Competence supply through lifelong learning
The industry’s need for professional engineers with advanced IT skills is great. In this project, a model for work-integrated learning will be developed to meet the need and strengthen the students...
Computer engineering covers techniques, theories and methodological aspects for the structure, function and applications of computers, including both hardware and software. The subject Computer engineering for third cycle education (PhD education) at Mid Sweden University consists of three specializations, Communication Networks, Data Analysis and Multidimensional Signal Processing.
This part of the subject covers techniques, theories and methodological aspects for communication networks, distributed systems, especially communication over wireless links and networks, as well as implementation aspects of the technology used in such links and networks. Central concepts are protocols, resource allocation, routing, access technology, interference management, dimensioning, network protocols, network security, intermediate software and issues related to connected and communicating devices on a large scale.
This part of the subject covers techniques, theories, and methodological aspects for data analysis, especially algorithms and applications for data mining, machine learning, artificial intelligence, analysis of streaming data and images, and distributed data analysis.
This part of the subject covers techniques, theories, and methodological aspects for capturing, modelling, processing, coding, and visualizing signals, especially those that can be interpreted with human perception. Central concepts are interacting signals and systems.
The industry’s need for professional engineers with advanced IT skills is great. In this project, a model for work-integrated learning will be developed to meet the need and strengthen the students...
The projects overall objective is that companies in the region can use the opportunities that AI, IoT and data-driven development bring to strengthen competitiveness and develop sustainable product...
In the DRIVEN project, Mittuniversitetet together with 23 companies and organizations will develop new courses adapted to the needs of data-driven development in various industries. In the four-yea...
IMMERSE aims to transform remote operations with technologies for augmented and immersive experiences, targeting the Aurora region's challenges and skills shortages. Its goal is to improve the acce...
The project aims to establish a new national infrastructure for the visualization and analysis of scientific data. This new infrastructure will provide researchers with access to expertise and...
IRS TransTech will focus on international collaborative research projects that, in addition to solving specific research questions, will increase knowledge on industrial transformation, especially ...
The overall vision of LoLiPoP IoT is to develop Energy Harvesting/micro-power management solutions for Wireless IoT edge devices that enable long battery life sensors to be retrofitted on, in or ne...
NIIT is a new research action at Mid Sweden University. The industrial focus is the next generation IoT technology and methods supporting the transformation of the process industries. The research ...
Plenoptima is European collaboration with researchers and partner organisations in an innovative training network. The aim is to develop a cross-disciplinary approach to plenoptic imaging.
Pressure ulcers create suffering and high costs in society. In the research project “Pressure - IoT to reduce injuries from pressure ulcers”, the goal is to develop a cheap and robust IoT-based...
The project's objective is to create data-driven automation solutions enabled by robust wireless connectivity, and attract talents to this region by creating the North-Nordic inter-regional ICT Bel...
This project focuses on the challenges of 5G connectivity and communication to remotely control timber loaders at timber terminals. The terminals are often isolated and have a demanding environment...
The project aims to enhance safety at worksites and prevent workforce-related accidents by proposing a workforce location management system that detects people, vehicles, assets, and potential...
The project develops secure and robust wireless networks for remote areas in the Aurora region. Through AI and cybersecurity, reliable communication solutions are created that strengthen the...
The project aims to create a prototype of a new sensor-based support system with cognitive feedback to the operator in real time. Physical data shall be recorded via sensors in a handheld tool and...
The page was updated 12/10/2024