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leynas Leyna Sadamori

ETH Zürich
Department of Computer Science
Institute for Pervasive Computing
Universitätstrasse 6
CH-8092 Zürich, Switzerland

phone: +41 44 63 29867
fax: +41 44 63 21659


My research is in the field of Power Line Communication (PLC) with focus on safety-critical applications. A prominent example for such safety-critical applications is the Smart Grid, but also automotive or avionics systems are environments with safety-critical requirements. Since the power line channel is a challenging environment from the communications' perspective, providing a minimum quality of service for safety-critical applications is a challenging task.
I am particularly interested in the benefits of multi-conductor environments, which is usually the case for the environments in my focus. One way to exploit these multi-conductor environments are MIMO techniques, known from the Wireless domain.

Curriculum Vitae

Leyna Sadamori studied electrical engineering at TU Darmstadt (Germany), with focus on communications and signal processing. He received his Bachelor of Science (B.Sc.) degree in September 2010, and graduated with his Bachelor thesis Graph Cut Based Segmentation in Synthetic Aperture Sonar Images. In November 2012, he received his Master of Science (M.Sc.) degree and graduated with his Master thesis Automatic Classification of Private Households Using Electricity Consumption Data.

Between October 2010 and January 2011, he did an internship at Continental Engineering Services GmbH, where he worked in the Driver Assistance Systems division.

In 2013 he joined the Distributed Systems group at ETH Zurich as a PhD candidate.


April 2016
Invited talk at Hochschule RheinMain. Power Line Communication: Die “wired wireless” Technologie (in German)
May 2013
Invited talk at Low-Voltage Network Workshop hosted by University of Reading to present the paper on household classification.

Student Theses

Available Theses



Fall Semester

Spring Semester

ETH ZurichDistributed Systems Group
Last updated August 14 2017 03:28:00 PM MET