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 becoming one of the leading voices in CFD visualization. He explains why scientific visualization is so important for engineers, how storytelling turns raw numbers into powerful insights, and what common mistakes to avoid in post-processing. We also discuss what the future of CFD visualization might bring, including the role of AI, cinematic rendering, and VR in making simulations more accessible and impactful!

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 Manager at Siemens Digital Industry Software, to explore the fascinating world of system simulation. Bob walks us through the origins of simulation — from its beginnings in the Manhattan Project to its evolution into a cornerstone of modern engineering.We cover the fundamentals of system simulation, discuss the rise of multi-physics modeling, and unpack the crucial differences between digital twins and digital threads. Bob also explains how AI and machine learning are driving faster, more accurate reduced-order models, enabling innovations like predictive maintenance and real-time digital twins.This episode highlights not just the technological evolution but also the democratization of simulation, making it accessible to a wider range of engineers and industries, from automotive to aerospace. Want to learn more?👉 Check out the following webinars by Siemens:System simulations for the heavy equipment industry: https://webinars.sw.siemens.com/en-US/system-simulations-for-heavy-equipment-industry/Boost fluid systems performance, through system simulation: https://webinars.sw.siemens.com/en-US/fluid-systems-simulation/Improve energy efficiency and performance of next generation cooling and heating technologies through digitalization: https://webinars.sw.siemens.com/en-US/hvacr-performance-and-efficiency-levels-with-system-simulation/

Explore shonDynamics: https://shondynamics.de

Connect 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 scaled over the past years. In this conversation, we explore the company’s growth journey, the rapidly evolving EV market in China, and how AI is poised to transform CFD—enabling faster, smarter, and more reliable engineering decisions.

🔗 Toffeex Link: https://toffeex.com🔗 Thomas Rees on Linkedin: https://www.linkedin.com/in/twrees/?originalSubdomain=uk 📌 Episode Overview:In this episode, we explore the cutting edge of modern engineering design—from mimicking natural evolution with generative algorithms to stripping away excess material through advanced topology optimization.You’ll learn when to use tools like CFD vs. Topology Optimization, how platforms like ToffeeX are disrupting the design process with speed and precision, and how these innovations plug into your existing CAD, PLM, and simulation stacks.Whether you're working on lightweight aerospace parts, EV cooling systems, or high-performance consumer products, this conversation will show you how to design smarter, faster, and leaner.🎙 Key Topics:1. Generative Design vs. Topology Optimization — What’s the difference?2. Real-world use cases across industries3. Tool spotlight: Why engineers are turning to ToffeeX4. Integration into CAD, PLM, and simulation workflows5. The future of AI-driven, autonomous product design

🔗 FUCHS Lubricants: https://www.fuchs.com/group/🔗 NYE Lubricants: https://www.nyelubricants.com/contact-us-form🔗 Connect with Rich on LinkedIn: https://www.linkedin.com/in/richardbellizzi/🔗 Dive CAE: https://divecae.com📌 Episode Overview:In this episode of the Engineered-Mind Podcast, Jousef Murad speaks with experts from FUCHS Lubricants about how digital simulation is reshaping the future of lubrication. From IoT-enabled lubricants and predictive maintenance to multiscale material simulation, this deep-dive explores how AI, cloud computing, and virtual testing are accelerating R&D and delivering smarter, more sustainable solutions in the lubrication industry.🎙 Key Topics:- Predictive maintenance & IoT in lubricants- Virtual screening of lubricant candidates- Molecular-to-macroscale modeling- Building a cloud-native simulation pipeline- Real-world success stories & faster development cycles- Advice for early-career engineers in digital R&D

🔗 Altair® RapidMiner®: https://altair.com/altair-rapidminer🔗 Altair® IoT Studio™: https://altair.com/altair-iot-studio 🔗 Altair Blog – AI in Engineering: https://altair.com/blog🔗 Connect with Roland on LinkedIn: https://www.linkedin.com/in/roland-m-jones/?originalSubdomain=uk📌 Episode Overview:In this episode of the Engineered-Mind Podcast, Jousef Murad speaks with Roland Jones about the journey of adopting AI in engineering—from foundational data preparation to advanced applications like predictive maintenance and generative AI. With decades of experience in mechanical and aerospace engineering, Roland shares insights into how engineering teams can start small and scale their AI efforts effectively.

