Michael W. Ibrahim

Michael W. Ibrahim has been a unique graduate research assistant, amalgamating engineering excellence with business acumen and statistical skills. Michael joined RT 334 as a doctoral student at the University of Wisconsin-Madison, pursuing his Ph.D. in construction engineering and management with doctoral minors in both business and statistics. He effectively leveraged his supreme skills in these three fields, as well as his industry experience, to lead RT 334, along with the team’s co-Chairs and Principal Investigators, to its fruitfulness.

In addition to professionally organizing, coordinating, and leading all team meetings, Michael played a significant role in adding four members to RT 334 after he met with them and enthusiastically presented to them the research motivations, objectives and potential to significantly improve the construction industry. Also, Michael was instrumental in designing, disseminating and analyzing the research surveys. For example, once sufficient data was collected through these surveys, Michael used his statistical skills to quickly perform statistical analyses and attain preliminary findings; afterwards, he connected with industry leaders and practitioners and professionally presented to them these findings while successfully attracting them to participate in the research. Through Michael’s contributions and leadership, the team was able to rank the causes of Out-of-Sequence work (OOS), quantify its impacts, and reveal leverage areas that can be used minimize it.

To help industry practitioners benefit from the findings of the research and minimize OOS, Michael was pivotal in developing the research’s “Concept File,” a 100-page document that details 164 recommended actions, spanning 21 leverage areas and four project stages. To further utilize the research findings to directly improve real project performance, Michael played a key role in designing the OOS-decision-support-tool through which industry practitioners can identify their project stage, and indicate the risks that are most relevant to their subject project using a comprehensive list of risks. In return, the OOS-decision-support-tool reports an OOS score for the subject project and compares it to the industry average for similar project conditions, and recommends actions that should be taken to minimize OOS for this specific project.

In addition to his remarkable intelligence, research capabilities, and multidisciplinary skills, Michael’s charming personality made him a vital asset to RT 334.