Yeasir Rayhan
yrayhan [at] purdue [dot] edu

I am a 4th 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.

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News
[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!
Publications/Preprints
[6] Exploring Next Token Prediction For Optimizing Databases.
Yeasir Rayhan, Walid G. Aref
Arxiv/Preprint, 2025
Arxiv

[5] Revisiting Page Migration for Main-Memory Database Systems.
Yeasir Rayhan, Walid G. Aref
Arxiv/Preprint, 2025
Arxiv

[4] GTX: A Write-Optimized Latch-free Graph Data System with Transactional Support
Libin Zhou, Lu Xing, Yeasir Rayhan, Walid. G. Aref
To appear at SIGMOD, 2025
Arxiv

[3] P-MOSS: Learned Scheduling For Indexes Over NUMA Servers Using Low-Level Hardware Statistics.
Yeasir Rayhan, Walid G. Aref
Arxiv/Preprint, 2024 Arxiv

[2] SIMD-ified R-tree Query Processing and Optimization.
Yeasir Rayhan, Walid G. Aref
SIGSPATIAL, 2023
PDF

[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
PDF

Others
[4] An Efficient Approach for Indoor Facility Location Selection.
Yeasir Rayhan, Tanzima Hashem, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali
EDBT, 2023
PDF

[3] AIST: An Interpretable Attention-based Deep learning Model for Crime Prediction
Yeasir Rayhan, Tanzima Hashem
ACM TSAS, 2023
Arxiv | Code | Demo1 | Demo2

[2] Efficient Scheduling of Generalized Group Trips in Road Networks
Yeasir Rayhan, Tanzima Hashem, Roksana Jahan, Muhammad Aamir Cheema
ACM TSAS, 2019
PDF | Poster | Slide

[1] Deep Learning Based Crime Prediction Models: Experiments and Analysis
Rittik Basak Utsha, Muhtasim Noor Alif, Yeasir Rayhan, Tanzima Hashem, Mohammad Eunus Ali
Arxiv/Preprint, 2024
PDF