Researcher

Dr Ahmed W A Hammad

Dr Ahmed WA Hammad is the coordinator for Master of Construction Project Management at the Faculty of Built Environment, UNSW Sydney. His research focuses on the use of technology including Building Information Modelling (BIM) and machine-learning based operational research (OR) methods for enhancing decision-making in construction. His past work included novel approaches to solving OR problems in construction including site layout planning, facility location problems, network design problems, building and interior space design, and urban planning. Dr Hammad’s expertise lays in developing Mixed Integer Programming (MIP) Models and Bi-level Programming Models, together with accompanying exact solution approaches for large scale instances. His work specifically focusses on decomposition approaches where optimality of the solution can be guaranteed. He is a pioneer in the area of integrating OR with digital construction methods for the purpose of sustainability design in building and infrastructure works. His most recent work involves a BIM-based platform for organising construction sites to improve productivity and enhance safety by minimising high noise level exposure to workers. Dr Hammad has an extensive industry background in digital construction, construction engineering and pavement engineering. Prior to joining academia, Dr Hammad worked as a civil engineer, where he acquired key skills in design, management, coordination and scheduling.

Dr Hammad teaches in the following areas:

1) Building Information Modelling (BIM)

2) Operational Research (OR)

3) Construction Economics

4) Construction Law

5) Construction Materials

6) Low-rise Construction

My Expertise

  • Sustainable Design and Planning;

  • Construction Economics and Econometrics;

  • Building Information Modelling (BIM);

  • City Information Modelling (CIM);

  • Data Science and Analytics;

  • Virtual Construction and Augmented Reality;

  • Machine Learning and Deep Learning Techniques;

  • Exact Optimisation Methods including Mixed Integer Linear and Nonlinear Programming (MILP, MINLP);

  • Noise Pollution;

  • Smart City Planning;

  • Facility Location Problem;

  • Facility Layout Problem

Field of Research (FoR)


My Research Supervision


Supervision keywords


Areas of supervision

- Machine Learning and AI

- Mathematical Programming

- BIM

- Construction...view more


My Research Supervision


Supervision keywords


Areas of supervision

- Machine Learning and AI

- Mathematical Programming

- BIM

- Construction Economics

- Sustainability Design

- Construction Law

 


Currently supervising

- Machine Learning for Disaster Management

- Stochastic Programming for Resource Allocation in Construction

- Technology Investment Optimisation in Organisations

- Challanges facing Refugees and Skilled Migrants in the Construction Workforce

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