Automatic mapping of AF3 specifications to ARM cortex-M based FRDM platfrom. - Mohammadhossein Askarihemmat; Otmane Aït Mohamed; Mounir Boukadoum (ICM, 2014)

Formal modeling, verification and implementation of a train control system. - Mohammadhossein Askarihemmat; Otmane Aït Mohamed; Mounir Boukadoum (ICM, 2015)

U-Net Fixed-Point Quantization for Medical Image Segmentation. - MohammadHossein AskariHemmat; Sina Honari; Lucas Rouhier; Christian S. Perone; Julien Cohen-Adad; Yvon Savaria; Jean-Pierre David (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

RISC-V Barrel Processor for Accelerator Control. - MohammadHossein AskariHemmat; Olexa Bilaniuk; Sean Wagner; Yvon Savaria; Jean-Pierre David (FCCM, 2020)

Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. - Anush Sankaran; Olivier Mastropietro; Ehsan Saboori; Yasser Idris; Davis Sawyer; MohammadHossein AskariHemmat; Ghouthi Boukli Hacene (AAAI, 2021)

RISC-V Barrel Processor for Deep Neural Network Acceleration. - MohammadHossein AskariHemmat; Olexa Bilaniuk; Sean Wagner; Yvon Savaria; Jean-Pierre David (ISCAS, 2021)

Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization. - Anush Sankaran; Olivier Mastropietro; Ehsan Saboori; Yasser Idris; Davis Sawyer; MohammadHossein AskariHemmat; Ghouthi Boukli Hacene (CoRR, 2021)

QReg: On Regularization Effects of Quantization. - MohammadHossein AskariHemmat; Reyhane Askari Hemmat; Alexander Hoffman; Ivan Lazarevich; Ehsan Saboori; Olivier Mastropietro; Yvon Savaria; Jean-Pierre David (CoRR, 2022)

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low Bit Quantization and Runtime. - Saad Ashfaq; MohammadHossein AskariHemmat; Sudhakar Sah; Ehsan Saboori; Olivier Mastropietro; Alexander Hoffman (CoRR, 2022)

BARVINN: Arbitrary Precision DNN Accelerator Controlled by a RISC-V CPU. - Mohammadhossein Askarihemmat; Sean Wagner; Olexa Bilaniuk; Yassine Hariri; Yvon Savaria; Jean-Pierre David (ASP-DAC, 2023)

DeepliteRT: Computer Vision at the Edge. - Saad Ashfaq; Alexander Hoffman; Saptarshi Mitra; Sudhakar Sah; MohammadHossein AskariHemmat; Ehsan Saboori (BMVC, 2023)

DeepGEMM: Accelerated Ultra Low-Precision Inference on CPU Architectures using Lookup Tables. - Darshan C. Ganji; Saad Ashfaq; Ehsan Saboori; Sudhakar Sah; Saptarshi Mitra; MohammadHossein AskariHemmat; Alexander Hoffman; Ahmed Hassanien; Mathieu Léonardon (CVPR Workshops, 2023)

Quark: An Integer RISC-V Vector Processor for Sub-Byte Quantized DNN Inference. - MohammadHossein AskariHemmat; Théo Dupuis; Yoan Fournier; Nizar El Zarif; Matheus A. Cavalcante; Matteo Perotti; Frank K. Gürkaynak; Luca Benini; François Leduc-Primeau; Yvon Savaria; Jean-Pierre David (ISCAS, 2023)

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference. - Théo Dupuis; Yoan Fournier; MohammadHossein AskariHemmat; Nizar El Zarif; François Leduc-Primeau; Jean-Pierre David; Yvon Savaria (NEWCAS, 2023)

MSPARQ: A RISC-V Vector Processor Array Optimized for Low-Resolution Neural Networks. - Elisabeth Humblet; Théo Dupuis; Yoan Fournier; MohammadHossein AskariHemmat; François Leduc-Primeau; Jean-Pierre David; Yvon Savaria (MWSCAS, 2024)

Polara-Keras2c: Supporting Vectorized AI Models on RISC-V Edge Devices. - Nizar El Zarif; MohammadHossein AskariHemmat; Théo Dupuis; Jean-Pierre David; Yvon Savaria (IEEE Access, 2024)

QGen: On the Ability to Generalize in Quantization Aware Training. - MohammadHossein AskariHemmat; Ahmadreza Jeddi; Reyhane Askari Hemmat; Ivan Lazarevich; Alexander Hoffman; Sudhakar Sah; Ehsan Saboori; Yvon Savaria; Jean-Pierre David (CoRR, 2024)