Home > Speakers >

Jacob Beningo

Jacob Beningo is an embedded software consultant, founder of Beningo Embedded Group, creator of the Embedded Software Academy, and co-founder of the Embedded Online Conference. He helps developers and teams maintain and modernize their embedded software skills and processes so they can deliver better firmware faster. His expertise spans automotive, defense, medical, and space industries. He’s even developed software systems that have propelled systems to the Moon and beyond.

He has authored three books, including Embedded Software Design, sharing insights that guide engineers toward industry best practices and streamlined development approaches. Jacob also hosts the Embedded Frontier podcast, delving into cutting-edge trends and techniques that empower teams to continuously improve.

Additionally, Jacob lectures, consults, and contributes articles (including for embeddedrelated.com, Design News, and embedded.com) on modern, real-time embedded software development.

He holds two bachelor’s degrees from Central Michigan University in Electronics Engineering, and Physics and Mathematics. He also has a Master’s in Space Systems Engineering from the University of Michigan.

Running DSP Algorithms on Arm® Cortex®-M Processors

Status: Available Now

The modern embedded system has many applications for digital signal processing (DSP), especially with the demand for intelligence on the end device and machine learning.  DSP is an important tool for real-time embedded system engineers, critical for projects that require converting analog filter circuits into digital IIR or FIR filters, using Fast Fourier Transform (FFT) to observe a signal’s frequency component and even speech processing. 

In this session, we will examine how attendees can speed development time with DSP software available through the Arm ecosystem, making DSP achievable in their own applications running on Arm Cortex-M based devices.

This session will include:

  • How to use the free CMSIS-DSP library
  • Examples for implementing FIR and IIR filters
  • Using FFT to observe a signal’s frequency component
  • Modern examples on how DSP is being applied to embedded systems 
  • Tool and techniques available to developers to speed up DSP implementations

Go to Session

Training and Deploying ML models to STM32 Microcontrollers

Status: Available Now

Machine learning (ML) has often been considered a technology that operates on high-end servers and doesn’t have a place in traditional embedded systems. That perception is quickly changing. This workshop will explore how embedded software engineers can get started with machine learning for microcontroller based systems.

This session balances theory with practical hands-on experience using an STM32 development board.

Attendees will learn:

  • How to collect and classify data
  • Methods available to embedded developers to train a model
  • Hands-on experience training a model
  • How to convert a model to run on an STM32 MCU
  • How to run an inference on a microcontroller

Additional details for development board and tools will be provided closer to the conference.

Go to Session

Live Q&A with Jacob Beningo - Running DSP Algorithms on Arm® Cortex®-M Processors

Status: Available Now

Live Q&A with Jacob Beningo for his talk titled "Running DSP Algorithms on Arm® Cortex®-M Processors"

Go to Session