Irshad Mohammed has recently joined Coventry Computer as a software development engineer where he is responsible for the research and development of advanced machine learning algorithms with an emphasis on deep neural networks.
Irshad holds a PhD in extra-galactic astrophysics and cosmology from the University of Zurich, Switzerland and a Masters in Astrophysics from the University of Bonn, Germany. Prior to joining Coventry, he held a post-doctoral research position at Fermi National Accelerator Laboratory (Fermilab) in Greater Chicago Area where he worked towards mathematical modelling, analysis of big data, numerical simulations, high-performance computing and several deep learning applications into the field of cosmology. His research directs towards understanding the dynamics and energy content of the Universe, also its origin and evolution. He has been associated with projects endeavoring to forecast the systematics and predict the results of some future space telescope missions like eRosita, DES (Dark Energy Survey), LSST (Large Synoptic Survey Telescope), Euclid etc. He authored nearly a dozen scientific papers published in various international journals.
His current research interests center more towards advanced machine learning algorithms, particularly deep neural networks, to solve complex problems in computer vision and natural language processing.