Juha Röning

Professor

University of Oulu

Finland

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About

Juha Röning is a Professor at the University of Oulu in Finland. His research areas encompass UAV technologies, machine learning, and sustainable practices within the Industrial Internet of Things. Recent publications include work on point cloud segmentation, battery management systems, and citizen science engagement. He is dedicated to advancing technology in both practical applications and innovative research methodologies.

Articles (17)

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2021

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2020

Collaborators (15)

Markus Harju

University Lecturer

University of Oulu

FINLAND

Juha Röning

Research Interests

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About

Articles (17)

Federated Learning on 5G Edge for Industrial Internet of Things

UAV digital platform for first-response operations, daily transports, and data acquisition

Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation

Convolutional Neural Network-Based Classification of Lithium-Ion Battery CAN Messages

Copy-Rotate-Paste Augmentation for Point Cloud Segmentation

CAN Interface Insights for Electric Vehicle Battery Recycling

Automatic Jig-Assisted Battery Exchange for Lightweight Drones

Mobile Robot + IoT: Project of Sustainable Technology for Sanitizing Broiler Poultry Litter

Clinical-Grade Patches as a Medium for Enrichment of Sweat-Extracellular Vesicles and Facilitating Their Metabolic Analysis

Predicting Emotion with Biosignals: A Comparison of Classification and Regression Models for Estimating Valence and Arousal Level Using Wearable Sensors

Explainable Artificial Intelligence to predict clinical outcomes in type 1 diabetes and relapsing-remitting multiple sclerosis adult patients

Hyperbolic Uncertainty Aware Semantic Segmentation

Modeling intrinsic factors of inclusive engagement in citizen science: Insights from the participants’ survey analysis of CSI-COP

Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances

Implications of properties and quality of indoor sensor data for building machine learning applications: Two case studies in smart campuses

Evidence-Based and Explainable Smart Decision Support for Quality Improvement in Stainless Steel Manufacturing

Utilisation of glass wool waste and mine tailings in high performance building ceramics

Collaborators (15)

Markus Harju

Tiina Maria Ikäheimo

Tero Kaarlela

Harry Edelman

Ulla Lassi

Riitta Veijola

Jacky Cao

Tomi Pitkäaho

Mikael Knip

Jordi Vallverdú

Jaimz Winter

Xiang Su

Guillermo del Campo

Seppo Vainio

Wei Peng

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