Levin is an Associate Professor in data science, AI and digital health. He is a data scientist, computational neuroscientist and neural engineer. His research areas include signal processing, control theory, machine learning, statistics and computational neuroscience applications to digital health, neural engineering, neuroimaging and medicine.
Supervisor's projects
Project name | Type |
---|---|
Model-based depth of anaesthesia monitoring | Research project |
Brain network mechanisms underlying anaesthetic-induced loss of consciousness | Research project |
AI-augmented coaching, reporting and its assessment | Research project |
Conscious AI | Research project |
Advanced statistical inference and machine learning for neural modelling, monitoring and imaging | Research project |
Life prediction using machine learning | Research project |
Creating subject-specific mathematical models to understand the brain | Research project |
Left/Right brain, human motor control and implications for robotics | Honours project |
Left/Right brain, the hippocampus and episodic learning in AI/ML | Honours project |
Continual Few-shot reinforcement learning | Honours project |
Left/Right brain in an RL agent | Honours project |
Epileptic Seizure Prediction | Research project |
Co-supervising
Project name | Type | Primary supervisor |
---|---|---|
Characterising Model Complexity for Data-driven Scientific Discovery | Research project | Daniel Schmidt |
Diagnosis of non-epileptic seizures using multimodal physiological data | Honours project | David Dowe |