I am a Senior Scientist in Microsoft Gray Systems Lab (GSL), working at the intersection of database theory and big data management systems. I obtained my Ph.D. in Computer Science from the University of California, San Diego, under the supervision of Prof.Alin Deutsch. While at UCSD, I was a member of the Database Lab and Center for Networked Systems. My research focuses on semantic query optimizations in hybrid stores, solutions for enabling unified query optimization across different engines, languages/models for integrating disparate data, and scalable self-tuning big data management systems.
Contact: [fullname without space]@microsoft[dot]com
News
6/2024 - Our workload forecasting project was highlighted in the Microsoft Research Blog!
10/2023 - Our work on workload forecasting got accepted at SIGMOD 24!
10/2023 - I presented my work on semantic query optimization in modern hybrid stores at University of Washington PLSE Group
03/2023 - I serve as a member of the program committee VLDB 2023 - Industrial Track
12/2022 - I serve as a member of the program committee SIGMOD 2024
07/2022 - I joined Microsoft Gray Systems Lab (GSL) as a Senior Scientist
05/2022 - I defened my Ph.D in the spring of 2022!
03/2022 - Ioana Manolescu presented our work HADAD at University of Oxford, Data and Knowledge Seminar
07/2021 - HADAD and ESTOCADA are presented in Huawei Cloud InnovWave Conference 2021
03/2021 - Our paper on optimizing hybrid analytical tasks is accepted to SIGMOD 2021
01/2021 - I will be joining Microsoft Gray Systems Lab this summer as a research intern. Looking forward to a great summer!
03/2021 - Presented our work Towards Scalable Polystore Systems at Microsoft Gray Systems Lab (invited talk)
05/2020 - ESTOCADA demo has been accepted to VLDB 2020
Eduction
University of California, San Diego: Doctor of Philosophy in Computer Science, 2017.09 - 2022.06
University of California, San Diego: Master of Computer Science, 2014.9 - 2016.6
Imam Muhammad Ibn Saud University: Bachelor of Computer Science & Information System, 2006.9 - 2011.6
Professional Service
Program Committee Member: ICDE 25 SIGMOD 25, SIGMOD 24, ICDE (DEMO) 24, VLDB 23, DBML@ICDE 23, DBML@ICDE 22
External Reviewer: SIGMOD 22
Mentorship: Hangdong Zhao (GSL Internship'24), Stefan Grafberger (GSL Summer Internship'23), Yifei Yang (MS, CSE UCSD), Ray Andrus (BS, CSE UCSD)
Professional Experince
Microsoft, Redmond, WA
Microsoft, Redmond, WA
IBM Research Almaden Center, San Jose, CA
IBM Research Almaden Center, San Jose, CA
Inria De Saclay, France
Papers
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud
Brian Kroth, Sergiy Matusevych, Rana Alotaibi, Yiwen Zhu, Anja Gruenheid, Yuanyuan Tian
VLDB 2024
SIBLY: Characterizing and Forecasting Evolving Query Workloads
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jes’us Camacho-Rodr ́ıguez, Yuanyuan Tian
SIGMOD 2024
NL2SQL is a solved problem... Not!
Avrilia Floratou, Fotis Psallidas, Fuheng Zhao, Shaleen Deep, Gunther Hagleither, Wangda Tan, Joyce Cahoon, Rana Alotaibi,
Jordan Henkel, Abhik Singla, Alex Van Grootel, Brandon Chow, Kai Deng, Katherine Lin, Marcos Campos, Venkatesh Emani,
Vivek Pandit, Victor Shnayder, Wenjing Wang, Carlo Curino
CIDR 2024
Towards Building Autonomous Data Services on Azure Paper
The GSL Team
SIGMOD 2023
Heterogeneous Data Management Revisited: from Mediators to Modern Polystores
Rana Alotaibi, Maxime Buron, Alin Deutsch, Fran ̧cois Goasdou ́ee and Ioana Manolescu
French Summer School on Massive Distributed Data (MDD) 2022
HADAD:A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries Paper
Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Ioana Manolescu
SIGMOD 2021
HERMES: Data Placement and Schema Optimization for Enterprise knowledge bases Paper
Chuan Lei, Abdul Quamar, Vasilis Efthymiou, Fatma Özcan, Rana Alotaibi
The VLDB Joural 2021
Property Graph Schema Optimization for Domain-Specific Knowledge Graphs Paper
Rana Alotaibi, Chuan Lei, Abdual Quamar, Vasilis Efthymiou and Fatma O ̈zcan
ICDE 2021
ESTOCADA: Towards Scalable Polystore Systems Paper
Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Moustafa Latrache, Ioana Manolescu and Yifei Yang
VLDB 2020
Towards Scalable Hybrid Stores: Constraint-based Rewriting to the Rescue Paper
Rana Alotaibi, Bogdan Cautis, Alin Deutsch, Moustafa Latrache, Ioana Manolescu and Yifei Yang
SIGMOD 2019
Talks
HADAD:A Lightweight Approach for Optimizing Hybrid Complex Analytics Queries
University of Washington, Seattle - PLSE & Database group (Invited) - 2023
ACM SIGMOD Xi’an, Shaanxi, China - 2021
Microsoft Gray Systems Lab (GSL) - 2021
Generalized Computation Reuse Framework in Analytics Job Service at Microsoft
Microsoft Gray Systems Lab (GSL) - 2021
Towards Scalable Hybrid Stores
Microsoft Research Talk Series (Invited) - 2020
ESTOCADA Scalable Hybrid Stores: Constraint-Based Rewriting to the Rescue
ACM SIGMOD Amsterdam, Netherlands - 2019
UCSD CNS Research Review - 2019
UCSD CSE Open Research House -2019
Workload-aware Data Placement and Querying of Knowledge-bases over Hybrid Stores
Database Group IBM Research, Almaden - 2017