logo
episode-header-image
Aug 2022
57m 48s

🧠 Scientific Machine Learning, FEM + ML...

Jousef Murad
About this episode

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

Up next
Sep 11
CFD Visualization Best Practices - Stephan Groß | Podcast #158
Explore Siemens Simcenter: https://plm.sw.siemens.com/en-US/simcenterConnect with Stephan on LinkedIn: https://www.linkedin.com/in/s-gross/In this episode, Stephan Groß, Technical Marketing Engineer at Siemens, shares his unique journey from working on race car aerodynamics to be ... Show More
49m 12s
Sep 11
Siemens’ Digital Thread: Connecting Design & Simulation - Bob Ransijn | Podcast #157
Explore Simcenter Systems simulation: https://plm.sw.siemens.com/en-US/simcenter/systems-simulation/Connect with Bob on LinkedIn: https://www.linkedin.com/in/bobransijn/In this insightful conversation, we sit down with Bob, a seasoned System Simulation Specialist and Presales Man ... Show More
25m 40s
Sep 11
Smoothed Particle Hydrodynamics, EV Trends & AI in CFD - Martin Sonntag | Podcast #156
Explore shonDynamics: https://shondynamics.deConnect with Martin on LinkedIn: https://www.linkedin.com/in/martin-sonntag-7081a6127/From its early beginnings to a global presence, join CTO of shonDynamics, Martin Sonntag as he shares the story of how shonDynamics was built and sca ... Show More
30m 40s
Recommended Episodes
Jan 2022
Thomas Huckle and Tobias Neckel, "Bits and Bugs: A Scientific and Historical Review of Software Failures in Computational Science" (SIAM, 2019)
A true understanding of the pervasive role of software in the world demands an awareness of the volume and variety of real-world software failures and their consequences. No more thorough survey of these events may be available than Thomas Huckle and Tobias Neckel's Bits and Bugs ... Show More
1h 4m
Sep 2020
Zack Chase Lipton — The Medical Machine Learning Landscape
How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications. Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning at Carneg ... Show More
59m 52s
Mar 2023
Künstliche Intelligenz in der Medizin – Hoffnung oder Hype?
mit Prof. Jakob N. Kather, Experte für „Clinical Artificial Intelligence“ Was ist Künstliche Intelligenz und was nicht? (4:56) KI-Anwendungen in der klinischen Routine | (06:41) Evidenz bei KI-Anwendungen | (10:38) Datenqualität, Bias und Blackbox-Problematik | (16:31) Artefakte ... Show More
28m 5s
Aug 2021
Adaptivity in Machine Learning with Samory Kpotufe - #512
Today we’re joined by Samory Kpotufe, an associate professor at Columbia University and program chair of the 2021 Conference on Learning Theory (COLT).  In our conversation with Samory, we explore his research at the intersection of machine learning, statistics, and learning theo ... Show More
49m 58s
Dec 2023
SE Radio 594: Sean Moriarity on Deep Learning with Elixir and Axon
Sean Moriarity, creator of the Axon deep learning framework, co-creator of the Nx library, and author of Machine Learning in Elixir and Genetic Algorithms in Elixir, published by the Pragmatic Bookshelf, speaks with SE Radio host Gavin Henry about what deep learning (neural netwo ... Show More
57m 43s