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.
Director, BASIRA Lab
Associate Professor at Imperial College London (I-X Hub)
Email: i.rekik@imperial.ac.uk
Office: 5th floor, Imperial-X (I-HUB), White City Campus
Tel. : drop me an email.
Address: Imperial College White City Campus, Translation & Innovation Hub, 84 Wood Ln, London W12 0BZ
members (2025)
Devvrat Joshi (MSc researcher)
Project: Scalable foundation model for automated knowledge graph generation from scientific literature
Prajit Sengupta (MSc researcher)
Project: Reasoning-centric self-interpretable GNNS
Shekhnaz Idrissova (MSc researcher)
Project: Sheaf-based networks for multimodal glioma grading and survival prediction
Yitong Luo (MSc researcher)
Project: Tree-based graph generation with application to brain connectivity
Furkan Pala (Ph.D student)
Project: GNN affodability and uniformization
Mayssa Soussia (Ph.D student)
Project: GNNs for modeling population-driven brain hyperconnectivity.
Arwa Rekik (Researcher & Neurologist)
Project: Brain mapping in health and neurological disease.
ALUMNI
Pragya Singh (MSc researcher)
Project: Dual GNNs for graph superresolution, with application to connectomics.
Gita Salsabila (MSc researcher)
Project: Reservoir-based graph convolution networks.
Jiameng Liu (Visiting Ph.D student)
Project: Affordable GNNs via hyper-sampling.
Hugo Frelin (MSc researcher)
Project: A GNN Framework For Adaptive Node Updates.
Scarlet Xiao (UG researcher)
Project: Dynamic memory-enhanced generative GNNs for predicting temporal brain connectivity.
Yijun Lin (UG researcher)
Project: Cognifying generative GNNs
Atefe Hassani (Guest researcher)
Project: Universal federation of a xixture of highly heterogeneous medical image classification tasks.
Kevin Mancini (MSc researcher)
Project: Solving the challenge of short and long-range message passing in GNNs.
Ramona Ghilea (MSc researcher)
Project: Federated learning using small datasets.
Nishant Rajadhyaksha (Researcher)
Project: Diffusion models for super-resolving brain graphs.
Michalis Pistos (MSc researcher)
Project: Federated multi-trajectory GNNs under data limitations for baby brain connectivity forecasting.
Jia Ji (MSc researcher)
Project: Federated Multigraph Integration for Brain Template Learning.
Emircan Gündoğdu (UG researcher)
Project: Template-based multi-domain federation.
Chun Xu (MSc researcher)
Project: Federated brain connectivity evolution prediction.
Christopher Adnel (MSc researcher)
Project: Affordable GNN models.
Fatih Duran (Researcher)
Project: Hierarchical GNN for population-driven brain connectional template learning.
Doga Turkseven (Researcher)
Project: Deep shape analysis for neurological disorder diagnosis.
Mehmet Yigit Balik (Researcher)
Project: Investigating the reproducibility of GNN federated models.
Selim Yurekli (Researcher)
Project: Predictive uncertainly of GNN models with domain shifts.
Oben Ozgur (Researcher)
Project: One-shot federated learning.
Yekta Can Tursun (Researcher)
Project: Federating non-OOD GNNs.
Mert Can Kurucu (Researcher)
Project: Influencer samples in integration tasks.
Oytun Demirbilek (Researcher)
Project: Recurrent prediction of population graph templates from a single timepoint
Furkan Pala (Researcher)
Project: A template-guided training of graph neural networks.
Guris Ozen (Researcher)
Project: A few-shot learning using representative templates for predicting brain connectivity evolution.
Başar Demir (Researcher)
Project: Inter-modality brain graph superresolution.
Ahmed Nebli (Researcher)
Project: Developing integrational connectomics using geometric deep learning.
Islem Mhiri (Ph.D, Mentor)
Project: Developing predictive intelligence in medicine by super-resolving brain data; in collaboration with LATIS Lab, ENISo University.
Nada Chaari (Ph.D)
Project: Learning brain multigraph integration using machine and geometric deep learning.
Zeynep Gurler (undergrad)
Project: Foreseeing brain graph evolution over time using deep adversarial network normalizer.
Martin Hanik (Mentor)
Project: Regression graph neural networks for brain cognitive score prediction.
Affiliation: Zuse Institute Berlin
Mehmet Arif Demirtas (undergrad)
Project: Regression graph neural networks for brain cognitive score prediction.
Alaa Bessadok (Ph.D, Mentor)
Project: Predicting missing multimodal neuroimaging driven data for boosting neurological disorder diagnosis; in collaboration with ISSAT University.
Furkan Tornaci (Researcher)
Project: Reproducibility of GNN models.
Sinem Elif Haseki(Researcher)
Project: Brain multigraph integration.
Ece Çınar (Researcher)
Project: Project: Brain multigraph integration.
Umut Guvercin (Researcher)
Project: A few-shot learning for diagnostic tasks.
Mohammed Amine Gharsallaoui (Researcher, Mentor)
Project: Brain network integration using deep meta-paths.
Alpay Tekin (Researcher)
Project: Graph neural networks for brain connectivity synthesis.
Megi Isallari (undergrad)
Project: Super-resolving brain graphs using geometric deep learning.
Mustafa Burak Gurbuz (undergrad)
Project: Estimating connectional brain templates using geometric deep learning.
Ahmet Serkan Goktas (undergrad)
Project: Residual embedding similarity-based network selection for predicting brain network evolution trajectory from a single observation.
Ugur Demir (undergrad)
Project: Brain network integration using deep meta-paths.
Ugur Ali Kaplan (undergrad)
Project: Can we predict the future of the brain connectivity using a single timepoint?
Montassar Ben Dhifallah (undergrad)
Project: Can we predict the future of the brain?
Göktuğ Güvercin (undergrad)
Project: Developing a Python machine learning toolbox for brain network classification. http://github.com/basiralab/BrainNet-ML-ToolBox
Inis Buzi (undergrad)
Project: Geometric embedding of brain hyperconnectomes in predictive learning.
Alin Banka (undergrad)
Project: Geometric embedding of brain hyperconnectomes in predictive learning.
Abdullah Yalcin (undergrad)
Project: Classification of multi-sized multi-view connectomic datasets for developing unified precision medicine .
Mustafa Saglam (undergrad)
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.
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
