Spearhead projects – Digitalization and smart society

University of Oulu directs strategic research funding for multidisciplinary, internationally reviewed 4-year-projects. The spearhead projects related to the research focus area Digitalization and smart society are organized under the focus institute Infotech.

Spearhead projects – Digitalization and smart society

Bayesian Deep Learning for Opportunistic Disease Screening

Portable diagnosis and deep tissue monitoring with microwaves

Provably Authentic Model Training in Machine Learning

Social equality for digital rural areas

What a healthy future city feels like?

A Framework for General Spatial AI

Accurate, deep tissue functional spectroscopy for a wide field of biomedical research

Energy-Efficient Wireless Access

Immersive Extended Reality Environments with Cache-aided Directional Access

Low-energy high-performance sensing materials for environment digitalization

Memristors and neuromorphic sensors from vertically aligned layered materials

Multisensory automation for assisted living

Robust and Reliable Delay-Sensitive Communication and Control Co-Design

Safe biomonitoring by bioICT integrated wearables

SmartBAN Enabled Human Vital Sign Measurements

Towards Secure and Reliable Deep Learning Systems against Adversarial Attacks

Virtual Reality-Based Telepresence through Improved Autonomy

Bayesian Trusted Edge Analytics

Environment digitization and interactions by embedded self-sustainable systems

IoT Localization Systems Using Shared Access in Radar Bands

Personalization, Privacy and Quality Control for MaaS with Blockchain

Prediction and decision support systems for knee osteoarthritis

Proactive and Context-Aware Networks under Reliability and Latency Constraints

Sparsity-Aware Online Signal Processing with Compressive Sensing

Towards Reading Micro-expressions in the Real World

TWIsted LIGHT for digital tissue diagnosis

Vision Sensing Technologies for Healthcare Diagnosis

Vision-based 3D perception for mixed reality applications

Sensor Within: Harnessing Human Biology for Sensing Applications