Brain And SIgnal Research & Analysis laboratory

Develop your research skills in AI
“My training has given me the tools and the confidence to understand and critically assess the contents of research papers so that I can direct my own research.”
Can Gafuroğlu (Undergrad student)

Applications for internships are open now.

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

Islem Rekik, Ph.D.

Highlights

Stefano’s paper on “Brain Economy-Aligned Graph Transformers” is accepted for publication at NeurIPS 2026!

Congratulations!

September 24, 2026

Our global, consortium-based paper, “GNN-CB: A Graph Neural Network Competition Benchmark for Human and LLM Evaluation,” has been accepted for publication at the main EMNLP  2026 conference!

Congratulations!

August 26, 2026

Kevin’s paper on “DeltaGNN: Graph Neural Network with Information Flow Control” is accepted for publication in the journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.4)!

Congratulations!

August 24, 2026

Islem’s paper on “Evidence of a Cognitive Shift in AI Education: How Students Are Rethinking Human Intelligence?” is accepted for publication in ICLR (HCAIR Workshop) 2026!

Congratulations!

March 6, 2026

Mayssa and Gita’s paper on “Reservoir-Based Graph Convolutional Networks” is accepted for publication in the journal of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (IF: 20.4)!

Congratulations!

19 Feb, 2026

Devvrat’s paper on “HGNet: Scalable Foundation Model for Automated Knowledge Graph Generation from Scientific Literature” is accepted for publication in ICLR 2026!

Congratulations!

Jan 26, 2026