Scholar
Abdullah Alomar
Google Scholar ID: KrPwOPcAAAAJ
Massachusetts Institute of Technology, King Abdulaziz City for Science and Technology
Citations & Impact
Citations
240
H-index
9
i10-index
8
Publications
14
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- - Publications:
- - SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise, NeurIPS 2023.
- - CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation, NSDI 2023 (Best Paper Award).
- - Change Point Detection via Multivariate Singular Spectrum Analysis, NeurIPS 2021.
- - PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators, NeurIPS 2021.
- - On Multivariate Singular Spectrum Analysis, SIGMETRICS 2022.
Research Experience
- - Senior Data Scientist Intern, IBM, Jun 2021 – Sep 2021, Remote.
- - Graduate Research Assistant, Laboratory for Information and Decision Systems (LIDS) at MIT, May 2019 – Present, Cambridge, MA, USA.
- - Research Specialist, King Abdulaziz City for Science and Technology (KACST), Oct 2016 – Jun 2018, Riyadh, Saudi Arabia.
- - Research Intern, King Abdullah University for Science and Technology (KAUST), Jun 2015 – Aug 2015, Thuwal, Saudi Arabia.
Education
- - Ph.D. in Electrical Engineering and Computer Science (expected), 2024, Massachusetts Institute of Technology, Advisor: Prof. Devavrat Shah.
- - M.Sc. in Electrical Engineering and Computer Science, 2021, Massachusetts Institute of Technology.
- - M.Sc. in Computational Science and Engineering, 2021, Massachusetts Institute of Technology.
- - B.Sc. in Electrical Engineering, 2016, King Saud University.
Background
- - Research Interests: Time Series Analysis, Reinforcement Learning, High-dimensional Statistics.
- - Field: Electrical Engineering and Computer Science.
- - Background: Ph.D. student in Electrical Engineering and Computer Science at MIT, affiliated with the Laboratory for Information and Decision Systems (LIDS) and Institute for Data, Systems, and Society (IDSS), advised by Professor Devavrat Shah.
