The Associate Head of the Communications Engineering Department for Administrative Affairs, Lecturer Dr. Qusay Salem Tawfiq, published a scientific research entitled (Density estimation of SARS-CoV 2 spike proteins using super-pixels segmentation technique). This research proposes a modern method for pictorial analysis of medicine that uses a technique (super-pixels segmentation)

To estimate the density of proteins present on the surface of pneumonia viruses, which are the cause of transmission and infection of healthy cells in the human body. In this research, images of the virus (SARS Cove 2) taken using the nanometer technique were adopted using the electron microscope. The density of proteins is one of the most important factors - to determine the severity of the infection, the extent of the development of the disease diagnosis, as well as the level of treatment and the patient's recovery after undergoing the approved treatment protocols. Therefore, this research is of great scientific importance that can be used in diagnosis and monitoring the level of recovery by adopting a rapid technique in the image analysis of the virus. The research has been published in the journal Applied soft computing Which is issued by the international publishing house Elsevier with an impact factor of 8.263 and is located in the first quarter Q1 within the Clarivate site-score index of 12.4.