Brain And SIgnal Research & Analysis laboratory
WANT TO JOIN OUR LAB ?
If you are interested, please contact us and send your CV and letter of motivation to i.rekik@imperial.ac.uk
Our mission
The BASIRA (Brain And SIgnal Research & Analysis) Lab mission aims to develop inclusive, affordable and robust AI models and solutions that can thrive in low-to-high resource settings. We are currently working on decreasing the compute overhead of data-hungry deep learning models across a variety of learning tasks, datasets and infrastructures. Since 2018, we pioneered the field of generative neuroAI, where we introduced the first generation of generative graph neural network models, evidenced by our 60+ peer-reviewed research projects, with application to network neuroscience to generate high-cost brain network data across time, resolutions and domains from a low-cost input. So far, our application areas include network neuroscience, connectomics, medical imaging and vision data. We are dedicated to training and empowering under-represented researchers in AI, fostering new synergies to address global challenges, such as the disparity in medical imaging.
At BASIRA, we empower our members, nurture their talent, and train them to stand out.
News and Events

RISE-MICCAI President Farewell
Here’s my official farewell as the first (and now former) President of RISE MICCAI —2021 to 2025.

Imperial-X Interview with Islem Rekik
Celebrating Excellence in AI! 🎉 Dr Islem Rekik (Imperial College Computing & I-X) has been awarded the prestigious Tunisian AI Award!

Dr Rekik receives the Tunisian AI Award 2024
Honoring Tunisia’s Top AI Pioneers

Back-to-Back Wins: BASIRA MSc Students Awarded Splunk Prize in 2023 & 2024
Two MSc students from our BASIRA Lab at I-X, Christopher Adnel and Kevin Mancini, have been awarded the Imperial College London Splunk Prize for Excellence for their exceptional individual projects on Graph Neural Networks (GNNs) and their Computing projects were “Distinguished”— in 2023 and 2024, respectively!

AI-Ready Healthcare Podcast (Spotify)
Dr Rekik shares her career insights and research journey.

Fair Federated AI (FIFAI) Summer School 2024
We are excited to announce the successful conclusion of the “Fair Federated AI” (FIFAI) 2024 Summer School, with more than 110 global attendees all the way from Nepal to Chile!

Invited Talk at I-X Launch Event
🧠 “YOUR BRAIN IN THE MATRIX” 🧠
I had the pleasure of giving a short presentation at the 🎉 I-X Launch event 🎉, overviewing our recent research on hashtag#neuroAI and predicting the brain roadmaps from limited data.

Islem Rekik, Ph.D.
Director, BASIRA Lab
Assoc. Professor at Imperial College London (I-X Hub)
Marie Skłodowska-Curie Horizon2020 Fellowship Alumni
TUBITAK 2232 for Outstanding Researchers Awardee
President of the RISE-MICCAI (2021-2025)
Former President of Women in MICCAI (WiM) (2019-2021)
For applications, please send your CV to i.rekik@imperial.ac.uk
Highlights
We have 7 papers accepted for publication in the LNCS Springer proceedings of the main MICCAI 2025 and workshops (AMAI, PRIME, GRAIL, CLIP, DGM4MICCAI)!
Congratulations everyone!
August 6, 2025
Michalis’s paper on “Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data” is accepted for publication in the Journal of Medical Image Analysis (IF: 10.7)!
Congratulations!
March 3, 2025
Our FUTURE-AI Consortium paper on “FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare” is accepted for publication in the BMJ (IF: 93.7)!
Big congratulations to KL and all co-authors!
February 20, 2025
Ramona’s paper on “Replica Tree-based Federated Learning using Limited Data” is accepted for publication in the Journal of Neural Networks (IF: 6)!
Congratulations!
February 13, 2025
Christopher’s paper on “FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs” is accepted for publication in the journal of IEEE Transactions on Neural Networks and Learning Systems (IF: 10.2)!
Congratulations!
November 11, 2024