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
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
(Refereed article in conference proceedings (A4)) - MCX - An open-source framework for digital twins (2021)
- Proceedings: European Conference for Modelling and Simulation
(Refereed article in conference proceedings (A4)) - Remote Run-Time Failure Detection and Recovery Control For Quadcopters (2021)
- Journal of integrated design and process science
(Refereed journal article or data article (A1))
UTU Research Portal