farideh bazangani

write a story about each airline based on the events of airline and predict future. - Web scraping with python - Optical character recognition (OCR) with python (pytesseract ) - Analysis data and data visualization (Tableau) - Predict some features of Airlines by machine learning method

Maximum power point tracking in solar farm (100 kw solar systems) - Study Optimal Configuration for photovoltaic system - Implementation methods like genetic algorithm, ANN, particle swarm intelligent , fuzzy logic to find the maximum power point - Study about advantage and disadvantage of methods based on system

Master 1: - Machine learning fundamental - python programing - R programing - Introduction of data mining - Case study Master 2: (Erasmus/Exchange) - Deep Learning - Bayesian Learning - high dimension data - Research project / Internship

- Artificial intelligent ( feedforward neural network, Bayesian network) - Fault detection - Optimal control - Evolutionary algorithm (genetic algorithm, particle swarm optimization, simulated annealing,...) - Nonlinear control and multivariable control - Modern control