Dr. Fatemeh Hadaeghi

I study brain-inspired computational algorithms, frameworks and architectures which have the potential to be used in biomedical signal/image processing. I work on biomedical signal and image processing with machine learning techniques.

As a part of an EU project (NeuRAM3), our group worked on spiking reservoir computing and its implementation on neuromorphic hardwares. Specifically, within a setting at the crossroads between machine learning, theory of computing, computational neuroscience, and medical applications, I set up a machine learning benchmark in the domain of online biosignal processing.

Towards a complex system understanding of bipolar disorder: - a map based model of a complex winnerless competition - a chaotic model of abnormal circadian activity rhythms in euthymic bipolar disorder - critical slowing down as an early warning of transitions in episodes of bipolar disorder

Biomedical image processing/analysis: - Automated Detection of Diabetic Retinopathy using Image Processing Techniques - Automated detection of vulnerable plaque in IVUS (intravascular ultrasound) images