Mattias O'Nils is a Professor at Mid Sweden University's Department of Computer and Electrical Engineering (DET) and Head of the STC Research Centre. His research focuses on Internet of Things (IoT) systems, wireless sensor networks, machine learning, and computer vision with applications in industrial monitoring, forestry automation, and medical imaging. Lead author in 2025 IEEE Access paper on multi-component fault diagnostics Developed AdVision system for advertisement detection in printed media Co-inventor of Time-dependent Clustering Loss for DNN optimization His work spans edge computing, data fusion, and energy-efficient sensor networks, with recent emphasis on deep learning applications in healthcare and industrial systems. Publications highlight collaborations with researchers across multiple domains including forestry technology and skin lesion classification. Current research trends include distributed CNN optimization , contextual domain adaptation , and real-world energy consumption modeling for IoT devices. He supervises projects in the STC Research Centre related to smart industry solutions and transformative technology.








