19992022

Research output per year

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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

Creating subject-specific mathematical models to understand the brain

Grayden, D., Kuhlmann, L., Karoly, P. & Cook, M.

12/03/2031/12/22

Project: Research

Personalised Seizure Prediction

Kuhlmann, L., Cook, M., Freestone, D. R., D'Souza, W. & Burkitt, A. N.

National Health & Medical Research Council (NHMRC)

1/02/1931/01/22

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 proceedingConference PaperOther

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, Kuhlmann, L., Feb 2020, In : Epilepsia. 61, 2, p. 7-12 6 p.

Research output: Contribution to journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-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 journalArticleResearchpeer-review

3 Citations (Scopus)

Activities

  • 11 Peer review responsibility
  • 2 Editorial responsibility

Brain : a journal of neurology (Journal)

Levin Kuhlmann (Peer reviewer)
1 Jan 2018 → …

Activity: Publication peer-review and editorial work typesPeer 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 typesPeer 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 typesPeer review responsibility

PLoS Computational Biology (Journal)

Levin Kuhlmann (Guest editor)
1 Jan 201731 Dec 2018

Activity: Publication peer-review and editorial work typesEditorial responsibility

eNeuro (Journal)

Levin Kuhlmann (Peer reviewer)
2016 → …

Activity: Publication peer-review and editorial work typesPeer review responsibility