Phan Thanh Trung

Academic Team

 Fields of Interest: ubicomp, human behavior, social computing, crowdsourcing, machine learning, computational social media

CV: Ph.D. 2020, EPFL, Switzerland 

Bio:

PHAN Thanh-Trung graduated with a B.Sc. degree in Information Technology from the University of Science, Vietnam National University, Ho Chi Minh City (VNU-HCMC) in 2010. He obtained his Master of Engineering in Multimedia and Communication from Telecom ParisTech, France in 2013. From February 2013 to August 2013, he did his master thesis intern at Aalto University in Espoo, Finland. He has gotten a doctoral degree at EPFL in June 2020. From 2020 to 2021, he was a postdoc at Idiap Research Institute and EPFL.

He has a research background in social network mining, natural language processing, geographic information system, and location-based services. His recent research topic is in the fields of digital cities of interactions between people, locations, and activities. He has authored 12 articles as the first and co-author of prestigious Human-Computer Interaction conferences and journals (IMWUT, CSCW, PervasiveHealth, MUM, etc.). He is interested in using the computational power and modern techniques from computer science to explore traditional topics from social sciences.

Courses: 

Computer Science 1
Computational Social Media

Select Publications:

2021

M. del Rio Carral, L. Volpato, C. Michoud, T.-T. Phan, and D. Gatica-Perez
Professional YouTubers’ Health Videos As Research Material: Formulating a Multi-Method Design in Health Psychology
Methods in Psychology, Special Issue on Innovations in Qualitative Research, Vol. 5, Dec. 2021
Meegahapola, F. Labhart, T.T. Phan, and D. Gatica-Perez
Examining the Social Context of Alcohol Drinking in Young Adults with Smartphone Sensing
PACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 5, Issue 3, Sep. 2021
Granero-Moya, T.-T. Phan, and D. Gatica-Perez
Zurich Like New: Analyzing Open Urban Multimodal Data
in Proc. ACM Int. Workshop on Multimedia Computing for Urban Data (Urban MM), Chengdu, Oct. 2021
Ribes, L. J. Defayes, A. Sonderegger, T.-T. Phan, D. Gatica-Perez, and N. Henchoz
Trust Indicators and Explainable Artificial Intelligence: A Study on User Perceptions
in Proc. Int. Conf. on Human-Computer Interaction (INTERACT), Bari, Aug. 2021

2020

Labhart, T. T. Phan, D. Gatica-Perez, and E. Kunstche
Shooting Shots: Estimating Alcoholic Drink Sizes in Real Life Using Event-Level Reports and Annotations of Close-Up Pictures
Drug and Alcohol Review, published online Oct. 2020

 A. Pozo, T. T. Phan, and D. Gatica-Perez
Learning Urban Nightlife Routines from Mobile Data
in Proc. Int. Conf. on Mobile and Ubiquitous Multimedia (MUM), Essen, Nov. 2020
T. Phan, F. Labhart, S. Muralidhar, and D. Gatica-Perez
Understanding Heavy Drinking at Night through Smartphone Sensing and Active Human Engagement
in Proc. Int. Conf. on Pervasive Computing Technologies for Healthcare (Pervasive Health), Atlanta, Oct. 2020

2019

T. Phan, F. Labhart, and D. Gatica-Perez
My Own Private Nightlife: Understanding Youth Personal Spaces from Crowdsourced Video
PACM on Human-Computer Interaction (PACMHCI), Vol. 3, Issue CSCW, Article 189, Nov. 2019
T. Phan, S. Muralidhar, and D. Gatica-Perez
Drinks and Crowds: Characterizing Alcohol Consumption through Crowdsensing and Social Media
PACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), Vol. 3, No. 2, Article 59, Jun. 2019
Gatica-Perez, D. Santani, J.-I. Biel, and T. T. Phan
Social Multimedia, Diversity, and Global South Cities: A Double Blind Side
in Proc. ACM Workshop on Fairness, Accountab
T. Phan, S. Muralidhar, and D. Gatica-Perez
#Drink Or #Drunk: Multimodal Signals and Drinking Practices on Instagram
in Proc. Int. Conf. on Pervasive Computing Technologies for Healthcare (Pervasive Health), Trento, May 2019