The Embedded Systems Engineering Section (ESE) 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.
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.
Xenofon Fafoutis Associate Professor
Luca Pezzarossa Assistant Professor (Tenure track)
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.
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.
Xenofon Fafoutis Associate Professor
Paul Pop Professor
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.
Martin Schoeberl Professor
Luca Pezzarossa Assistant Professor (Tenure track)
Matthias Bo Stuart Associate Professor
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.
Paul Pop Professor
Nicola Dragoni Deputy director, head of section, Professor
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.
Sven Karlsson Associate Professor
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.
Luca Pezzarossa Assistant Professor (Tenure track)
Oliver Keszöcze Associate Professor
Paul Pop Professor
