Machine Learning Researcher

He is a postdoctoral researcher at Instituto de Investigación Biomédica e Innovación de la provincia de Cádiz (INiBICA), Cadiz, Spain.

Bahram Jafrasteh received his doctoral degree in 2018 from Isfahan University of Technology, Iran. While his academic experiences are diverse, research in artificial intelligence methods has definitely been one of the most important components of his research. He has always committed himself to scientific research. This made an academic, creative, and curious mindset for him. He received his bachelor degree from the University of Tehran, Iran, in 2008. In fall 2009, he joined a master's program at Isfahan university of technology and started his research in geophysics. However, the main focus of his studies was on mathematical and machine learning methods. He developed a meta-heuristic algorithm to extract information from the ground-penetrating radar data. He received his master's degree in spring 2012. In the same year, he joined the doctoral program of Isfahan University of Technology (IUT). As he always was curious about machine learning methods and their applications, he chose to work on a project entitled "Machine learning methods to improve ore grade estimation". He gathered experiences on more advanced probabilistic machine learning methods, Bayesian optimization to explore optimal sampling location, and metaheuristic optimization such as GA, PSO, ABC, CMAES, etc. He has published papers in scientific journals such as Neurocomputing and Computers and Geosciences, computational Geosciences. His main focuses are probabilistic machine learning algorithms, Gaussian processes (GPs), deep GPs, variational learning, convolutional neural networks (CNNs), and their application to real-life problems, i.e. medical diagnostics, geoscience, biology, etc.