Sajad Shahsavari
Doctoral Researcher
sajad.s.shahsavari@utu.fi : B6018 |
Data processing; Statistical machine learning; Deep learning; Reinforcement learning; Software engineering
Machine-learning based digital twin for autonomous systems
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.
- A Coordinated Approach to Control Mechanical and Computing Resources in Mobile Robots (2025)
- IEEE Transactions on Robotics
- A Coupled Battery State-of-Charge and Voltage Model for Optimal Control Applications (2023)
- Proceedings : Design, Automation, and Test in Europe Conference and Exhibition
- An Extension of the Kinetic Battery Model for Optimal Control Applications (2023)
- Proceedings of the IEEE International Symposium on Industrial Electronics
- Capacity loss estimation for li-ion batteries based on a semi-empirical model (2021)
- Proceedings: European Conference for Modelling and Simulation
- MCX - An open-source framework for digital twins (2021)
- Proceedings: European Conference for Modelling and Simulation
- Remote Run-Time Failure Detection and Recovery Control For Quadcopters (2021)
- Journal of integrated design and process science