Thesis topic proposal
Márk Jelasity
Decentralized data mining: scalability, adaptivity, privacy protection


Institute: University of Szeged
computer sciences
PhD School in Computer Science

Thesis supervisor: Márk Jelasity
Location of studies (in Hungarian): SZTE
Abbreviation of location of studies: SZTE

Description of the research topic:

Decentralized systems such as collaborative networks of mobile phones or in general Internet of Things (IoT) systems typically host data centric applications. Processing the collected data in place (as opposed to a data center) has many advantages. First of all, the different sources of data can freely be combined solving the isolated data silo problem. Also, in-place processing offers a reasonable approach to enable users to stay in full control of their data. The task is to design and implement algorithms and middleware abstractions that are scalable, robust, and work in realistic environments.

Required language skills: english
Number of students who can be accepted: 4

Deadline for application: 2017-08-31

2017. III. 21.
ODT ülés
Az ODT következő ülésére 2017. május 5-én 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).

All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 1.2343 ( 2017. II. 28. )