|Investigation of Quantitative Electroencephalography (q-EEG) biomarker and development of machine learning classification model for early identification of Dementia and Alzheimer disease
|1. A bachelor’s degree in Electrical or Electronic Engineering or related field.
2. A master’s degree in a related field OR if the applicant has a minimum CGPA of 3.67 or above in Bachelor’s degree then he/she can directly join the Ph.D. program.
3. Self motivated, disciplined and passionate
|Specific Skills / Knowledge Required
|1. To investigate qEEG features, time/frequency domain, and brain networks.
2. To develop a machine learning model for the classification of dementia patients
|Field of Study Related to the Research Project
|Engineering (Doctor of Philosophy (Engineering))
|How to Apply
|If you are interested, please contact Prof. Ts. Dr. Humaira Nisar via email at firstname.lastname@example.org