He is a Ph.D. student at the School of Innovation, Design, and Engineering (IDT) at Mälardalen University since January 2019.
He received his B.Sc. degree in computer hardware engineering from Iran Univerity of Science and Technology (IUST) and the M.Sc. degree in computer architecture from Tehran University (UT).
He is a member of the Heterogeneous Systems - Software/Hardware Integration (HERO) project at Mälardalen University.
His area of research at MDH is mainly focused on high level synthesis and heterogeneous systems. Currently he is mainly working on how to automate the hardware/software co-design process and proper selection of code sections to be accelerated on hardware part regarding latency, area and power consumption.
TAS:Ternarized Neural Architecture Search for Resource-Constrained Edge Devices (Mar 2022) Mohammad Loni, Hamid Mousavi , Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin Design, Automation and Test in Europe Conference (DATE'22)
SHiLA: Synthesizing High-Level Assertions for High Speed Validation of High-Level Designs Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS'20)
Adjustable self-healing methodology for accelerated functions in heterogeneous systems Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper Euromicro Conference on Digital System Design (DSD'20)
DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper International Conference on Electronics Circuits and Systems (ICECS'20)
AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision Mohammad Riazati, Masoud Daneshtalab, Mikael Sjödin, Björn Lisper International Conference on Artificial Intelligence Circuits and Systems (AICAS'22)
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