Proposal Archive


Proposal Archive

Ordered by semester and supervisor
Semesters
  1. Fall 2019

Semester: Fall 2019

Supervisors
  1. Björn Þór Jónsson
  2. Iman Elghandour
  3. Philippe Bonnet
  4. Pınar Tözün
  5. Sebastian Büttrich

Supervisor: Björn Þór Jónsson

PROPOSAL

The goal of this project is to integrate Exquisitor with other pieces of existing technology and turn into a competitor for a live video retrieval competition. The project is suitable for 3-4 …
Supervisor: Björn Þór Jónsson
Semester: Fall 2019

PROPOSAL

The goal of this project is ensure diversity in the relevance feedback results, to improve quality of the user experience. The project is suitable for 1-3 well-qualified MSc students. In many creative …
Supervisor: Björn Þór Jónsson
Semester: Fall 2019

PROPOSAL

The goal of this project is to use state of the art in eye tracking to design, implement and evaluate different eye-tracking interfaces for Exquisitor. The project is suitable for 1-3 well-qualified …
Supervisor: Björn Þór Jónsson
Semester: Fall 2019

PROPOSAL

The goal of this project is build a prototype of the Exquisitor system for mobile devices. The project is suitable for 1-3 well-qualified MSc students. Image and media collections are becoming a …
Supervisor: Björn Þór Jónsson
Semester: Fall 2019


Supervisor: Iman Elghandour

PROPOSAL

It is now common to query terabytes of spatial data. Several new frameworks extend distributed computing platforms such as Hadoop and Spark to enable them to efficiently process spatial queries by …
Supervisor: Iman Elghandour
Semester: Fall 2019

PROPOSAL

Spark assumes that it executes its applications on a homogeneous cluster of similar nodes. However, it is becoming common that in-house clusters have heterogeneous compute re- sources and it is good …
Supervisor: Iman Elghandour
Semester: Fall 2019

PROPOSAL

Distributed computing platforms such as Hadoop and Spark focus on addressing the fol- lowing challenges in large systems: (1) latency, (2) scalability, and (3) fault tolerance. Dedicating computing …
Supervisor: Iman Elghandour
Semester: Fall 2019

PROPOSAL

In the last few years, it became common to accelerate Hadoop and Spark by enabling them to execute tasks and jobs on accelerators such as GPUs and FPGAs. The objective of this master thesis is to …
Supervisor: Iman Elghandour
Semester: Fall 2019


Supervisor: Philippe Bonnet

PROPOSAL

The Things Network Stack v3 for LoRaWAN is an open source LoRaWAN network stack suitable for large, global and geo-distributed public and private networks as well as smaller networks. The architecture …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Offloading processing to storage is a means to avoid data movement and thus deal efficiently with very large volumes of stored data. In the 90s, there were pioneering efforts to develop …
Supervisor: Philippe Bonnet
Semester: Fall 2019

PROPOSAL

Characterize the performance of commercial database systems on an NVIDIA Titan GPU, or Characterize the performance of DB2 PureScale on a cluster equipped with shared storage with a range of different …
Supervisor: Philippe Bonnet
Semester: Fall 2019

PROPOSAL

In the context of the Orkney Cloud project, we are preparing the deployment of a decentralized cloud infrastructure on the archipelago. The infrastructure is composed of a collection of Pods (point of …
Supervisor: Philippe Bonnet
Semester: Fall 2019

PROPOSAL

New types of networks such as LoRaWAN and Sigfox enable us to deploy inexpensive mobile Air Quality Sensors, e.g. on bicycles or vehicles, boats or trains, and help map and understand urban pollution. …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Can we combine satellite data with terrestrial and marine sensor data, to study their correlation, and benefit our understanding of environmental processes, both in urban and agricultural/rural …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Not far from the IT University, citizens are buillding a “Small Smart City”, aiming to measure and analyze e.g. water and resource consumption. Help build the Small Smart City!
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Survey of potential sensor modalities (sounds, ultrasounds, vibrations) and related work (e.g., wind turbines) Starting with sound: Piezo contact mics/transducers, MEMS sensors Characterization of …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Novo Nordisk

PROPOSAL

New forms of Solid State Drives have interesting characteristics in terms of performance (10 to 100x faster than previous generations of SSDs) and in terms of functionalities (SSDs can now suspend the …
Supervisor: Philippe Bonnet
Semester: Fall 2019

PROPOSAL

Survey of potential sensor modalities (IR temp sensor, thermal imager) and related work Starting with consumer USB cams generate series of images or phone cams Characterization of state based on …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Novo Nordisk

PROPOSAL

Most data collection in IoT does not critically depend on latency or speed from data collection to data analytics. Occasionally though we meet tasks that would benefit from near-realtime features, …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

