Open Guided Research, BSc and MSc Thesis Topics
We are offering topics in the context of and complementing our research projects. Below is a short list of some of the open topics. Please contact us to learn more about those. And, since any list may be out of date, please also check with us about other emerging topics or your own ideas. The homepage for chair members can be found here.
We are primarily a systems research group, so usually expect to do some kind of real world prototype system and/or simulator code implementation and evaluation. This may include putting together hardware for testbeds or evaluation systems and sometimes user studies. In some cases, we'll look for solid mathematical modeling and analysis, likely paired with simulations.
We expect all theses to be written in English.
Formal guidelines and information about the formatting and the submission of a thesis can be found here.
To apply for a topic, please send an email to the respective supervisor including a letter of motivation, CV, and a transcript of your completed courses.
Note: For the majority of the thesis topics, the candidate is required to undergo a trial period of the duration of one month during which his/her capabilities will be assessed. Such requirement implies that the official thesis registration date will be accordingly moved. Exceptions are possible based on the advisor discretion.
List of Topics
|Measuring HTTP/2 and TLS 1.3 adoption using HTTP Archive dataset||MT/GR||Trinh Viet Doan|
|Large-scale mobile QoE analysis using HTTP Archive and Google CrUX datasets||MT/GR||Trinh Viet Doan|
|Deep Dive into Google CrUX Dataset||MT/GR||Trinh Viet Doan, Vaibhav Bajpai|
|Network Layer for Abstracting Broadcast Beaconing–based Communications||Bluetooth LE, LoRa, VLC||MT/GR||Teemu Kärkkäinen, Michael Haus|
|Disruption and Disconnection Tolerant Video Analytics Platform||BT/MT||Teemu Kärkkäinen|
|Serverless Lambda Executors at the Edge of the Network||MT||Teemu Kärkkäinen|
|Simulating Bluetooth Low Energy Beaconing by Mobile Devices||MT/GR||Teemu Kärkkäinen|
|Analysing Microcontroller Use in Everyday Objects Based on Youtube Teardown Videos||BT/GR||Teemu Kärkkäinen|
|Mapping Cellular Network Dead Zones in Germany||MT||Vaibhav Bajpai|
|Analysing FCC's Measuring Mobile Broadband Dataset||MT||Vaibhav Bajpai|
|A Longitudinal View of Mobile Broadband Speeds in DE/AT||MT/BT||Vaibhav Bajpai|
|Measuring Web and Video Content Delivery over QUIC||MT||Vaibhav Bajpai|
|A Deep Dive into FCC's Measuring Broadband America Dataset||MT||Vaibhav Bajpai|
|Performance Evaluation of DNS over HTTPS and DNS over TLS||MT||Vaibhav Bajpai|
|Measuring TLS 1.3||MT||Vaibhav Bajpai|
|Beyond Docker: Unikernels live migration||IoT, OS, Virtualization||MT||Vittorio Cozzolino|
|Scheduling Optimization for Parallel GPU Inference||GPGPU, Scheduling||MT,GR||Vittorio Cozzolino|
|Distributed File Systems for Edge Networks||IoT, DFS||MT|
|Measuring Network Protocols for Self-Driving Cars||IoT, Network protocols||MT,BT||Vittorio Cozzolino|
|Object recognition with Microsoft Hololens and OpenCV||AR, CV||MT||Vittorio Cozzolino|
|Mobile AR at Scale - Providing Immersive Virtual Content to Thousands of Users||AR, CV||MT, GR||Vittorio Cozzolino|
|"Alexa: can you hear me?" - Improving speech recognition in loud environments||IoT, Signal processing||MT||Vittorio Cozzolino, Leonardo Tonetto|
|Crypto-offloading for QUIC using NetFPGA||Network Protocols||MT||Jörg Ott|
|Next frontier of HCI: mapping brainwaves signals to actions in Augmented Reality||Machine Learning, AR||MT||Vittorio Cozzolino, Leonardo Tonetto|
|Characterizing Indoor and Outdoor Performance of mmWave WLAN||MT||Jörg Ott, Bernhard Häfner|
|Transport Layer Packet Scheduling for Intermittently Connected Mobile Nodes||MT||Jörg Ott, Bernhard Häfner|
|Revisiting Characterisation of YouTube Videos||BT||Vaibhav Bajpai|
|Human Mobility Tracking with Highly Directional Wi-Fi Beams||MT||Teemu Kärkkäinen|
|Sharing With Privacy Caring||Machine Learning||BT, MT||Leonardo Tonetto|
|"Where am I?": Mobile devices indoor localization||ML, Signal Processing||BT, MT||Leonardo Tonetto|
|Where are all these people going?||Mobility, ML||BT, MT||Leonardo Tonetto|
|"Can you read my mind?" - Brainwaves modelling for human-machine interaction||Signal Processing, ML||BT, MT||Vittorio Cozzolino, Leonardo Tonetto|
|A Deep Dive into Netflix Performance and QoE||BT||Vaibhav Bajpai|
|Analysis of Mobile User QoE using a large-scale dataset from Google||MT||Vaibhav Bajpai|
|Live Dashboard of Longitudinal Internet Performance and QoE Datasets||MT||Vaibhav Bajpai|
|Sensor Data Analysis Inferring Group Proximity at Different Scales||Data analysis||MT,GR||Michael Haus|
|Proximity Services in Highly Mobile Environments||Mobile networking||MT,GR||Michael Haus|
|Indoor Localization via Decentralized Light Bulb Network||Indoor localization||MT,GR||Michael Haus|
|Ubiquitous Visible Light Communication||Mobile networking||MT,GR||Michael Haus|
|Drone-Enabled Autonomous IoT Device Management||IoT device management||MT,GR||Michael Haus|
|User Interfaces for Travel Recommender Systems||Recommender Systems||GR||Wolfgang Wörndl|