LabCompass

Yeasir Rayhan

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2019Rising activity
Data Management and AlgorithmsAdvanced Database Systems and QueriesCrime Patterns and InterventionsAnomaly Detection Techniques and ApplicationsParallel Computing and Optimization Techniques

Publications

14

Citations

59

Est. group size

~1

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Yeasir Rayhan works on data management and spatial computing, applying deep learning and algorithmic methods to problems like crime prediction, weather (lightning) prediction, and efficient querying or scheduling over spatial and road-network data. The work combines database/algorithm design with machine learning techniques such as attention-based models for prediction tasks.

Spatial data management and query processingDeep learning for prediction (crime, weather)Anomaly and pattern detectionAlgorithms for road networks and schedulingDatabase systems

Publication output was sparse before 2022 but has grown noticeably since 2023, suggesting an increasing and recently active publication pace.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
17182019: 1 publication192020: 1 publication20212022: 1 publication222023: 4 publications4232024: 2 publications242025: 2 publications252026: 3 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×5
  • ACM Transactions on Spatial Algorithms and Systems×2
  • Proceedings of the ACM on Management of Data×2
  • ArXiv.org×1
  • RUCforsk (Roskilde University)×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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