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Stefano Marzani

Enabling the Software-Defined Revolution

Stefano Marzani is a professional focused on tackling challenges within the automotive sector, particularly in the transition to software-defined vehicles, autonomous features, mobility solutions, and enhancing user experiences.

His areas of technical expertise include IoT, Machine Learning, Vehicle Architecture, Human-Machine Interface (HMI), and Automotive Software Development & Tooling.

Stefano holds a diverse educational background with studies in PHD Innovation Engineering, Technology Ethics, Open innovation, and corporate entrepreneurship.

His educational journey includes degrees from Università degli Studi di Modena e Reggio Emilia, Stanford Continuing Studies, and Esade, among others.

He also pursued studies in Computer Science at both the high school and university levels at reputable institutions in Italy.

Throughout his career, Stefano Marzani has held various influential positions in renowned organizations such as Amazon Web Services (AWS), Samsung Electronics, and CYNGN.

He has been part of organizations like SOAFEE, Pigro, DQuid, RE srl, PlayWood.it, and Iren S.p.A., where he contributed as a tech leader, advisor, board member, and director.

In addition to his corporate engagements, Stefano also shared his knowledge as an adjunct professor at the University of Modena and Reggio Emilia, and as a researcher at the same university.

Stefano Marzani's extensive professional experience and educational background highlight his commitment to innovation and leadership within the automotive and technology sectors.

Highlights

Sep 13 · linkedin

If you are a #softwaredefinedvehicles (SDV) geek 🤓 like me, have a look at this blog post (in two parts). I think it's one of the most advanced examples of SDV on the market: https://lnkd.in/d4dtQYDi , https://lnkd.in/dAFEq6td . It's the result of a collaboration between Amazon Web Services (AWS), dSPACE, and Elektrobit. The innovative element is that for the first time ECUs and HPCs are virtualized as cloud-native artifacts through different techniques (a Classic Autosar ECU is emulated through dSpace VEOS, while infotainment based on Android is executed natively on AWS Graviton Arm-based processors). Then, these artifacts are integrated with automotive networking (based on SOME/IP and Autosar from Elektrobit) and exercised / tested as a system.

A video with the demo is here -> https://lnkd.in/dv5fi8Ta.

Well done Fabian Bronner, Jérémy Dahan, Jerry Bonnah, Luke Harvey, and Moritz Schniedermann (& Igino Padovani) !

FYI, Andrea Ketzer, Wendy Curcuri Bauer, Francesco Salamida, Mahendra Muli, Bhaskar Dani, Keith Mulder, Paolo Hilario, Dr. Patrick Bartsch, Marc Solsona Palomar, Richard Elberger

Apr 25 · linkedin

If you are at the MathWorks Automotive Conference come and check out the software-defined vehicle demo we put together with MathWorks, Elektrobit, Synopsys Inc - all these tools integrate and use Amazon Web Services (AWS) cloud to scale testing of virtual ECUs - including the networking components based on SOME/IP - in a mix of emulation and native execution of code.

#raisingthebar once again!

#automotive #cloud #modelbaseddesign

Stefano Marzani
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Location

Mountain View, California, United States