2019

• 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
  Academic article
• 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
  Academic article

2018

• Mohammed, Hadi; Longva, Andreas; Seidu, Razak. (2018) Predictive analysis of microbial water quality using machine-learning algorithms. Aplinkos tyrimai, inzinerija ir vadyba
  Academic article
• Amoah Dennis, Isaac; Reddy, Poovendhery; Seidu, Razak; Stenstrom, Thor Axel. (2018) Concentration of soil-transmitted helminth eggs in sludge from South Africa and Senegal: A probabilistic estimation of infection risks associated with agricultural application. Journal of Environmental Management
  Academic article
• Dennis Amoah, Isaac; Reddy, Poovendhery; Seidu, Razak; Stenstrom, Thor Axel. (2018) Removal of helminth eggs by centralized and decentralized wastewater treatment plants in South Africa and Lesotho: health implications for direct and indirect exposure to the effluents. Environmental Science and Pollution Research International
  Academic article
• 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
  Academic article
• Seidu, Razak; Longva, Andreas. (2018) NTNU
  Medical Student Research Thesis

2017

• 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
  Academic chapter/article/Conference paper
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Adaptive neuro-fuzzy inference system for predicting norovirus in drinking water supply. IEEE Press
  Academic chapter/article/Conference paper
• Mohammed, Hadi; Hameed, Ibrahim A.; Seidu, Razak. (2017) Random forest tree for predicting fecal indicator organisms in drinking water supply. IEEE Press
  Academic chapter/article/Conference paper

2016

• Andersson, K; Rosemarin, A; Kvarnström, Elisabeth; McConville, E; Seidu, Razak; Dickin, S. (2016) Sanitation, Wastewater Management and Sustainability: from Waste Disposal to Resource Recovery. United Nations Environmental Programme/SEI
  Popular scientific book

2015

• Bui Tien, Dieu; Chuyen, Trung Tran; Pradhan, Biswajeet; Revhaug, Inge; Seidu, Razak. (2015) iGeoTrans – a novel iOS application for GPS positioning in geosciences. Geocarto International
  Academic article

2014

• Eregno, Fasil Ejigu; Grøndahl-Rosado, Ricardo Constante; Nilsen, Vegard; Seidu, Razak; Heistad, Arve; Myrmel, Mette. (2014) Multiple Linear Regression Models for Estimating Microbial Load in a Drinking Water Source: Case from the Glomma River, Norway. Vann
  Academic article
• Eregno, Fasil Ejigu; Nilsen, Vegard; Seidu, Razak; Heistad, Arve. (2014) Evaluating the Trend and Extreme Values of Faecal Indicator Organisms in a Raw Water Source: A Potential Approach for Watershed Management and Optimizing Water Treatment Practice. Environmental Processes
  Academic article

2013

• Seidu, Razak. (2013) Norwegian drinking water supply systems and risk management: guidelines, directives and microbial risk assessment. Vann
  Academic article

2011

• Stenstrom, Thor Axel; Seidu, Razak; Ekane, Nelson; Zurbrugg, Christian. (2011) Microbial exposure and health assessments in sanitation technologies and systems. Stockholm Environment Institute
  Non-fiction book

2007

• Seidu, Razak; Heistad, Arve; Lindholm, Oddvar; Vråle, Lasse; Jenssen, Petter D.; Stenström, Thor-Axel. (2007) Integrating Quantitative Microbial Risk Assessment into Health Risk Management of Water Supply Systems in Norway. Vann
  Academic article