Rate My Professor S Poonguzhali

Dr. Poonguzhali's research specializations include human movement analysis and biomedical instrumentation, particularly electromyography (EMG) signal analysis for assistive devices, muscle strength prediction, and gait characterization. She has published over 64 works, comprising 31 journal articles, 3 book chapters, and 29 conference proceedings, with key publications such as 'Gaussian mixture model based clustering of manual muscle testing grades using surface electromyogram signals' (2017), 'Performance improvement and complexity reduction in the classification of EMG signals with mRMR-based CNN-KNN combined model' (2022), 'Biomechanical Characterization of Human GAIT Using EMG Parameters' (2022), 'KNN Based GA for Performance Improvement in Neck Movement Classification of EMG signal' (2022), and 'Boosting EMG classification: a hybrid NCA-driven evolutionary optimization approach for high accuracy and efficiency' (2025). Her work has garnered 687 citations on Google Scholar with an h-index of 15 and 464 on Scopus. She received the Distinguished Researcher award from CSRC, Anna University in 2022, has supervised multiple Ph.D. theses from 2017 to 2022, and leads eight research projects, including the DST-SERB funded 'Design and development of wearable gait analysis system' and 'Productization and Clinical Evaluation of Biopotential.'