Step 1: Data-Driven PV System Power Losses Prediction in Snow Conditions- Developing photovoltaic systems performance and power losses prediction models based on machine learning (k-NN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting Trees, ANN, CNN, RNN, etc.). Step 2: Data-Driven PV System Power Generation Prediction in Snow Conditions- Analyzing the electrical and meteorological data for 18 PV systems across Canada and developing a PV power prediction framework based on machine learning for systems in snow-prone areas.- Developing snow-cover prediction models for photovoltaic systems.Step 3: Data-Driven PV System Power Generation Forecasting in Snow Conditions- Developing a novel framework for short-term photovoltaic power forecasting in snow-prone regions based on LSTM and XGBoost models.Step 4: MPC-Based Energy Management System of Microgrid with Hardware-in-the-Loop Simulation- Implementing a model predictive control-based energy management system of a microgrid in Python and a control hardware-in-the-loop simulation in OPAL-RT real-time simulator.

Task Description: Responsible for software & hardware repair and maintenance, and giving relevant services to the faculty, staff, and students.

Project Title: Evaluating the Impacts of High Penetration of Electric Vehicles on Tehran Province Power Distribution Company’s Servicing Area.Client: Tehran Province Power Distribution Company, Tehran, Iran (Website: https://www.tvedc.ir/en/) – Contract No.: 96/115.Project Manager: Dr. Payam Teimourzadeh Baboli.Task Description: - Conducting comprehensive research on global experience with Plug-in Electric Vehiclesʼ (PEVs) integration into power grids;- Modeling and simulating a real distribution grid of Tehran Province Power Distribution Company with the presence of different numbers of PEVs; - Introducing new instructions, regulations, and programs to guarantee reliable integration of PEVs into electrical distribution grids in Iran.

Advisor: Dr. Mahdi Yousefifard (Assistant Prof. of Mechanical Engineering).Task Description: Electrical specialist of the team responsible for designing electrical circuits, producing electrical boards, and choosing electrical components.Note: The boat took the second place of Conceptual Design and Smart Maneuver and the third place of Control Speed in the 4th Autonomous Surface Vehicle Competition held by Sharif University of Technology in Autumn 2016.

Advisor: Dr. Hassan Moradzadeh (Assistant Prof. of Electronics Engineering).Task Description: - Electrical specialist of the team responsible for designing electrical circuits, producing electrical boards, and choosing electrical components;- Working on Line-follower and Quad-rotor Robots.