14 April 2026 | Mövenpick Hotel Stuttgart Airport
The event is free, but registration is required.
The event is free, but registration is required.
Attend MathWorks Automotive Conference Europe to connect with MathWorks and industry experts and learn more about the latest automotive trends. Discover new features and capabilities for MATLAB and Simulink and hear firsthand how customers are successfully using them.
Keynote: Scaling Software-Defined Vehicles: BMW's CI/CD Architecture for Neue Klasse
As the automotive industry undergoes a fundamental transformation toward software-defined vehicles (SDV), software becomes the primary differentiator in vehicle functionality, safety, and user experience. At BMW, this vision is realized in the Neue Klasse concept featuring four "superbrains" and two actuators—all developed in-house. The software integration and development of high-performance ECUs took place entirely within BMW's engineering organization, and four of these ECUs depend on control systems developed largely with MATLAB® and Simulink®.
To enable this ambitious SDV strategy, BMW architected a cloud-native continuous integration framework capable of producing complete ECU builds several thousand times per day. This presentation reveals how BMW solved one of automotive software's most critical challenges by generating deterministic, scalable code from extensive Simulink model landscapes and integrating it with proprietary basic software and hand-written components.
This solution combines Bazel's hermetic build principles with AWS® infrastructure, enabling reproducible builds and intelligent caching at an unprecedented scale. Learn about the architectural decisions that made this possible, the metrics that illuminated performance bottlenecks, and BMW’s approach to gated testing with and without MATLAB and Simulink. Beyond the technical implementation, hear how operational insights drove continuous improvement in collaboration with MathWorks—demonstrating that achieving SDV leadership requires reimagining the entire software development lifecycle for automotive-grade complexity, as well as advanced tooling.
Since December 2025, Dr. Ralf Schulz has lead the software development and integration for BMW’s Heart of Joy—the central processing unit for driving dynamics within the spectacular Neue Klasse vehicles. Before that, he was responsible for the in-house software platform CASP used in the Heart of Joy, toolchain development for model-based development, high-level Simulink functions to coordinate the powertrain, and the continuous integration performance of BMW’s in-house ECUs. Prior to joining BMW in 2010, he specialized in image and signal processing research, particularly in the field of molecular imaging.
Ralf holds a degree in medical informatics and a Dr. rer. nat. in medical physics, both from Heidelberg University.
Keynote: Model-Based Design Meets GenAI: Delivering Speed and Quality
See how generative AI and Model-Based Design converge to deliver speed, quality, and safety in automotive engineering. Learn how Model-Based Design is evolving to combine AI-driven innovation with proven development practices.
Avinash Nehemiah leads a global team of over 60 product marketers and product managers at MathWorks, specializing in AI, Model-Based Design, wireless communication, computer vision, code generation, and more. His department is responsible for connecting customer and market needs with product roadmap and supporting strategic customers with product adoption. Avinash has over 15 years of experience as a product manager in computer vision, deep learning, and automated driving. Prior to joining MathWorks, he successfully led a team in developing an embedded computer vision-based solution to enhance patient safety in hospital rooms. Avinash earned a master’s degree in electrical and computer engineering from Carnegie Mellon University, where he focused his research on object recognition in radar imagery.
Keynote: Rise of the Responsible Robot: From Fantasy to Real-World Physical AI
AI is moving fast, but what matters most is where it takes responsibility for real-world outcomes. As intelligence moves out of data centers and into vehicles, factories, medical devices, and infrastructure, the challenge is no longer raw capability—it is trust. Physical AI must operate where data is created, making real-time decisions under strict constraints on latency, energy, safety, and security. Explore the rise of responsible physical AI and why the future of intelligence lives at the edge, where functional safety, cybersecurity, and efficiency are prerequisites—not options—when AI drives real-world outcomes.
Dr. Tobias Helbig is VP, Innovation at NXP. He is responsible for steering the company-wide long-term innovation program, public cooperative and funding programs, startup innovation engagements, standardization, and system innovation activities. Prior to that, Tobias managed the development of NXP’s car entertainment business and led a product line as general manager. He also led teams in Philips Research and steered research programs globally. Tobias holds master’s and Ph.D. degrees in computer science from the University of Stuttgart, Germany.
