Data Research (2021)

infrastructure engineeringsystems engineeringbig data acquisitiondata scienceanalyticsbig datadata managementbig data infrastructures

High-Dimensional Similarity Searches Using Query Driven Dynamic Quantization and Distributed Indexing. Distributed and Parallel Databases (2019)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional similarity searchesdatabasesdynamic quantizationinformaticsdata sciencequery analysis

Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems. (2019)

infrastructure engineeringinfrastructure managementsystems engineeringdata sciencepreference aggregationoperations research

Distributed Query-Aware Quantization for High-Dimensional Similarity Searches. PubMed (2018)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional similarity searchescomputer sciencequery-aware quantizationmachine learningsearch technologyinformation retrievalquery analysis

Supporting Dynamic Quantization for High-Dimensional Data Analytics. (2017)

Gheorghi GuzunGuadalupe Canahuate

high-dimensional data analyticsdynamic quantizationmachine learningdata sciencedata analytics

A Two-Phase Mapreduce Algorithm for Scalable Preference Queries Over High-Dimensional Data. (2016)

Gheorghi GuzunGuadalupe CanahuateDavid Chiu

two-phase mapreduce algorithmdata miningscalable preference queriesmachine learningdata sciencehigh-dimensional datainformation retrieval

On-Demand Aggregation of Gridded Data Over User-Specified Spatio-Temporal Domains. (2016)

Joel E. TosadoGheorghi GuzunGuadalupe CanahuateRicardo Mantilla

on-demand aggregationspatio-temporal modelsdata miningmachine learninggridded datadata sciencedata aggregationuser-specified spatio-temporal domains

Power Efficient Big Data Analytics Algorithms Through Low-Level Operations. 2021 IEEE International Conference on Big Data (Big Data) (2016)

Gheorghi GuzunJosiah C. McClurgGuadalupe CanahuateRaghuraman Mudumbai

data sciencebig datalow-level operations

Hybrid Query Optimization for Hard-To-Compress Bit-Vectors. The VLDB Journal (2015)

Gheorghi GuzunGuadalupe Canahuate

hard-to-compress bit-vectorscomputer sciencemachine learninghybrid query optimizationquery optimization

1
2
10 / page