Assistant Professor | Imam Reza International University | Iran
Dr. Ateke Goshvarpour, affiliated with Imam Reza International University, Mashhad, Iran, is a distinguished researcher specializing in biomedical signal processing, cognitive neuroscience, and computational modeling of brain activity. With a prolific research portfolio comprising 70 publications and over 1,095 citations across 727 scholarly documents, Dr. Goshvarpour has established a strong global reputation for her contributions to the understanding and classification of cognitive and mental disorders using advanced signal analysis techniques.Her recent works focus on EEG-based diagnosis of schizophrenia, emotion recognition, and cognitive assessment, integrating concepts from quantum-inspired computation, chaotic dynamics, and neural connectivity analysis. Notable studies such as “Enhancing Schizophrenia Diagnosis through EEG Frequency Waves and Information-Based Neural Connectivity Feature Fusion” and “Quantum-Inspired Feature Extraction Model for Enhanced Schizophrenia Detection” highlight her innovative approach in bridging neuroscience with machine learning and chaos theory. Through the development of spectral–spatiotemporal models and graph-based signal representations, she provides novel pathways for noninvasive brain disorder diagnostics and affective computing.Collaborating with a network of 21 co-authors, Dr. Goshvarpour demonstrates an interdisciplinary outlook, integrating engineering, data science, and psychology to improve diagnostic precision and healthcare outcomes. Her h-index of 20 reflects both the impact and consistency of her research influence. Beyond academia, her work contributes significantly to societal well-being by enabling early and accurate detection of neurological conditions and enhancing emotional intelligence systems.Dr. Goshvarpour’s dedication to advancing the frontier of biomedical and cognitive signal processing underscores her role as a leading figure in computational neuroscience research, fostering a deeper understanding of human cognition through data-driven and bio-inspired intelligence frameworks.
Featured Publications
1.Goshvarpour, A. (2025). Enhancing schizophrenia diagnosis through EEG frequency waves and information-based neural connectivity feature fusion. Biomedical Signal Processing and Control.
2.Goshvarpour, A. (2025). Quantum-inspired feature extraction model from EEG frequency waves for enhanced schizophrenia detection. Chaos, Solitons & Fractals. Cited By : 1
3.Goshvarpour, A. (2025). Cognitive-inspired spectral spatiotemporal analysis for emotion recognition utilizing electroencephalography signals. Cognitive Computation. Cited By : 4
4.Goshvarpour, A. (2025). Asymmetric measures of polar Chebyshev chaotic map for discrete/dimensional emotion recognition using PPG. Biomedical Signal Processing and Control. Cited By : 1
5.Goshvarpour, A. (2025). Diagnosis of cognitive and mental disorders: A new approach based on spectral–spatiotemporal analysis and local graph structures of electroencephalogram signals. Brain Sciences. Cited By : 3
Dr. Ateke Goshvarpour’s pioneering research in biomedical signal processing and neurocomputational modeling is transforming the early detection of mental and cognitive disorders. By integrating EEG analytics, chaos theory, and AI-driven methods, her work bridges neuroscience and technology—advancing precision diagnostics, enhancing emotional intelligence systems, and fostering global innovation in digital health and mental well-being.