Tomi Westerlund profiilikuva
Tomi
Westerlund
professori, robotiikka ja autonomiset järjestelmät

Ota yhteyttä

+358 50 343 7684
Vesilinnantie 5
20500
Turku

Biografia

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  

Julkaisut

Järjestä:

Particle Telescope PATE onboard FORESAIL-1 CubeSat (2021)

COSPAR Scientific Assembly
Gieseler Jan, Janhunen Pekka, Kilpua Emilia, Vainio Rami, Palmroth Minna, Oleynik Philipp, Hedman Hannu-Pekka, Punkkinen Arttu, Punkkinen Risto, Salomaa Lassi, Säntti Tero, Tuominen Jarno, Virtanen Pasi, Praks Jaan, Slavinskis Andris, Rameez Kakakhel Syed, Plosila Juha, Tammi Jani, Tenhunen Hannu, Westerlund Tomi
(Muu (O2))

Non-Wearable IoT-Based Smart Ambient Behavior Observation System (2021)

IEEE Sensors Journal
Irfan Muhammad, Jawad Husnain, Felix Barkoum Betra, Abbasi Saadullah Farooq, Nawaz Anum, Akbarzadeh Saeed, Awais Muhammad, Chen Li, Westerlund Tomi, Chen Wei
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Federated Learning in Robotic and Autonomous Systems (2021)

International Conference on Mobile Systems and Pervasive Computing, Procedia Computer Science
Yu Xianjia, Peña Queralta Jorge, Heikkonen Jukka, Westerlund Tomi
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))