Invited Lecture "MemorySense. Let your smartphone figure out the memorable moments of your life" by Matteo Vasirani (EPFL)

Agreement Technology Logo

Actividad válida para reconocimiento de créditos.

Se reconocerán 0.2 créditos a los alumnos que asistirán a la conferencia y que redactarán un resumen de la misma (máximo 2 páginas). Para la entrega de los resúmenes, la obtención del certificado de asistencia o cualquier otra información, contactar con Conferencia dentro del marco del Proyecto "Tecnologías del Acuerdo" (Consolider CSD2007-00022).


Date: April 10th, 2014

Location: URJC, Campus de Móstoles,  Departamental I, Salón de Grados

11:00 - 13:00: Invited Lecture on

"MemorySense. Let your smartphone figure out the memorable moments of your life"

by Matteo Vasirani


Modern smartphones are powerful sensing and computing platforms that are part of the everyday life of most people. The richness of user-centric information gathered by these devices can be used to perform unobtrusive activity recognition and to keep track of memorable events, making the smartphone a prosthesis of the prone-to-forget human memory. In MemorySense, we combine virtual and physical sensors from mobile devices to infer digital memories of user activities in a semi-supervised fashion. Sensor data is processed by space and energy efficient algorithms to recognize basic activities. Activity timelines are then segmented, aggregated and ranked into the digital equivalent of a human episodic memory.

Speaker: Matteo Vasirani

Dr. Matteo Vasirani is a Research Associate in the Distributed Information Systems Laboratory (LSIR) at EPFL, Switzerland. Previously, he worked as Assistant Professor at the University Rey Juan Carlos (URJC). He obtained his MSc in Computer Engineering from the University of Modena in 2004, and the PhD in Computer Science from the University Rey Juan Carlos in 2009. He authored several publications in journals, books and international conferences. His research interests include intelligent data analysis, energy data analytics, machine learning, optimisation, and activity recognition. Currently, he is EPFL principal investigator for the MemorySense project, a joint effort between EPFL and Samsung Research America, focusing on understanding user activities and memories on the basis of heterogeneous data sources obtained from mobile phones.