Projects per year
Personal profile
Biography
Levin Kuhlmann, PhD, is a data scientist, computational neuroscientist and neural engineer. His research areas include data science, machine learning, signal processing, control theory and computational neuroscience applications to digital health, neural engineering and neuroimaging.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Cognitive and Neural Systems, PhD, Boston University
External positions
Honorary Senior Research Fellow, University of Melbourne
Research area keywords
- Digital Health, Data Science, Machine Learning, Statistical Signal Processing, Stochastic Filtering, Control Theory, Computational Neuroscience, Neural Engineering, Neuroimaging, Neurology, Epilepsy, Anaesthesiology
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CSIRO Next Generation: Development of an AI-augmented NDIS coaching planning, content generation and reporting system and its assessment against existing manual best practices
McNaney, R. (Primary Chief Investigator (PCI)), Olivier, P. (Chief Investigator (CI)), Kuhlmann, L. (Supervisor), Anderson, D. (Supervisor) & Khurshid, H. (Chief Investigator (CI))
1/07/24 → 30/06/26
Project: Research
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High performance computing for advanced brain imaging - MSI GeForce RTX 2060 Ventus 12G OC Graphics Card
Kuhlmann, L. (Primary Chief Investigator (PCI))
1/10/21 → 31/12/22
Project: Research
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Rethinking the Data-driven Discovery of Rare Phenomena
Boley, M. (Primary Chief Investigator (PCI)), Buntine, W. (Partner Investigator (PI)), Schmidt, D. (Chief Investigator (CI)), Kuhlmann, L. (Chief Investigator (CI)) & Scheffler, M. (Partner Investigator (PI))
29/07/21 → 28/11/24
Project: Research
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Apple Watch Series 6 for wearables in epilepsy monitoring research
Kuhlmann, L. (Primary Chief Investigator (PCI))
1/01/21 → 31/12/21
Project: Research
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Creating subject-specific mathematical models to understand the brain
Grayden, D. B. (Primary Chief Investigator (PCI)), Kuhlmann, L. (Chief Investigator (CI)), Karoly, P. (Chief Investigator (CI)) & Cook, M. J. (Chief Investigator (CI))
12/03/20 → 31/12/22
Project: Research
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An attributed multiplex network enabled GNN-based stock predictor with observable and non-observable information
Liu, Z., Duan, P., Chu, Q., Kuhlmann, L., Zhang, C., Yue, W., Tang, X. & Zhang, B., 15 Jan 2026, In: Expert Systems with Applications. 296, Part B, 13 p., 129018.Research output: Contribution to journal › Article › Research › peer-review
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Cortical stability and chaos during focal seizures: insights from inference-based modeling
Zhao, Y., Grayden, D. B., Boley, M., Liu, Y., Karoly, P. J., Cook, M. J. & Kuhlmann, L., 27 May 2025, In: Journal of Neural Engineering. 22, 3, 23 p., 036021.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Graceful Task Adaptation with a Bi-hemispheric RL Agent
Nicholas, G., Kuhlmann, L. & Kowadlo, G., 2025, AI 2024, Advances in Artificial Intelligence, 37th Australasian Joint Conference on Artificial Intelligence, AI 2024 Melbourne, VIC, Australia, November 25–29, 2024 Proceedings, Part II. Gong, M., Song, Y., Koh, Y. S., Xiang, W. & Wang, D. (eds.). Singapore Singapore: Springer, p. 26-38 13 p. (Lecture Notes in Computer Science; vol. 15443).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Left/Right Brain, Human Motor Control and the Implications for Robotics
Rinaldo, J., Friedman, J., Kuhlmann, L. & Kowadlo, G., 2025, Machine Learning, Optimization, and Data Science - 10th International Conference, LOD 2024 Castiglione della Pescaia, Italy, September 22–25, 2024 Revised Selected Papers, Part III. Nicosia, G., Ojha, V., Giesselbach, S., Pardalos, M. P. & Umeton, R. (eds.). Cham Switzerland: Springer, p. 261-274 14 p. (Lecture Notes in Computer Science; vol. 15510).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting
Ahmed, U., Mahmood, A., Khan, A. R., Kuhlmann, L., Alimgeer, K. S., Razzaq, S., Aziz, I. & Hammad, A., Dec 2025, In: Scientific Reports. 15, 1, 19 p., 11642.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus)
Prizes
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Australian Post-Graduate Award, 2001
Kuhlmann, L. (Recipient), 2001
Prize: Prize (including medals and awards)
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Best Paper Award Honorable Mention (top 3 of 300), 23rd ACM International Conference on Multimodal Interaction, 2021
Kuhlmann, L. (Recipient), 2021
Prize: Prize (including medals and awards)
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Best Poster Prize at 25th Annual Computational Neuroscience Meeting, 2016
Kuhlmann, L. (Recipient), 2016
Prize: Prize (including medals and awards)
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Boston University Cognitive and Neural Systems Doctoral Fellowship, 2001-2006
Kuhlmann, L. (Recipient), 2001
Prize: Prize (including medals and awards)
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Concours de chargés de recherche de premiere classe, INRIA Nancy (first after interview), 2015
Kuhlmann, L. (Recipient), 2015
Prize: Prize (including medals and awards)
Activities
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Annual Computational Neuroscience Meeting (CNS 2022)
Kuhlmann, L. (Organiser)
2022Activity: Participating in or organising an event types › Contribution to conference
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The Lancet Digital Health (Journal)
Kuhlmann, L. (Peer reviewer)
1 Jan 2022 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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Automated Interictal Epileptiform Discharge Detection From Scalp EEG Using Scalable Time-series Classification Approaches
Kuhlmann, L. (Contributor)
2022Activity: Community Talks, Presentations, Exhibitions and Events › Public lecture/debate/seminar
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AI in Healthcare
Kuhlmann, L. (Contributor)
2022Activity: Community Talks, Presentations, Exhibitions and Events › Public lecture/debate/seminar
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Brain Topography (Journal)
Kuhlmann, L. (Peer reviewer)
1 Sept 2022 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
Press/Media
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The Wire - EPILEPSY WILL BE DIAGNOSED FASTER WITH AI
25/09/20
1 Media contribution
Press/Media: Article/Feature
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Herald Sun - Brain waves cracked: Computer quick to find epilepsy.
25/09/20
1 Media contribution
Press/Media: Article/Feature
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ZDNet.com - Monash-university-researchers-speed-up-epilepsy-diagnosis-with-machine-learning
24/09/20
1 Media contribution
Press/Media: Article/Feature
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Epilepsyecosystem.org: Crowd-Sourcing Reproducible Seizure Prediction with Long-Term Human Intracranial EEG
7/09/18
1 Media contribution
Press/Media: Article/Feature