By Associate Professor Huadong Mo

Books

Mo H; Sansavini G; Xie M, 2021, Cyber-Physical Distributed Systems Modeling, Reliability Analysis and Applications, John Wiley & Sons, https://www.wiley.com/en-us/Cyber+Physical+Distributed+Systems%3A+Modeling%2C+Reliability+Analysis+and+Applications-p-9781119682677#author-section

Haugen S; Barros A; van Gulijk C; Kongsvik T; Vinnem JE, 2018, Safety and Reliability – Safe Societies in a Changing World, CRC Press, http://dx.doi.org/10.1201/9781351174664

Book Chapters

Karmaker AK; Behrens S; Mo H; Pota H, 2025, 'Hosting capacity enhancement strategies in distribution networks', in Hosting Capacity Aspects in Distribution Networks Towards Sustainable Energy Systems, pp. 173 - 191, http://dx.doi.org/10.1016/B978-0-443-33912-7.00008-6

Jiang A; Zhang Y; Mo H; Wang M; Zhang W, 2024, 'Learning and Mapping Academic Topic Evolution Evolving - Topics in the Australian National Disability Insurance Scheme', in Advanced Data Mining and Applications 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, Proceedings, Part I, Springer Nature, pp. 131 - 145, http://dx.doi.org/10.1007/978-981-96-0811-9_10

Journal articles

Adhikary RK; Widyowati R; Mondal S; Kurnianingsih K; Susanto E; Septama AW; Effendi WI; Kamal MS; Hermanu AI; Darwin P; Rahmadi A; Wirasatriya A; Prajogo D; Mardliyati E; Mo H; Fajriah S; Sutarsa IN; Kelly M; Chakrabortty RK; Sarma H, 2026, 'Mechanistic pathways underlying the antidiabetic potential of sea grapes (Caulerpa spp.): A systematic review across experimental and human evidence', Food and Humanity, 7, http://dx.doi.org/10.1016/j.foohum.2026.101315

Guo F; Zhang R; Zhou H; Zhang J; Mo H, 2026, 'Dynamic temporal scale decoupling and variable interaction modeling for photovoltaic power forecasting', Solar Energy, 318, http://dx.doi.org/10.1016/j.solener.2026.115021

Guo F; Tao S; Zhang R; Zhou H; Zhang J; Mo H, 2026, 'Physics-guided multiscale fusion network for ultra-short-term wind power forecasting', Computers and Electrical Engineering, 139, http://dx.doi.org/10.1016/j.compeleceng.2026.111367

Su J; Zhu Y; Liu Y; Zhang J; Peng H; Li M; Zhang X; Qu J; Wang Y; Tan WL; Gu Q; Mo H; Li W; Li S, 2026, 'Polyhedral engineering in garnet solid electrolytes via equimolar co-doping for enhanced ionic conductivity', Sustainable Materials and Technologies, 49, http://dx.doi.org/10.1016/j.susmat.2026.e02180

Jiang W; Wang M; Mo H; Dong D; Zhang Y; Zhang W, 2026, 'TemSoGraph: Learning temporal social graphs for cyberbullying prediction', Information Sciences, 753, http://dx.doi.org/10.1016/j.ins.2026.123650

Lou X; Zhang Q; Mo H; Ding L; Zou S; Wang J; Meng X, 2026, 'Performance improvement of two-phase variable-frequency liquid cooling system based on control set-points for commercial battery energy storage under high-temperature conditions', Energy, 360, http://dx.doi.org/10.1016/j.energy.2026.141626

Hu H; Huang X; Liang C; Lyu Z; Su L; Li K; Qin Z; Mo H; Zhang X; Zou C; Tao S, 2026, 'Second-level heterogeneous retired battery type identification using pulse-test-enabled federated learning with output-level privacy preservation', Etransportation, 29, http://dx.doi.org/10.1016/j.etran.2026.100607

Liang C; Tao S; Xia C; Huang X; Hu H; Wang R; Dong D; Lyu Z; Zhou G; Mo H, 2026, 'Inline quality grading of commercial lithium-ion battery manufacturing via data-efficient learning and transferable assessment', Energy and Environmental Science, 19, pp. 5340 - 5354, http://dx.doi.org/10.1039/d6ee02209j

Li C; Du Z; Xie R; Mo H; Dong D, 2026, 'Accelerating Fixed-Time Event-Triggered Optimization in Continuous and Discrete Time via Time-Varying Dynamical Systems', IEEE Transactions on Cybernetics, PP, pp. 1 - 12, http://dx.doi.org/10.1109/tcyb.2026.3720549

Wang C; Wu J; Lei Y; Zhang H; Mo H, 2026, 'Convolutional attention channel factorization mixing network-based state of health estimation for lithium-ion batteries', Reliability Engineering and System Safety, 272, http://dx.doi.org/10.1016/j.ress.2026.112567

