High-throughput configurable SIMON architecture for flexible security. - Saeideh Sheikhpour; Mohammad Hassani Sadi; Ali Mahani 001 (Microelectron. J., 2021)

FPGA-based Trainable Autoencoder for Communication Systems. - Jonas Ney; Sebastian Dörner; Matthias Herrmann; Mohammad Hassani Sadi; Jannis Clausius; Stephan ten Brink; Norbert Wehn (FPGA, 2022)

Optimization of DRAM based PIM Architecture for Energy-Efficient Deep Neural Network Training. - Chirag Sudarshan; Mohammad Hassani Sadi; Christian Weis; Norbert Wehn (ISCAS, 2022)

A Critical Assessment of DRAM-PIM Architectures - Trends, Challenges and Solutions. - Chirag Sudarshan; Mohammad Hassani Sadi; Lukas Steiner; Christian Weis; Norbert Wehn (SAMOS, 2022)

A Weighted Current Summation Based Mixed Signal DRAM-PIM Architecture for Deep Neural Network Inference. - Chirag Sudarshan; Taha Soliman; Jan Lappas; Christian Weis; Mohammad Hassani Sadi; Matthias Jung 001; Andre Guntoro; Norbert Wehn (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Novel adaptive quantization methodology for 8-bit floating-point DNN training. - Mohammad Hassani Sadi; Chirag Sudarshan; Norbert Wehn (Des. Autom. Embed. Syst., 2024)