Tomi Westerlund
tovewe@utu.fi +358 50 343 7684 Vesilinnantie 5 Turku ORCID-tunniste: https://orcid.org/0000-0002-1793-2694 |
Tomi Westerlund is a Professor of Robotics and Autonomous Systems. He leads the Turku Intelligent Embedded and Robotic Systems Research Group. His current research interest is in multi-robot systems, autonomous robots and edge computing. More specifically, the areas of interest are digital twins, industrial IoT, smart cities, and, in particular, unmanned autonomous vehicles (aerial, ground and surface) and (co-)robots. In all these application areas, the core research interests are multi-robot systems, interoperability, fog/edge computing, distributed ledger technologies, sensor fusion and edge AI. He is a senior member of IEEE.
Prof Westerlund is the head of the Double Degree Master’s Programme in ICT between Fudan University (Shanghai, China) and the University of Turku as well as the EIT Digital Embedded Systems programme at the University of Turku as well as the head of the international Master’s degree programme in ICT Smart Systems. In these programmes, he actively takes part in teaching also.
More up-to-date information on research topics and projects as well as teaching activities can be found here: https://tiers.utu.fi
- Lightweight Security Algorithms for Resource-constrained IoT-based Sensor Nodes (2020)
- IEEE International Conference on Communications
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Localization in Unstructured Environments: Towards Autonomous Robots in Forests with Delaunay Triangulation (2020)
- Remote Sensing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - MSS U-Net: 3D segmentation of kidneys and tumors from CT images with a multi-scale supervised U-Net (2020)
- Informatics in Medicine Unlocked
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Multi-Sensor Fusion for Navigation and Mapping in Autonomous Vehicles: Accurate Localization in Urban Environments (2020)
- Unmanned Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Navigation and Mapping in Forest Environment Using Sparse Point CloudsSim-to-Real Transfer in Deep Reinforcement Learning for Robotics: A Survey (2020)
- Remote SensingProcedia Computer Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Particle telescope aboard FORESAIL-1: Simulated performance (2020)
- Advances in Space ResearchSensors
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2020) 2020 IEEE Symposium Series on Computational Intelligence (SSCI) Zhao W., Queralta J.P., Westerlund T.
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Smart Parking System with Dynamic Pricing, Edge-Cloud Computing and LoRa2020
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Towards Active Vision with UAVs in Marine Search and Rescue: Analyzing Human Detection at Variable Altitudes (2020) 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) Qingqing L., Taipalmaa J., Pena Queralta J., Gia T.N., Gabbouj M., Tenhunen H., Raitoharju J., Westerlund T.
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces (2020)
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
