The Engineered-Mind Podcast | Engineering, AI & Technology

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/

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

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

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

💼 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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🌎 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.
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🌎 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.

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👉 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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🌎 Aliyar on LinkedIn:   / aliyar-javadi-4b078124   As a Ph.D. in Chemical Engineering (Multiphase Processes), Aliyar has been involved in characterization of liquid Interfaces & colloids, dynamic surface properties, physical-chemistry & kinetics of adsorbed layers of complex fluids (surfactants, proteins, enzymes and nanoparticles), Computational Fluid Dynamics Simulations (CFD) and biomedical engineering for more than 20 years at Max Planck Institute for Colloids and Interfaces (MPIKG, 2006-2015), Technical University of Berlin, Dresden, and Helmholtz Center (2016-2023), Universities of Sharif and Tehran (2001-2006, 2013-2020). ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

🌎 MATLAB OSS: https://www.matlabexpo.com/online/202...

Heather Gorr holds a Ph.D. in Materials Science Engineering from the University of Pittsburgh and a Masters and Bachelors of Science in Physics from Penn State University. Since 2013, she has supported MATLAB users in the areas of mathematics, data science, deep learning, and application deployment. She currently acts a Senior Product Marketing Manager for MATLAB, leading technical marketing content in data science, AI, deployment, and advanced MATLAB and Python programming. Prior to joining MathWorks, she was a Research Fellow, focused on machine learning for prediction of fluid concentrations.

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🌎 Robotics, Vision and Control Book: https://geni.us/ndWI 🤖 Robotics Systems Toolbox: https://www.mathworks.com/products/ro...

Computer Vision Toolbox: https://www.mathworks.com/products/co...

Lidar Toolbox: https://www.mathworks.com/products/li...

Image Processing Toolbox: https://www.mathworks.com/products/im...

All MathWorks toolboxes: https://www.mathworks.com/products.html

Peter Corke is a distinguished professor of robotic vision at Queensland University of Technology, serving as the Director of both the QUT Centre for Robotics and the ARC Centre of Excellence for Robotic Vision. His research focuses on enabling robots to see and applying robotics in fields like mining, agriculture, and environmental monitoring. He has held visiting positions at Oxford, the University of Illinois, Carnegie Mellon University, and the University of Pennsylvania. He earned his undergraduate and Master’s degrees in electrical engineering, along with his PhD, all from the University of Melbourne. Witold Jachimczyk manages the Computer Vision and Automated Driving development teams at MathWorks. He worked on the Image Processing Toolbox(™) prior to leading the development of Computer Vision Toolbox(™) and Automated Driving Toolbox(™). Before MathWorks, he worked at Data Translation developing machine vision software and at Polaroid on embedded systems. Witold holds a B.S. and an M.S. in electrical engineering from Worcester Polytechnic Institute. Remo Pillat is the MathWorks development manager for the robotics and autonomous systems group, which focuses on providing a set of robust algorithms and simulation tools for autonomous ground vehicles, robot manipulators, and UAVs. Prior to joining MathWorks, Remo’s research at the University of Central Florida (UCF) focused on multisensor fusion, state estimation, and environment modeling for autonomous ground vehicles. He was the chief software engineer for UCF’s self-driving car and responsible for vehicle control as well as real-time obstacle detection and tracking.

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🌎 Hyperganic Homepage: https://hyd.sg/3XZ1qO8

With nearly four decades of global technical experience, Michael combines dynamic business acumen with transformative tech leadership. Before Hyperganic, his extensive career has seen him in pivotal roles, such as the Head of Data Science at Minds and CTO at several firms, including Tasman Analytics and Snupps. His expertise in technical architecture, IT, project management, and cloud computing skills are pivotal in blending technology strategies with business objectives. Michael’s leadership in cross-cultural settings and mentorship of emerging tech talent underscores his substantial contributions to the global tech landscape, driving high-impact teams to success.

