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.

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News
[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!
Research Interest

Database Systems in Modern Hardware (SIMD Vectorization), Machine Learning for Database Systems, Spatio-Temporal Data Mining

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

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

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

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

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

Arxiv/Preprints
[3] GTX: A Write-Optimized Latch-free Graph Data System with Transactional Support
Libin Zhou, Yeasir Rayhan, Lu Xing, Walid. G. Aref
Arxiv/Preprint, 2024
PDF

[2] 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

[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