57 min

🧠 Scientific Machine Learning, FEM + ML, PINNs – Ehsan Haghighat | Podcast #79 The Engineered-Mind Podcast | Engineering, AI & Technology

    • Education

Dr. Ehsan Haghighat is a Postdoctoral Fellow at UBC studying stochastic modeling and uncertainty quantification of engineering systems. Previously, he was a Postdoctoral Associate at MIT where he studied the assessment of induced seismicity due to CO2 sequestration and oil and gas injection and production, Stochastic Modeling, and Machine Learning.   He received his Ph.D. from McMaster University specializing in Computational Geomechanics. His research interests include computational methods for mechanics of solids and porous media, stochastic modeling and uncertainty quantification, and machine learning of engineering systems.

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👉 Science Academy: academy.jousefmurad.com

🌎 Website: http://jousefmurad.com/

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

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Dr. Ehsan Haghighat is a Postdoctoral Fellow at UBC studying stochastic modeling and uncertainty quantification of engineering systems. Previously, he was a Postdoctoral Associate at MIT where he studied the assessment of induced seismicity due to CO2 sequestration and oil and gas injection and production, Stochastic Modeling, and Machine Learning.   He received his Ph.D. from McMaster University specializing in Computational Geomechanics. His research interests include computational methods for mechanics of solids and porous media, stochastic modeling and uncertainty quantification, and machine learning of engineering systems.

—————————————————————————————

👉 Science Academy: academy.jousefmurad.com

🌎 Website: http://jousefmurad.com/

📥 Weekly free science insights newsletter: jousef.substack.com

🐤 Follow me on Twitter: @jousefm2

📷 Follow me on Instagram: @jousefmrd

57 min

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