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Digital Twins are considered so important to business that they were named three years in a row among Gartner’s Top 10 Strategic Technology Trends. It is widely accepted that Digital Twins lead to high savings along the entire lifecycle and will allow for novel services such as on-site diagnostics, prescriptive maintenance, or operation optimization. 🌎 Sven on LinkedIn: https://www.linkedin.com/in/sven-herr... 👉 Explore Simq: https://simq.de/en/ As a pioneer of in silico medicine, Simq drives the adoption of innovative and new technologies and provides development and consulting services to medical device manufacturers. Simq provides deeper insights and more information for developing innovative medical devices, diagnostics, and therapies based on their unique technology. Simq is a certified simulation service provider and software manufacturer in medicine and medical technology and is one of the pioneers of in silico medicine. 📥 Free Science News Every Sunday: http://jousef.substack.com ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

Synera leverages Low-Code to automate engineering processes, fostering agile hardware development while seamlessly connecting CAx tools and centralizing expertise across the organization. 📥 Free Science News Every Sunday: http://jousef.substack.com ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

Marco Pietropaoli is the CEO and Co-Founder of ToffeeX. Dr Pietropaoli attended Imperial College London in 2015 where he obtained his PhD. Experience the future of engineering design. ToffeeX is a cloud-based, physics-driven generative design software that employs physics simulations to guide the engineering process, autonomously creating optimized designs that meet the user’s objectives. 📥 Free Science News Every Sunday: http://jousef.substack.com ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

Paola Jaramillo is working at MathWorks as the Technical Manager for the Application Engineering team supporting you and your team of domain experts in the vision creation and implementation of innovative technologies with leading tools and services for professional software development. She is an active participant in high-tech events in Benelux, such as the Smart Systems Industry Summit, Bits & Chips Smart Systems, Dutch Machine Vision Conference, and AutoSens. Her interests are sensor data analytics and autonomous systems, where Signal and Image Processing, Computer Vision, and Deep Learning are commonly used. In her previous experience, she implemented a sensor-based DSP system for Structural Health Monitoring and developed a sensor-based predictive (Machine Learning) system that optimizes energy consumption in office buildings. ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

Throughout his professional career, Moritz has have always been inspired by the elegance and simplicity of solutions produced by nature. With todays tools we are rapidly approaching a state where we will be able to design parts that come very close to natures designs. To Moritz the combination of creativity (thinking outside of the box, or cross-disciplinary), openness (culturally and to other approaches like seen in nature) combined with the tools available (like computational design, optimization and machine learning as well as production techniques like additive manufacturing) creates the perfect mixture to drive innovation forward and thus address todays pressing challenges, like sustainability. At Hyperganic, Moritz helps to develop and apply these tools to generate the next generation of additively manufactured components. ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

Justin Hodges’ passion for Artificial Intelligence (AI) was ignited in 2017 during an internship at Siemens Healthineers, where he used computational fluid dynamics (CFD) to model airway diseases within the lungs. His experiments fusing AI with CFD tools and workflows produced astonishing results, becoming the central focus of his graduate studies and his AI-focused career at Siemens. Online, Justin is well-known for his fluid dynamics videos on LinkedIn and his appearances as an AI expert on various podcasts. Yet, there is more to Justin than just offering insights on the latest technological trends. He is also an espresso enthusiast, enjoying the process of roasting his own beans and crafting the perfect cup. Throughout his academic journey at the University of Central Florida, where he earned his bachelor’s, master’s, and Ph.D. degrees, Justin was immersed in a lab affiliated with Siemens Energy. His focus was on Industrial Turbomachinery, exploring fluid mechanics, aerodynamics, turbulence, and heat transfer. An internship with Siemens (formerly CD-adapco) had him working extensively with Simcenter STAR-CCM+ software, specializing in CFD engineering simulations. Justin’s work with Siemens Healthineers began in 2017, where he worked on pioneering CFD/AI applications for modeling airway diseases, marking his introduction to AI. His enthusiasm for AI grew as he witnessed its efficiency compared to traditional numerical techniques. AI became a central component of his work, and he integrated it into his Ph.D. and various projects at Siemens. His role evolved into a Senior AI/Machine Learning (ML) Technical Specialist in Product Management, reflecting the increasing significance of AI in engineering simulations. Justin’s work primarily involves CFD, a field that has seen remarkable advancements through the integration of AI and machine learning. These technologies enhance the capabilities of traditional statistical methods, revealing intricate relationships within complex data sets. Justin’s favorite simulation work involves optimization software where machine learning models streamline the process, significantly reducing time and cost. Beyond his technical expertise, Justin emphasizes the importance of emotional intelligence in tech-heavy roles, advocating for effective collaboration and maintaining work-life balance to avoid burnout. He believes in the value of mentorship, setting ambitious goals, and the significance of networking and building meaningful relationships. Justin recently published a book titled “Approaching Machine Learning Problems in Computational Fluid Dynamics and Computer Aided Engineering Applications: A Monograph for Beginners.” This practical guide aims to help CFD/CAE practitioners become more comfortable with machine learning projects, sharing his experiences and providing hands-on examples in Python. ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 💌 My weekly science newsletter - https://jousef.substack.com/ 📸 Instagram -   / jousefmrd   🐦 Twitter -   / jousefm2  

