Performing calculus operations on poorly understood engineering functions using neural networks. - Ian Flood (Artif. Intell. Eng. Des. Anal. Manuf., 1995)

An artificial neural network approach to discrete-event simulation. - Ian Flood; Kenneth Worley (Artif. Intell. Eng. Des. Anal. Manuf., 1995)

Integrating knowledge-based systems and artificial neural networks for engineering. - Nabil A. Kartam; Ian Flood; Tanit Tongthong (Artif. Intell. Eng. Des. Anal. Manuf., 1995)

Simulating the behavior of poorly understood continua using neural networks. - Ian Flood (Artif. Intell. Eng. Des. Anal. Manuf., 1996)

Construction project control using artificial neural networks. - H. Al-Tabtabai; Nabil A. Kartam; Ian Flood; A. P. Alex (Artif. Intell. Eng. Des. Anal. Manuf., 1997)

Modelling earthquake accelerograms using neural networks and linear predictors. - Ian Flood; Nicolas Gagarin; Nabil A. Kartam (Artif. Intell. Eng. Des. Anal. Manuf., 1998)

A Binary Classifier with applications to poorly defined engineering problems. - Ian Flood; Nabil A. Kartam (Artif. Intell. Eng. Des. Anal. Manuf., 1998)

Queuing network analysis for waterways with artificial neural networks. - Liang Zhu; Paul M. Schonfeld; Yeon Myung Kim; Ian Flood; Ching-Jung Ting (Artif. Intell. Eng. Des. Anal. Manuf., 1999)

Modeling dynamic engineering processes using radial-Gaussian neural networks. - Ian Flood (J. Intell. Fuzzy Syst., 1999)

A survey of e-business implementation in the US construction industry. - Raja R. A. Issa; Ian Flood; Gul Caglasin (J. Inf. Technol. Constr., 2003)

Next Generation Artificial Neural Networks and Their Application to Civil Engineering. - Ian Flood (EG-ICE, 2006)

Project planning using an interactive, structured modeling environment. - Ian Flood (WSC, 2007)

Towards the next generation of artificial neural networks for civil engineering. - Ian Flood (Adv. Eng. Informatics, 2008)

A Hierarchical Constraint-based Approach to Modeling Construction and Manufacturing Processes. - Ian Flood (WSC, 2009)

Modeling blast wave propagation using artificial neural network methods. - Ian Flood; Bryan T. Bewick; Robert J. Dinan; Hani A. Salim (Adv. Eng. Informatics, 2009)

Foresight versus simulation: Construction planning using graphical constraint-based modeling. - Ian Flood (WSC, 2010)

Foresight: a graphically based approach to modeling construction processes. - Ian Flood (WSC, 2011)

Graph theoretic methods for radio equipment selection. - Ian Flood (2013)

Modeling construction manufacturing processes using foresight. - Ian Flood (WSC, 2014)

Development of a two-step neural network-based model to predict construction cost contingency. - Sang C. Lhee; Ian Flood; Raja R. A. Issa (J. Inf. Technol. Constr., 2014)

Special Issue on 2012 International Conference on Computing in Civil Engineering. - Raja R. A. Issa; Ian Flood (J. Comput. Civ. Eng., 2014)

Empirically-based modelling approaches to the truck weigh-in-motion problem. - Yueren Wang; Ian Flood (WSC, 2015)

Smart Building Energy Management Systems (BEMS) simulation conceptual framework. - Jintaek Ock; Raja R. A. Issa; Ian Flood (WSC, 2016)

Analysis tools for stormwater controls on construction sites. - Jintaek Ock; Raja R. A. Issa; Ian Flood (WSC, 2016)

Using particle swarm optimization to predict cost contingency on transportation construction projects. - Sang C. Lhee; Raja R. A. Issa; Ian Flood (J. Inf. Technol. Constr., 2016)

Special Issue on the 2014 International Conference on Computing in Civil and Building Engineering. - Raja R. A. Issa; Ian Flood (J. Comput. Civ. Eng., 2016)

Monte Carlo based Risk Analysis of Unmanned Aerial Vehicle Flights over Construction Job Sites. - Hashem Izadi Moud; Alireza Shojaei; Ian Flood; Xun Zhang (SIMULTECH, 2018)

Framework for a Blockchain-Based Infrastructure Project Financing System. - Yuanxin Zhang; Zeyu Wang; Jiaying Deng; Zaijing Gong; Ian Flood; Yueren Wang (IEEE Access, 2021)

Intelligent Control of Construction Manufacturing Processes using Deep Reinforcement Learning. - Ian Flood; Paris D. L. Flood (SIMULTECH, 2022)

Optimization of a Deep Reinforcement Learning Policy for Construction Manufacturing Control. - Ian Flood; Xiaoyan Zhou (SIMULTECH, 2023)

Machine learning approaches to determining truck type from bridge loading response. - Yueren Wang; Ian Flood (J. Inf. Technol. Constr., 2023)

Optimization and evaluation of a neural network based policy for real-time control of construction factory processes. - Xiaoyan Zhou; Ian Flood (J. Inf. Technol. Constr., 2024)