Open BSc/MSc Theses

Familial Aggregation Analysis of Continuous Traits [MSc]
Familial aggregation studies investigate whether a disease of interest is observed in families more than would be expected by chance alone. These studies represent a first key step in the investigation of genetic risk of disease. The proposed project aims to extend the FamAgg R package for familial aggregation analysis that has been developed at the Eurac Research Institute for Biomedicine. The main goal of the project is to improve the analysis of continuous traits. (More info: Abstract; References FamAgg)
Contact persons: Johann Gamper, Christian Weichenberger: contact, and Francisco Domingues: contact
Visual analysis of health and disease in the CHRIS study [MSc]
Why do we get sick? The Cooperative Health Research In South Tyrol (CHRIS) study is a population-based resource established in 2011 that tries to answer this question. This project will focus on the development of a tool that will enable researchers to explore CHRIS data and investigate the role of genetics, lifestyle and environment on human health. (More info: Abstract; CHRIS study)
Contact persons: Johann Gamper and Dr. Christian Fuchsberger (project coordinator at Eurac Research): contact
Period index: a hash-index for range and duration queries [BSc/MSc]
The period index offers efficient access to interval-timestamped data that is constrained by the position of the timestamp on the timeline and/or the duration of the timestamp (e.g., all patients in the first half of 2019 who were in treatment for less than one month). The aim of this project is to first implement this index structure and then to parallelize the index-based data retrieval. (More on the period index: Paper)
Contact persons: Johann Gamper or Anton Dignös
Efficient approximate temporal aggregation [MSc]
Aggregation is an important but time-consuming operation in temporal databases. Rather than computing an exact solution, this project aims at developing an algorithm to compute an approximate solution for temporal aggregation, which can be efficiently implemented in relational databases and scales for large amounts of data.
Contact persons: Johann Gamper or Anton Dignös
Implementation of temporal operators with UDFs [MSc]
While the storage of temporal data is supported by most database management systems, the support for querying such data is still very limited. This project aims at implementing temporal query support by means of so-called user-defined functions.
Contact persons: Johann Gamper or Anton Dignös
Supporting the processing of time series data in relational databases
Time series (TS) data is an important category of data in many application areas, e.g., sensor applications, IoT. To process such data, ad hoc time series data management systems have been developed. This project aims at developing a solution to process TS data in relational database systems.
Contact persons: Johann Gamper or Anton Dignös
An Interactive Framework for Video Surveillance Event Detection and Modeling
We aim at building a framework for high-level event detection in video streams based on a novel temporal extension of relational algebra. With the help of intuitive and interactive graphical user interfaces, a user can have a look at the different layers of our system to gain insights into the inner workings of the system, as well as create new events on the fly and track their processing through the system. (More info: Paper; Video)
Contact persons: Fabio Persia
HAMSIK — High-level AutoMatic event detection in a SocIal networK context
We aim at developing a framework for the detection of high-level events in a social network context, allowing us to identify abnormal or malicious behavior such as spamming. Additionally, we can classify users by analyzing their typical behavior while logged into a social network site. The processing of (real-time) events in our framework is done via an event detection language called ISEQL, which we adapt and extend to fit the requirements of a social network setting. (More info: Paper)
Contact persons: Fabio Persia
SARRI: a SmArt Rapiro Robot Integrating a framework for automatic high-level surveillance event detection
The aim of this project is to integrate a previously developed framework for high-level surveillance event detection with a smart robot to enhance the monitoring process. More specifically, the robot is able to improve the quality of a video stream, which in our earlier work was recorded from a static camera position, by providing a mobile camera, enabling us to get footage from different angles. Furthermore, a robot platform is able to go beyond just contacting security or the police by taking immediate action when a potentially dangerous event is detected: for instance, picking up an unattended package. (More info: Paper)
Contact persons: Fabio Persia
Social Sensing for Improving the User Experience in Orienteering
we aim at enhancing a tourist trip planning framework based on orienteering with category constraints by adding social sensing. This allows us to customize a user's experience without putting the burden of preference elicitation on the user. We identify the interests of a user by analyzing their Tweets and then match these interests to descriptions of points of interests. For this analysis we adapt different schemes for social sensing to the needs of our orienteering context and compare them to find the most suitable approach.
Contact persons: Fabio Persia
News
10.02.2020
Paper accepted in The VLDB Journal

Our paper "Finding k-Shortest Paths with Limited Overlap" has been accepted for publication in The VLDB Journal.


09.07.2019
PhD defense of David B. Blumenthal

David B. Blumenthal successfully defended his PhD thesis entitled "New Techniques for Graph Edit Distance Computation".


08.06.2019
Paper accepted at SSTD 2019

Our research paper "Period Index: A Learned 2D Hash Index for Range and Duration Queries" has been accepted for publication at SSTD 2019 in Vienna, Austria.


06.06.2019
Demo accepted at SSTD 2019

Our demo paper "HOTPERIODS: Visual Correlation Analysis of Interval Data" has been accepted for publication at SSTD 2019 in Vienna, Austria.


26.05.2019
Paper accepted in The VLDB Journal

Our paper "Comparing heuristics for graph edit distance computation" has been accepted for publication in The VLDB Journal.


18.03.2019
Fabio Persia appointed PC Co-Chair of IEEE HCC 2019

Fabio Persia has been appointed Program Co-Chair of IEEE HCC 2019 at Laguna Hills, California, USA.


18.03.2019
Fabio Persia appointed PC Co-Chair of IEEE ISM 2019

Fabio Persia has been appointed Program Co-Chair of IEEE ISM 2019 in San Diego, California, USA.


27.02.2019
Paper accepted at GbRPR 2019

Our paper "GEDLIB: A C++ Library for Graph Edit Distance Computation" has been accepted for publication at GbRPR 2019 in Tours, France. Check out the code here.


16.01.2019
Paper accepted at VLDB 2019

Our paper "Snapshot semantics for temporal mutliset relations" has been accepted for publication at VLDB 2019 in Los Angeles, USA.


01.10.2018
Johann Gamper nominated Vice-Rector of unibz

We congratulate Johann Gamper for being appointed vice-rector for research and innovation at unibz. [more]


01.08.2018
SSDBM 2018 in Bozen-Bolzano

We successfully concluded the SSDBM in Bozen-Bolzano. Pictures of the conference and mountain tour are available here.



Free University of Bozen-Bolzano
Faculty of Computer Science
Dominikanerplatz - piazza Domenicani, 3
39100, Bozen-Bolzano
Design by Riccardo Di Curti as an intern of our group.
Copyright © 2020 - Database Systems Group - Faculty of Computer Science - Free University of Bozen-Bolzano