Mohammad Loni is a Ph.D. student 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 is a member of the Dependable Platforms for Autonomous Systems and Control (DPAC) and Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems (FAST-ARTS) projects at Mälardalen University.

He had collaboration in domestic industrial projects focusing on FPGA based radar emulators and embedded signal processing.

His research interests are real-time embedded systems, high-throughput FPGA computing, and heterogeneous architectures.

Project Title	Status
DeepMaker: Deep Learning Accelerator on Commercial Programmable Devices	active
DPAC - Dependable Platforms for Autonomous systems and Control	active
FAST-ARTS: Fast and Sustainable Analysis Techniques for Advanced Real-Time Systems	active

MSc theses supervised (or examined):

Thesis Title	Status
A Framework for Testing Redundant Components In Software and Hardware	in progress

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