I am a PhD candidate at the Artificial Intelligence Research Centre, at City, University of London. Currently, I am developing machine learning algortihms for forecasting renewable energy output, specifically on applications for Probabilistic Microgrids optimization, under the supervision of Eduardo Alonso and Dimitra Apostolopoulou.
Before starting my Ph.D., I was involved in both academia and industry. I worked as a researcher for Iran Power Transmission, Generation and Distribution Company (TAVANIR). I am experienced with different industrial software such as CYMDIST, DIgSILENT, ArcGIS, AutoCAD, NEPLAN, DIALux as well as academic software such as MATLAB and GAMS.
I am also a graduate teaching assistant for different modules such as Mathematics in Computing, Operating Systems, Systems Architecture, Introduction to Algorithms, Power System Design and Engineering Mathematics at City, University of London.
I am a PhD student researching the effective use of computer vision and machine learning in Magnetic Resonance Spectroscopy imaging under the supervision of Eduardo Alonso and Carlos Reyes-Adasoro. I have a vested interest in the generation of data through different means and have spent a large proportion of my time in various deep learning classification models. Outside of academia you can find me either at the gym or playing board games somewhere.
My thesis title is: Exploring the use of Computer Vision and Machine Learning in improving the non-invasive classification rate of brain tumours through Magnetic Resonance Spectroscopy.
I chaired for the British Machine Vision Association a One-Day Symposium entitled Generating data in computer vision and machine learning.