Blog Post: Beyond Dark Mode - The Why Behind The Biggest Changes in MATLAB’s Latest Release: https://www.engineered-mind.com/coding/the-biggest-changes-in-matlabs-latest-release/ What’s new in R2025a: https://www.mathworks.com/products/matlab/whats-new-r2025a.html MATLAB Central community: https://www.mathworks.com/matlabcentral/MATLAB Online: https://www.mathworks.com/products/matlab-online.htmlMATLAB Cloud Integration: https://www.mathworks.com/solutions/cloud.html

In this episode, I speak with Michelle Hirsch from MathWorks about the major changes in the MATLAB's Big Update. We discuss the shift from Java to a JavaScript/HTML-based desktop, enabling a more modern, web-friendly interface. Key updates include dark mode, browser-based apps, integration with tools like VS Code and Jupyter, and enhanced support for cloud workflows. Michelle explains the motivations behind the redesign, user feedback during beta testing, and how MathWorks is addressing concerns around performance, customization, and open-source integration. The episode also explores the long-term vision for MATLAB and what a cloud-native future could look like.

AI agents are the next big thing in automation, but how do they actually work, and where do they fit into the broader landscape of AI?In this episode, we sit down with Sam Bydlon, a Senior Specialist Solutions Architect at AWS, and Ram Seetharaman, an AI Lead at Synera, to explore how agentic AI is transforming engineering, automation, and decision-making. We dive deep into AI agents vs. traditional automation, discussing their capabilities, limitations, and real-world applications.We also dig into the challenges of AI adoption, why some companies struggle to embrace AI agents, and the mindset shift required for engineers and business leaders to leverage these systems successfully.

Synera: https://www.synera.io

Sam on LinkedIn: https://www.linkedin.com/in/sam-bydlon-64156122/

Ram on LinkedIn: https://www.linkedin.com/in/ramdhiwakarseetharaman/

CFD and wind tunnel testing are the backbone of high-performance engineering — but how do they complement each other, and what are the biggest challenges engineers face?In this episode, we sit down with Adrian Villar Collazo, Managing Director at VFluid Advanced Technologies and CTO at Deflect Inc, to explore the aerodynamic simulations, motorsports engineering, and real-world CFD applications. With experience in Formula 1, automotive design, and regulatory consulting for the FIA, Adrian shares insider insights on how precision engineering, data-driven simulations, and experimental validation push performance to the limits.We discuss why wind tunnel testing is still essential despite advances in CFD, how motorsports innovation drives improvements in road car aerodynamics, and what engineers need to consider when optimizing race car performance. Adrian also breaks down common CFD workflow bottlenecks, the challenges of regulation and homologation in competitive motorsports, and how teams can leverage simulation-driven design to gain an edge.

VFluid: https://www.vfluid.techAdrian on LinkedIn: https://www.linkedin.com/in/adrian-villar-collazo/

In this episode, we sit down with Felix, a YouTube educator and PhD researcher in computational science, to explore the intersection of engineering, AI, and simulation. We dive into his journey of growing a YouTube channel from scratch and discuss whether AI can truly replace physics-based simulations. The conversation also touches on the importance of education, mindset, and productivity tools in modern engineering, along with the challenges and breakthroughs in deep learning for simulation and optimization. Finally, we examine why engineers need to embrace AI-driven workflows to stay competitive.

