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.
| Project name Sort descending | Type |
|---|---|
| Advanced statistical inference and machine learning for neural modelling, monitoring and imaging | Research project |
| AI-augmented coaching, reporting and its assessment | Research project |
| Brain network mechanisms underlying anaesthetic-induced loss of consciousness | Research project |
| Continual Few-shot reinforcement learning | Honours project |
| Creating subject-specific mathematical models to understand the brain | Research project |
| Epileptic Seizure Prediction | Research project |
| Left/Right brain in an RL agent | Honours 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 |
| Life prediction using machine learning | Research project |
| Model-based depth of anaesthesia monitoring | Research project |
| Project name Sort descending | 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 |