Hamed Fouladi

Hamed Fouladi serves as the Chief Data Scientist at Bluware, beginning in May 2019, and previously held the position of Senior Data Scientist within the same company, contributing to machine learning projects focused on damage detection in buildings using drone monitoring. Prior to Bluware, Hamed worked as a Senior Scientific Programmer at Kalkulo AS in May 2019 and held a Research Fellow position at the Norwegian University of Science and Technology (NTNU) from August 2014 to September 2018, where research centered on sparse recovery algorithms for ill-posed inverse problems, particularly applicable to multiple measurement vector (MMV) scenarios like heart rate estimation from video data. Additionally, Hamed was a Visiting Research Scholar at the University of California, San Diego's Jacobs School of Engineering from September 2016 to May 2017, specializing in Sparse Signal Recovery, Sparse Bayesian Learning, and Machine Learning. Hamed completed a Doctor of Philosophy (PhD) in Signal Processing at NTNU between 2014 and 2018 and earned a degree from Amirkabir University of Technology - Tehran Polytechnic from 2009 to 2012.