معرفی
Seyed Ghorashi is Reader (equivalent to Associate Professor) at the University of East London's Research Institute for Architecture, Computing & Engineering. His research specializes in wireless sensor networks, human activity recognition using Wi-Fi signals, indoor localization, and radar signal processing. Major contributions include CSI-based activity recognition systems, fingerprint localization algorithms, and MIMO radar designs.
Recent publications focus on enhancing activity recognition accuracy through edge detection and autoencoders, developing efficient indoor positioning systems using deep learning, and optimizing MIMO radar configurations. Research demonstrates consistent innovation in signal processing and machine learning applications for sensing technologies.
Professional service includes editorial roles and conference committees. Teaching and supervision activities center on computer networks, machine learning applications, and wireless communication systems at postgraduate levels, though specific course details are unavailable.
