Andrea Ridolfi

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Short Bio
I am a professor of Signal Processing and Communication Technologies at Bern University of Applied Sciences. Since 2004 I hold a lecturer position at EPFL, teaching “Mathematical Principles of Signal Processing” (Doctoral School, 2004 – 2011), “Statistical Signal and Data Processing through Applications” (Master Program, (2004 – ongoing), and Signal Processing and Machine Learning for Digital Humanities (Master, 2017 – 2019, co-taught with Mathieu Salzmann). Previously, I have been working as Project Manager and R&D Engineer at EPFL (2011-2014), coordinating the LCAV activities within the NSF – Nanotera project Opensense, and as Project Manager and R&D Engineer with the biomedical signal processing group at CSEM (2006-2011).

EPFL IC SSC-GE
INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne

Office:  INR 130
EPFL > IC > IC-SSC > SSC-ENS

Web site:  Web site:  https://ssc.epfl.ch

EPFL IC SIN-GE
INN 112 (Bâtiment INN)
Station 14
CH-1015 Lausanne

Office:  INN 112
EPFL > IC > IC-SIN > SIN-ENS

Web site:  Web site:  https://sin.epfl.ch

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Administrative data

Fields of expertise

Signal Processing, Stochastic Processes, Point Processes, Sensor Networks

Teaching & PhD

Teaching

Communication Systems

Computer Science

Courses

Statistical signal and data processing through applications

1. Fundamentals of Statistical Signal and Data Processing: Signals and systems from the deterministic and the stochastic point of view; Processing and analysing signals and systems with a mathematical computing language. 2. Models, Methods, and Algorithms: Parametric and non-parametric signal models (wide sense stationary, Gaussian, Markovian, auto-