Xianjia Yu
PhD
Department of Computing xianjia.yu@utu.fi ORCID identifier: https://orcid.org/https://orcid.org/0000-0002-9042-3730 |
Areas of expertise
Robotics, Perception, Machine Learning, Computer Vision, Sensor Fusion, Federated Learning
Robotics, Perception, Machine Learning, Computer Vision, Sensor Fusion, Federated Learning
Research community or research topic
Multi-robot system perception, machine learning, sensor fusion, federated learning
Multi-robot system perception, machine learning, sensor fusion, federated learning
Biography
Dr. Xianjia Yu is a postdoctoral researcher at the TIERS Lab, University of Turku, and an automation researcher and engineer at Kaptas Oy. He earned his D.Sc. (Tech.) in Robotics and Autonomous Systems from the University of Turku in 2024, and holds dual Master’s degrees from the University of Turku and Fudan University. His research focuses on multi-modal sensing, sensor fusion, machine learning, and robotic perception.
Research
multi-modal sensing, sensor fusion, machine learning, and robotic perception
Teaching
Previously involved in three-course teaching:
Hardware Accelerators for Robotics & AI
Robotics and Autonomous Systems
Perception and Navigation in Robotics
Publications 
1 of 3
- A Sensor-Aware Phenomenological Framework for LiDAR Degradation Simulation and SLAM Robustness Evaluation (2026)
- IEEE Robotics and Automation Practice
(A1 Refereed original research article in a scientific journal) - Seamless Outdoor–Indoor Pedestrian Positioning System with GNSS/UWB/IMU Fusion: A Comparison of EKF, FGO, and PF (2026)
- Procedia Computer Science
(A4 Refereed article in a conference publication ) - Understanding Lidar Variability: A Dataset and Comparative Study Featuring Dome-Shaped, Solid-State, and Spinning Lidars (2026)
- IEEE Robotics and Automation Letters
(A1 Refereed original research article in a scientific journal) - Analysis of Deep Learning-Based Colorization and Super-Resolution Techniques for Lidar Imagery (2025)
- IEEE World Forum on Internet of Things
(A4 Refereed article in a conference publication ) - Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalised Healthcare (2025)
- IEEE Transactions on Consumer Electronics
(A1 Refereed original research article in a scientific journal) - Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment (2025)
- IEEE Journal of Biomedical and Health Informatics
(A1 Refereed original research article in a scientific journal) - Dual-Criterion Model Aggregation in Federated Learning: Balancing Data Quantity and Quality (2025)
- IEEE World Forum on Internet of Things
(A4 Refereed article in a conference publication ) - Enhancing Lidar Point Cloud Sampling via Colorization and Super-Resolution of Lidar Imagery (2025) 2025 European Conference on Mobile Robots (ECMR) Ha, Sier; Du, Honghao; Yu, Xianjia; Westerlund, Tomi
(A4 Refereed article in a conference publication ) - Enhancing the Resilience of ROS 2-Based Multi-Robot Systems with Kubernetes: A Case Study on UWB-Based Relative Positioning (2025)
- Sensors
(A1 Refereed original research article in a scientific journal) - Event-based Sensor Fusion and Application on Odometry: A Survey (2025) 2025 IEEE 6th International Conference on Image Processing, Applications and Systems (IPAS) Zhang, Jiaqiang; Yu, Xianjia; Sier, Ha; Zhang, Haizhou; Westerlund, Tomi
(A4 Refereed article in a conference publication )
UTU Research Portal