Supun Abeysinghe

Computer Science · Purdue University West Lafayette

Early career · publishing since 2018Rising activity

Sentiment Analysis and Opinion Mining Advanced Database Systems and Queries Cloud Computing and Resource Management Logic, programming, and type systems Advanced Text Analysis Techniques

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2018

Research summary

AI-generated

Supun Abeysinghe's work spans several areas of computer science, including data engineering systems (such as tools for efficiently keeping database views up to date as underlying data changes), server performance tuning (automatically adjusting resources in application servers), and natural language processing tasks like detecting emotions in social media text and analyzing tourism-related social media data. The publication record suggests work bridging systems engineering and text/data analytics applications.

Data engineering and incremental computationEmotion and sentiment detection in textSocial media analyticsApplication server performance tuningNatural language processing

Publication activity has been irregular over the past decade, with a burst of output in 2018, gaps in several years, and renewed activity from 2022 onward including upcoming 2026 work.

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

Publication cadence

Publications per year over the last 10 years — averaging 2.0/year recently

Recent publications

Enzyme: Incremental View Maintenance for Data Engineering
arXiv (Cornell University) · 2026
Enzyme: Incremental View Maintenance for Data Engineering
arXiv (Cornell University) · 2026
Enzyme: Incremental View Maintenance for Data Engineering
2026
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
arXiv (Cornell University) · 2019
ADAPT-T: An Adaptive Algorithm for Auto-Tuning Worker Thread Pool Size in Application Servers
2019
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
2018
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
2018
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection
arXiv (Cornell University) · 2018
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics
arXiv (Cornell University) · 2018
Enhancing Decision Making Capacity in Tourism Domain Using Social Media\n Analytics
arXiv (Cornell University) · 2018
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule\n Network Based Approach for Implicit Emotion Detection
arXiv (Cornell University) · 2018

Publishes in

arXiv (Cornell University)×9
Proceedings of the ACM on Programming Languages×2
Lecture notes in computer science×2
Proceedings of the 2022 International Conference on Management of Data×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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