Bridging System and Software: A Unified Approach for SDV Distributed Architectures
As the automotive industry transitions toward software-defined vehicles (SDVs), OEMs and suppliers face a rapid increase in embedded software complexity. Vehicle functionality is now distributed across central compute platforms, zonal controllers, and smart edge devices, combining service-oriented and signal-based architectures. Managing this complexity requires more than process compliance—it demands strong domain expertise, sound architectural decisions, and an integrated development approach to meet both functional and nonfunctional requirements.
Discover how KPIT and MathWorks bring together complementary methodologies, engineering expertise, and system design and simulation tools to enable a structured, model-based development workflow. Through a concrete example, you will learn how to design, simulate, and implement a distributed SDV software feature—from system requirements and architecture definition to AUTOSAR® compliant code generation—across a zonal vehicle architecture. This approach helps teams detect issues earlier, reduce rework, and avoid costly late-phase integration problems that are common in distributed vehicle architectures.
Rahul Agarwal is an associate vice president in software development at KPIT Technologies, where he leads the Propulsion practice for KPIT in Europe, and oversees large-scale programs and technology-driven transformations in electric powertrain and software-defined vehicle platforms for global OEMs. With more than two decades of experience across technology leadership, business integration, and delivery management, he has worked in both engineering and business roles in the automotive domain.
Previously, he held roles including director delivery for ePowertrain at KPIT, business integration manager, various engineering leadership positions for OEMs, and director and co-founder of his own startup in embedded systems. Rahul holds a Bachelor of Engineering degree in electronics and telecommunications from the Pune Institute of Computer Technology.
Luigi Milia is automotive industry manager for the EMEA market at MathWorks, where he supports OEMs and suppliers in maximizing the value of Model-Based Design, automatic code generation, and virtual validation. He has more than 20 years of experience in the automotive industry, having previously worked at FCA (Fiat Chrysler Automobiles) in engineering and advanced development roles. Luigi holds a master’s degree in electronic engineering from Politecnico of Turin.
Software-Defined Design and Control of High Energy Density EV Cells
Customer expectations for EVs now include both long driving range and fast charging, pushing battery energy density to its practical limits. This session explores how software-first, physics-based cell design and charge-control workflows allow engineers at Breathe Battery Technologies to predict trade-offs, expose risk, and accelerate development. By linking electrode design decisions to fast-charging performance and ageing behavior, software enables higher performance without compromising safety or lifetime.
Attendees will gain a detailed understanding of sensitive analyses across key electrode design variables, including cathode loading, N/P ratio, and electrode thickness to quantify their impact on static metrics such as capacity and volumetric energy density. Particular focus is given to anode-potential evolution as a governing constraint for lithium plating risk in energy-dense cells.
Learn how physics-based, closed-loop charging strategies that estimate internal electrochemical states outperform traditional SOC–temperature lookup tables, delivering improved robustness to ageing, better utilization of safety margins, and more consistent fast-charging performance across operating conditions and battery life.
Dr. Yan Zhao is cofounder and CEO of Breathe Battery Technologies. In his role as CEO, Yan is responsible for corporate vision, strategic direction, company operations, and commercial project delivery.
Yan moved from China to the UK for secondary education, where he saw the urgent need to transition from engines to battery powered vehicles. He was motivated to cofound Breathe after observing pollution and emissions while waiting for London buses with his young daughter. His research focused on lithium-ion battery design, thermal management, and simulation. Yan holds a PhD in battery engineering from Imperial College London, has more than 10 published papers, and has created software for cell design that is now used internationally.
Visit the demo booths at MathWorks Automotive Conference Europe to see product demonstrations, speak with experts, and experience the latest features in MATLAB and Simulink.
Flughafenstrasse 50
70629
Stuttgart
Germany
Paid parking and electric charging stations are available in the underground parking garage. See detailed instructions for how to get to the hotel by car.
An environmental sticker is mandatory for all vehicles entering the city center of Stuttgart. You will not need this sticker to access the hotel as it is situated outside of the restricted areas. Learn more.
Secure your spot now to be part of MathWorks Automotive Conference 2026 Europe.
We’ve got answers.
Model-Based Systems Engineering and Software Transformation
Explore these demo booths for Model-Based Systems Engineering and Software Transformation
Demo Booths:
Virtualization and Vehicle Simulation
Explore these demo booths for Virtualization and Vehicle Simulation
Demo booths:
AI and Data Platforms
Explore these demo booths for AI and Data Platforms
Demo booths:
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Americas
Europe