LabCompass

Niranda Perera

Computer Science · Indiana University

OpenAlex ORCID
Cloud Computing and Resource ManagementScientific Computing and Data ManagementDistributed and Parallel Computing SystemsAdvanced Data Storage TechnologiesParallel Computing and Optimization Techniques

Publications

24

Citations

62

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Niranda Perera works in computer science on systems for processing large-scale data efficiently. The research focuses on building data engineering and analysis pipelines that combine distributed and high-performance computing with deep learning, especially for scientific computing tasks that mix different types of hardware and data. In practical terms, this means designing software that lets many computers work together to handle big datasets quickly.

Distributed and parallel computingData engineering pipelinesHigh-performance and scientific computingCloud computing and resource managementDeep learning at scale

Publication activity rose to a peak around 2020-2023 and has been steady-to-modest more recently, averaging about 2.4 papers per year over the last five years.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
17182019: 2 publications192020: 4 publications202021: 6 publications6212022: 4 publications222023: 4 publications232024: 3 publications24252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×8
  • Lecture notes in computer science×3
  • Concurrency and Computation Practice and Experience×3
  • Frontiers in High Performance Computing×1
  • Future Generation Computer Systems×1

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 11, 2026.

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