Exploring machine learning to hardware implementations for large data rate x-ray instrumentation. - Mohammad Mehdi Rahimifar; Quentin Wingering; Berthié Gouin-Ferland; Hamza Ezzaoui Rahali; Charles-Étienne Granger; Audrey C. Therrien (Mach. Learn. Sci. Technol., 2023)

Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II. - Mohammad Mehdi Rahimifar; Quentin Wingering; Berthié Gouin-Ferland; Ryan Coffee; Audrey C. Therrien (Mach. Learn. Sci. Technol., 2024)

Deep transfer learning approach for digital circuits vulnerability analysis. - Mohammad Mehdi Rahimifar; Hadi Jahanirad; Mohammad Fathi (Expert Syst. Appl., 2024)

wa-hls4ml and lui-gnn: A Benchmark and GNN based Surrogate Model for hls4ml Resource and Latency Estimation. - Benjamin Hawks; Dennis Plotnikov; Nhan Tran; Karla Tame-Narvaez; Mohammad Mehdi Rahimifar; Hamza Ezzaoui Rahali; Audrey C. Therrien; Giuseppe Di Guglielmo; Javier Duarte; Vladimir Loncar (FPGA, 2025)

rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA. - Mohammad Mehdi Rahimifar; Hamza Ezzaoui Rahali; Audrey C. Therrien (Mach. Learn. Sci. Technol., 2025)