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Dr Levin Kuhlmann

Email Research profile Google Scholar
Personal website Epilepsyecosystem.org: Crowdsourcing solutions to seizure prediction

Levin is a senior lecturer 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 Sort descending Type
Advanced statistical inference and machine learning for neural modelling, monitoring and imaging Research project
Continual Few-shot reinforcement learning Honours project
Creating subject-specific mathematical models to understand the brain 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

Co-supervising

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

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Recently added

Event Extraction and Neuro-Symbolic Reasoning for Law Enforcement and Legal Applications
Medical AI Exploration with Machine Learning and Robotics
Human-in-the-loop AI for Microgrid Management
Physics-informed Neuro-symbolic AI to Capture CO2
Computational Australian Sign Language Generation

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