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RUNOFF MODELING IN ORDER TO INVESTIGATE THE MOST EFFECTIVE FACTORS IN FLOOD EVENTS USING SYSTEM DYNAMIC APPROACH (CASE STUDY TEHRAN WATERSHED IRAN)
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
A game-theoretic approach for analysing a competition between electric and hydrogen-based vehicles in a supply chain to reduce carbon emission under government strategies
Spin Recovery of High-Angle-of-Attack Aircraft with Altitude Gain Reduction in the Presence of Aerodynamic Uncertainty: A MIMO Super-Twisting Sliding Mode Approach
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models
A novel optimized fuzzy approach based on monte carlo method for system load, wind turbine and photovoltaic unit uncertainty modeling in unit commitment
Teaching Experiences
2021- Akbari N.
Research Interests
International Conferences
فعاليت‌هاي اجرايي
Research Projects
2014, Ali HasanNia Graduated
Fuel cells application in subsea industries
Biography