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.
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 3 Active
Creating subject-specific mathematical models to understand the brain
Grayden, D., Kuhlmann, L., Karoly, P. & Cook, M.
12/03/20 → 31/12/22
Project: Research
Machine learning for physiological monitoring and epilepsy diagnosis
Nhu, D., Kuhlmann, L., Kwan, P., Gilligan, A. & Skouteris, H.
9/10/19 → 8/10/22
Project: Research
Personalised Seizure Prediction
Kuhlmann, L., Cook, M., Freestone, D. R., D'Souza, W. & Burkitt, A. N.
National Health & Medical Research Council (NHMRC)
1/02/19 → 31/01/22
Project: Research
Research Output
Computationally efficient epileptic seizure prediction based on extremely randomised trees
Wong, S. & Kuhlmann, L., 2020, Proceedings of the Australasian Computer Science Week Multiconference 2020. Forkan, A. (ed.). New York NY USA: Association for Computing Machinery (ACM), 3 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other
Ensembling crowdsourced seizure prediction algorithms using long-term human intracranial EEG
Reuben, C., Karoly, P., Freestone, D. R., Temko, A., Barachant, A., Li, F., Titericz Jr., G., Lang, B. W., Lavery, D., Roman, K., Broadhead, D., Jones, G., Tang, Q., Ivanenko, I., Panichev, O., Proix, T., Náhlík, M., Grunberg, D. B., Grayden, D. B., Cook, M. J. & 1 others, , Feb 2020, In : Epilepsia. 61, 2, p. 7-12 6 p.Research output: Contribution to journal › Article › Research › peer-review
Predicting epileptic seizures using nonnegative matrix factorization
Stojanović, O., Kuhlmann, L. & Pipa, G., 5 Feb 2020, In : PLoS ONE. 15, 2, 13 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Epileptic seizure forecasting with generative adversarial networks
Truong, N. D., Kuhlmann, L., Bonyadi, M. R., Querlioz, D., Zhou, L. & Kavehei, O., 16 Oct 2019, In : IEEE Access. 7, p. 143999-144009 11 p., 8853232.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
1
Citation
(Scopus)
Assessing nitrous oxide effect using electroencephalographically-based depth of anesthesia measures cortical state and cortical input
Kuhlmann, L. & Liley, D. T. J., Feb 2018, In : Journal of Clinical Monitoring and Computing. 32, 1, p. 173-188 16 p.Research output: Contribution to journal › Article › Research › peer-review
3
Citations
(Scopus)
Activities
Brain : a journal of neurology (Journal)
Levin Kuhlmann (Peer reviewer)1 Jan 2018 → …
Activity: Publication peer-review and editorial work types › Peer review responsibility
IEEE Transactions on Neural Systems and Rehabilitation Engineering (Journal)
Levin Kuhlmann (Peer reviewer)1 Aug 2018 → …
Activity: Publication peer-review and editorial work types › Peer review responsibility
IEEE Transactions on Circuits and Systems II: Express Briefs (Journal)
Levin Kuhlmann (Peer reviewer)1 Nov 2018 → …
Activity: Publication peer-review and editorial work types › Peer review responsibility
PLoS Computational Biology (Journal)
Levin Kuhlmann (Guest editor)1 Jan 2017 → 31 Dec 2018
Activity: Publication peer-review and editorial work types › Editorial responsibility
eNeuro (Journal)
Levin Kuhlmann (Peer reviewer)2016 → …
Activity: Publication peer-review and editorial work types › Peer review responsibility