Felix’s YouTube Channel: https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q/featured/featured

Connect with Felix:  https://www.linkedin.com/in/felix-koehler/   

In this episode, we dive deep into the world of content making, with Phil Parisi, an online educator, engineer, and YouTuber. We discuss the highs and lows of running a YouTube channel, the challenges of monetization, and the truth about passive income. From the struggles of growing a channel and why ad revenue alone isn’t enough to the challenges of developing online courses and working with companies, we uncover what it really takes to make content creation sustainable.Phil shares his experience dealing with imposter syndrome, navigating bad business deals, and learning how to build trust with the right partners. We also explore the role of influencers in brand partnerships and why authenticity matters more than ever.

💼 Connect with Phil: https://www.linkedin.com/in/phil-parisi/

🌎 More about Versionbay: https://www.versionbay.com/Connect with Gareth on LinkedIn: https://www.linkedin.com/in/g-thomas/In this episode, we sit down with Gareth Thomas, founder of VersionBay, to explore the critical role of software versioning in engineering and how companies can avoid costly mistakes when transitioning between MATLAB, Python, and Julia. Gareth shares his fascinating journey from working at MathWorks for a decade to launching his own company, helping businesses seamlessly upgrade their technical computing environments. If you've ever wondered why software updates can be a hidden challenge - or even a business risk - this episode is packed with insights you don’t want to miss.We break down the key differences between MATLAB, Python, and Julia, debunk common misconceptions, and discuss which language is best suited for different industries like automotive, aerospace, and finance. Gareth provides a deep dive into the pros and cons of each, covering topics like code generation, AI integration, DevOps best practices, and how companies can optimize their software infrastructure to stay competitive.Finally, we explore the real-world impact of software versioning, the hidden dangers of not upgrading, and why most domain experts overlook testing and DevOps principles. Whether you're a software engineer, data scientist, or technical manager, this episode will help you navigate the complex world of technical computing and make better decisions for your organization. Subscribe now for more expert insights and tech discussions! 🚀

ONLINE PRESENCE================🌍 My website - ⁠⁠⁠⁠http://jousefmurad.com/⁠⁠⁠⁠💌 My weekly science newsletter - ⁠⁠⁠⁠https://jousef.substack.com/⁠⁠⁠⁠📸 Instagram - ⁠⁠⁠⁠  / jousefmrd  ⁠⁠⁠⁠🐦 Twitter - ⁠⁠⁠⁠  / jousefm2  

🌎 Mentioned CAE tool by Andreas: https://www.divecae.comAndreas Bauer, Design Engineer at Kessler & Co (https://kessler-co.com) — a leading manufacturer of drivetrain and powertrain components for heavy mobility vehicles — reveals how cloud-native SPH simulation software is accelerating their transmission design process. By achieving highly accurate simulations faster than ever with Dive CAE’s cutting-edge simulation software, Kessler & Co is redefining innovation in drivetrain technology.

ONLINE PRESENCE================🌍 My website - ⁠⁠⁠⁠http://jousefmurad.com/⁠⁠⁠⁠💌 My weekly science newsletter - ⁠⁠⁠⁠https://jousef.substack.com/⁠⁠⁠⁠📸 Instagram - ⁠⁠⁠⁠  / jousefmrd  ⁠⁠⁠⁠🐦 Twitter - ⁠⁠⁠⁠  / jousefm2  

🌎 Learn more: https://convergecfd.com/Kelly Senecal is a co-founder of Convergent Science, a global leader in Computational Fluid Dynamics (CFD) software that is revolutionizing the industry with its predictive CFD technology. With over 26 years of expertise in the field, Senecal has been instrumental in the development of CONVERGE®, the company's flagship product, which eliminates user-defined meshing and introduces a groundbreaking process that dynamically couples automated meshing with the solver during run-time.Senecal is also a visiting professor at the University of Oxford, the chair of the ICE Division at ASME, and an elected fellow of SAE, ASME, and the Combustion Institute. He has received numerous prestigious accolades, including the 2019 ASME IC Engine Award, recognizing his significant contributions to the engine and automotive industries. A pioneer in the use of genetic algorithms for engine and combustion system optimization, Senecal is also the creator of the widely adopted LISA spray breakup model.Passionate about advancing CFD and engine technologies, Senecal has championed innovation and diversity in the field through initiatives like #HugYourEngine and #TheFutureIsEclectic. His specialties include project implementation and management, large-scale software development, spray and combustion modeling, optimization and genetic algorithms, and engine design. His work continues to shape the future of CFD and inspire progress across the engineering and automotive industries.

