Muhammad Usman Joyia

  • Department of Computer Science
  • (041) 111-128-128
  • Ext: 199


Muhammad Usman Joyia is post graduated in Computer Science from FAST NUCES. He defended his thesis under the title: DiMRec – A Novel Content Based Diverse Movie Recommender System. His areas of interest are Recommender Systems, Data Mining and Predictive Analytics.


M.S (Computer Science) FAST–NUCES, Chiniot Faisalabad, 2019

B.S (Computer Science) FAST–NUCES, Chiniot Faisalabad, 2016


Saleha Javed, Muhammad Usman, Fredrik Sandin, Marcus Liwicki, and Hamam Mokayed, “Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT”, Multidisciplinary, (IF.3.9), October 12, 2023.

Tanzeel Zaidi, Muhammad Usman, Muhammad Umar Aftab, Hanan Aljuaid, and Yazeed Yasin Ghadi, “Fabrication of Flexible Role-Based Access Control based on Blockchain for Internet of Things Use Cases”, Multidisciplinary, IEEE and United State, (IF=3.9), September 22, 2023.

Samia Aziz, Muhammad Shahzad Sarfraz, Muhammad Usman, Muhammad Umar Aftab, and Hafiz Tayyab Rauf, “Geo-Spatial Mapping of Hate Speech Prediction in Roman Urdu”, (Mathematics, Computer Science), MDPI & Switzerland, (IF. 2.595), 2023.

Collaborations at National and International Level

Detail of Funded Projects