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)
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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 (2024)
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Pragya Singh (MSc researcher)
Project: Dual GNNs for graph superresolution, with application to connectomics.
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Gita Salsabila (MSc researcher)
Project: Reservoir-based graph convolution networks.
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Jiameng Liu (Visiting Ph.D student)
Project: Affordable GNNs via hyper-sampling.
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Hugo Frelin (MSc researcher)
Project: A GNN Framework For Adaptive Node Updates.
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Scarlet Xiao (UG researcher)
Project: Dynamic memory-enhanced generative GNNs for predicting temporal brain connectivity.
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Atefe Hassani (Guest researcher)
Project: Universal federation of a xixture of highly heterogeneous medical image classification tasks.
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Kevin Mancini (MSc researcher)
Project: Solving the challenge of short and long-range message passing in GNNs.
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Furkan Pala (Ph.D student)
Project: GNN affodability and uniformization
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Mayssa Soussia (Ph.D student)
Project: GNNs for modeling population-driven brain hyperconnectivity.
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Arwa Rekik (Researcher & Neurologist)
Project: Brain mapping in health and neurological disease.
ALUMNI
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Ramona Ghilea (MSc researcher)
Project: Federated learning using small datasets.
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Nishant Rajadhyaksha (Researcher)
Project: Diffusion models for super-resolving brain graphs.
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Michalis Pistos (MSc researcher)
Project: Federated multi-trajectory GNNs under data limitations for baby brain connectivity forecasting.
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Jia Ji (MSc researcher)
Project: Federated Multigraph Integration for Brain Template Learning.
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Emircan Gündoğdu (UG researcher)
Project: Template-based multi-domain federation.
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Chun Xu (MSc researcher)
Project: Federated brain connectivity evolution prediction.
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Christopher Adnel (MSc researcher)
Project: Affordable GNN models.
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Fatih Duran (Researcher)
Project: Hierarchical GNN for population-driven brain connectional template learning.
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Doga Turkseven (Researcher)
Project: Deep shape analysis for neurological disorder diagnosis.
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Mehmet Yigit Balik (Researcher)
Project: Investigating the reproducibility of GNN federated models.
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Selim Yurekli (Researcher)
Project: Predictive uncertainly of GNN models with domain shifts.
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Oben Ozgur (Researcher)
Project: One-shot federated learning.
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Yekta Can Tursun (Researcher)
Project: Federating non-OOD GNNs.
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Mert Can Kurucu (Researcher)
Project: Influencer samples in integration tasks.
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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.
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Guris Ozen (Researcher)
Project: A few-shot learning using representative templates for predicting brain connectivity evolution.
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Başar Demir (Researcher)
Project: Inter-modality brain graph superresolution.
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Ahmed Nebli (Researcher)
Project: Developing integrational connectomics using geometric deep learning.
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Islem Mhiri (Ph.D, Mentor)
Project: Developing predictive intelligence in medicine by super-resolving brain data; in collaboration with LATIS Lab, ENISo University.
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Nada Chaari (Ph.D)
Project: Learning brain multigraph integration using machine and geometric deep learning.
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Zeynep Gurler (undergrad)
Project: Foreseeing brain graph evolution over time using deep adversarial network normalizer.
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Martin Hanik (Mentor)
Project: Regression graph neural networks for brain cognitive score prediction.
Affiliation: Zuse Institute Berlin
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Mehmet Arif Demirtas (undergrad)
Project: Regression graph neural networks for brain cognitive score prediction.
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Alaa Bessadok (Ph.D, Mentor)
Project: Predicting missing multimodal neuroimaging driven data for boosting neurological disorder diagnosis; in collaboration with ISSAT University.
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Furkan Tornaci (Researcher)
Project: Reproducibility of GNN models.
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Sinem Elif Haseki(Researcher)
Project: Brain multigraph integration.
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Ece Çınar (Researcher)
Project: Project: Brain multigraph integration.
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Umut Guvercin (Researcher)
Project: A few-shot learning for diagnostic tasks.
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Mohammed Amine Gharsallaoui (Researcher, Mentor)
Project: Brain network integration using deep meta-paths.
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Alpay Tekin (Researcher)
Project: Graph neural networks for brain connectivity synthesis.
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Megi Isallari (undergrad)
Project: Super-resolving brain graphs using geometric deep learning.
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Mustafa Burak Gurbuz (undergrad)
Project: Estimating connectional brain templates using geometric deep learning.
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Ahmet Serkan Goktas (undergrad)
Project: Residual embedding similarity-based network selection for predicting brain network evolution trajectory from a single observation.
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Ugur Demir (undergrad)
Project: Brain network integration using deep meta-paths.
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Ugur Ali Kaplan (undergrad)
Project: Can we predict the future of the brain connectivity using a single timepoint?
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Montassar Ben Dhifallah (undergrad)
Project: Can we predict the future of the brain?
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Göktuğ Güvercin (undergrad)
Project: Developing a Python machine learning toolbox for brain network classification. http://github.com/basiralab/BrainNet-ML-ToolBox
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Inis Buzi (undergrad)
Project: Geometric embedding of brain hyperconnectomes in predictive learning.
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Alin Banka (undergrad)
Project: Geometric embedding of brain hyperconnectomes in predictive learning.
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Abdullah Yalcin (undergrad)
Project: Classification of multi-sized multi-view connectomic datasets for developing unified precision medicine .
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Mustafa Saglam (undergrad)
Project: Profiling neurological disorders using diffused brain multigraphs for disentangling connectivity changes across disorders.
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Kübra Cengiz (Ph.D)
Project: Designing machine-learning based models for predicting high-resolution medical data from low-resolution data.
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Olfa Ghribi (Postdoc)
Project: Baby cortical network evolution prediction; in collaboration with IDEA Lab, University of North Carolina (UNC).
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Oumaima Ben Khelifa (MSc)
Project: Graph morphology learning for brain connectivity mapping and analysis.
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Baha Eddine Ezzine (Research intern)
Project: Predicting the spatiotemporal evolution of healthy and disordered brain trajectories
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Olfa Graa (Research intern)
Project: Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes
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Nesrine Bnouni (Ph.D)
Project: Developing machine learning methods for automatic cervical cancer labeling and stratification; in collaboration with LATIS Lab, ENISo University.
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Nicolas Georges (MSc)
Project: How to identify the most reproducible features disentangling brain states for a dataset of interest?
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Minghui Zhu (MSc)
Project: Predicting target multiple brain networks from a source network.
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Can Gafuroğlu (undergrad)
Project: Predictive intelligence for early diagnosis of neurological disorders.
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Josh Corps (undergrad)
Project: Predicting the morphological age of the brain in healthy and disordered populations.
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Rory Raeper (undergrad)
Project: Ensemble learning classifier for early dementia diagnosis.
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Elizabeth Dryburgh (MRC DTP student)
Project: Investigating the functional wiring of human brain intelligence in neurotypical and autistic subjects.
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Mayssa Soussia (MSc)
Project: Network analysis for brain disorder diagnosis.
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Salma Dhifallah (MSc)
Project: Estimation of network atlases from large-scale connectomic datasets.
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Ines Mahjoub (MSc)
Project: Developing advanced network analysis tools for Alzheimer’s disease diagnosis. In collaboration with ENISo, LATIS lab Tunisia.
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Carrie Morris (MSc)
Project: Computer-aided diagnosis of Autism Syndrome Disorder. University of Dundee
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Anna Lisowska (MSc)
Project: Developing advanced healthcare methods for early dementia diagnosis. University of Dundee
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