Premi per la ricerca

Adolfo SENATORE Premi per la ricerca

Best Paper Award 23rd International Conference on Mechatronics Technology ICMT 2019
International Steering Committee
2019
Best conference paper "INTELLIGENT CONTROL STRATEGY FOR ELECTRIC MOTOR MANAGEMENT TO IMPROVE DRY-CLUTCH PERFORMANCE IN MILD HYBRID VEHICLES"
Best paper award - International Conference on Mechatronics Technology ICMT
Steering Committee of the International Conference on Mechatronics Technology ICMT
2019
Best paper award to the conference paper "Intelligent Control Strategy for Electric Motor Management to Improve Dry-Clutch Performance in Mild Hybrid Vehicles"
Best conference paper award - ICMT 2019 23rd Int. Conference on Mechatronics Technology
International Steering Committee
2019
http://icmt2019.org
ICMT 2019 - Best Paper Award
Best Paper Award - 23rd International Conference on Mechatronics Technology
International Steering Board of International Conference on Mechatronics Technology
2019
Best conference paper "INTELLIGENT CONTROL STRATEGY FOR ELECTRIC MOTOR MANAGEMENT TO IMPROVE DRY-CLUTCH PERFORMANCE IN MILD HYBRID VEHICLES"
Best paper award - International Conference on Mechatronics Technology ICMT
Steering Committee of the International Conference on Mechatronics Technology ICMT
2018
Best paper award to the conference paper "Estimation of dry clutch torque in automated manual transmission: vehicle test and real-time algorithm"
Best Paper Award
Best Paper Award - 21st International Conference on Mechatronics Technology (ICMT2017)
General Chair of the 21st International Conference on Mechatronics Technology (ICMT2017) - Vietnam
2017
http://web.unisa.it/ricerca/premi-ricerca?id=51
Highly Cited Research
Highly Cited Research
The Editors of WEAR - Elsevier - Paesi Bassi
2017
In recognition of the contribution to the quality of the journal made by the paper.
http://web.unisa.it/ricerca/premi-ricerca?id=38
Best Paper Award
Best Paper Award - First International Conference of IFToMM Italy IFIT2016 Vicenza. Paper title: TYRE-ROAD ADHERENCE CONDITIONS ESTIMATION FOR INTELLIGENT VEHICLE SAFETY APPLICATIONS.Authors: Mojtaba Sharifzadeh, Francesco Timpone, Arash Farnam, Adolfo Senatore, Ahmad Akbari
International Federation for the Promotion of Mechanism and Machine Science/IFToMM - Italia
2016
http://docenti.unisa.it/020027/ricerca/premi-ricerca?id=32
  Fonte dati IRIS-RM