D Klepl, F He*, M Wu, DJ Blackburn, PG Sarrigiannis, Cross-Frequency Multilayer Network Analysis with Bispectrum-based Functional Connectivity: A Study of Alzheimer’s Disease, bioRxiv, doi:, 2022.

SR Gunawardena, PG Sarrigiannis, DJ Blackburn, F He*, Kernel-based Nonlinear Manifold Learning for EEG Channel Selection with Application to Alzheimer’s Disease, bioRxiv, doi:, 2022.

Conference papers

D Klepl, F He*, M Wu, DJ Blackburn, PG Sarrigiannis, Bispectrum-based Cross-frequency Functional Connectivity: Classification of Alzheimer’s disease, arXiv:2206.05354, accepted by IEEE 44th International Engineering in Medicine and Biology Conference (EMBC) 2022, Glasgow.

Recent Journal papers

D Klepl, F He*, M Wu, DJ Blackburn, PG Sarrigiannis, EEG-based Graph Neural Network Classification of Alzheimer’s Disease: An Empirical Evaluation of Functional Connectivity Methods, IEEE Transactions on Neural Systems and Rehabilitation Engineering, in press, 2022.

D Klepl, F He*, M Wu, DJ Blackburn, M De Marco, PG Sarrigiannis, Characterising Alzheimer’s Disease with EEG-based Energy Landscape Analysis, IEEE Journal of Biomedical and Health Informatics, 26(3), 992-1000, 2022. [preprint: arXiv] [code]

M Foo, L Dony, F He, Data-driven dynamical modelling of a pathogen-infected plant gene regulatory network: a comparative analysis, BioSystems, 219:104732, 2022.

B Vasudeva, R Tian, DH, Wu, SA. James, HH Refai, L Ding, F He, Y Yang, Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-frequency Phase Coupling, [preprint:arXiv], Biomedical Signal Processing and Control, 74(4):103492, 2022.

F He, Y Yang, Nonlinear System Identification of Neural Systems from Neurophysiological Signals, Neuroscience, 458, 213-228, 2021. preprint

IF Kurniawanad, T Asyhari, F He, Y Liu, Mobile computing and communications-driven fog-assisted disaster evacuation techniques for context-aware guidance support: A survey, Computer Communications, 179, 195-216, 2021.

E Tankhilevich, J Ish-Horowicz, T Hameed, E Roesch, I Kleijn, MPH Stumpf, F He, GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation, Bioinformatics, 36, 3286–3287, 2020. [Julia package]

L Dony, F He, MPH Stumpf, Parametric and non-parametric gradient matching for network inference: a comparison, BMC Bioinformatics, 20, 52, 2019. [code]

F He, MPH Stumpf, Quantifying Dynamic Regulation in Metabolic Pathways with Nonparametric Flux Inference, Biophysical Journal, 116, 2035-2046, 2019.

DJ Blackburn, PG Sarrigiannis, M Marco De, Y Zhao, A Venneri, S Lawrence, ZC Unwin, M Blyth, J Angel, K Baster, ID Wilkinson, SM Bell, F He, HL Wei, SA Billings, TFD Farrow, A Pilot Study Investigating a Novel Non-Linear Measure of Eyes Open versus Eyes Closed EEG Synchronization in People with Alzheimer’s Disease and Healthy Controls, Brain Science, 8(7), 134, 2018.

PG Sarrigiannis, Y Zhao, F He, SA Billings, K Baster, C Rittey, J Yianni, P Zis, H Wei, M Hadjivassiliou, R Grünewald, The cortical focus in childhood absence epilepsy; evidence from nonlinear analysis of scalp EEG recordings, Clinical Neurophysiology, 129(3), 602-617, 2018.

F He, PG Sarrigiannis, SA Billings, H Wei, J Rowe, C Romanowski, N Hoggard, M Hadjivassilliou, D Rao, R Grünewald, A Khan, J Yianni, Nonlinear interactions in the thalamocortical loop in essential tremor: a model-based frequency domain analysis, Neuroscience, 324, 377-389, 2016.

F He, E Murabito, HV Westerhoff, Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering, Journal of The Royal Society Interface, 13(117), 2015.1046, 2016.

F He, HL Wei, SA Billings, Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models, International Journal of Systems Science, 46(11), 2087-2100, 2015.

F He, SA Billings, HL Wei, PG Sarrigiannis, A nonlinear causality measure in the frequency domain: Nonlinear partial directed coherence with applications to EEG, Journal of Neuroscience Methods, 225, 71-80, 2014.

HV Westerhoff, AN Brooks, E Simeonidis, R García-Contreras, F He, F C Boogerd, VJ Jackson, V Goncharuk, A Kolodkin, Macromolecular networks and intelligence in microorganisms, Frontiers in Microbiology 5, 379, 2014.

F He, HL Wei, SA Billings, PG Sarrigiannis, A nonlinear generalization of spectral granger causality, IEEE Transactions on Biomedical Engineering, 61 (6), 1693-1701, 2014.

F He, SA Billings, HL Wei, PG Sarrigiannis, Y Zhao, Spectral analysis for nonstationary and nonlinear systems: A discrete-time-model-based approach, IEEE Transactions on Biomedical Engineering, 60 (8), 2233-2241, 2013.

F He, V Fromion, HV Westerhoff, (Im) Perfect robustness and adaptation of metabolic networks subject to metabolic and gene-expression regulation: marrying control engineering with metabolic control analysis, BMC systems biology, 7(1),131, 2013.

Y Zhao, SA Billings, H Wei, F He, PG Sarrigiannis, A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG data, Journal of Neuroscience Methods, 212(1), 79-86, 2013.