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The Engineered-Mind Podcast | Engineering, AI & Technology
By Jousef MuradEducation
The Engineered-Mind Podcast | Engineering, AI & Technology episodes
- GPU-Accelerated Fluid Dynamics - Petr Kodl | Podcast #121
🌎 Simcenter Engineering: https://go.sw.siemens.com/QeBWrR7w
🎬 Simcenter YouTube: https://www.youtube.com/c/SiemensSoft...Hear Petr Kodl from Siemens talk about GPU-enabled acceleration of CFD simulation.
Representation of the benefits of running Simcenter STAR-CCM+ on GPUs provides computational fluid dynamics (CFD) capabilities to go faster while modeling the complexity. One of the constant challenges for computational fluid dynamics (CFD) engineers is to have a good level of simulation throughput.CPUs, ARM, GPUs: In times of an increasingly heterogeneous hardware landscape, there are many choices, and simulation engineers need to identify the hardware that best fits their current needs.—————————————————————————————
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46 min - Physics-Informed Neural Networks (PINNs) - Conor Daly | Podcast #120
💻 Full tutorial: • Physics-Informed Neural Networks (PIN...
Physics-Informed Neural Networks (PINNs) integrate known physical laws into neural network learning, particularly for solving differential equations. They embed these laws into the network's loss function, guiding the learning process beyond just data fitting.This integration helps the network predict solutions that are not only data-driven but also align with physical principles, making PINNs especially useful in fields like fluid dynamics and heat transfer. By blending data with established physics, PINNs offer more accurate and robust predictions, especially in data-scarce scenarios.
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1 hr 5 min - A Low-Code Approach in Mechanical Engineering - Mike Grau | Podcast #119
Mike Grau is an engineer by heart, with a passion for challenges. He believes the future is in the convergence of design, simulation, and manufacturing through automation. And it is energizing for him to work with customers at Synera to inspire and demonstrate new workflows.
In this podcast, we dive deep into the world of "The New Engineering: Transforming Workflows Using Low-Code"Each episode features insightful conversations with industry experts and thought leaders who share their expertise and experiences with Synera.—————————————————————————————
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31 min - The Engineer of the Future - Moritz Maier | Podcast #118
🌍 Free Trial: https://eu1.hubs.ly/H05qHRB0
📝 Whitepapers: https://eu1.hubs.ly/H05qHTf0As a renowned aerospace engineer and entrepreneur, Moritz specializes in model-based engineering and generative design. His journey began with obtaining a doctorate in product development processes, followed by invaluable experience as a senior consultant in generative design and additive manufacturing. This led him to establish Synera, a deep-tech startup dedicated to revolutionizing the engineering sector.
Synera is the leading low-code platform for Connected Engineering, enabling full automation and algorithm-based process modeling. Synera integrates all data and expert knowledge into the development process, providing engineers with the technical capabilities that are usually only available to software developers. Based in Bremen, North Germany, Synera supports international firms across a wide range of industries, including the automotive, aerospace, and consumer good sectors.Would you like to find out more about Connected Engineering with Synera’s low-code platform?
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34 min - Ultraspeaking: Powerful Habits To Build Your Confidence - Aliénor Hunter | Podcast #117
🌍 Ultraspeaking Class: https://ultraspeaking.com/fundamental...
Alienor Hunter went from struggling with social anxiety to becoming one of Ultraspeaking's top coaches . . . in only 11 months! This episode of the Ultraspeaking podcast reveals Alienor's remarkable story and highlights the steps she took to transform her confidence and communication skills.
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42 min - Engineering & PhD Life – Miguel Alfonso Mendez | Podcast #116
📕 Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning : https://geni.us/08JM
🌍 Miguel's website: https://www.mendezma.com🌍 Machine Learning for Fluid Mechanics: Analysis, Modeling, Control and Closures: https://www.datadrivenfluidmechanics.comMiguel Alfonso Mendez is an Associate Professor at the von Karman Institute for Fluid Dynamics (VKI). Here, he teaches differential equations for fluid mechanics, signal processing, and experimental methods at the Research Master program (Master after Master) in fluid dynamics. His research interests include engineering modelling of fluid flows, experimental fluid mechanics, data-driven modal analysis, flow control, inverse problems, and machine learning.
