David Atienza promoted to Full Professor


It is with great pleasure that we announce that David Atienza has been named Full Professor at EPFL. Having studied computer science and engineering at the Universidad Complutense de Madrid (UCM), David received an EU Marie Curie Scholarship to pursue a Ph.D. degree jointly with IMEC in Belgium and UCM, in integrated circuit design and (…)

ESL collaborates with IMD to teach course on IoT technologies


The Embedded Systems Lab is collaborating with IMD (The Institute for Management Development) of Lausanne to create an online course about technology and the Internet of Things. This MOOC (Massive open online course) will be taught by David Atienza, Prof. Amir Aminifar of Lund University, formerly a Senior Lecturer at ESL, and Prof. Bettina Buechel (…)

A flexible in-memory computing architecture for heterogeneously quantized CNNs

internetofthings, presentationvideo, research, wearable

Best student paper award for Lara Orlandic

achievements, biomedical, health, research

Lara Orlandic received a   Best student paper award   at the 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. The paper is a study of how a person’s perception of the passage of time can be monitored and assessed, as a continuous evaluation of their mental health. Co-authors on the paper were Prof. (…)

Droople: cutting edge solutions for water-energy conservation

internetofthings, research

In June 2021, Droople entered a partnership with the Embedded Systems Laboratory (ESL) at the School of Engineering and the ALTIS Group (Valais) to implement the joint Research and Development project WaSTeLeSS. The project is planned to run until 2023 and achieve significant water savings in buildings through an advanced monitoring system based on distributed intelligence.  (…)

Meet Prof. David Atienza


Full Presentation: Self-aware anomaly detection for epilepsy monitoring

biomedical, health, internetofthings, presentationvideo, research, wearable

Farnaz Forooghifar presents our research on self-aware anomaly detection for epilepsy monitoring on low-power, wearable electrocardiographic devices.

Thermosyphon – a true Innovation

achievements, internetofthings, research, thermalaware, thermalsoc

Innovations developed by our lab have been analysed by the European Commission’s Innovation Radar (see mission statement). One of the researchers involved, Arman Iranfar, explains this ground-breaking technology. Nowadays, data centers with large rooms are filled with a huge number of servers and other IT equipment that account for around 2% of the global energy (…)


presentationvideo, research, thermalaware, thermalsoc

Running efficiently CNNs on the Edge thanks to Hybrid SRAM-RRAM in-Memory Computing

memory, presentationvideo, research