Yesdaulet Izenov

Database Research Group. University of California Merced.

Large-Scale Data Analytics Lab. Iowa State University.

S&E 2 Bldg, RM 313

5200 North Lake Rd.

Merced, CA 95348

Research focus is in database and data management systems. Special topics include query optimization, cardinality estimation, join operator algorithms and plan enumeration.

Interested roles in: query optimization in database and data management systems.

Doctor of Philosophy (Ph.D.) (08/2018-12/2023)
EECS Department at UC Merced
Supervised by Florin Rusu
Merced, California, USA

Master’s Degree (01/2016-05/2018)
Computer Engineering at Iowa State University
Supervised by Srikanta Tirthapura
Thesis Project
Ames, Iowa, USA

Bachelor’s Degree (09/2009-06/2013)
Information Systems at International IT University
Almaty, Kazakhstan

news

Nov 27, 2023	Defended dissertation, "Query Optimization using Sketches in Relational Database Systems".
Nov 20, 2023	Published research paper, Sub-optimal Join Order Identification with L1-error, to ACM International Conference on Special Interest Group on Management of Data (SIGMOD’24). Code repository is on GitHub.
Nov 20, 2023	Published research paper, Approximate Sketches, to ACM International Conference on Special Interest Group on Management of Data (SIGMOD’24). Code repository is on GitHub.
Aug 28, 2023	Attended 49th International Conference on Very Large Data Bases (VLDB’23).
May 11, 2023	Poster presentation at Northern California Database Day Workshop at Microsoft, Mountain View.
Apr 16, 2023	Talk at Research Symposium at University of California Merced, EECS Department.
Apr 14, 2023	Peer reviewer at IEEE Transactions on Knowledge and Data Engineering (TKDE’23).
Oct 7, 2022	Peer reviewer at IEEE Transactions on Knowledge and Data Engineering (TKDE’22).
Jul 28, 2022	Invited Talk at Meta (Facebook) about COMPASS: Online Sketch-based Query Optimization for In-Memory Databases for Meta Database Researchers and Engineers.
Jun-Sep, 2022	Our paper, COMPASS query optimizer, published at SIGMOD’21 has received the three ACM badges for Artifacts Available, Artifacts Evaluated & Reusable, and Results Reproduced.
Jun-Sep, 2022	Data Engineer Ph.D. Intern at Meta (Facebook).
Jun 12, 2022	Attended ACM International Conference on Special Interest Group on Management of Data (SIGMOD’22).
Apr 19, 2022	Peer reviewer at 34nd International Conference on Scientific and Statistical Database Management (SSDBM’22).
Jan-Jun, 2022	Research Assistant Intern at Oracle MySQL Heatwave working on Auto Shape Prediction to optimally choose appropriate cloud computing resources depending on OLTP workload behaviors.
Jan 9, 2022	Attended The Conference on Innovative Data Systems Research (CIDR'22).
Dec 1, 2021	Advanced to Ph.D. Candidacy.
Nov 18, 2021	Passed Ph.D. Qualifying Examination.
Aug 16, 2021	Attended 47th International Conference on Very Large Data Bases (VLDB’21).
Jul 28, 2021	News Article about our query optimization research at UC Merced News Feed.
Jun 21, 2021	Conference Talk [Video] about COMPASS: Online Sketch-based Query Optimization for In-Memory Databases at SIGMOD’21, Curated Session: Data Structures.
Jun 20, 2021	Attended ACM International Conference on Special Interest Group on Management of Data (SIGMOD’21).
May 5, 2021	Peer reviewer at 33nd International Conference on Scientific and Statistical Database Management (SSDBM’21).
Apr 23, 2021	Seminar Talk Online Sketch-based Query Optimization at Seminar Series at University of California Merced, EECS Department.
Feb 11, 2021	Peer reviewer at ACM International Conference on Special Interest Group on Management of Data (SIGMOD’21).
Jan 11, 2021	Attended The Conference on Innovative Data Systems Research (CIDR'21).
Dec 31, 2020	Published research paper, COMPASS, to ACM International Conference on Special Interest Group on Management of Data (SIGMOD’21). Extended version is on arXiv. Code repository is on GitHub.
Oct 10, 2020	Peer reviewer at IEEE International Conference on Big Data (BigData’20).
Oct 1, 2020	Our work, COMPASS: Online Sketch-based Query Optimization for In-Memory Databases, will be supported by NSF -- Funding 2020-2023.
Aug 31, 2020	Attended 46th International Conference on Very Large Data Bases (VLDB’20).
Jun 14, 2020	Attended ACM International Conference on Special Interest Group on Management of Data (SIGMOD’20).
Apr 14, 2020	Peer reviewer at 14th ACM International Conference on Distributed and Event-Based Systems (DEBS’20).
Mar 27, 2020	Peer reviewer at 32nd International Conference on Scientific and Statistical Database Management (SSDBM’20).
Nov 14, 2019	Expert Board at Internships in IT startups at Shakhmardan Yessenov Science and Education Foundation.
Aug 26, 2019	Attended 45th International Conference on Very Large Data Bases (VLDB’19) in Los Angeles, CA.
May 4, 2019	Expert Board at Data Lab at Shakhmardan Yessenov Science and Education Foundation.
May 1, 2019	Poster presentation at Northern California Database Day Workshop at Linkedin HQ, Mountain View.
Apr 26, 2019	Attended National Labs Day at UC Merced.
Mar 19, 2019	Peer reviewer at 31st International Conference on Scientific and Statistical Database Management (SSDBM’19).
Sep 20, 2016	Attended The Midwest Big Data Summer School at Iowa State University.
Jan 5, 2014	Studied one-year English Language Program at UC Davis.