Mohammad Loni, Doctoral student

Mohammad Loni is a researcher (Licentiate Degree) at the School of Innovation, Design, and Engineering at Mälardalen University since October 2017. He received his B.Sc. degree in computer hardware engineering and the M.Sc. degree in computer science from Shiraz University in 2017. He had collaboration in domestic industrial projects focusing on FPGA based radar emulators and embedded signal processing.

Currently, he is a member of the Dependable Platforms for Autonomous Systems and Control (DPAC), Deep Learning Accelerator on Commercial Programmable Devices (DeepMaker), and Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems (FAST-ARTS) projects at Mälardalen University. He is mainly working on energy efficient designing neural network architecture for embedded systems. 

My research interests are including deep learning, automated machine learning (AutoML), and heterogeneous embedded systems.