Sajad Shahsavari
PhD candidate
sajad.s.shahsavari@utu.fi Joukahaisenkatu 3-5 Turku Työhuone: B6018 ORCID-tunniste: https://orcid.org/0000-0003-3754-1743 |
Asiantuntijuusalueet
Data processing; Statistical machine learning; Deep learning; Reinforcement learning; Software engineering
Data processing; Statistical machine learning; Deep learning; Reinforcement learning; Software engineering
Biografia
Sajad Shahsavari is a Ph.D. student at University of Turku, Finland, and works as a researcher at Computational Engineering and Analysis (COMEA) research group in Turku University of Applied Sciences. His research interests include deep neural networks, time-series prediction, reinforcement learning and data analysis. He received his B.Sc. degree in Computer Engineering from Amirkabir University of Technology, Tehran, Iran in 2014 and his M.Sc. degree in Artificial Intelligence from Sharif University of Technology, Tehran, Iran in 2017.
Tutkimus
Julkaisut
- Capacity loss estimation for li-ion batteries based on a semi-empirical model (2021)
- Proceedings: European Conference for Modelling and Simulation
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - MCX - An open-source framework for digital twins (2021)
- Proceedings: European Conference for Modelling and Simulation
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)) - Remote Run-Time Failure Detection and Recovery Control For Quadcopters (2021)
- Journal of integrated design and process science
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))