Engineered-Mind Podcast | Engineering, AI & Neuroscience

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. ONLINE PRESENCE ================

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 ================

Rob Bastiaans is an Associate Professor in the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). In this capacity, he is also Chairman of the Dutch Section of the Combustion Institute and Chairman of the workgroup on Fuel Flexibility and Emissions of ETN (European Turbine Network). His teaching at TU/e revolves around mechanical Engineering, modelling combustion and sustainable energy sources. Rob's areas of expertise include fluid mechanics, modeling and simulation, computational fluid dynamics, numerical simulation, numerical modeling, numerical analysis and CFD simulation. Current research includes the performance of flamelet generated manifolds (FGM) in premixed turbulent cases, measuring burning velocities with the heat flux method and FGM and pre-assumed PDF's In LES of combustion. Upcoming projects will look at complicated diffusion and combustion design. ONLINE PRESENCE ================

Synera is the leading low-code platform for Connected Engineering, enabling full automation and algorithm-based process modeling. It integrates all data and expert knowledge into the development process, providing engineers with 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 goods sectors. Would you like to learn more about Connected Engineering with Synera's low-code platform? ONLINE PRESENCE ================

After receiving a bachelor's degree in Mechanical Engineering in 1992 and a PhD for CFD research in 1996 from Brunel University in the UK, Robin joined Flomerics as a Simcenter Flotherm support and application engineer. By the time of the acquisition of Flomerics by Mentor Graphics in 2008 he was the Product Marketing Manager for Flotherm. Since the acquisition of Mentor Graphics by Siemens in 2017 he is a Senior Key Expert in the Simulation and Test Solution division. With over 25 years' experience in the field of electronics thermal simulation, he has published over 30 journal and conference papers and has had 7 patents granted. ONLINE PRESENCE ================

Franziska Geiger, born in Apfeldorf, Germany, is a talented software developer currently based in Zurich, Switzerland. With a strong background in computer science and a passion for technology, Franziska has made her mark in the tech world, particularly as a software developer at Google. Her journey in the field began with a focus on natural sciences during her time at the Ammersee-Gymnasium in Dießen. She went on to pursue a Bachelor's degree in Business Informatics at the University of Augsburg, followed by an elite Master's program involving three universities. During her studies, she had the opportunity to work on her Master's thesis at the prestigious MIT in Boston, focusing on artificial intelligence and brain research. ONLINE PRESENCE ================

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.

Synera leverages Low-Code to automate engineering processes, fostering agile hardware development while seamlessly connecting CAx tools and centralizing expertise across the organization.

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.

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 ================

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 ================

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 ================

Jim has always been interested in solving hard math problems under pressure. He runs Fastway Engineering, a two-pronged business providing world-class CAD/CAE training and in-demand CAD/CAE consulting services. The training arm of Fastway helps engineering teams of all sizes stay competitive by teaching powerful and profitable FEA skills to all levels of employees. Jim has over 16 years of high-level engineering experience. He is a leading expert in the application of computer-aided design (CAD), finite element analysis (FEA), and computational fluid dynamics (CFD). As a trainer and consultant, Jim has enriched the careers and capacities of hundreds of students and raised the bottom line of dozens of companies. He began working for companies like Northrop Grumman, Westinghouse, and Kodak on products ranging from industrial document scanners to nuclear submarines. Now at the helm of his company, Jim provides training and consulting services for Fortune 500 companies, mid- and small-sized engineering firms, academic institutions, and CAD/CAE software companies. ONLINE PRESENCE ================

Rafael Ritterbusch is a Product Manager specializing in structural solvers at Siemens Digital Industries Software. Since October 2023, he has been responsible for managing structural solvers within the Mechanical Solution Domain. Prior to this role, Rafael was the Technical Product Manager for Solid Mechanics, Fluid-Structure Interaction, and CAE Interoperability at Siemens, working on Simcenter STAR-CCM+ from March 2017 to October 2023. He also served as a Business Development Technical Specialist for Fluid-Structure Interaction at CD-adapco and Siemens between January 2013 and March 2017. Before that, he contributed as a CFD Consultant in the Engineering Services division at CD-adapco from December 2010 to December 2012. His extensive experience in the field encompasses both business development and technical product management in computational fluid dynamics and structural analysis. ONLINE PRESENCE ================

Kanchan is an aerospace engineer by training. Early on, she became fascinated with computational fluid dynamics and decided to make her career in this field. Her last stint was in a CFD software development firm that catered to the helicopter industry. She spent some time in the US at Iowa State University. Mumbai after marriage, and presently, she lives in Singapore with her husband and her two lovely daughters (my opinion on their loveliness is liable to change depending on how the day progresses!). As a Product Manager, she is very much in touch with CFD and simulation, while also being involved in the business-facing aspects of technology. —————————————————————————————

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. —————————————————————————————

Lutz Böhm graduated in the field ‘‘Process and Energy Engineering'' at Technische Universität Berlin in 2009 and, afterwards, started working at the Chair of Chemical and Process Engineering. In 2015, he successfully defended his PhD thesis‘‘Comparison of single bubble and bubble swarm behavior in narrow gaps inside flat sheet membrane modules''. Since then, he works as a postdoctoral fellow in the field of ‘‘Transport phenomena in reactive Newtonian and non-Newtonian multiphase systems

As a pioneer of in silico medicine, Simq drives the adoption of innovative and new technologies and provide development and consulting services to medical device manufacturers. Simq provides deeper insights and more information for the development of innovative medical devices, diagnostics and therapies based on their unique technology. Simq is a certified simulation service provider and software manufacturer in the field of medicine and medical technology and is one of the pioneers of in silico medicine. —————————————————————————————

Pete Warden was the technical lead of the TensorFlow Micro team at Google, and was previously founder of Jetpac, a deep learning technology startup acquired by Google in 2014. He's one of the original creators of the TensorFlow framework, wrote the leading textbook for embedded machine learning, and created a standard data set for short speech recognition. You can find him on Twitter as @petewarden, he blogs at petewarden.com, and has a series of videos available on YouTube. —————————————————————————————

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. Yann Debray is a highly skilled MATLAB Product Manager with a passion for data science and technology computing. He has been with MathWorks, a leading provider of MATLAB software, since June 2020 and has since contributed significantly to the company's success. As a Product Manager, Yann is responsible for ensuring that MATLAB remains at the forefront of the industry by keeping up with the latest trends and technologies. He has a deep understanding of the data science market and uses this knowledge to help MathWorks' customers succeed. —————————————————————————————