Seminars, Outreach & Media mentions:

• 2025 Joint Summer Series: AI Developments that will Shape the Practice of Structural Engineering, Presented by The Structural Engineering Institute (SEI), the National Council of Structural Engineers Associations (NCSEA), and the Coalition of American Structural Engineers (CASE) (with Kris Dane and David Odeh). [Flyer] [YouTube]

• 2025 The VII International Congress of Safety in Ports, June 18-19, 2025, at A Coruña, Spain. Title: Beyond the Port: How AI Navigates The Rising Tide of Port Risks. Keynote. [link]

• 2025 The First Symposium on Recent Advances in Fire and Life Safety. Sharjah International Fire Technology & Engineering Conference (SIFTEC 2025) Series, April 9-10, 2025, at the American University of Sharjah. Keynote speaker and training workshop on AI for firefighters.

• 2024 Flocode Podcast with James O'Reilly [Machine Learning in Structural Engineering] [link]

• 2024 Invited presentation at the 3rd International Conference on ACE (Architectural, Civil and Environmental) Forensic Engineering, Forensic Research Center for Infrastructure, Korea University. Title: Integrating Machine Learning into Building Codes: Establishing Equivalence through Causality and Intuition. [flyer]

• 2023 Invited presentation at the ACI Fall Convention in Boston, MA. Title: Big Data to Discovery: Advancing Concrete Material through Explainable and Causal AI.​

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• 2023 Seminar at the 14th International Symposium on Fire Safety Science (Tsukuba, Japan). Title: Knowledge Discovery through Machine Learning. 

• Appeared on the Fire Science Show (October 2023) - Revolutionizing Civil Engineering Through AI (Ep. 121)

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• 2023 Seminar at Michigan State University (October 2023). Title: Machine Learning and Fire Design.

• 2023 SFPE Student Chapter at the University of Queensland. Title: Machine Learning: Verifying Domain Theories and Uncovering Hidden Knowledge. [flyer] [link]

• 2023 The 14th North American Masonry Conference, Omaha, NE. Title: Buildings, Robotics and AI: Future of AEC (with Prof. Javier Irizarry). [flyer] [link]

• 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 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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