ONLINE PRESENCE================🌍 My website - ⁠⁠⁠⁠http://jousefmurad.com/⁠⁠⁠⁠💌 My weekly science newsletter - ⁠⁠⁠⁠https://jousef.substack.com/⁠⁠⁠⁠📸 Instagram - ⁠⁠⁠⁠  / jousefmrd  ⁠⁠⁠⁠🐦 Twitter - ⁠⁠⁠⁠  / jousefm2  

🌎 Learn more: https://www.mathworks.com/solutions/electrification/battery-systems.html Xiangchun Zhang has experience working in the field of battery research and development. They began their career at Sakti3, Inc. as a Design Engineer from 2009 to 2015. During this time, they focused on developing MATLAB codes for battery simulation and design optimization, as well as implementing parameter estimation and improved Kalman filters for battery state of charge estimation.In 2015, Zhang joined Dyson as a Design Engineer and later progressed to the role of Senior Design Engineer. They were responsible for designing battery concepts and developing multiphysics models for batteries and fabrication processes. Zhang also took on the role of Manager, Design Engineering, where they built and led a multidisciplinary battery research team and delivered solid-state battery prototypes with superior performance.Currently, Zhang is a Principal Application Engineer at MathWorks, starting in 2022. No further information is provided about their role at MathWorks.Xiangchun Zhang holds a PhD in Mechanical Engineering from the University of Michigan. Prior to that, they earned a Master of Engineering degree in Power Engineering and Engineering Thermophysics from Tsinghua University. Xiangchun Zhang's education history also includes a Bachelor of Engineering degree in Engineering Thermophysics from Tsinghua University.

ONLINE PRESENCE================🌍 My website - ⁠⁠⁠⁠http://jousefmurad.com/⁠⁠⁠⁠💌 My weekly science newsletter - ⁠⁠⁠⁠https://jousef.substack.com/⁠⁠⁠⁠📸 Instagram - ⁠⁠⁠⁠  / jousefmrd  ⁠⁠⁠⁠🐦 Twitter - ⁠⁠⁠⁠  / jousefm2  

🌎 Accelerating and Advancing Computer Aided Engineering Workflows: https://www.nvidia.com/en-us/lp/desig... 🌎 Ian Pegler's blog: https://developer.nvidia.com/blog/aut... Ian Pegler holds an M.Sc. in aerospace engineering from the University of Southampton in the UK and has accumulated 12 years of experience as a CFD engineer. Outside of work, he is a keen runner, enthusiastic programmer, and avid skier. Currently, Ian works for NVIDIA and is based in Chicago.
ONLINE PRESENCE ================ 🌍 My website - ⁠⁠⁠http://jousefmurad.com/⁠⁠⁠ 💌 My weekly science newsletter - ⁠⁠⁠https://jousef.substack.com/⁠⁠⁠ 📸 Instagram - ⁠⁠⁠  / jousefmrd  ⁠⁠⁠ 🐦 Twitter - ⁠⁠⁠  / jousefm2  

🌎 Learn more: http://www.latticept.com/our-services/ Benjamin is the founder and principal consultant of LATTICEPT and has over two decades of experience in process analysis, pressure vessel design, computational fluid dynamics, finite element analysis and welding engineering. He is a licensed professional engineer in the states of Georgia and Tennessee. He also holds two patents on novel heat transfer geometries for chemical reactors and process systems. He is an expert in computational fluid dynamics, nonlinear structural analysis, pressure vessel design and fatigue analysis. When Dr. John Thomas of M-STAR SIMULATIONS approached Mr. Turner to become the preferred consulting firm using M-STAR CFD, it was an opportunity that could not be refused. From this agreement, LATTICEPT was formed to support our clients while solving their most difficult challenges.

