LabCompass

Nahian I. Hasan

Neuroscience · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

25

Citations

330

Est. group size

~2

Recurring co-author estimate

Active years

7

Publishing since 2019

Research summary
AI-generated

This researcher works on computational modeling and simulation methods for brain stimulation, particularly transcranial magnetic stimulation (TMS), including developing faster numerical solvers and models of neuron structure to better predict how stimulation affects the brain. Earlier work also spans a variety of applied machine learning and signal processing projects, such as medical image/signal classification (COVID-19 detection, cardiovascular disease), acoustic pattern recognition, and embedded systems, suggesting a background bridging computational neuroscience and general engineering/data science methods.

Transcranial magnetic stimulation (TMS) modelingComputational neuroscience and neuron simulationNumerical methods and fast solversBiomedical signal and image processingMachine learning applications in healthcare

Publication output was minimal or absent before 2021 but has grown substantially since 2022, with a peak of several papers per year through 2023–2025, indicating an increasing and currently active publication pace.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
17182019: 2 publications19202021: 1 publication212022: 4 publications222023: 7 publications7232024: 4 publications242025: 7 publications72526
Publishes in
  • bioRxiv (Cold Spring Harbor Laboratory)×3
  • Brain stimulation×3
  • arXiv (Cornell University)×2
  • Biomedical Signal Processing and Control×1
  • Biological Psychiatry×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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