The Project titled “Normalization of Multimodal Brain Networks for Integral and Predictive Mapping of Neurological Disorders” is supported by Horizon 2020 Program:
Within the scope of the Horizon 2020 Program Marie Sklodowska Curie Individual Research Scholarships 2019 call, the research project proposal of Dr. Lecturer İslem Rekik titled “Normalization of Multimodal Brain Networks for Integral and Predictive Mapping of Neurological Disorders from ITU Faculty of Computer and Informatics Engineering is supported with an evaluation score of 91% within the scope of the 2019 call. In this call, the success rate in the engineering panel is only 13%. In the "NormNets" Project, researchers will try to make progress in the field of brain networks in neuroscience by making complementary and predictive brain mapping estimates of neurological diseases.
The 2-year project, with a total budget of 145,355 Euros, is expected to introduce a computer method that integrates different information networks and create brain connection template maps for both healthy and diseased brains. Prof. Dr. Gözde Ünal from ITU Faculty of Computer and Informatics Engineering is the supervisor of the project.
Dr. Islem Rekik after completing her PhD in "Neuroimaging and Computer Sciences" at the University of Edinburgh in the United Kingdom in 2014 worked as a post-doctoral researcher at the University of North Carolina in the USA. She then worked as a "Lecturer" at the University of Dundee in the United Kingdom between 2016-2018 and established the BASIRA (Brain And SIgnal Research & Analysis, www.basira-lab.com) Laboratory in 2017.
Since 2018, Dr. Rekik has been contributing to health sciences by developing techniques on big brain data analysis with machine learning and advanced computer vision techniques in her research studies as an Assistant Professor Doctor at ITU Faculty of Computer and Informatics Engineering.
With the principle of diversity in science and research, Dr. Rekik supports the creation of inclusive and safe research environments, especially for disadvantaged minorities and young researchers in less developed countries.