Sajad
Shahsavari
Doctoral Researcher, Department of Computing
Doctoral Researcher
Machine-learning based digital twin for autonomous systems
Contact
Links
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.
Publications
A Coupled Battery State-of-Charge and Voltage Model for Optimal Control Applications (2023)
Design, Automation, and Test in Europe Conference and Exhibition, Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
An Extension of the Kinetic Battery Model for Optimal Control Applications (2023)
International Symposium on Industrial Electronics (ISIE), Proceedings of the IEEE International Symposium on Industrial Electronics
(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))