Academic Background[edit | edit source]
I received my B.Sc. in Energy Engineering from AmirKabir University of Technology (Tehran Polytechnic) in 2019. During my Bachelor's, I've been studying the fundamentals of energy systems, focusing on the economic aspects. After graduating, I worked as a Process Engineer at MEPCELL Co., performing PV plant sizing and simulating HVAC ducts from July to December. Beginning in 2020, I joined Politecnico di Milano as an M.Sc. student, studying Energy Engineering, track of Renewables, and Environmental Sustainability. During my M.Sc., I focused on the electricity market of the EU along with mathematical modeling and optimization of power system components. I conducted several projects in machine learning, data analysis, simulation, and optimization of electricity systems. In 2022, I started researching on the resilience of the electricity sector in response to climate change and extreme weather events with the supervision of Prof. Parhizkar from the B. John Garrick Institute for the Risk Sciences, UCLA, and Prof. Bosisio from the Department of Energy Engineering, PoliMi. For my M.Sc. thesis, I focused on optimizing the electricity sector through a resilience-based approach, using a case study that explored the vulnerability of California's transmission grid to wildfires.
Academic Projects[edit | edit source]
- Multi-energy system optimisation - MILP optimisation using Pyomo for evaluating optimal operating strategy of DG system.
- Data-driven approach for building behavior modelling and consumption prediction.
Conferences[edit | edit source]
European Conference on Safety and Reliability (ESREL) 2022, Dublin, Ireland (Preprint).
Community Involvements[edit | edit source]
Peer reviewer of International Symposium on Sustainable Systems and Technology (ISSST) 2022 Conference, Pittsburgh (PA), USA.
Technical Skills[edit | edit source]
Programming[edit | edit source]
Python, MySQL, AMPL, LaTex, Git
Softwares[edit | edit source]
QGIS, Pvsyst, JMP
Certificates[edit | edit source]
- Machine Learning with Python-From Linear Models to Deep Learning - Massachusetts Institute of Technology (MITx)
- The Ultimate MySQL Bootcamp - Udemy