Seyed Ali Ghorashi

University of East London, Shahid Beheshti University

Papers

Total Citations

H-Index

About

Seyed Ali Ghorashi is a researcher focused on the intersection of wireless sensing and human-computer interaction, with key contributions in WiFi-based human activity recognition (HAR). His work addresses the challenge of using Channel State Information (CSI) from wireless signals to detect and classify human movements without requiring wearable sensors or cameras. His most cited paper, "CSI-Based Human Activity Recognition using Convolutional Neural Networks" (2021, 28 citations), demonstrates how deep learning can effectively interpret WiFi signal variations caused by human motion, offering a privacy-preserving alternative for applications in health monitoring, smart homes, and robotics. Ghorashi has also explored security in wireless sensor networks, as seen in his work on pruning stages for secure localization (2012, 5 citations), and continues to refine HAR techniques, such as applying Canny edge detectors to CSI data (2024). His research is particularly notable for advancing non-intrusive sensing technologies that balance accuracy with user privacy, making him a contributor to the growing field of device-free human sensing.