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Administrative data

Daniel Gatica-Perez

daniel.gatica-perez@epfl.ch +41 21 693 19 51

EPFL STI IEM LIDIAP
ELD 241 (Bâtiment ELD)
Station 11
1015 Lausanne

EPFL CDH SODH-GE
INF 136 (Bâtiment INF)
Station 14
1015 Lausanne

EPFL CDH SODH-GE
INN 138 (Bâtiment INN)
Station 14
1015 Lausanne

Expertise

Social computing, social media, ubiquitous computing, crowdsourcing, machine learning.

Current work

My research integrates theories and methods from ubiquitous computing, social media, machine learning, and social sciences to understand human behavior in daily life and to create applications for social good. My current research interests include: * Mobile crowdsourcing and social media analytics for social good. * Crowdsourcing for cities. * Social video analytics, with focus on conversational behavior. * Ubiquitous computing in face-to-face interaction. * Analysis of ancient Maya hieroglyphic collections. My recent research has been supported by the Swiss National Science Foundation, the Swiss Commission for Technology and Innovation, the European Commission, and industry partners including Nokia, NTT, and Swiss startups.

Website

www.idiap.ch/~gatica
I am Professeur Titulaire at EPFL and direct the Social Computing Group at Idiap. I am a faculty member of the School of Engineering (STI) and the College of Humanities (CDH), where I am member of the Digital Humanities Institute (DHI).

Education

PhD

| Electrical Engineering

2001 – 2001 University of Washington

Awards

ACM ICMI Community Service Award

2017

Teaching & PhD

PhD Students

Ravinithesh Reddy Annapureddy, Stefano Sorrentino, Matilde Barbini, Isabelle Mohr, Aurel Ruben Mäder, Victor Bros, Pierre Anton Beckmann, Kimia Alavi

Past EPFL PhD Students

Dinesh Babu Jayagopi, Radu Andrei Negoescu, Katayoun Farrahi, Dairazalia Sanchez Cortes, Edgar Roman Rangel, Joan Isaac Biel Tres, Laurent Son Nguyen, Darshan Santani, Gülcan Can, Skanda Muralidhar, Thanh Trung Phan, Jessica Pidoux, Sandrine Tornay, Andreas Thomas Marfurt, Jan Frederik Jonas Florian Mai, Sina Sajadmanesh, Lakmal Buddika Meegahapola, Suhan Narayana Shetty, Mostaani Zohreh, Fabio James Fehr, Andrei Catalin Coman

Past EPFL PhD Students as codirector

Dong Zhang, Florent Monay Michaud, Kevin Smith, Dinesh Babu Jayagopi, Radu Andrei Negoescu, Katayoun Farrahi, Sree Hari Krishnan Parthasarathi, Dairazalia Sanchez Cortes, Seyed Mohammad Mahdi Johari

Courses

Computational Social Media

DH-500

The course integrates concepts from media studies, machine learning, multimedia, and network science to characterize social practices and analyze content in platforms like Twitter/X, Instagram, YouTube, and TikTok. Students will learn computational methods to understand phenomena in social media.