In collaboration with the IoT Lab at Computer Science Dept at Kathmandu University, Nepal, we are developing a potential service for tracking trekkers, i.e. offering a security service for tourists …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Wind turbine electricity production data is sensitive for Energinet (and for the wind turbine producers). Energinet would like to publish wind turbine electricity production data sets that can be used …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, data publication

PROPOSAL

Energinet has a model that describes the electricity production of a given wind turbine given wind conditions. The current model based on kNN is trained with DMI weather data and historical …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Data Analysis

PROPOSAL

The goal of the project is to explore the accuracy of electricity production predictions based on historical data and weather predictions. This may be tackled as a sequence prediction problem using …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Forecasting, Machine Learning, Deep Learning

PROPOSAL

The goal of the project is to explore new ways of gathering data about wind turbines as well as local wind/weather conditions. To this end, sound/vibration-based and/or image-based instrumentation as …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Instrumentation, Sensors

PROPOSAL

Field Programmable Gate Arrays are now an integral part of public cloud infrastructures. You can for example run customized FPGA instances on AWS. A project focuses on FPGA-based hardware acceleration …
Supervisor: Philippe Bonnet
Semester: Fall 2019
Tags: FPGA, SSD


Supervisor: Pınar Tözün

PROPOSAL

Spreading the computation of similar concurrent tasks that have a large instruction footprint over multiple cores via thread migration is shown to improve the instruction cache utilization drastically …
Supervisor: Pınar Tözün
Semester: Fall 2019

PROPOSAL

The computer architecture community is moving toward commoditization of hardware specialization instead of general purpose CPUs and more agile hardware development instead of years-long production …
Supervisor: Pınar Tözün
Semester: Fall 2019

PROPOSAL

Apache SystemML is an open-source platform to run machine learning tasks efficiently thanks to the hardware-conscious query compilation techniques it adopts. It can be run standalone or on top of …
Supervisor: Pınar Tözün
Semester: Fall 2019

PROPOSAL

The popularity of large-scale real-time analytics applications (real-time inventory/pricing, recommendations from mobile apps, fraud detection, risk analysis, IoT, etc.) keeps rising. These …
Supervisor: Pınar Tözün
Semester: Fall 2019

PROPOSAL

The Transaction Processing Performance Council (TPC) is a non-profit IT organization founded to define database benchmarks and disseminate objective, verifiable performance data to the industry. TPC …
Supervisor: Pınar Tözün
Semester: Fall 2019


Supervisor: Sebastian Büttrich

PROPOSAL

The Things Network Stack v3 for LoRaWAN is an open source LoRaWAN network stack suitable for large, global and geo-distributed public and private networks as well as smaller networks. The architecture …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

New types of networks such as LoRaWAN and Sigfox enable us to deploy inexpensive mobile Air Quality Sensors, e.g. on bicycles or vehicles, boats or trains, and help map and understand urban pollution. …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Can we combine satellite data with terrestrial and marine sensor data, to study their correlation, and benefit our understanding of environmental processes, both in urban and agricultural/rural …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Not far from the IT University, citizens are buillding a “Small Smart City”, aiming to measure and analyze e.g. water and resource consumption. Help build the Small Smart City!
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Survey of potential sensor modalities (sounds, ultrasounds, vibrations) and related work (e.g., wind turbines) Starting with sound: Piezo contact mics/transducers, MEMS sensors Characterization of …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Novo Nordisk

PROPOSAL

Survey of potential sensor modalities (IR temp sensor, thermal imager) and related work Starting with consumer USB cams generate series of images or phone cams Characterization of state based on …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Novo Nordisk

PROPOSAL

Most data collection in IoT does not critically depend on latency or speed from data collection to data analytics. Occasionally though we meet tasks that would benefit from near-realtime features, …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

In collaboration with the IoT Lab at Computer Science Dept at Kathmandu University, Nepal, we are developing a potential service for tracking trekkers, i.e. offering a security service for tourists …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019

PROPOSAL

Wind turbine electricity production data is sensitive for Energinet (and for the wind turbine producers). Energinet would like to publish wind turbine electricity production data sets that can be used …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, data publication

PROPOSAL

Energinet has a model that describes the electricity production of a given wind turbine given wind conditions. The current model based on kNN is trained with DMI weather data and historical …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Data Analysis

PROPOSAL

The goal of the project is to explore the accuracy of electricity production predictions based on historical data and weather predictions. This may be tackled as a sequence prediction problem using …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Forecasting, Machine Learning, Deep Learning

PROPOSAL

The goal of the project is to explore new ways of gathering data about wind turbines as well as local wind/weather conditions. To this end, sound/vibration-based and/or image-based instrumentation as …
Supervisors: Philippe Bonnet, Sebastian Büttrich
Semester: Fall 2019
Tags: Wind Energy, Energinet, Instrumentation, Sensors