Tuesday, 14 December 2021 13:19

Webinar on Covid-19 analysis, diagnosis through machine learning conducted

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The IT Department, in collaboration with the Research and Consultancy Committee, conducted a webinar entitled “Covid-19 Analysis and Diagnosis through Machine Learning” on November 30, 2021 via Google Meet.

The guest speaker was Dr. Mohammad “Sufian” Badar, hailed as an experienced educator and researcher. He taught in the Department of Bioengineering at the University of California, Riverside, CA, USA; became an Analytics Architect in Century Link for more than a year in Denver, CO, USA; and possessed an excellent academic record in MS Molecular Science and Nanotechnology and Ph.D. in Engineering from Louisiana Tech University Ruston, LA, USA, respectively.

Dr. Badar presented his research on a machine learning model, which predicts the Covid infection based on symptoms only. Also, the model diagnoses patients according to the severity of their symptoms (mild, moderate, or severe), and if they have had contact with a Covid patient. Currently, he and his team, are trying to increase the accuracy of the model’s prediction results.

The webinar provided insightful research ideas as well research opportunity collaboration to the participants.

Additional Info

  • Academic Year: AY 2021-2022
  • Semester: 1st Semester
Read 867 times Last modified on Sunday, 30 January 2022 09:16

 

  • University of Technology and Applied Sciences - Salalah
  • Address: Thumrait Rd. Salalah, Dhofar, Sultanate of Oman, P.O. Box 608, Postal Code. 211
  • Phone: +968 232 23402
  • Fax: +968 232 23400
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