ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
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Omneya Attallah received her B.Sc. and M.Sc. degrees in 2006 and 2009, respectively from the electronics and communications engineering department in the Arab Academy for Science, Technology, and Maritime Transport (AASTMT), Alexandria, Egypt. She received a full scholarship from the AASTMT for her B.Sc. and M.Sc. studies. She was the first in her class in the B.Sc degree. She received her Ph.D. degree in electrical end electronic engineering in 2016 from Aston University, Birmingham, UK. From 2008 to 2011 she was a teaching and research assistant with the department of electronics and communication engineering, AAST. From 2011 to 2015, she was a Ph.D. student at the school of engineering and applied sciences, Aston University, Birmingham, UK. From 2016 to 2020, she was working as an assistant professor teaching and researching at the electronics and communications engineering department in the AAST, Alexandria, Egypt. Since 2020, she has been an associate professor at the same department. She is a reviewer of IEEE access journal, Scientific Reports journals by Nature, and Journal of Ambient Intelligence and Humanized computing by springer and several other reputable journals in Springer, MDPI, and Wiley publishers. She is currently a mentor at Neuromatch Academy. Her current research interests include signal/image processing, biomedical engineering, biomedical informatics, neuroinformatics, pattern recognition, machine/deep learning, and data mining.