2024

• Liu, Jincheng; Wu, Di; Mohammed, Hadi; Seidu, Razak. (2024) A Novel Method for Anomaly Detection and Signal Calibration in Water Quality Monitoring of an Urban Water Supply System. Water
  Vitenskapelig artikkel
• Mohammed, Hadi; Hansen, Amy T.. (2024) Spatial heterogeneity of low flow hydrological alterations in response to climate and land use within the Upper Mississippi River basin. Journal of Hydrology
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Owusu-Ansah, Emmauel; Mohammed, Hadi; Seidu, Razak. (2024) Node search space reduction for optimal placement of pressure sensors in water distribution networks for leakage detection. Alexandria Engineering Journal
  Vitenskapelig artikkel
• Liu, Jincheng; Wu, Di; Mohammed, Hadi; Seidu, Razak. (2024) A Novel Method for Anomaly Detection and Signal Calibration in Water Quality Monitoring of an Urban Water Supply System. Water
  Vitenskapelig oversiktsartikkel/review

2023

• Tran, Huu-Tuan; Mohammed, Hadi; Nguyen, Thi Thu Hang; Hoang, Hong Giang; Nguyen, Minh-Ky; Nguyen, Khoi Nghia. (2023) Machine learning approaches for predicting microplastic pollution in peatland areas. Marine Pollution Bulletin
  Vitenskapelig artikkel
• Le, Van-Giang; Nguyen, Minh-Ky; Nguyen, Hoang-Lam; Lin, Chitsan; Mohammed, Hadi; Hung, Nguyen Tri Quang. (2023) A comprehensive review of micro- and nano-plastics in the atmosphere: Occurrence, fate, toxicity, and strategies for risk reduction. Science of the Total Environment
  Vitenskapelig oversiktsartikkel/review
• Tornyeviadzi, Hoese Michel; Mohammed, Hadi; Seidu, Razak. (2023) Robust night flow analysis in water distribution networks: A BiLSTM deep autoencoder approach. Advanced Engineering Informatics
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Mohammed, Hadi; Seidu, Razak. (2023) Semi-supervised anomaly detection methods for leakage identification in water distribution networks: A comparative study. Machine Learning with Applications (MLWA)
  Vitenskapelig artikkel

2022

• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2022) Emulating process-based water quality modelling in water source reservoirs using machine learning. Journal of Hydrology
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Mohammed, Hadi; Seidu, Razak. (2022) Dynamic segment criticality analysis: A precursor to scheduling of maintenance routines in water distribution networks. Alexandria Engineering Journal
  Vitenskapelig artikkel
• Nguyen, Minh Ky; Mohammed, Hadi; Lin, Chitsan; Nguyen, Hoang-Lam; Thai, Vu-Binh; Hoang, Hong-Giang. (2022) Microplastics in sewage sludge: Distribution, toxicity, identification methods, and engineered technologies. Chemosphere
  Vitenskapelig artikkel

2021

• Tornyeviadzi, Hoese Michel; Owusu, Emmanuel; Mohammed, Hadi; Seidu, Razak. (2021) A Systematic Framework for Dynamic Nodal Vulnerability Assessment of Water Distribution Networks based on Multilayer Networks. Reliability Engineering & System Safety
  Vitenskapelig artikkel
• Tornyeviadzi, Hoese Michel; Neba, Fabrice Abunde; Mohammed, Hadi; Seidu, Razak. (2021) Nodal vulnerability assessment of water distribution networks: An integrated Fuzzy AHP-TOPSIS approach. International Journal of Critical Infrastructure Protection
  Vitenskapelig artikkel
• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2021) Modelling the impact of weather parameters on the microbial quality of water in distribution systems. Journal of Environmental Management
  Vitenskapelig artikkel
• Mohammed, Hadi; Tornyeviadzi, Hoese Michel; Seidu, Razak. (2021) Modelling the impact of water temperature, pipe, and hydraulic conditions on water quality in water distribution networks. Water practice and technology
  Vitenskapelig artikkel

2019

• Mohammed, Hadi; Tveten, Ann-Kristin; Seidu, Razak. (2019) Modelling the impact of climate change on flow and E. coli concentration in the catchment of an ungauged drinking water source in Norway. Journal of Hydrology
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2019) Impact of local climate change on the Ålesund water supply system accounting for the raw water source and treatment processes. NTNU
  Rapport
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2019) Detection of Water Safety Conditions in Distribution Systems Based on Artificial Neural Network and Support Vector Machine. Advances in Intelligent Systems and Computing
  Vitenskapelig artikkel
• Wu, Di; Wang, Hao; Mohammed, Hadi; Seidu, Razak. (2019) Quality Risk Analysis for Sustainable Smart Water Supply Using Data Perception. IEEE Transactions on Sustainable Computing
  Vitenskapelig artikkel
• Mohammed, Hadi; Seidu, Razak. (2019) Climate-driven QMRA model for selected water supply systems in Norway accounting for raw water sources and treatment processes. Science of the Total Environment
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2019) Impact of Climate Forecasts on the Microbial Quality of a Drinking Water Source in Norway Using Hydrodynamic Modeling. Water
  Vitenskapelig artikkel

2018

• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2018) Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway. Science of the Total Environment
  Vitenskapelig artikkel
• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2018) Predictive analysis of microbial water quality using machine-learning algorithms. Aplinkos tyrimai, inzinerija ir vadyba
  Vitenskapelig artikkel

2017

• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Adaptive neuro-fuzzy inference system for predicting norovirus in drinking water supply. IEEE Press
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Gaussian Process for Machine Learning (GPML) Algorithms for the Prediction of Norovirus Concentration in Drinking Water Supply. Springer
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Random forest tree for predicting fecal indicator organisms in drinking water supply. IEEE Press
  Vitenskapelig Kapittel/Artikkel/Konferanseartikkel