• 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 high-performance, hardware-based deep learning system for disease diagnosis 

      Siddique, Ali; Iqbal, Muhammad Azhar; Aleem, Muhammad; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Modern deep learning schemes have shown human-level performance in the area of medical science. However, the implementation of deep learning algorithms on dedicated hardware remains a challenging task because modern ...
    • 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 ...
    • On the evaluation of android malware detectors against code-obfuscation techniques 

      Nawaz, Umair; Aleem, Muhammad; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      The Android mobile platform is the most popular and dominates the cell phone market. With the increasing use of Android, malware developers have become active in circumventing security measures by using various obfuscation ...
    • Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers 

      Arshad, Umer; Aleem, Muhammad; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Cloud Computing services can be accessed anytime, anywhere via the Internet. The overwhelming growth of cloud data centers over the past decade has increased their costs as energy demands have risen. As a result, higher ...