Babak received his B.Sc. in Mechanical Engineering from University of Tehran in 2012, and his M.Sc. in Thermal Sciences (Energy Conversion) from University of Tehran in 2015. He is currently pursuing Ph.D. in Mechatronic Systems Engineering at Simon Fraser University, working on development of novel mathematical models for studying fuel cells performance using machine learning algorithms and artificial neural network. Modeling and optimization of different energy conversion systems and introducing novel hybrid energy systems are the main areas of Babak’s research.
- Static modeling of Solid Oxide Fuel Cells (SOFC) using Artificial Neural Networks (ANN)
- Dynamic modeling of Solid Oxide Fuel Cells (SOFC) using modal analysis.
- Training an optimum ANN for fault diagnosis in fuel cell systems
- Designing inverse algorithms for evaluating different parameters in fuel cell systems
- Modeling and optimization of latent heat storage units for solar-assisted absorption chillers
- Optimization of catalyst distribution of PEMFCs
- Studying condensation heat transfer of R600a/POE/CuO nano-refrigerant
- Heat transfer enhancement of ferro-fluid flow using magnetic field
- Modeling static performance of SOFCs using multi-dimensional methods