Sajad Shahsavari
PhD candidate


sajad.s.shahsavari@utu.fi

Joukahaisenkatu 3-5

Turku

Office: B6018


ORCID identifier: https://orcid.org/0000-0003-3754-1743





Areas of expertise
Data processing; Statistical machine learning; Deep learning; Reinforcement learning; Software engineering

Biography

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.



Research




Publications

  • Capacity loss estimation for li-ion batteries based on a semi-empirical model (2021)
    • Proceedings: European Conference for Modelling and Simulation
    Proceedings of the 35th ECMS International Conference on Modelling and Simulation ECMS 2021 Rabah Mohammed, Immonen Eero, Shahsavari Sajad, Haghbayan Mohammad-Hashem, Murashko Kirill, Immonen Paula
    (
    Refereed article in conference proceedings (A4))


  • MCX - An open-source framework for digital twins (2021)
    • Proceedings: European Conference for Modelling and Simulation
    Proceedings of the 35th ECMS International Conference on Modelling and Simulation ECMS 2021 Shahsavari Sajad, Immonen Eero, Rabah Mohammed, Haghbayan Mohammad-Hashem, Plosila Juha
    (
    Refereed article in conference proceedings (A4))


  • Remote Run-Time Failure Detection and Recovery Control For Quadcopters (2021)
    • Journal of integrated design and process science
    Shahsavari Sajad, Rabah Mohammed, Immonen Eero, Haghbayan Mohammad-Hashem, Plosila Juha
    (
    Refereed journal article or data article (A1))



Last updated on 2022-12-03 at 01:18