• cHybriDroid: A Machine Learning-Based Hybrid Technique for Securing the Edge Computing 

      Maryam, Afifa; Ahmed, Usman; Aleem, Muhammad; Lin, Jerry Chun-Wei; Muhammad Arshad, Islam; Iqbal, Muhammad Azhar (Journal article; Peer reviewed, 2020)
      Smart phones are an integral component of the mobile edge computing (MEC) framework. Securing the data stored on mobile devices is very crucial for ensuring the smooth operations of cloud services. A growing number of ...
    • Evaluation of Congestion Aware Social Metrics for Centrality-Based Routing 

      Islam, Muhammad Arshad; Iqbal, Muhammad Azhar; Aleem, Muhammad; Halim, Zahid; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Opportunistic networks utilize pocket switching for routing where each node forwards its messages to a suitable next node. The selection of the forwarder node is crucial for the efficient performance of a routing protocol. ...
    • A load balance multi-scheduling model for OpenCL kernel tasks in an integrated cluster 

      Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam; Aleem, Muhammad (Peer reviewed; Journal article, 2020)
      Nowadays, embedded systems are comprised of heterogeneous multi-core architectures, i.e., CPUs and GPUs. If the application is mapped to an appropriate processing core, then these architectures provide many performance ...
    • A Machine-Learning-Based System for Prediction of Cardiovascular and Chronic Respiratory Diseases 

      Shah, Wajid; Aleem, Muhammad; Iqbal, Muhammad Azhar; Islam, Muhammad Arshad; Ahmed, Usman; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Cardiovascular and chronic respiratory diseases are global threats to public health and cause approximately 19 million deaths worldwide annually. This high mortality rate can be reduced with the use of technological ...