UT Institute of Computer Science Graduation Theses Topics Registry

Organization

Distributed and Pervasive Systems Group

Abstract

This project explores the analysis of large-scale datasets collected in the wild from crowds of users/devices. Examples of this include, analysis of driving trajectories using a taxi dataset, extraction of app usage patterns from datasets of different countries, and detection of different transportation modes in users everyday activities (bicycle, train, bus, scooters). Interested candidates are expected to analyze big sensor data sets, and create models using machine and deep learning frameworks.

Graduation Theses defence year

2019-2020

Supervisor

Huber Flores

Spoken language (s)

English

Requirements for candidates

Level

Bachelor, Masters

Keywords

#sensor data, #big data, #pervasive data science, #crowdsensing, #crowdsourcing, #machine/deep learning

 

Name

Huber Flores

Phone

E-mail

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