I am a PhD candidate at the Artificial Intelligence Research Centre. My PhD work is in the domain of neuroimaging and martificial intelligence. I have explored different machine learning and deep learning methods in my work. I enjoy teaching and research.
Prior to joining City, University of London, I completed my MSc at the National University of Sciences and Technology (NUST), Pakistan.
Interests: Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), auto-encoders, Generative Adversarial Networks (GANs).
I am a PhD candidate at the Artificial 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 joining 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 as a graduate teaching assistant for different modules such as Mathematics in computing, Operating System, System Architecture, introduction to algorithms, Power System Design and Engineering Mathematics in the City University of London.