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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Rethinking the Data-driven Discovery of Rare Phenomena
Boley, M., Buntine, W., Schmidt, D., Kuhlmann, L. & Scheffler, M.
29/07/21 → 28/07/24
Project: Research
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High performance computing for advanced brain imaging - MSI GeForce RTX 2060 Ventus 12G OC Graphics Card
1/10/21 → 31/12/22
Project: Research
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Apple Watch Series 6 for wearables in epilepsy monitoring research
1/01/21 → 31/12/21
Project: Research
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Creating subject-specific mathematical models to understand the brain
Grayden, D. B., Kuhlmann, L., Karoly, P. & Cook, M. J.
12/03/20 → 31/12/22
Project: Research
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Changes in brain resilience underlie seizure susceptibility in epilepsy
Cook, M. J., Maturana, M. I., Kuhlmann, L., Burkitt, A. N., Dell, K. & Boston, R.
1/01/20 → 31/12/22
Project: Research
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Automated interictal epileptiform discharge detection from scalp EEG using scalable time-series classification approaches
Nhu, D., Janmohamed, M. M. A., Shakhatreh, L. I. K., Gonen, O., Perucca, P., Gilligan, A., Kwan, P., O'Brien, T. J., Tan, C. W. & Kuhlmann, L., 5 Jan 2023, In: International Journal of Neural Systems. 33, 1, 19 p., 2350001.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Brain model state space reconstruction using an LSTM neural network
Liu, Y., Soto-Breceda, A., Karoly, P., Grayden, D. B., Zhao, Y., Cook, M. J., Schmidt, D. & Kuhlmann, L., 1 Jun 2023, In: Journal of Neural Engineering. 20, 3, 15 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
EEG datasets for seizure detection and prediction— A review
Wong, S., Simmons, A., Rivera-Villicana, J., Barnett, S., Sivathamboo, S., Perucca, P., Ge, Z., Kwan, P., Kuhlmann, L., Vasa, R., Mouzakis, K. & O'Brien, T. J., 2023, (Accepted/In press) In: Epilepsia Open. 16 p.Research output: Contribution to journal › Review Article › Research › peer-review
Open Access6 Citations (Scopus) -
General and patient-specific seizure classification using deep neural networks
Massoud, Y. M., Abdelzaher, M., Kuhlmann, L. & Abd El Ghany, M. A., 17 Apr 2023, In: Analog Integrated Circuits and Signal Processing. 116, p. 205–220 16 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Hardware implementation of deep neural network for seizure prediction
Massoud, Y. M., Ahmad, A. A., Abdelzaher, M., Kuhlmann, L. & Abd El Ghany, M. A., Dec 2023, In: AEU - International Journal of Electronics and Communications. 172, 8 p., 154961.Research output: Contribution to journal › Article › Research › peer-review
Prizes
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Australian Post-Graduate Award, 2001
Kuhlmann, Levin (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, Levin (Recipient), 2021
Prize: Prize (including medals and awards)
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Best Poster Prize at 25th Annual Computational Neuroscience Meeting, 2016
Kuhlmann, Levin (Recipient), 2016
Prize: Prize (including medals and awards)
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Boston University Cognitive and Neural Systems Doctoral Fellowship, 2001-2006
Kuhlmann, Levin (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, Levin (Recipient), 2015
Prize: Prize (including medals and awards)
Activities
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Brain Topography (Journal)
Levin Kuhlmann (Peer reviewer)
1 Sept 2022 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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AI in Healthcare
Levin Kuhlmann (Contributor)
2022Activity: Community Talks, Presentations, Exhibitions and Events › Public lecture/debate/seminar
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Automated Interictal Epileptiform Discharge Detection From Scalp EEG Using Scalable Time-series Classification Approaches
Levin Kuhlmann (Contributor)
2022Activity: Community Talks, Presentations, Exhibitions and Events › Public lecture/debate/seminar
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Annual Computational Neuroscience Meeting (CNS 2022)
Levin Kuhlmann (Organiser)
2022Activity: Participating in or organising an event types › Contribution to conference
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The Lancet Digital Health (Journal)
Levin Kuhlmann (Peer reviewer)
1 Jan 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