Dr. Erfan Naghsh | Biomedical Signal | Excellence in Research Award
Dr. Erfan Naghsh | Biomedical Signal | University of Isfahan | Iran
Dr. Erfan Naghsh is a male researcher with established expertise in electrical and biomedical engineering, recognized for his interdisciplinary contributions to biomedical sensing, neuroscience-oriented signal processing, and intelligent health monitoring systems. He holds a doctoral degree in electrical engineering with advanced specialization in EEG-based neurological disorder analysis, supported by graduate-level training in biomedical engineering and foundational education in electrical engineering. His academic formation has enabled him to bridge theoretical signal processing with practical biomedical applications, particularly in neurodegenerative disease detection, epileptic seizure localization, and multimodal EEG–MRI data fusion. Professionally, Dr. Erfan Naghsh has served in postdoctoral, research associate, and research assistant roles across leading academic institutions, contributing to internationally collaborative research projects focused on advanced sensor data analytics, neural signal interpretation, and clinical decision-support systems. His teaching portfolio spans undergraduate and postgraduate instruction in biomedical signal processing, digital signal processing, control systems, electronics, robotics, and laboratory-based engineering education, reflecting sustained commitment to academic mentorship and workforce development. His research interests include biomedical signal processing, neuroscience-driven sensing technologies, stochastic signal modeling, blind source separation, bioinstrumentation, and intelligent systems for early disease diagnosis.
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Featured Publications
The Effect of High Frequency Electric Field on Enhancement of Chondrogenesis in Human Adipose-Derived Stem Cells
– Iranian Journal of Basic Medical Sciences, 2014 · 55 Citations
Induction of Chondrogenic Differentiation of Human Adipose-Derived Stem Cells by Low Frequency Electric Field
– Advanced Biomedical Research, 2016 · 48 Citations
Spatial Analysis of EEG Signals for Parkinson’s Disease Stage Detection
– Signal, Image and Video Processing, 2020 · 31 Citations
Dual Ni/Co-Hemin Metal–Organic Framework–PrGO for High-Performance Asymmetric Hybrid Supercapacitor
– Scientific Reports, 2023 · 12 Citations
Unified Left Eigenvector (ULEV) for Blind Source Separation
– Electronics Letters, 2022 · 7 Citations