Gao Z; Xiao X; Mo H; Dong D, 2026, 'Physics-informed condition monitoring for wind turbines via change point detection under heteroscedasticity', Reliability Engineering and System Safety, 272, http://dx.doi.org/10.1016/j.ress.2026.112458

Chen X; Zhang H; Shi L; Mo H; Guo F, 2026, 'From load prediction to resilience diagnosis: a multi-scale framework for power distribution systems', Electric Power Systems Research, 256, http://dx.doi.org/10.1016/j.epsr.2026.112913

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2026, 'Online planning of power flows for power systems against bushfires using spatial context', Automatica, 189, http://dx.doi.org/10.1016/j.automatica.2026.112985

Selim A; Mo H; Pota H; Dong D, 2026, 'Physics-Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations', Quality and Reliability Engineering International, 42, pp. 1923 - 1940, http://dx.doi.org/10.1002/qre.70186

Liang C; Tao S; Shi H; Lyu Z; Ji JC; Dong D; Mo H, 2026, 'Pulse excitation for active battery management systems', npj Clean Energy, 2, http://dx.doi.org/10.1038/s44406-026-00040-w

Wang C; Liu C; Wu J; He X; Mo H, 2026, 'A lightweight hierarchical temporal convolution network for robust state of health estimation of lithium-ion batteries', Journal of Power Sources, 677, http://dx.doi.org/10.1016/j.jpowsour.2026.239935

Wang C; Yang Y; Wu J; He X; Mo H, 2026, 'A diffusion causal transformer network with physical information for lithium-ion battery state-of-health estimation', Journal of Energy Storage, 160, http://dx.doi.org/10.1016/j.est.2026.121768

Guo F; Zhang Z; Ma X; Li L; Zhou H; Li C; Mo H, 2026, 'An Interpretable TCN– Transformer Framework for Lithium-Ion Battery State of Health Estimation Using SHAP Analysis', Quality and Reliability Engineering International, 42, pp. 1426 - 1442, http://dx.doi.org/10.1002/qre.70155

Liu W; Mo H; Lee CK, 2026, 'Compressive strength prediction for SCM-based concretes using a multiple machine learning models and datasets approach', Results in Engineering, 30, http://dx.doi.org/10.1016/j.rineng.2026.110262

Musleh AS; Chen G; Liu B; Fan S; Al-Durra A; Muyeen SM; Dong ZY; Ambia MN; Gjorgiev B; Tao S; Mo H, 2026, 'Cybersecurity challenges in renewable-dominated power grids addressing vulnerabilities and resilience strategies', Cell Reports Physical Science, 7, http://dx.doi.org/10.1016/j.xcrp.2026.103261

Song C; Liu Y; Zhang G; Mo H; Dong D, 2026, 'Evolutionary Optimization-Based Design of LQG Controllers in Quantum Coherent Feedback', IEEE Transactions on Cybernetics, 56, pp. 2791 - 2804, http://dx.doi.org/10.1109/TCYB.2026.3651242

Hu H; Liang C; Huang X; Mo H; Zou C; Tao S, 2026, 'ONET: Operator network for randomized and robust battery health estimation using operation condition and cycling data matching', Journal of Power Sources, 672, http://dx.doi.org/10.1016/j.jpowsour.2026.239592

Selim A; Mo H; Pota H; Dong D, 2026, 'Adaptive optimization of BESS and grid set points: A model-free framework for energy management under dynamic tariff pricing', Energy, 346, http://dx.doi.org/10.1016/j.energy.2026.140148

Wang Z; Sun Z; Bian Y; Mo H; Dong D, 2026, 'Learning hierarchical time–frequency representation for long-term time series forecasting', Information Processing and Management, 63, http://dx.doi.org/10.1016/j.ipm.2025.104358

Rana MM; Mo H; Romlie MF; Qiao L; Dong D, 2026, 'Rule-based peak shaving strategy with battery storage: Evaluating socio-economic impacts in regional grids', Energy and Buildings, 354, http://dx.doi.org/10.1016/j.enbuild.2026.116983

Li Y; Tian Y; Mo H; Du S, 2026, 'Gaussian Process Controlled B-Spline Surface', INFORMS Journal on Data Science, http://dx.doi.org/10.1287/ijds.2024.0061

Gao Z; Xiao X; Mo H; Dong D, 2026, 'A computational framework for censoring design in monitoring lifetime data from one-dimensional exponential families', Journal of Quality Technology, 58, pp. 143 - 167, http://dx.doi.org/10.1080/00224065.2025.2612367

