Informazioni

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Curriculum Vitae (english)
Pubblicazioni

Bahman ASKARI

Dottorando

Bahman Askari is a PhD student whose current research interests include Machine Learning and Data Mining. His doctoral research investigates the optimization of manufacturing lines using ML techniques.

He achieved the B.S. degree from the Shiraz University, Shiraz, Iran, and the M.S. degree from the University of IAU Science and Research, Tehran, Iran, both in Computer Engineering. Bahman completed his second master’s degree in Computer Science at the University of Camerino, Italy. He did his MSc thesis in the area of smart mobility at the L3S Research Center, Leibniz University Hanover, Germany.


Pubblicazioni

2022

  • Bozza, A., Askari, B., Cavone, G., Carli, R. & Dotoli, M. (2022) An Adaptive Model Predictive Control Approach for Position Tracking and Force Control of a Hydraulic Actuator IN IEEE International Conference on Automation Science and Engineering., 1029-1034. doi:10.1109/CASE49997.2022.9926645
    [BibTeX] [Download PDF]
    @CONFERENCE{Bozza20221029,
    author={Bozza, A. and Askari, B. and Cavone, G. and Carli, R. and Dotoli, M.},
    title={An Adaptive Model Predictive Control Approach for Position Tracking and Force Control of a Hydraulic Actuator},
    journal={IEEE International Conference on Automation Science and Engineering},
    year={2022},
    volume={2022-August},
    pages={1029-1034},
    doi={10.1109/CASE49997.2022.9926645},
    note={cited By 0},
    url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141675790&doi=10.1109%2fCASE49997.2022.9926645&partnerID=40&md5=8ea9bb1c05f9c04a733472aeef5755d1},
    document_type={Conference Paper},
    source={Scopus},
    }