Welcome back to the Flocode Podcast!

I’m excited to welcome Dr. MZ Naser, an assistant professor at Clemson University. Dr. Naser is a leading expert in integrating advanced technologies in civil and structural engineering, with a PhD from Michigan State University. His research focuses on many applications of ML in Engineering and his primary focus for this PhD was on fire engineering and the shear response of composite steel girders exposed to fire.

He has authored several influential books, including:

* Machine Learning for Civil and Environmental Engineers

This book was my introduction to Dr. Naser’s work. It contains an excellent overview of the ML landscape and is a great starting point for engineers interested in ML.

* Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

* Leveraging Artificial intelligence into Engineering, Management, and Safety of Infrastructure

In this episode, we discuss the rapid advancements in machine learning and its potential to revolutionize civil engineering. Dr. MZ Naser shares his perspective on the current state of machine learning and its practical applications in the engineering sector.

The discussion concludes with advice for engineers on how to start learning machine learning and its potential future impacts on the industry.

This is a topic I really enjoy and I believe we will see adoption of ML tools increase exponentially over the coming years as the industry realizes the practical benefits and relative ease of adopting these tools.

For those interested in the basics of Machine Learning, check out a previous Flocode article that covers the fundamentals of Linear Regression:

#003 - Machine Learning for Civil and Structural Engineers | 01: The Fundamentals

Important Links:

* Visual Introduction to Machine Learning - Check this out, very cool.

* LinkedIn: Dr. MZ Naser

* Personal Website: Dr. MZ Naser

* Dr. MZ Naser - Clemson University Faculty Page

I had a great time talking to Naser and I look forward to our next discussion!

If any subscribers have guest recommendations or specific topics they would like me to explore, please let me know in the comments.

See you in the next one!

James 🌊

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