U. Rajendra Acharya
University of Southern Queensland, Ngee Ann Polytechnic, Asia University
Papers
4
Total Citations
505
H-Index
3
About
U. Rajendra Acharya is a pioneering researcher in biomedical signal processing, artificial intelligence, and healthcare informatics, with a focus on emotion recognition, remote sensing, and neural signal analysis. His major contributions include advancing automated diagnostic systems through deep learning and feature selection techniques. Notably, his systematic review on emotion recognition and artificial intelligence (2023) has garnered 408 citations, highlighting its impact in affective computing and healthcare applications. He has also developed efficient models like multileveled MobileNetV2 with DWT for remote sensing image classification (60 citations) and deep neural networks for classifying grasp types using sEMG signals (35 citations). His work on multi-objective squirrel search algorithms for EEG feature selection further underscores his innovation in optimizing neural data analysis. With a prolific publication record and high citation impact, Acharya’s research bridges AI and clinical diagnostics, offering scalable solutions for real-world health monitoring and human-computer interaction. His achievements inspire students and researchers exploring the intersection of machine learning and physiological signal processing.
Research Focus
Key Achievements
Top Papers
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- 4Multi-objective squirrel search algorithm for EEG feature selection2 citations · 2023