The Pervasive Systems group continuously investigates new and exciting research areas and there are a lot of opportunities for Masters and bachelors students to explore new interests or consolidate foundations. Have a look below for some ideas, all the projects can be tailored for either Masters or Bachelors so contact us for more information and also if you have your own proposal for a project that fits Pervasive Systems.
Available assignments
[S = Sensing, N = Networking, D = Data Analytics and Machine Learning]
- [N] Reliable low-latency networking: many radios, many paths
- [N] Hierarchical and distributed control of wireless networks
- [N] Build a clever Wi-Fi access point
- [ND] Bringing intelligence to Wireless Sensor Nodes
- [ND] Enhancing Underground Ad-Hoc Network Performance Under Dynamic Soil Conditions
- [DN] Edge AI for a better wireless network
- [DN] One AI to rule them all (the wireless networks)
- [DS] Buzz Buzz: Monitoring insects without touching them
- [D] Predicting Subtle Human Behaviour
- [D] Deep Unsupervised Representation Learning for Animal Activity Recognition
- [D] Smart Labeling of Animal Activity Data
- [D] Horse Activity Recognition Pipeline
- [D] Let There be IMU data 1
- [D] Let There be IMU data 2
- [D] Use Everything you got
- [D] Which Came First? The AI or the Data?
- [D] Clip-Clop: horses step detection
- [ND] Swarms of robots
- [SD] Social Robots Are Here To Help
- [ND] Fixing the Wi-Fi in the future?: Predictive Forward Error Correction
- [ND] Finding the Truth: Probabilistic Graphical Models for cross-layer inference
- [SD] Securing your things: Find the anomaly in the IoT
- [SN] Bottom up: Underground wireless radio link and wake up at 125KHz
- [N] Connect: Ad-Hoc LoRa network in extremely lossy environments
- [ND] Horoscopes for Factories: Sensitivity Analysis of Predicting Wireless Channel in an Indoor Factory Floor
- [D] Listen up: Unobtrusive voice sensing for elderly care in agitation
- [D] WATER: Investigating the failure of PVC pipes
- [D] A tool for systematic review of multimodal transport and logistics simulation techniques
- [D] Building a simulation tool based on Cloud-Fog-Edge Computing in multi-modal logistics
- [D] Open IoT data-based visualization tool for transport and logistics movements