Research

Profiles

• Google Scholar
• ORCID: 0000-0001-9162-7981
• Scholar Works

Journal Publications

• Yinghua Qin and Guzun, Gheorghi. “Faster Multidimensional Data Queries on Infrastructure Monitoring Systems” Big Data Research Journal: (2022) 1-23

• Guzun, Gheorghi, and Guadalupe Canahuate. “High-Dimensional Similarity Searches using Query Driven Dynamic Quantization and Distributed Indexing” Distributed and Parallel Databases (2019): 1-32.

• Guzun, Gheorghi, and Guadalupe Canahuate. “Hybrid query optimization for hard-to-compress bit-vectors.” The VLDB Journal 25.3 (2016): 339-354.

• Guzun, Gheorghi, and Guadalupe Canahuate. “Performance evaluation of word-aligned compression methods for bitmap indices.” Knowledge and Information Systems 48.2 (2016): 277-304.

• Guzun, Gheorghi, Joel Tosado, and Guadalupe Canahuate. “Slicing the dimensionality: Top-k query processing for high-dimensional spaces.” Transactions on Large-Scale Data-and Knowledge-Centered Systems XIV. Springer Berlin Heidelberg, 2014. 26-50.

Conference Proceedings

• Arpita Vats, Gheorghi Guzun, and David Anastasiu. “CLP: A Platform for Competitive Learning” Proceedings of the European Conference on Technology Enhanced Learning. Toulouse, France, 2022. EC-TEL 2022.

• Yinghua Qin and Guzun, Gheorghi “Multidimensional Preference Query Optimization on Infrastructure Monitoring Systems” In Big Data (Big Data), 2019 IEEE International Conference on,Los Angeles, CA, 2019. IEEE, 2019.

• Guzun, Gheorghi, and Guadalupe Canahuate. “Distributed query-aware quantization for high-dimensional similarity searches.” Proceedings of the 21st international conference on Extending Database Technology. Vienna, Austria 2018. ACM EDBT 2018.

• Guzun, Gheorghi, and Guadalupe Canahuate. “Supporting Dynamic Quantization for High-Dimensional Data Analytics.” Proceedings of the ExploreDB’17. Chicago, IL, USA, 2017. ACM SIGMOD, 2017.

• Guzun, Gheorghi, Josiah C. McClurg, Guadalupe Canahuate, and Raghuraman Mudumbai. “Power efficient big data analytics algorithms through low-level operations.” In Big Data (Big Data), 2016 IEEE International Conference on, pp. 355-361. Washington, DC, USA, 2016. IEEE, 2016.

• Tosado, Joel E., Gheorghi Guzun, Guadalupe Canahuate, and Ricardo Mantilla. “On-demand aggregation of gridded data over user-specified spatio-temporal domains.” In Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 62. San Francisco, CA, USA, 2016. ACM, 2016.

• Guzun, Gheorghi, Guadalupe Canahuate, and David Chiu. “A two-phase mapreduce algorithm for scalable preference queries over high-dimensional data.” In Proceedings of the 20th International Database Engineering & Applications Symposium, pp. 43-52. Montreal, QC, Canada, 2016. ACM, 2016.

• Guzun, Gheorghi, Joel E. Tosado, and Guadalupe Canahuate. “Scalable preference queries for high-dimensional data using map-reduce.” In Big Data (Big Data), 2015 IEEE International Conference on, pp. 2243-2252. Santa Clara, CA, 2015. IEEE, 2015.

• Guzun, Gheorghi, Guadalupe Canahuate, David Chiu, and Jason Sawin. “A tunable compression framework for bitmap indices.” In Data Engineering (ICDE), 2014 IEEE 30th International Conference on, pp. 484-495. Chicago, IL, USA, 2014. IEEE ICDE, 2014.

• Doan, Fredton, David Chiu, Brasil Perez Lukes, Jason Sawin, Gheorghi Guzun, and Guadalupe Canahuate. “Dynamic bitmap index recompression through workload-based optimizations.” In Proceedings of the 17th International Database Engineering & Applications Symposium, pp. 96-105. Barcelona, Spain, 2013. ACM, 2013.

Doctoral Dissertation

• Guzun, Gheorghi. Distributed indexing and scalable query processing for interactive big data explorations. Doctoral Dissertation. University of Iowa, 2016.

Research Awards

• National Science Foundation (NSF) CAREER Award: Scalable and Adaptable Sparsity-driven Methods for more Efficient AI Systems, 2023. Role: Principal Investigator

• Featured work in SJSU Research Foundation Annual Report (2024), San Jose State University Research Foundation. Role: Principal Investigator

• Davidson Student Scholar Award, (multiple awards) (supporting graduate students’ research), San José State University, San José, CA.