Low-power multiplier with static decision for input manipulation. - Mohammad Riazati; Ashkan Sobhani; M. Mottaghi-Dastjerdi; Ali Afzali-Kusha; Ali Khaki-Firooz (ISCAS, 2006)

Distributing Congestions in NoCs through a Dynamic Routing Algorithm based on Input and Output Selections. - Masoud Daneshtalab; A. Pedram; Mohammad Hossein Neishaburi; Mohammad Riazati; Ali Afzali-Kusha; Siamak Mohammadi (VLSI Design, 2007)

Generating RTL Synthesizable Code from Behavioral Testbenches for Hardware-Accelerated Verification. - Mohammad Reza Kakoee; Mohammad Riazati; Siamak Mohammadi (DSD, 2008)

Enhancing the Testability of RTL Designs Using Efficiently Synthesized Assertions. - Mohammad Reza Kakoee; Mohammad Riazati; Siamak Mohammadi (ISQED, 2008)

An incentive mechanism to promote honesty among seller agents in electronic marketplaces. - Mohammad Riazati; Mehdi Shajari; Siavash Khorsandi (Electron. Commer. Res., 2019)

SHiLA: Synthesizing High-Level Assertions for High-Speed Validation of High-Level Designs. - Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin; Björn Lisper (DDECS, 2020)

Adjustable self-healing methodology for accelerated functions in heterogeneous systems. - Mohammad Riazati; Tara Ghasempouri; Masoud Daneshtalab; Jaan Raik; Mikael Sjödin; Björn Lisper (DSD, 2020)

DeepHLS: A complete toolchain for automatic synthesis of deep neural networks to FPGA. - Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin; Björn Lisper (ICECS, 2020)

AutoDeepHLS: Deep Neural Network High-level Synthesis using fixed-point precision. - Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin; Björn Lisper (AICAS, 2022)

TAS: Ternarized Neural Architecture Search for Resource-Constrained Edge Devices. - Mohammad Loni; Hamid Mousavi; Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin (DATE, 2022)

DeepFlexiHLS: Deep Neural Network Flexible High-Level Synthesis Directive Generator. - Mohammad Riazati; Masoud Daneshtalab; Mikael Sjödin; Björn Lisper (NorCAS, 2022)

DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators. - Mahdi Taheri; Mohammad Riazati; Mohammad Hasan Ahmadilivani; Maksim Jenihhin; Masoud Daneshtalab; Jaan Raik; Mikael Sjödin; Björn Lisper (ISQED, 2023)

DeepKit: a multistage exploration framework for hardware implementation of deep learning. - Mohammad Riazati (2023)