M.Z. Naser, PhD, PE

Host of The Engineering Pathways Series:

Media mentions & Seminars:

  • 2022 ASCE Convention. Title, Unboxing Machine Learning for Civil Engineers. [More info soon]

  • Paper: “Mechanistically Informed Machine Learning and Artificial Intelligence in Fire Engineering and Sciences.” Fire Technology. https://doi.org/10.1007/s10694-020-01069-8. [Pre-print draft] Selected for Editor’s Choice [link] as well as Fire Science Reviews [link]

  • Sustainability, Intelligence and Resilience Seminar series hosted by the School of Civil Engineering and Transportation, South China University of Technology. March 31st, 2022. Title: Machine Learning in Structural Engineering: From Navigating the Realms of Data-driven Analysis to Explainability and Causal Knowledge Discovery.

  • Paper: Demystifying Ten Big Ideas and Rules Every Fire Scientist Engineer Should Know About Blackbox, Whitebox Causal Artificial Intelligence (featured at DeepAI)

  • Appeared on the Fire Science Show - Easy entry into the world of AI in fire (Ep. 28)

  • Appeared on the Civil Engineering Vibes Podcast (Ep. 38)

  • Featured at the Journal of Fire Technology

  • Featured at BLDG Blog by Geoff Manaugh

  • Interviewed by “Big 10” TV network to highlight my research contributions at Michigan State University. 

  • Appeared on Michigan State University College of Engineering “President’s Book” as well as “Big 10” TV network and "Spartan Engineer".

Civil Engineering Vibes with M.Z. Naser
00:00 / 40:22
Easy entry into the world of AI in fire with MZ Naser
00:00 / 55:40