The Engineered-Mind Podcast | Engineering, AI & Technology

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! 🚀

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🌎 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.

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🌎 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.

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🌎 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...

🌎 Learn more: http://www.latticept.com/our-services/

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