A computer vision based candidate for functional balance test. - Alican Nalci; Alireza Khodamoradi; Ozgur Balkan; Fatta Nahab; Harinath Garudadri (EMBC, 2015)

Real-time Automatic Modulation Classification using RFSoC. - Stephen Tridgell; David Boland; Philip H. W. Leong; Ryan Kastner; Alireza Khodamoradi; Siddhartha 003 (IPDPS Workshops, 2020)

S2N2: A FPGA Accelerator for Streaming Spiking Neural Networks. - Alireza Khodamoradi; Kristof Denolf; Ryan Kastner (FPGA, 2021)

ASLR: An Adaptive Scheduler for Learning Rate. - Alireza Khodamoradi; Kristof Denolf; Kees A. Vissers; Ryan Kastner (IJCNN, 2021)

Hardware-efficient Residual Networks for FPGAs. - Olivia Weng; Alireza Khodamoradi; Ryan Kastner (CoRR, 2021)

Benchmarking vision kernels and neural network inference accelerators on embedded platforms. - Murad Qasaimeh; Kristof Denolf; Alireza Khodamoradi; Michaela Blott; Jack Lo; Lisa Halder; Kees A. Vissers; Joseph Zambreno; Phillip H. Jones (J. Syst. Archit., 2021)

$O(N)$O(N)-Space Spatiotemporal Filter for Reducing Noise in Neuromorphic Vision Sensors. - Alireza Khodamoradi; Ryan Kastner (IEEE Trans. Emerg. Top. Comput., 2021)

Reshaping Deep Neural Networks for Efficient Hardware Inference - Alireza Khodamoradi (2021)

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers. - Gagandeep Singh 002; Mohammed Alser; Alireza Khodamoradi; Kristof Denolf; Can Firtina; Meryem Banu Cavlak; Henk Corporaal; Onur Mutlu (CoRR, 2022)

Adapting Skip Connections for Resource-Efficient FPGA Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (FPGA, 2023)

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation. - Gagandeep Singh 002; Alireza Khodamoradi; Kristof Denolf; Jack Lo; Juan Gómez-Luna; Joseph Melber; Andra Bisca; Henk Corporaal; Onur Mutlu (ICS, 2023)

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (CoRR, 2023)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)

Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks. - Alireza Khodamoradi; Kristof Denolf; Eric Dellinger (CoRR, 2024)

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; G. Abarajithan; Nojan Sheybani; Andres Meza 001; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (ACM Trans. Reconfigurable Technol. Syst., 2024)