IT-Design as product and process Ny
You will learn conceptual frameworks and tools and techniques that are relevant • for the analysis and design of the products • for you conducting the process that leads to the product. Will help you choose a relevant project
Carbon footprint aware Machine Learning Ny
Want to study ML from a sustainability point of view? Interested for Network Architecture Search?
Beat Quantum Physicists at their own Game! Ny
- Joint project with Center for Quantum Devices - Extend and improve methods to autotune quantum devices - Run your algorithm on a real or simulated device!
Low Light Image Enhancement Ny
Are you interested for image enhancement? Bad quality of image (like low light, blurred) leads to incorrect result. We can employ different techniques to improve the image quality.
Memory-Region Aware Task-Parallel Programming in Standard ML Ny
This project aims at investigating the use of MLKit (a Standard ML compiler that uses regioninference as the primary memory management strategy) for implementing a set of taskparallel algorithms.
IoT and Collaborative Virtual Reality Ny
1: Internet-of-Things/microcontroller – exploring, designing & implementing new ways for remote/hybrid work using speculative design methods 2: Cooperative Virtual reality – designing and implementing a cooperative VR prototype.
Theoretical and Practical Issues in Feature Fusion Ny
Problem: how should features from different input modalities be fused together for classification tasks? What are the theoretical and practical properties of different fusion methods? Is there one definitively best method?
Digital Health Ny
We engage more than 400 heart patients with pacemakers in digital health research and in design and use of a mobile patient app for improved communication with the heart clinic at Rigshospitalet .
Solving Coupled Differential Equations in Futhark Ny
Using Futhark's higher-order parameterisation methods (e.g., higher-order functions and modules), this project aims at developing generic routines for solving sets of coupled differential equations in parallel (over sets of differ
Processes, machine learning and distributed systems Ny
Particular topics of interest include: 1) Executing and monitoring processes on blockchains 2) Process mining: machine learning for processes 3) Distributed modelling of process models 4) Planning of processes, in particular in