Host of The Engineering Pathways Series:

• Ep. 01 Jeremiah Burton [Watch below]

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​Media mentions & Seminars:

• 2023 Clemson University's Artificial Intelligence Symposium. Title: Causality, Engineering, Machine learning, and Systems.

• 2023 May 2023 Middle Tennessee SFPE Chapter Meeting. Machine learning and Causality for Fire Engineers. [link]

• 2023 at the ASCE Central PA chapter. Title:Machine Learning 101 for CEE: Navigating Data, Explainability & Causality. [flyer] [link]

• 2023 The 2nd International Conference on ACE (Architectural, Civil, and Environmental) Forensic Engineering, Korea University. Title, Beyond Machine Learning: Causality & Knowledge Discovery in structural engineering. [flyer]

• 2022 ASCE Convention. Title, Unboxing Machine Learning for Civil Engineers: From Data-driven to Explainability & Causality. [flyer]

• 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)

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• 2021 Inducted into the Elsevier's 2% Science-wide author databases of standardized citation indicators

• AISC Engineering Journal. Steel Structures Research Update. Vol 58, 2021 [link] [journal]

• 2021 ASCE Convention. Title, "Modernizing Civil Engineering through Machine Intelligence".

• The Department of Civil, Structural and Environmental Engineering at the University of Buffalo. CSEE Seminar - Title, "Demystifying The Blackbox: A Glimpse into the Potential of Machine Learning in Advancing Knowledge Discovery in Civil Engineering Systems. [link] [flyer]

• Thar Talk Series: AI and Beyond (an international series sponsored by the IIT system). Title, "Hiding in Plain Sight: The Role of Machine Learning in Modernizing Civil Engineering" [link]

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• ACI Featured Session: The Concrete Industry in the Era of Artificial Intelligence

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

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• 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".

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