Our people

The requisites of knowledge: a quick mind, zeal for learning, humility, foreign land, a professor’s inspiration, and a life of long span.

Juwaini of Nishapur (d.1085)

Islem Rekik, Ph.D.

Assistant Professor at the İTÜ Faculty of Computer and Informatics Engineering
Director, BASIRA Lab
Honorary Researcher at the School of Science and Engineering Department of Computing, University of Dundee

Email: irekik@itu.edu.tr or islem.rekik@gmail.com

Office: Bilisim ve Bilgisayar, Ofis N: 3313

Tel. : +90 212 2856782

Address: İstanbul Teknik Üniversitesi (İTÜ) Faculty of Computer and Informatics Engineering Istanbul, Turkey


Montassar Ben Dhifallah (Researcher)

Project: Can we predict the future of the brain?

Nada Chaari (Ph.D)

Project: Learning brain multigraph integration using machine and geometric deep learning.

Mustafa Burak Gurbuz (Researcher)

Project: Estimating connectional brain templates using geometric deep learning.

Alaa Bessadok (Ph.D)

Project: Predicting missing multimodal neuroimaging driven data for boosting neurological disorder diagnosis; in collaboration with ISSAT University.

Islem Mhiri (Ph.D)

Project: Developing predictive intelligence in medicine by super-resolving brain data; in collaboration with LATIS Lab, ENISo University.


Megi Isallari (Researcher)

Project: Super-resolving brain graphs using geometric deep learning.

Göktuğ Güvercin (Researcher)

Project: Developing a Python machine learning toolbox for brain network classification. http://github.com/basiralab/BrainNet-ML-ToolBox

Inis Buzi (Researcher)

Project: Geometric embedding of brain hyperconnectomes in predictive learning.

Alin Banka (Researcher)

Project: Geometric embedding of brain hyperconnectomes in predictive learning.

Abdullah Yalcin (Researcher)

Project: Classification of multi-sized multi-view connectomic datasets for developing unified precision medicine .

Mustafa Saglam (Researcher)

Project: Profiling neurological disorders using diffused brain multigraphs for disentangling connectivity changes across disorders.

Kübra Cengiz (Ph.D)

Project: Designing machine-learning based models for predicting high-resolution medical data from low-resolution data.

Ahmed Nebli (MSc)

Project: Studying gender differences in cortical morphological networks

Olfa Ghribi (Postdoc)

Project: Baby cortical network evolution prediction; in collaboration with IDEA Lab, University of North Carolina (UNC).

Oumaima Ben Khelifa (MSc)

Project: Graph morphology learning for brain connectivity mapping and analysis.

Baha Eddine Ezzine (Research intern)

Project: Predicting the spatiotemporal evolution of healthy and disordered brain trajectories

Olfa Graa (Research intern)

Project: Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes

Nesrine Bnouni (Ph.D)

Project: Developing machine learning methods for automatic cervical cancer labeling and stratification; in collaboration with LATIS Lab, ENISo University.

Nicolas Georges (MSc)

Project: How to identify the most reproducible features disentangling brain states for a dataset of interest?

Minghui Zhu (MSc)

Project: Predicting target multiple brain networks from a source network.

Can Gafuroğlu (undergrad)

Project: Predictive intelligence for early diagnosis of neurological disorders.

Josh Corps (undergrad)

Project: Predicting the morphological age of the brain in healthy and disordered populations.

Rory Raeper (undergrad)

Project: Ensemble learning classifier for early dementia diagnosis.

Elizabeth Dryburgh (MRC DTP student)

Project: Investigating the functional wiring of human brain intelligence in neurotypical and autistic subjects.

Mayssa Soussia (MSc)

Project: Network analysis for brain disorder diagnosis.

Salma Dhifallah (MSc)

Project: Estimation of network atlases from large-scale connectomic datasets.

Ines Mahjoub (MSc)

Project: Developing advanced network analysis tools for Alzheimer’s disease diagnosis. In collaboration with ENISo, LATIS lab Tunisia.

Carrie Morris (MSc)

Project: Computer-aided diagnosis of Autism Syndrome Disorder. University of Dundee

Anna Lisowska (MSc)

Project: Developing advanced healthcare methods for early dementia diagnosis. University of Dundee

Samya Amiri (Ph.D)

Project: Developing machine learning techniques for brain tumor segmentation. In collaboration with ENISo, LATIS lab Tunisia.

Close Menu