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Master and Ph.D. Theses

Ph.D. Theses offers

1. PhD position in the area of database privacy

  • RESEARCH TOPIC. Being traded as a commodity, personal information such as our habits, interests, date of birth, number of children or home address, and even our daily movements, are given up these days quite often without being aware they are being collected, stored and finally sold to a wide range of companies. With the advent of modern data-analytics technologies, the availability of massive amounts of such pieces of information –the so-called big data era– is recently creating invaluable analytical opportunities. While the volume, velocity and variety of the data being extracted offer possibilities of unquestionable benefits, they pose at the very same time evident privacy and security risks.

  • DESCRIPTION OF POSITION. The PhD position has a duration of 3 years and is made available through the research project “Big Data Anonymization” funded by “la Caixa”, a top Spanish financial institution. The main objectives of this project are to pioneer advance beyond state of the art on the design of anonymization algorithms and to develop a comprehensive understanding of privacy in a context of big data. The ultimate aim is to contribute to making big data compatible with the right to privacy. For the scholarship, we are looking for a candidate who is qualified to undertake supervised independent research in the area of database anonymization, in particular in the protection of dynamic data under popular syntactic models (e.g., l-diversity, t-closeness) and differential privacy.
  • QUALIFICATIONS. We seek a highly motivated PhD student who has completed or is about to complete by summer 2020 a Master's degree in mathematics,        computer science, or telecom engineering; with excellent academic record; good analytical skills; strong oral and written communication skills.

  • APPLICATION. Candidates should send to Prof. Jordi Forné (jordi.forne@upc.edu) the following information: their CV (including list of publications, if any); their academic record (with marks); a certificate of English (TOEFL, Cambridge or similar).
  • More information here

Ongoing Ph.D. Theses

  • Pablo Barbecho Bautista. Supervisors: Dr. Mónica Aguilar Igartua (UPC) and Dr. Luis Felipe Urquiza-Aguiar (Ecuador). Electric vehicle (EV) and smart grid (SG). Design of the best locations for charge stations (CS) and roadside units (RSU). Design of a model to optimize the SG operation and prevision including the presence of EVs in the vehicular adhoc network (VANET).

Recent Ph.D. Theses defended

  • Juan Pablo Astudillo León. Supervisor: Dr. Luis J. de la Cruz Llopis (UPC). Wireless Mesh Networks: Traffic routing and engineering, traffic differentiation, quality of service, congestion control, static and dynamic environments (smart grid networks, cell phone networks, wearables).
  • José Antonio Estrada. Privacy in Online Advertising Platforms. Identification of privacy risks and design and evaluation of privacy mechanisms.
  • Leticia Lemus. Supervisors: Dr. Mónica Aguilar Igartua (UPC) and Dr. Ahmad Mohamad Mezher (Canada). Design of a multimetric routing protocol for VANETs based on greedy perimeter stateless routing (GPSR). The weights of the metrics will be dynamically updated depending on the current scenario, according to a designed algorithm based on machine learning. Interaction of autonomous vehicles (AVs) and VANETs using machine learning techniques.
  • Ana Fernanda Rodríguez. Contributions to Privacy-Enhancing Technologies for Machine Learning Applications. Design and evaluation of anonymization algorithms with special focus on improving the usability of the anonymized data.

Master Theses offers

  • Development of algorithms to identify transportation modes for MobilitApp, an Android application for citizens

MobilitApp project (http://mobilitat.upc.edu):  We offer Master/Degree thesis. The student will join the MobilitApp project that we develop in collaboration with the ATM (Autoritat del Transport Metropolità) of Barcelona. MobilitApp is able to detect the type of transportation and take statistics. Current on-going tasks: improve our machine learning algorithm to online  find out the transportation mode being used, send an emergency message upon the occurrence of an accident, suggest alternative types of transportation, among other features. Sensor data from the smart phones is gathered and periodically sent to our Raspberry Pi server, where it is analysed. The goal is to save battery avoiding the use of GPS to find out the type of transportation being used.

Some past MobilitApp theses:
https://prezi.com/vb5l_v7nlkzp/mobilitapp-2015/
https://www.youtube.com/watch?v=asVWO0HnvOM
http://arxiv.org/abs/1605.05342
Contact: Mónica Aguilar Igartua, monica.aguilararrobaupc.edu

 

  • Development of a charging service for electrical vehicles using vehicular communications

Using a platform for vehicular communications already implemented in the OMNET++/VEINS/SUMO simulator, the student will participate on the design of a platform to manage the charging service of electrical vehicles in the city. The goal is that the smart grid can plan the energy consumption properly. We will use vehicular networks to transmit the involved messages. The student will join a team of PhD students who are doing their doctoral thesis in this field.

                                                                                     Contact: Mónica Aguilar Igartua, monica.aguilararrobaupc.edu