Project Proposals

Here you can see a list of all currently proposed projects. For a list of all previous proposals, see the proposal archive

Subjects
Supervisors
  1. Veronika Cheplygina
  2. Pınar Tözün
  3. Zsolt István
  4. Sebastian Büttrich

Supervisor: Veronika Cheplygina

PROPOSAL

Predicting popularity of machine learning challenges

Machine learning challenges hosted on platforms such as Kaggle (general) or grand-challenge.org (medical imaging) have attracted a lot of attention, both from academia and industry researchers. …
Supervisors: Veronika Cheplygina
Semester: Fall 2021
Tags: machine learning, data science, medical imaging

Supervisor: Pınar Tözün

PROPOSAL

Analysis of NVMe SSDs and the IO stack

NVMe SSDs are not a uniform class of devices. IO software stack is not uniform either. Understanding the performance characteristics of new-generation SSDs and the impact of the IO stack on their …
Supervisors: Pınar Tözün
Semester: Fall 2021
Tags: SSD, benchmarking

PROPOSAL

Benchmarking ARM-based storage controllers for disaggregated storage

Disaggregated storage has gained acceptance in data centers. With disaggregated storage, storage resources are decoupled from compute resources, and made available through fabric. We are particularly …
Supervisors: Pınar Tözün
Semester: Fall 2021
Tags: benchmarking, ARM, SoC, fabric, SSD, computational storage

PROPOSAL

Exploiting Edge Devices for Data-Intensive Applications

The work on running data-intensive applications on very powerful, expensive, and power-hungry server hardware is very popular thanks to the growing size of data centers and high-performance computing …
Supervisors: Pınar Tözün
Semester: Fall 2021
Tags: edge, NVIDIA Jetson, Raspberry Pi, Odroid

PROPOSAL

Workload Characterization for Machine Learning

A data science infrastructure orchestrates the execution of widely used machine learning frameworks (e.g., TensorFlow , PyTorch) on a heterogeneous set of processing units (e.g., CPU, GPU, TPU, FPGA) …
Supervisor: Pınar Tözün
Semester: Fall 2021
Tags: benchmarking, hardware resource consumption, deep learning frameworks

Supervisor: Zsolt István

PROPOSAL

Low-latency Inference inside a Smart Storage Node

(This project will be carried out in collaboration with Xilinx Research Labs in Dublin) Machine Learning operators are becoming increasingly commonly used in data management systems and, in this …
Supervisors: Zsolt István
Semester: Fall 2021
Tags: FPGA, Data Management, MachineLearning

PROPOSAL

Secure Multi-party Computation in Databases

(This topic is going to be co-supervised by Bernardo Machado David [http://www.bmdavid.com/]) Database systems managing private data may leak sensitive information when queries are done in the clear, …
Supervisors: Zsolt István
Semester: Spring 2021
Tags: Theoretical Computer Science, Data Management, Security and Privacy

PROPOSAL

Finding Bottlenecks at Scale in Consensus Algorithms

Consensus mechanisms for ensuring consistency are some of the most expensive operations in managing large amounts of data. Often, there is a trade off that involves reducing the coordination overhead …
Supervisors: Zsolt István
Semester: Fall 2021
Tags: Benchmarking, Distributed Systems

PROPOSAL

Privacy Preserving Transformations

Given a private database that I can access only through specific queries, there is still a lot I can learn on its entries [1]. Differential Privacy (DP) tackles this: letting me learn the …
Supervisors: Zsolt István
Semester: Fall 2021
Tags: Theoretical Computer Science, Data Management, Security and Privacy

PROPOSAL

Can Permissioned Blockchains Replace Traditional Databases? Benchmarking Case Study

Blockchains are often used synonymously with crypto-currencies and unspent transaction output (UTXO) data models, but there are emerging blockchain platforms that offer a more general data model and …
Supervisors: Zsolt István
Semester: Fall 2021
Tags: Blockchain, Data Management, Benchmarking

PROPOSAL

Privacy-Preserving Key-Value Stores: Randomization in Practice

Modern data analytics systems are composed of two types of nodes: compute and storage (e.g., Amazon S3, Redis, MongoDB, etc.). The storage nodes typically offer a key-value interface and are often …
Supervisors: Zsolt István
Semester: Fall 2021
Tags: FPGA, Hardware-software Co-design, Security and Privacy

Supervisor: Sebastian Büttrich

PROPOSAL

IoT and ML enhanced scarecrow

Invasive bird species can be a serious problem in cities, towns and in agriculture. The common pigeon is a very unwelcome guest on many balconies, roofs, terraces. Conventional scarecrows often show …
Supervisors: Sebastian Büttrich
Semester: Spring 2021
Tags: IoT, ML, machineLearning, sensors, security

PROPOSAL

Modeling troposherical phenomena in extreme long distance LPWAN communication

In LoRaWAN networks such as the Things Network, long distance transmissions, well beyond the limitations of line of sight in terrestrial geometry, are frequently observed. Tropospheric effects are …
Supervisors: Sebastian Büttrich
Semester: Spring 2021
Tags: IoT, LoRaWAN, LPWAN, satellite, networks, troposphere, weather

PROPOSAL

Satellite LoRaWAN nodes for low bandwidth human communication

Recent progress in LoRaWAN development has made a new generation of satellite communications offerings available to IoT devices. In these, the LoRaWAN gateway is satellite born, and collecting data …
Supervisors: Sebastian Büttrich
Semester: Spring 2021
Tags: IoT, LoRaWAN, LPWAN, satellite, networks, edge, security