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Engineering | Undergraduate Research

Computational Tools for Seizure Detection from EEG Data

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Dr. Konstantinos Tsakalis, a Professor for School of Electrical, Computer and Energy Engineering has a research opening for the following project:

The project seeks to develop algorithms and optimize the selection of their parameters for the detection of epileptic seizures from EEG data. Recent developments suggest that improved detection algorithms can be obtained using principles from nonlinear dynamics. These algorithms are computationally intensive and their GPU implementation is necessary for real-time applications.



  • Algorithms for gpu computations
  • Nonlinear dynamics
  • Optimization

Student qualifications/requirements:

  • Resume

Semester(s) or start/end date of position: Summer 2019

Number of hours per week: 10

Stipend amount/hourly wage/volunteer position: Volunteer

How to apply: Please email Dr. Konstantinos Tsakalis at


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