Yeasir Rayhan

Yeasir Rayhan
yrayhan [at] purdue [dot] edu

I am a 5th year PhD student in Computer Science at Purdue University, advised by Professor Walid G. Aref.
My primary research interest is in Database Management Systems, with an emphasis on leveraging modern hardware and machine learning to design hardware-conscious database kernels.

CV / Github / Twitter / Scholar

News

[Nov '25]	P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction has been accepted in SIGMOD'26!
[June '25]	Attended SIGMOD 2025 in Berlin, Germany!
[April '25]	Exploring Next Token Prediction For Optimizing Databases has been accepted in aiDM@SIGMOD 2025!
[March '25]	Two preprints available on arXiv: Revisiting Page Migration for Main-Memory Database Systems and Exploring Next Token Prediction For Optimizing Databases.
[March '25]	Gave a talk on "Profile-Guided Learned Database Kernels" at the inaugural Purdue CS Graduate Symposium.
[Sep '23]	Our paper SIMD-ified R-tree Query Processing and Optimization. has been accepted in ACM SIGSPATIAL 2023!

Selected Works

[6]	P-MOSS: Scheduling Main-Memory Indexes Over NUMA Servers Using Next Token Prediction. Yeasir Rayhan, Walid G. Aref To appear at SIGMOD, 2026 [Arxiv]
[5]	Exploring Next Token Prediction For Optimizing Databases. Yeasir Rayhan, Walid G. Aref aiDM@SIGMOD, 2025 [In-house] [Arxiv] [Slide]
[4]	Revisiting Page Migration for Main-Memory Database Systems. Yeasir Rayhan, Walid G. Aref Arxiv/Preprint, 2025 [Arxiv]
[3]	GTX: A Write-Optimized Latch-free Graph Data System with Transactional Support Libin Zhou, Lu Xing, Yeasir Rayhan, Walid. G. Aref SIGMOD, 2025 [PDF] [Arxiv] [Code]
[2]	SIMD-ified R-tree Query Processing and Optimization. Yeasir Rayhan, Walid G. Aref SIGSPATIAL, 2023 [PDF] [Code]
[1]	ILX: Intelligent "Location+X" Data Systems (Vision Paper) Walid G. Aref, Ahmed M. Aly, Anas Daghistani, Yeasir Rayhan, Jianguo Wang, Libin Zhou Arxiv/Preprint, 2022 [Arxiv]