Section for Embedded Systems Engineering

The Embedded Systems Engineering section is dedicated to shaping a resilient and adaptive digital future. Our core mission is to use our expertise in pioneering research and innovation across the vast spectrum of computing infrastructure to fuel societal progress and address its challenges.

Embedded Systems Engineering
Embedded Systems Engineering section October 2023

This section conducts research across a broad spectrum of computing infrastructure, from mobile phones to cloud computing.

Our goal is to address societal challenges and drive progress, developing technologies that enhance everyday life and promote social advancement.

Head of Section

Paul Pop

Paul Pop Phone: +45 45253732

Research areas

AI in Constrained Embedded Devices

AI implementation in devices with limited resources is a challenging yet critical endeavor. It allows for smart capabilities in smaller, power-efficient gadgets, enhancing areas like wearable technology and smart sensors. These advancements lead to more intelligent, responsive, and efficient systems beneficial in everyday life and critical applications like healthcare monitoring.

Lead researchers

Xenofon Fafoutis Professor

Luca Pezzarossa Associate Professor

Dependable Edge Computing

As the world becomes more connected, the need for reliable and efficient processing at the “edge” of networks grows. Dependable Edge Computing involves creating systems that can process data near its source – for example, in autonomous vehicles or smart factories – ensuring swift and secure decision-making. This technology is crucial for industries where real-time data analysis can prevent accidents or optimize operations.

Lead researchers

Paul Pop Professor

Xenofon Fafoutis Professor

Martin Schoeberl Professor

Embedded Wireless Networking

Wireless networking within embedded systems offers a plethora of opportunities, especially in the Internet of Things (IoT). This technology enables seamless connectivity and communication between various devices, essential in modern smart homes, agricultural technologies, and healthcare devices.

Lead researchers

Xenofon Fafoutis Professor

Paul Pop Professor

Time-Predictable Computer Architectures and Networks

In a world where timing is crucial, time-predictable architectures ensure that computing operations happen within a guaranteed timeframe. This predictability is vital in areas like aerospace and automotive systems, where a delay of even milliseconds can have significant consequences.

Lead researchers

Martin Schoeberl Professor

Luca Pezzarossa Associate Professor

Matthias Bo Stuart Associate Professor

Cybersecurity for IoT and Edge

With the rise of IoT and Edge computing, ensuring the security of these interconnected systems is paramount. Our research focuses on safeguarding these networks from cyber threats, which is essential for protecting sensitive data in applications ranging from personal devices to large-scale industrial systems.

Lead researchers

Paul Pop Professor

Nicola Dragoni Deputy director, head of section, Professor

Programming Models, Tooling, and System Software for HPC

High-Performance Computing (HPC) is critical for complex computational tasks. Our work in developing effective programming models and tools enhances the capability of these systems, making them more accessible and efficient. Applications range from scientific research to advanced analytics in business and government sectors.

Lead researcher

Sven Karlsson Associate Professor

Microfluidic Platforms, EDA for Biochips

Microfluidic platforms and electronic design automation (EDA) for biochips represent a significant leap in biomedical technology. These innovations allow for more precise and efficient analysis in laboratories, aiding in faster disease diagnosis and personalized medicine approaches.

Lead researchers

Luca Pezzarossa Associate Professor

Oliver Keszöcze Associate Professor

Paul Pop Professor

Discover our research

Want to know more about our research? Visit our page in DTU's research database.

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