Aldo Faisal
Professor of AI & Neuroscience
Leads the Brain and Behaviour Lab, using statistical machine learning to model human behaviour and build neurotechnology and AI for healthcare.
Aldo Faisal's lab at Imperial works on neuroscience & brain-computer interfaces, medical imaging & healthcare AI and learning theory & optimization. 21 papers since 2023, 7 at top venues, mostly ICRA and NeurIPS. 15 PhD students. 16 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 33%
- PhD students
- 15
- MS students
- 0
- alumni listed
- 16
Papers by yearfrom DBLP, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 4
- 7 papers2024 · T1 2
- 8 papers2023 · T1 1
T1 venuesOtherVenues: ICRA, NeurIPS, npj Digit. Medicine, AISTATS, ICASSP
Research focuspaper titles that use each topic's words
- Learning theory & optimization13 papers
- Neuroscience & brain-computer interfaces1 paper
- behaviour1 paper
- Medical imaging & healthcare AI0 papers
- model human0 papers
Paper list
From DBLP.
20256 papers
- ICRA (T1)An EEG Conformer Model for Error Feedback During Human-Robot Interaction (opens in a new tab)
- AISTATS (T1)Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning (opens in a new tab)
- ICASSP (T1)Multilingual Speaker-Invariant Dysarthria Severity Assessment Using Adversarial Domain Adaptation and Self-Supervised Learning (opens in a new tab)
- Trans. Mach. Learn. Res.Posterior Sampling for Reinforcement Learning on Graphs (opens in a new tab)
- ICORRTowards Safer Rehabilitation: Improving Gait Trajectory Tracking for Lower Limb Exoskeletons Using Offline Reinforcement Learning (opens in a new tab)
- NeurIPS (T1)Variational Uncertainty Decomposition for In-Context Learning (opens in a new tab)
20247 papers
- BioRobAccessible FES Cycling: Leveraging Cost-Effective Crank Angle Measurement and Reinforcement Learning for Stimulation Optimization (opens in a new tab)
- Epi UAIBag of Policies for Distributional Deep Exploration (opens in a new tab)
- ICRA (T1)Controlling FES of arm movements using physics-informed reinforcement learning via co-kriging adjustment (opens in a new tab)
- npj Digit. MedicineEye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations (opens in a new tab)
- UAI (T1)Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs (opens in a new tab)
- PLoS Comput. Biol.Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders (opens in a new tab)
- Epi UAITowards Offline Reinforcement Learning with Pessimistic Value Priors (opens in a new tab)
20238 papers
- ICORRBill-EVR: An Embodied Virtual Reality Framework for Reward-and-Error-Based Motor Rehab-Learning (opens in a new tab)
- AI EthicsBreaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus (opens in a new tab)
- NERFederated deep transfer learning for EEG decoding using multiple BCI tasks (opens in a new tab)
- npj Digit. MedicineQuantifying the impact of AI recommendations with explanations on prescription decision making (opens in a new tab)
- NeurIPS (T1)Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning (opens in a new tab)
- NERTowards AI-Controlled FES-Restoration of Arm Movements: Controlling for Progressive Muscular Fatigue with Gaussian State-Space Models (opens in a new tab)
- NERTowards AI-controlled FES-restoration of arm movements: neuromechanics-based reinforcement learning for 3-D reaching (opens in a new tab)
- ICORRTowards AI-Controlled Movement Restoration: Learning FES-Cycling Stimulation with Reinforcement Learning (opens in a new tab)
Where alumni went16 listed
Apply to Imperial2027 (Apr/Oct)
Computing PhD
- Round
- Round 2 (1 Dec 2026)
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- none
Confirmed on the program page.
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