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kartal, turkey
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Det er i øjeblikket 11:55 AM her
Tilmeldt november 24, 2023
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Farshid S.

@FarshidSadeghi

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kartal, turkey
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Genansættelsesrate

Mechanical Engineer Ph.D.

Ph.D. student of mechanical engineering with experience in CFD, controller design, vibration, renewable energy, hydrogen combustion, artificial intelligence etc.

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11515543
11510957
11508560
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11508538
11508511

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Erfaring

Graduate Student Researcher

Gebze Technical University
nov. 2021 - Nuværende
Working on the TÜBİTAK 2244 project in corporation with Şişecam Co. focusing on the improvement of the glass melting furnaces.

Graduate Student Researcher

Middle East Technical University
maj 2019 - maj 2020 (1 år)
Working on the TÜBİTAK 3501 project focusing on the improvement of the vehicle’s active suspension systems.

HVAC Designer

Organization for Renovating, Developing, and Equipping Schools
feb. 2016 - okt. 2017 (1 år, 8 måneder)
Designing mechanical plans for state schools in Ardabil province.

Uddannelse

Doctorate

Gebze Yüksek Teknoloji Enstitüsü, Turkey 2021 - 2023
(2 år)

Master

Middle East Technical University, Turkey 2018 - 2020
(2 år)

Master

Daneshgahe Tabriz, Iran, Islamic Republic of 2012 - 2015
(3 år)

Publikationer

Optimal Sliding Mode Control Method for Active Suspension Control

21st IFAC World Congress in Berlin
Designing a non-linear controller for an active suspension and designing a parameter estimator for estimating vehicle sprung mass for better accuracy of the controller.

Energy usage in glass industry: past, today, and tomorrow

Springer International Publishing
Investigation of the feasibility of using hydrogen as an alternative fuel for natural gas from energy usage and energy saving aspects.

An innovative approach to analysis of glass furnace data for the energy efficiency purpose

Şişecam 37th International glass conference in İstanbul
Processing and analyzing measured data of glass melting furnace using the Data Reconciliation method and achieving correct system parameters.

Utilizing artificial neural networks to predict the asphalt pavement profile temperature in western

Case Studies in Construction Materials
Designing and training different neural networks for prediction of asphalt temperature from environmental sensors.

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