ONLINE PRESENCE ================ 🌍 My website - ⁠⁠http://jousefmurad.com/⁠⁠ 💌 My weekly science newsletter - ⁠⁠https://jousef.substack.com/⁠⁠ 📸 Instagram - ⁠⁠  / jousefmrd  ⁠⁠ 🐦 Twitter - ⁠⁠  / jousefm2  

👉 Jonathan on LinkedIn:   / jonathanollar   👉 Eamon on LinkedIn:   / eamon-whalen   PhysicsAI is a cutting-edge technology by Altair that leverages Geometric Deep Learning to revolutionize engineering simulations. By combining the power of AI with physics-based modeling, PhysicsAI accelerates simulation workflows, improves predictive accuracy, and enables rapid design iterations. It empowers engineers to solve complex problems efficiently, bridging the gap between traditional computational methods and AI-driven innovation. Jonathan Ersson is an accomplished engineering professional with over 13 years of experience at Altair, currently serving as the Development Manager for Engineering Data Science. He leads the development of engineering software products powered by machine learning, enabling innovative solutions for complex challenges. Previously, he worked as a Software Developer, driving data science consulting projects across EMEA and globally and collaborating on the research and development of cutting-edge products. Eamon Whalen is an Engineering Data Science Manager at Altair with over eight years of experience in engineering and data-driven innovation. In his current role, he leads initiatives to help engineering teams optimize their design processes through data and simulation technologies. Previously, Eamon served as an Engineering Data Scientist, working closely with companies to integrate data analytics and simulation into their workflows, improving efficiency and performance. His earlier role as an Application Engineer involved educating engineers across industries on finite element analysis (FEA) and structural optimization using Altair's advanced software solutions. With a strong background in engineering and a passion for leveraging data to drive innovation, Eamon continues to play a pivotal role in transforming how engineers approach design and development.

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Andy on LinkedIn:   / andy-fine-6091278   Andy Fine is a passionate engineer with a deep curiosity for understanding how things work, which he believes is the foundation of any engineer's journey. Over the course of his career, he has transitioned from engineering into the commercialization of software, holding leadership roles such as Director at Dassault, Vice President at Altair, and Commercial Head for an AI startup. This unique combination of technical and business expertise led him to launch Fine Physics, a company dedicated to rethinking the current physics and AI software model to better serve engineers. Andy relocated to the USA from the UK, recognizing that the $30 billion engineering software industry has significant opportunities, with the U.S. representing approximately 30% of the global market. Having conducted business in Europe, Japan, South Korea, India, and the U.S., he values the universal language of physics, which transcends cultural differences among engineers. With a pragmatic approach to AI, Andy focuses on practical machine learning and AI applications for 3D engineering and physics prediction, steering clear of generalized technologies like large language models. He works in two primary areas: helping companies adopt AI technologies with minimal risk and assisting startups and scale-ups in positioning their products, solving critical engineering challenges, and achieving market success. Andy’s perspective is shaped by his engineering foundation and commercial expertise, emphasizing that while tools like physics and AI enable faster and more thorough problem-solving, they cannot replace the experience of a skilled engineer. His extensive experience includes creating strategic go-to-market initiatives, managing and mentoring sales and technical teams, developing international business, and driving channel management. Andy is committed to empowering engineers and organizations to innovate more effectively and sustainably.

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Mo on LinkedIn: https://www.linkedin.com/in/mohamedsayedh/

Mohamed Aly Sayed is an aerospace engineer who holds a PhD in particle tracking and turbulent flow modeling. He has worked for Aston Martin’s F1 team and is currently a CFD development engineer for WIN-GD. He is also the founder of Simulitica, a CFD company where he builds efficient CFD GUI tools for companies.

ONLINE PRESENCE ================ 🌍 My website - ⁠http://jousefmurad.com/⁠ 💌 My weekly science newsletter - ⁠https://jousef.substack.com/⁠ 📸 Instagram - ⁠  / jousefmrd  ⁠ 🐦 Twitter - ⁠  / jousefm2