LabCompass

Luke Dalessandro

Computer Science · Indiana University

OpenAlex
Distributed systems and fault toleranceParallel Computing and Optimization TechniquesAdvanced Data Storage TechnologiesCognitive Functions and MemorySeismic Imaging and Inversion Techniques

Publications

41

Citations

1,275

Est. group size

—

Recurring co-author estimate

Active years

19

Publishing since 2007

Research summary
AI-generated

Luke Dalessandro works in computer science with a focus on high-performance and parallel computing. Their research spans numerical methods for solving complex equations (such as adaptive wavelet techniques for modeling physical systems like material damage), scalable algorithms for processing large graphs, and low-level software instrumentation techniques for analyzing programs. The work combines computational mathematics with systems and software engineering.

Parallel and high-performance computingNumerical methods for partial differential equationsGraph algorithms and processingSoftware instrumentation and program analysisMultiscale computational modeling

Publication activity has been intermittent over the last decade, with a burst in 2017, a gap in 2018-2019, and a steady but low output of roughly one to three papers per year since 2020.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.2/year recently
2017: 4 publications41718192020: 2 publications202021: 3 publications212022: 3 publications222023: 2 publications23242025: 1 publication2526
Recent publications
Publishes in
  • International Journal for Multiscale Computational Engineering×2
  • ACM SIGPLAN Notices×2
  • arXiv (Cornell University)×2
  • Journal of Computational Physics×1
  • The International Journal of High Performance Computing Applications×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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