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1 hr 8 min - The Finite Element Method - Dominique Madier & Steffan Evans | Podcast #115
🌍 Dominique's website: https://www.fea-academy.com/
🌍 Evotech CAE: https://evotechcae.com/💼 Dominique on LinkedIn: / dominique-madier💼 Steffan on LinkedIn: / steffan-evansDominique is a senior aerospace consultant with more than 20 years of experience and advanced expertise in Finite Element Analysis of static and dynamic problems for linear and nonlinear structural behaviors.He is the author of the FEA book "Practical Finite Element Analysis for Mechanical Engineers", a book about the best practical methods and guidelines for the development and validation of finite element models. It gives to structural engineers the keys to developing accurate and reliable finite element models.Steff Evans runs Evotech Computer-Aided Engineering, on a consultancy basis in the UK. He support companies large and small with product development through advanced FEA. This is often based on pure engineering consultancy, training, software resales, or a combination of all three.He is heavily focused on the technical deployment of a ground-breaking contemporary CAE platform, MSC Apex, throughout the simulation and CAE world. Through a combination of content distribution and online training, he brands himself ‘the Apex guy!’, posting interesting and varied articles to a global audience on best practice and workflow development to get the best efficiency from FEA workflows.—————————————————————————————
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52 min - Computational Engineering - Josefine Lissner | Podcast #114
🌍 LEAP71: https://leap71.com/
🌍 PicoGK: https://leap71.com/picogk/Josefine Lissner is an early pioneer in the field of Computational Engineering. Some of her work has been hailed as a historic milestone in physical designs and 3D-printing.
Josefine uses computer code to build the world’s most astonishing and complex physical objects. She is the founder of LEAP 71, a company working on designing and producing the next generation of computer-generated machines.Before starting her current venture in 2023, she was the Strategic Engineering Lead at Hyperganic, helping push and build the company’s technology and credibility through a number of industry-first projects. She has a Masters Degree in Aerospace, Aeronautical and Astronautical/Space Engineering from the University of Stuttgart, Germany. During her studies, she built a record-breaking drone at Infineon and participated in an Astronaut Training at ESA.
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39 min - Modern Education & Large Language Models (LLMs) - Luis Serrano | Podcast #113
📚 Grokking Machine Learning by Luis: https://bit.ly/3TfQKtS
🌍 Cohere LLM University: https://docs.cohere.com/docs/llmu
Dr. Luis Serrano’s interest in mathematics started in high school when he participated in mathematical olympiads, representing his native Colombia. Later, he completed a bachelor’s and master’s in mathematics at the University of Waterloo.He then earned a Ph.D. in mathematics (algebraic combinatorics) at the University of Michigan and a postdoctoral fellowship at the University of Quebec at Montreal. He became interested in other topics and decided to leave academia and switch to industry. After working at Google as a machine learning engineer in the YouTube video recommendations team, he decided to pursue his passion for teaching.He moved to Udacity as the head of artificial and data science content, where he taught several online courses in machine learning, deep learning, AI, and related topics. He then moved to Apple as a machine learning educator.Dr. Serrano loves learning new things and always found quantum physics and quantum computing fascinating. For this reason, he became a research scientist at Zapata computing, specializing in the intersections between machine learning and quantum computing, quantum neural networks, etc.He is the author of the book Grokking Machine Learning, in which he explains machine learning in a friendly approachable way, with stories and pictures instead of formulas. Dr. Serrano’s work in quantum artificial intelligence uses physics, linear algebra, probability theory, and combinatorics.—————————————————————————————
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45 min - Become a Better Coder - Mike Croucher | Podcast #112
🌍 Mike's Presentation: https://mikecroucher.github.io/reprod...
Mike Croucher is Customer Success Engineer at MathWorks where he works with researchers and educators on many different aspects of research computing.
His interests center around research software engineering, high performance and cloud computing and various aspects of machine learning, mathematics and science and he have over 20 years of experience in the field.—————————————————————————————
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59 min
About The Engineered-Mind Podcast | Engineering, AI & Technology
From the publisher's feed
In the Engineered-Mind podcast, Jousef Murad is talking to researchers, scientists and engineers and how their work is shaping the world around us. The podcast covers topics around engineering,…
artificial intelligence, technology and more to inspire and educate people all around the world.