Large-to-Small: Energy Consumption Reduction of Training the Fully Connected Layers. - Farzad Vazinram (AIAI (3), 2025)

Small-to-Large: Proportional Uniform Distribution Weights Transferring to Reduce Energy Consumption of Training the Models with Fully Connected Layers. - Farzad Vazinram (ICCSA (3), 2025)

Data driven approach towards more efficient Newton-Raphson power flow calculation for distribution grids. - Shengyuan Yan; Farzad Vazinram; Zeynab Kaseb; Lindsay Spoor; Jochen Stiasny; Betul Mamudi; Amirhossein Heydarian Ardakani; Ugochukwu Orji; Pedro P. Vergara; Yu Xiang; Jerry Guo (CoRR, 2025)