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For teams of robots moving through dynamic environments, deform planned trajectories in space and time such that they remain collision-free and reach the goal (if possible) or report failure if replanning is needed. +
Master Thesis Project +
In this project, Mutiband RF rectifiers will be designed for self-powered IoT devices +
The student should annotate 3D point cloud data for semantic segmentation and object detection. A new deep learning model needs to be implemented to learn both tasks. +
Learning shared representation using multitask learning on a vehicle-related data +
The student will devise methods for handling irregularly sampled multivariate time series data, addressing missing data and modeling temporal relationships for applications in healthcare +
Develop a system that receives a piece of music in one genre and changes/transfers its style into another genre, using machine learning algorithms. +
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Name of the new projectEstimating agricultural development indicators over large areas from satellite images – an approach using convolutional neural networks and transfer learning +
In this project you will use deep learning models, specifically convolutional neural networks (CNN), to analyze satellite imagery to estimate agricultural development indicators. +
Proof of Concept of a Position-and-Time entity based on 802.11 to enable embedded beaconing systems (e.g., a “connected reflective vest”) for workers in confined spaces where satellite-based positioning is not possible. +
Identify download patterns as a useful signal for analyzing browser extensions. +
Smart sensing for motion, presence, and accident detection—without cameras +
The proposal aims to develop a camera-based system for estimating blood pressure using machine learning and photoplethysmography +
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Implementing a single-stage deep network to detect vehicles in the segmented 3D LiDAR point cloud +
Predicting the movement of objects in the context of autonomous cars +
The thesis presents an experimental study of different object-tracking and trajectory anticipation algorithms in the context of autonomous driving. +
Obstacle Identification from 3D Data for AGVs in a Warehouse Environment +
Supervised autonomy for controlling robots at remote locations. Lasers and ultrasonic ranging to be used. +
On detecting deviations by autonomously discovering district heating control strategy used by buildings +
autonomously detect control strategy and building type from district heating data +
On the explainability of Graph Neural Networks: an application in credit scoring +
