Ph.D. in Mechanical Engineering

September 2023 – Present
University of Alberta, Edmonton, Canada

Thesis:
Machine Learning-Based Modeling and Control of Hydrogen/Diesel Dual-Fuel Engines for Emissions Reduction and Safety Enhancement

Advisors: Bob Koch, David Gordon
Overall GPA: 4.0 / 4.0

Summary:
My PhD research provides one of the experimental demonstrations of machine learning–enhanced nonlinear model predictive control for hydrogen/diesel dual-fuel (HDDF) engines, explicitly addressing real-time implementation, safety-critical constraints, and multi-cylinder combustion variability. The work integrates physics-based modeling, data-driven learning, and optimal control to enable reliable, low-emission operation in practical engine systems. The broader objective is to develop safe, interpretable, and deployable learning-enabled control frameworks for complex energy and dynamical systems.

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M.Sc. in Mechanical Engineering

September 2018 – December 2020
Sharif University of Technology, Tehran, Iran

Thesis:
Experimental Modeling of a Transparent Fuel Cell Using Deep Neural Networks for Water Coverage Estimation and Fuzzy Control

Advisors: Aria Alasty, Mohammad Jafar Kermani
Overall GPA: 4.0 / 4.0

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B.Sc. in Mechanical Engineering

September 2014 – September 2018
K.N. Toosi University of Technology, Tehran, Iran

Thesis:
Vehicle Parallel Park Training Using Haptic Assistance Torque in a Driving Simulator

Advisor: Ali Nahvi
Overall GPA: 3.78 / 4.0