AI / ML Episodes

Is it too late to start with the AI in 2026? It wen't so far, does it still make sense to get interested in this technology? Absolutely. Today we sit down with MZ Naser of Clemson University to map a clear, useful path for engineers who want results without the hype. We start with the basics - clean data, the right algorithm, and a realistic mindset - and climb toward explainability, causality, and even philosophy to show where AI informs decisions and where it can quietly mislead. We dig in...

I’m not stressed by AI itself. I’m stressed by the insatiable greed of those who profit from it, even if it means sacrificing large parts of the population. I'm also stressed about how ruthlessly it can be abused to cause deliberate harm. In this episode I'm not taking you into world of fire science, but rather into my own thoughts on how the AI revolution influences our lives. And I was influenced it just last week - through a phishing attack on the IAFSS, and through reading a very disturbing...

AI is changing the world. But can artificial intelligence truly revolutionize fire safety engineering? In this episode I took out my crystal ball, and tried to find answers in what aspects of fire engineering we could truly see a revolutionary impact of AI, and where it is more a disturbing gadget with no real application... Overall, working in the space for many years, and having talked with many luminaries of the use of AI, I would say my expectations are toned down a lot. I am still excited,...

The last time I had Xinyan on the show was in 2021, and we were all excited about the possibilities that AI could bring to Fire Safety Engineering and Smart Firefighting. Three years have passed, and while we are still excited, we can now talk about experiences. What worked and what did not? Where were the challenges, and what was simple? You can only learn that from brainstorming, you learn this by doing. Xinyan's team implemented dozens of algorithms for various projects, and it is this experi...

Have you ever wondered how the understanding of AI can revolutionize the field of civil engineering? Today I am discovering this together with our own AI trendsetter, MZ Nasser. His latest book "Machine Learning for Civil and Environmental Engineers: A Practical Approach to Data-Driven Analysis, Explainability, and Causality" is the focal point of our conversation, illuminating the significance of explainable AI and the concept of causality. Our discourse with MZ dives straight into the practic...

Innovation is a big world. A digital innovation sounds even bigger. But it is in fact our reality - we live in a world of constant change and "improvements". Many of those come to us in form of digital technologies, information processing or simply computer codes and tools. And I would say more often than not, these are not very helpful... If you share this point of view with me, you will rejoice in this podcast episode. I have invited Michael Strömgren who is the Chief Innovation Officer at BR...

It is the newest Internet craze. In my opinion, maybe even be the most disruptive tech since bitcoin or the Internet itself. And suddenly, we got a lot of very interesting conversations around, but I've lacked on oriented on the craft of Fire Protection Engineering. I'm obviously talking about generative AI and "chatbots". If you don't know this term, you should definitely read OFRs paper on that in recent SFPE Europe! Discussions on chatbots are in abundance, but people having first-hand expe...

Have you ever been fascinated by the capabilities of AI? Did you wonder how the heck can an algorithm beat humans in repetitive tasks? Or make multi-level correlations that we would never be able to figure out? I was as well. And I felt the urge to learn more about this technology, in a way to not be left out when everyone plays with their new toys... But at the same time, I felt this feeling of overwhelm and confusion about this technology. What exactly is it, where to start... Then the wall of...

Everyone is talking about AI, but how can we really use it in fire safety engineering and firefighting? Prof Xinyan Huang of HK PolyU will explain his research in this field, and we can consider it as a time travel to the future. We touch on the ideas of AI and machine learning, and what does it really do (and what it does not do). We also investigate Xinyan's most recent research where AI was successfully applied to investigate the location of a fire in a tunnel and predict the smoke layer heig...

Dr Matthew Bonner of the Imperial College London is one of the leading scientists touching on the subject of the fire safety of facades. His flavour is tackling the complexity through big data analyses and developing new ways to use AI to help us in future. His research has started few months before the Grenfell, and the tragedy has definitely made more eyes follow his studies. I think he has passed the test and provided useful knowledge that was a starting point for multiple follow up projects....