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🌎 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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💻 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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🌍 Free Trial: https://eu1.hubs.ly/H05qHRB0 📝 Whitepapers: https://eu1.hubs.ly/H05qHTf0

As 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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🌍 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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📕 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.com Miguel 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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🌍 Dominique's website: https://www.fea-academy.com/ 🌍 Evotech CAE: https://evotechcae.com/ 💼 Dominique on LinkedIn:   / dominique-madier   💼 Steffan on LinkedIn:   / steffan-evans   Dominique 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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🌍 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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📚 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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🌍 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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🌍 Get Jeremy's Book on LinkedIn: https://geni.us/wFxcppz

Jeremy Schifeling has devoted his career to helping others succeed in theirs. From teaching kindergarten in Brooklyn to recruiting top students at Teach For America to leading education marketing at LinkedIn, he’s touched the lives of millions of people at every stage of their journeys. Along the way, he’s published the best-selling LinkedIn book on Amazon, served as a career coach for military veterans and MBA students at the University of Michigan, and produced the most-viewed video in LinkedIn’s history. He currently leads consumer marketing at Khan Academy and shares his thoughts on Break into Tech, a site for anyone who wants to launch a tech career: www.breakinto.tech

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🌍 Get Thomas Book Here: https://geni.us/jOIOf

Thomas Anderson is a Swedish entrepreneur, change manager, inspirational speaker, and life coach. He helps people and companies in their transformation journeys. He has extensive experience from global companies as a project manager, change manager, and management consultant. He has always been close to the change process as his main work has been managing digital transformation, being the bridge between IT and the business, which affects people in many ways. Global projects have taken him to the United States, China, and many of the European countries. He has an MSc in Industrial Engineering and Management from Linköping University, Sweden, and has studied at the School of Business at Queen’s University, Canada, and in Barcelona, Spain. In 2015 he was successful in his career and lived with his family in a nice house—he had all that you “ought to” have. But there was something missing in life, he was trapped in an emotional prison of self-doubt, stress, anxiety, and feelings of worthlessness. He didn’t know how to be there for himself, and he was on the brink of burnout. That was a starting point and over three years he completely turned his life around, a journey which he now shares in his book, The Vulnerable Man (released in Sweden in 2019 and internationally in 2021).

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🌍 Official ISimQ Website: https://www.isimq.com/

ISimQ stands for “Innovative Simulations with Quality”. It was founded in May 2016 by Paul Galpin, Thorsten Hansen and Georg Scheuerer. Georg Scheuerer founded Advanced Scientific Computing in Germany which is the predecessor of ANSYS Germany, and has successfully grown this company over a period of 25 years. Georg’s academic background is turbulence, heat transfer and multiphase flow. Georg also brings experience and expertise in project, account and team management.

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