The research group within Autonomous sensor systems develop technologies in the areas of energy harvesting and embedded sensors targeting autonomous sensor systems with a focus on industrial applications.

Wireless sensor systems

Energy harvesting

In energy harvesting we study technologies suitable for powering wireless sensors in industrial settings. The research includes physical modeling, prototyping, and experiments in lab and in real industrial environments. Currently we are working on harvesters for hydraulic systems utilizing pressure fluctuations, variable reluctance for rotating bodies, and in-door solar energy harvesting.

Embedded sensing

In embedded sensor we study how to utilize the potential of having the complete embedded sensor system on rotors for measuring quantities such as angular speed and acceleration, vibration, and torque. Application areas that could benefit from this research are process industry, energy production, and automotive industry.

Selfpowered wireless RPM Sensor

Self powered RPM Sensor

A new Torque Sensor Design

Torque Sensor Design

Energy Harvesting with pressure fluctuation

Energy Harvesting

Ongoing research projects

AI Competence

The project will increase knowledge, recruit and build competence in Artificial Intelligence in Västernorrland and Jämtland / Härjedalen through targeted recruitment efforts to Mid Sweden Universit...

NIIT - Next Generation Industrial IoT

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 ...

Completed research projects

IoT professionals

The IoT professionals’ project will provide advance level courses to working professionals within the technology area IoT. This in order for both the individuals and the companies they work for to...

Research team

Michele Magno

Professor, Gäst|Visiting Professor

Javier Aranda

Doktorand|Doctoral Student

010-1428367

Sebastian Bader

Universitetslektor|Senior Lecturer

010-1428095

Ye Xu

Doktorand|Doctoral Student

010-1428295