Masters and Bachelors assignments

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] 

• [D] Federated Learning in Smart-Bikes
• [SD] Road Safety in Smart-Bikes
• [D] Smartphone-Based Indoor Localization using Compressive Transformer
• [D] Embedded Machine Learning for Real-Time Flow Rate Measurement
• [D] Weighted Convolutional Neural Networks Rare Electrocardiogram Signals Detection for Real-Time Heart Monitoring
• [D] Towards Simulation Tools for Federated Learning
• [D] Smartphone's Context Detection using Transformer
• [D] Transfer Learning for Indoor Localization with Smartphones
• [D] Convolutional Algorithms for Real-Time Data Processing with Time Series on Smartphones for Navigation and Tracking
• [D] Luistervinq 1 – Activity recognition in nature using sound and AI
• [D] Luistervinq 2 – Activity recognition in nature using sound and AI
• [D] Compressed generative adversarial networks for real-time feature extraction for fingerprinting localization with smartphones
• [D] IMU Generator with End-To-End Learning for IMU Data Generation from Videos
• [D] Lightweight image-based key point tracking for real-time bridge monitoring with smartphones
• [SD] Compressed convolutional neural networks for the classification of electrocardiogram signals on embedded devices
• [SND] Sensor data pre-processing & compression for BLE transmission
• [N] Do Horoscopes Work for Factories? Performance Comparison of Wireless Channel Prediction Algorithms within an Indoor Factory Floor
• [N] Are Horoscopes beneficial? Sensitivity Analysis of Predicting Wireless Channel in multiple environments
• [N] Mobile Ad-hoc Routing in MaritimeManet
• [N] Design and implementation of an improved MaritimeManet node 
• [N] Revitalizing the wireless network infrastructure for MaritimeManet
• [N] Distributed Neighbourhood Discovery in MaritimeManet
• [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)
• [ND] Swarms of robots
• [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?
• [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
• [DS] FCMW Radar: Stay home and listen to your heart!
• [DS] FCMW Radar: Check your pet heart rate together with your heart rate!
• [DS] FCMW Radar: How you doing buddy? Track and monitor your pet.
• [SD]  Hoof balance and growth monitoring 

Theses in Industry

The Pervasive Systems group collaborates very actively with many industry and research partners. Below is a list of interesting industry-lead research topics for the students interested in an expereince in the industry sector.

• [DN] Attacks against AI/ML-based systems in communication networks @ TNO
• Towards a new process for fieldwork on soil and subsoil with SAXION
• Automation and digitalisation for soil and subsoil fieldwork with SAXION