Levin Kuhlmann, PhD

Levin Kuhlmann, PhD

Associate Professor,
Department of Data Science & Artificial Intelligence,
Faculty of Information Technology,
Monash University, Australia

Research Statistics

📢 Publications: 0 +
📜 Grants: $ 0 +
🏅 Awards: 0 +
✍️ Projects: 0 +
Supervisorconnect Projects
5,919
Total Citations
36
H-Index
72
i10-Index
Citations by Year
Last updated: May 27, 2026 • Cached for 7 days

Research Focus

Levin is an Associate Professor in data science, AI and digital health. He is a data scientist, AI engineer, computational neuroscientist and neural engineer. His research areas include signal processing, control theory, machine learning, statistics and computational neuroscience applications to neuroscience, digital health, neural engineering, neuroimaging and medicine. 
Advanced Brain Imaging
Brain-related Medicine
Neural Engineering
NeuroAI
Brain & AI Consciousness

My research areas include data science, signal processing, machine learning, control theory and computational neuroscience applications to neural engineering, neuroimaging, anaesthesia, epilepsy and vision. I am interested in how the brain processes information at multiple-scales, from neuron to whole brain, in order to create our ability to consciously experience the world. Moreover, I am interested in utilising such an understanding to engineer improved diagnostics, interventions and therapies for brain-related medicine and digital health. Current research focuses on:

Research Projects

CSIRO Next Generation: Development of an AI-augmented NDIS coaching planning, content generation and reporting system and its assessment against existing manual best practices

This project will develop novel AI-augmented gaming coaching and National Disability Insurance Scheme (NDIS) reporting methods for Crank Crew members with autism spectrum disorder (ASD), psychosocial and other barriers. Moreover, the quality of these methods will be assessed in the context of improved coaching, NDIS reporting efficiencies and Crew member outcomes.

Key Contributors:

  • McNaney, Roisin (Primary Chief Investigator (PCI))
  • Olivier, Patrick (Chief Investigator (CI))
  • Kuhlmann, Levin (Supervisor)
  • Anderson, Damian (Supervisor)
  • Khurshid, Hiba (Chief Investigator (CI))
Involved Departments:
Short titleCSIRO Next Generation
AcronymCSIRO Next Generation
StatusActive
Effective start/end date1/07/24 → 30/06/26

High performance computing for advanced brain imaging - MSI GeForce RTX 2060 Ventus 12G OC Graphics Card

Primary Chief Investigator (PCI): Dr. Levin Kuhlmann

Involved Department: Department of Data Science & AI

StatusFinished
Effective start/end date1/10/21 → 31/12/22

Rethinking the Data-driven Discovery of Rare Phenomena

Key Contributors:

  • Boley, Mario (Primary Chief Investigator (PCI))
  • Buntine, Wray (Partner Investigator (PI))
  • Schmidt, Daniel (Chief Investigator (CI))
  • Kuhlmann, Levin (Chief Investigator (CI))
  • Scheffler, Matthias (Partner Investigator (PI))

Involved Departments:

StatusFinished
Effective start/end date29/07/21 → 28/11/24

Apple Watch Series 6 for wearables in epilepsy monitoring research

Primary Chief Investigator (PCI): Dr. Levin Kuhlmann

Involved Departments: 

StatusFinished
Effective start/end date1/01/21 → 31/12/21

Creating subject-specific mathematical models to understand the brain

This project aims to develop a framework for bridging the microscopic and macroscopic scales of neural dynamics. Methods will be developed to tailor macroscopic mean-field models to microscopic scale experimental data. The approach will be validated by comparing predictions of mean-field models to experimental data collected from calcium imaging and multi electrode arrays, which provide a ground truth. The creation of subject-specific models from data is important, as there is a large variability in neural circuits between individuals, despite seemingly similar network activity. The intended outcome is new insights into the processes that govern brain function and methods for improving imaging of, and interfacing, to the brain.

Key Contributors:

  • Grayden, David Bruce (Primary Chief Investigator (PCI))
  • Kuhlmann, Levin (Chief Investigator (CI))
  • Karoly, Philippa (Chief Investigator (CI))
  • Cook, Mark James (Chief Investigator (CI))
Involved Departments:
StatusFinished
Effective start/end date12/03/20 → 31/12/22

Changes in brain resilience underlie seizure susceptibility in epilepsy

Key Contributors: 

  • Cook, Mark James (Primary Chief Investigator (PCI))
  • Maturana, Matias I. (Chief Investigator (CI))
  • Kuhlmann, Levin (Chief Investigator (CI))
  • Burkitt, Anthony N. (Chief Investigator (CI))
  • Dell, Katrina (Chief Investigator (CI))
  • Boston, Raymond (Chief Investigator (CI))

Involved Department:

StatusFinished
Effective start/end date1/01/20 → 31/12/22

Machine learning for physiological monitoring and epilepsy diagnosis

The scope of the project is monitoring physiological patients with epilepsy and using machine learning to improve the diagnosis speed and accuracy of clinicians. The project will start with monitoring short-term outpatient EEG of epilepsy patients, both at the Alfred and Epworth Eastern hospitals to facilitate automated labelling of EEG data for epilepsy patients. As more long-term wearables data are collected by the Epilepsy team at the Alfred and Epworth Eastern, the project will transition to cover analytics for long-term monitoring of epilepsy additionally. The research will be conducted in 2 main stages. The objective of the first stage is to evaluate existing techniques involved in detection of epileptiform activity. This stage will also involve developing new techniques based on the foundation of existing methods to produce more accurate results. With the addition of long-term data the second part of the project focuses on novel seizure detection/prediction methods.

Key Contributors:

Involved Departments:

StatusFinished
Effective start/end date9/10/19 → 8/10/22

Funding

  • Epworth Foundation (trading as Epworth HealthCare): A$22,500.00
  • Alfred Health: A$45,000.00
 

Personalised Seizure Prediction

Key Contributors: 

  • Kuhlmann, Levin (Primary Chief Investigator (PCI))
  • Cook, Mark James (Chief Investigator (CI))
  • Freestone, Dean R. (Chief Investigator (CI))
  • D’Souza, Wendyl Jude (Chief Investigator (CI))
  • Burkitt, Anthony N. (Chief Investigator (CI))

Involved Department: 

 

StatusFinished
Effective start/end date1/02/19 → 31/12/22

Funding

NHMRC – National Health and Medical Research Council (Australia): A$387,192.00

Selected Lectures

Contact Information

📩 Email: levin.kuhlmann@monash.edu
✉️ Email: levink@unimelb.edu.au
📧 Email: lkuhlmann@swin.edu.au

📞 Phone: +61 4 1255 2283
📫 Mail: Levin Kuhlmann, Rm 209, 25 Exhibition Walk, Faculty of Information Technology, Monash University, Clayton VIC 3168, Australia