Robust control of a piezoelectric stage under thermal and external load disturbances. - Mohammad Motamedi; Seyed Mehdi Rezaei; Mohammad Zareinejad; Mozafar Saadat (ACC, 2009)

Robust adaptive control of a micro telemanipulation system using sliding mode-based force estimation. - Mohammad Motamedi; Gholamreza Vossoughi; Mohammad Taghi Ahmadian; Seyed Mehdi Rezaei; Mohammad Zareinejad; Mozafar Saadat (ACC, 2010)

Design space exploration of FPGA-based Deep Convolutional Neural Networks. - Mohammad Motamedi; Philipp Gysel; Venkatesh Akella; Soheil Ghiasi (ASP-DAC, 2016)

Hardware-oriented Approximation of Convolutional Neural Networks. - Philipp Gysel; Mohammad Motamedi; Soheil Ghiasi (CoRR, 2016)

Fast and Energy-Efficient CNN Inference on IoT Devices. - Mohammad Motamedi; Daniel D. Fong; Soheil Ghiasi (CoRR, 2016)

Cappuccino: Efficient Inference Software Synthesis for Mobile System-on-Chips. - Mohammad Motamedi; Daniel D. Fong; Soheil Ghiasi (CoRR, 2017)

Machine Intelligence on Resource-Constrained IoT Devices: The Case of Thread Granularity Optimization for CNN Inference. - Mohammad Motamedi; Daniel D. Fong; Soheil Ghiasi (ACM Trans. Embed. Comput. Syst., 2017)

PLACID: A Platform for FPGA-Based Accelerator Creation for DCNNs. - Mohammad Motamedi; Philipp Gysel; Soheil Ghiasi (ACM Trans. Multim. Comput. Commun. Appl., 2017)

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks. - Philipp Gysel; Jon J. Pimentel; Mohammad Motamedi; Soheil Ghiasi (IEEE Trans. Neural Networks Learn. Syst., 2018)

Resource-Scalable CNN Synthesis for IoT Applications. - Mohammad Motamedi; Felix Portillo; Mahya Saffarpour; Daniel D. Fong; Soheil Ghiasi (CoRR, 2019)

Cappuccino: Efficient CNN Inference Software Synthesis for Mobile System-on-Chips. - Mohammad Motamedi; Daniel D. Fong; Soheil Ghiasi (IEEE Embed. Syst. Lett., 2019)

Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms. - Mohammad Motamedi; Felix Portillo; Daniel D. Fong; Soheil Ghiasi (ACM Trans. Embed. Comput. Syst., 2019)

Octopus: Context-Aware CNN Inference for IoT Applications. - Mohammad Motamedi; Felix Portillo; Mahya Saffarpour; Daniel D. Fong; Soheil Ghiasi (IEEE Embed. Syst. Lett., 2020)

A Data-Centric Approach for Training Deep Neural Networks with Less Data. - Mohammad Motamedi; Nikolay Sakharnykh; Tim Kaldewey (CoRR, 2021)

PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions. - Ehsan Gholami; Mohammad Motamedi; Ashwin Aravindakshan (KDD, 2022)

Scalable CNN Synthesis for Resource-Constrained Embedded Platforms. - Mohammad Motamedi; Felix Portillo; Mahya Saffarpour; Daniel D. Fong; Soheil Ghiasi (IEEE Internet Things J., 2022)