Task Committee On Machine Learning For Civil Engineering
Purpose:
To develop an SEI Manual of Practice that establishes consistent terminology, scope boundaries, process guidance, minimum documentation expectations, and quality/validation practices for the responsible use of machine learning (ML) in civil engineering applications to enable safe adoption, reviewability, and alignment with ASCE/SEI ethics and standards workflows.
MEET THE CHAIR
Mohannad Zeyad Naser, Ph.D., P.E., M.ASCE
Dr. M.Z. Naser is a professional engineer and an assistant professor at the School of Civil and Environmental Engineering and Earth Sciences at Clemson University and a faculty member of the AI Research Institute for Science and Engineering (AIRISE). Dr. Naser served as the past chair of the American Society of Civil Engineers (ASCE) Advances in Information Technology (AIT) committee and a voting member of various national and international engineering institutions.
Dr. Naser’s research creates causal and explainable machine learning methodologies to help us realize functional, sustainable, and resilient infrastructure. He has co-authored over 160 peer-reviewed publications, including a new textbook on machine learning and civil engineering, titled “Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality” by Wiley. He is listed in the company with the world’s most impactful researchers by Elsevier and Stanford University, ranking among the world’s top 2% of scientists since 2022.
Membership
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Mohannad Zeyad Naser,
Ph.D., P.E., M.ASCE
Chair -
Bianca Augustin,
M.ASCE
ASCE Staff Contact