Tomi Westerlund
tovewe@utu.fi +358 50 343 7684 Vesilinnantie 5 Turku : https://orcid.org/0000-0002-1793-2694 |
Tomi Westerlund is a professor in robotics and autonomous systems. He is the research group leader of the Turku Intelligent Embedded and Robotics Systems (TIERS) lab at the University of Turku (UTU), Finland. TIERS’s main research interests are in multi-robot systems, autonomous robots and edge computing. The main application areas for TIERS include collaborative and heterogeneous multi-robot systems, localization and mapping of urban and unstructured environments, hardware accelerators for AI (edge AI) and distributed intelligence. In essence, to better understand how robots operate and can perform a variety of functions in different fields like environmental monitoring, delivery, agriculture, and search and rescue missions. Prof. Westerlund is a senior member of IEEE.
Prof. Westerlund is the Programme Director of three International Master’s degree programmes at UTU. The International Master’s Degree Programme in Robotics and Autonomous Systems, the Double Degree Master’s Programme in Robotics and Autonomous Systems between Fudan University (Shanghai, China) and the University of Turku, and the Double Degree Programme in Embedded Systems at UTU that is part of the EIT Digital Master School. The double degree programmes give an excellent place to develop and carry out research on Engineering Education in a truly international setting.
More up-to-date information on research topics and projects as well as teaching activities can be found here: https://tiers.utu.fi
- Multidomain Selective Feature Fusion and Stacking Based Ensemble Framework for EEG-Based Neonatal Sleep Stratification (2025)
- IEEE Journal of Biomedical and Health Informatics
- Sim-to-Real Reinforcement Learning for Local Mobile Robot Navigation in Dynamic Environments (2025) 2025 European Conference on Mobile Robots (ECMR) Salimpour, Sahar; Peña Queralta, Jorge; Paez-Granados, Diego; Heikkonen, Jukka; Westerlund, Tomi
- Smart IoT-Based Solutions for Neonatal Sleep Stratification: Single-Dual Channel EEG, AdaptiSelect, Multiview Fusion, and Rotational Ensemble Stacking (2025)
- IEEE Internet of Things Journal
- An Ensemble Voting Approach With Innovative Multi-Domain Feature Fusion for Neonatal Sleep Stratification (2024)
- IEEE Access
- An evaluation of pretrained convolutional neural networks for stroke classification from brain CT images (2024) Applications of Artificial Intelligence in Healthcare and Biomedicine Irfan, Muhammad; Subasi, Abdulhamit; Mustafa, Noman; Westerlund, Tomi; Chen, Wei
- Comparison of Middlewares in Edge-to-Edge and Edge-to-Cloud Communication for Distributed ROS 2 Systems (2024)
- Journal of Intelligent and Robotic Systems
- DAI-NET: Toward communication-aware collaborative training for the industrial edge (2024)
- Future Generation Computer Systems
- Evaluating the Performance of Multi-scan Integration for UAV LiDAR-Based Tracking (2024) New Developments and Environmental Applications of Drones: Proceedings of FinDrones 2023 Catalano, Iacopo; Peña Queralta, Jorge; Westerlund, Tomi
- FPGA-Based Hardware Acceleration for Deep Learning in Mobile Robotics (2024) 2024 IEEE Nordic Circuits and Systems Conference (NORCAS) Al-Ameri, Yasir; Nguyen, Minh; Westerlund, Tomi
- Fuzzy-Based Atrous Convolution for Brain Tumor Detection Using MRI (2024)
- Symposium of Image, Signal Processing, and Artificial Vision