Rana MM; Mo H; Shafiullah GM; Qiao L; Dong D, 2026, 'Optimal sizing of battery storage for cost-effective peak shaving in regional distribution networks', Journal of Energy Storage, 141, http://dx.doi.org/10.1016/j.est.2025.119502

Rana MM; Mo H; Shafiullah G; Qiao L; Dong D, 2026, 'Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network', IEEE Transactions on Industry Applications, 62, pp. 2172 - 2185, http://dx.doi.org/10.1109/TIA.2025.3605311

Guo F; Tao S; Zhang J; Zhou H; Ji J; Dong D; Mo H, 2026, 'Frequency Spectral Prior Guided Graph Learning for Degradation Decoupling in Reliable Battery SOH Estimation', Green Energy and Intelligent Transportation, pp. 100446, http://dx.doi.org/10.1016/j.geits.2026.100446

Malik UJ; Mohotti D; Mo H; Lee CK, 2025, 'A global dataset of UHPC mix designs with supplementary cementitious materials and nano additives', Data in Brief, 63, http://dx.doi.org/10.1016/j.dib.2025.112179

Selim A; Mo H; Pota H, 2025, 'Optimization framework for multi-vector energy communities with uncertainty-aware energy management', Applied Energy, 395, http://dx.doi.org/10.1016/j.apenergy.2025.126145

Selim A; Mo H; Pota H; Dong D, 2025, 'Day ahead scheduling of battery energy storage system operation using growth optimizer within cyber–physical–social systems', Energy, 331, http://dx.doi.org/10.1016/j.energy.2025.136675

Liu W; Mo H; Lee CK, 2025, 'Comprehensive dataset for performance evaluation of SCM-blended concrete', Data in Brief, 60, http://dx.doi.org/10.1016/j.dib.2025.111616

Mo H; Li C; Liu N; Zhao B; Dong H; Liu H; Zio E, 2025, 'Energy storage systems for carbon neutrality: Challenges and opportunities', Frontiers of Engineering Management, 12, pp. 305 - 329, http://dx.doi.org/10.1007/s42524-025-4190-3

Ahmad A; Xiao X; Mo H; Dong D, 2025, 'TFTformer: A novel transformer based model for short-term load forecasting', International Journal of Electrical Power and Energy Systems, 166, http://dx.doi.org/10.1016/j.ijepes.2025.110549

Qin JC; Jiang R; Mo H; Dong D, 2025, 'A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty', International Journal of Machine Learning and Cybernetics, 16, pp. 1111 - 1127, http://dx.doi.org/10.1007/s13042-024-02325-x

Selim A; Mo H; Pota H, 2025, 'Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems', Data in Brief, 58, http://dx.doi.org/10.1016/j.dib.2024.111200

Guo F; Xu K; Zhang Z; Zhou H; Chen G; Hu J; Zhang J; Mo H, 2025, 'Battery SOH Prediction Under Different Conditions via MBLSTM and iTransformer With Anomaly Detection and Explainability', IEEE Open Journal of the Computer Society, 6, pp. 1847 - 1857, http://dx.doi.org/10.1109/OJCS.2025.3625209

Wang Q; Xie M; Wang R; Mo H, 2025, 'FESD: Feature-Enhanced Structured-State-Space Diffusion Model for Battery SOH Prediction and Imputation', IEEE Transactions on Instrumentation and Measurement, 74, http://dx.doi.org/10.1109/TIM.2025.3600722

Wang C; Wu J; Yang Y; Zhu H; Mo H, 2024, 'Multi-scale self-attention feature decoupling transfer network-based cross-domain capacity prediction of lithium-ion batteries', Journal of Energy Storage, 103, http://dx.doi.org/10.1016/j.est.2024.114286

Mo H; Xiao X; Sansavini G; Dong D, 2024, 'Optimal defense resource allocation against cyber-attacks in distributed generation systems', Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, 238, pp. 1302 - 1329, http://dx.doi.org/10.1177/1748006X231196259

Sanni MT; Pota HR; Dong D; Mo H, 2024, 'Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder', Ain Shams Engineering Journal, 15, http://dx.doi.org/10.1016/j.asej.2024.102972

Guo F; Mo H; Wu J; Pan L; Zhou H; Zhang Z; Li L; Huang F, 2024, 'A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting', Electronics Switzerland, 13, http://dx.doi.org/10.3390/electronics13142719

Ahmad A; Xiao X; Mo H; Dong D, 2024, 'Tuning data preprocessing techniques for improved wind speed prediction', Energy Reports, 11, pp. 287 - 303, http://dx.doi.org/10.1016/j.egyr.2023.11.056

Gao Z; Xiao X; Fang YP; Rao J; Mo H, 2024, 'A Selective Review on Information Criteria in Multiple Change Point Detection', Entropy, 26, http://dx.doi.org/10.3390/e26010050

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