S. Pardis Hajiseyedrazi

Papers

Total Citations

113

H-Index

About

S. Pardis Hajiseyedrazi is a researcher specializing in the intersection of neuroscience and artificial intelligence, with a particular focus on brain-inspired learning mechanisms in artificial neural networks (ANNs). Her work critically examines the fundamental differences between how biological neural systems and conventional ANNs operate, exploring how insights from the brain can be leveraged to advance machine learning architectures and algorithms. Her most notable contribution, "Brain-inspired Learning in Artificial Neural Networks: A Review," has made a significant impact in the field, accumulating over 108 citations since its 2024 publication. This comprehensive review spans diverse AI application domains — including image and speech generation, game playing, and robotics — positioning it as an important reference for researchers seeking to bridge the gap between biological cognition and computational intelligence. The earlier 2023 version of this work further demonstrates her sustained commitment to synthesizing and communicating progress in this rapidly evolving field. Hajiseyedrazi's research is particularly relevant for students and practitioners interested in neuromorphic computing, cognitive architectures, and the next generation of biologically plausible AI systems. Her scholarly contributions have established her as an emerging voice in the conversation about making artificial intelligence more efficient, adaptable, and aligned with the principles of natural intelligence.