LabCompass

Selahattin Akkas

Computer Science · Indiana University

OpenAlex ORCID
Advanced Graph Neural NetworksCloud Computing and Resource ManagementExplainable Artificial Intelligence (XAI)Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Publications

13

Citations

75

Est. group size

—

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Selahattin Akkas works in computer systems and machine learning, with research spanning graph neural networks (AI models that learn from data structured as networks of connected items) and cloud and serverless computing (running programs on remote, on-demand computing infrastructure). Related interests include making AI decisions easier to understand and optimizing parallel computing performance.

Graph neural networksCloud and serverless computingExplainable AIParallel computing and optimizationHigh-performance computing hardware

Publication activity has been modest and intermittent, averaging about one paper per year over the last five years with no clear upward or downward trend.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
17182019: 4 publications4192020: 1 publication202021: 3 publications212022: 1 publication22232024: 2 publications242025: 1 publication252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Concurrency and Computation Practice and Experience×2
  • Companion Proceedings of the Web Conference 2022×1

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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