LabCompass

Wendson A. S. Barbosa

Computer Science · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2014
Neural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingNonlinear Dynamics and Pattern FormationModel Reduction and Neural NetworksNeural Networks and Applications

Publications

13

Citations

567

Est. group size

~1

Recurring co-author estimate

Active years

12

Publishing since 2014

Research summary
AI-generated

Wendson A. S. Barbosa's work focuses on reservoir computing, a type of neural network approach used to predict and analyze complex, chaotic systems, including applications in superconducting electronics and hardware security. Earlier work examined chaotic dynamics in laser systems, such as bursts and correlations in coupled lasers. This research sits at the intersection of nonlinear physics and machine learning, exploring how physical and computational systems can model unpredictable, time-varying behavior.

Reservoir computing and neural networksChaotic dynamics in laser systemsHardware-based machine learning (superconducting electronics)Physical unclonable functions and hardware securitySpatiotemporal chaos prediction

Publication activity has been sparse but slightly increased in recent years, with output rising from occasional single papers before 2021 to a peak of three in 2022 and continued modest activity through 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.4/year recently
17182019: 1 publication19202021: 1 publication212022: 3 publications3222023: 1 publication232024: 2 publications242025: 1 publication2526
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Chaos An Interdisciplinary Journal of Nonlinear Science×2
  • Nature Communications×1
  • Physical review. A/Physical review, A×1
  • Physical review. E×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 19, 2026.

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