Mohamed Abusharkh

Assistant Professor

Professional activities and areas of interest

is an assistant professor and the program coordinator for Digital Media Software Engineering program at Ferris State University. Dr. Abusharkh received his PhD in 2016 from Western University, focusing on resource management in Next Generation Cloud computing technologies, introducing efficient techniques to tackle resource allocation challenges catering to service delay, energy efficiency, performance evaluation and high availability. He endeavors to combine the insights gained while working as software implementation consultant along with research modeling, optimization, and performance evaluation techniques to design solutions catering to real world challenges. This yielded successful results for projects in the area of Cloud Computing covering resource allocation, Cloud systems performance measurement, high availability, energy efficiency and machine learning supported by industrial partners like Samsung and Ericsson. His current research interests span topics including Cloud computing resource optimization, Natural language processing, real time bidding (RTB) for Cloud resources in IoT environments and exploiting Machine Learning for better resource utilization.

Publications and Intellectual Contributions

  • Book Chapter
    Abusharkh, M., Shami, A., Kalil, M. (2019). “The Era of the Personal Cloud: What Does It Mean for Cloud Providers?” In F. Al-Turjman (Ed.), Edge Computing: From Hype to Reality. Springer.
  • Magazine/Trade Publication
    Kalil, M., Al-Dweik, A., Abusharkh, M., Shami, A., Refaey, A. (2017). “A Framework for Joint Wireless Network Virtualization and Cloud Radio Access Networks for Next Generation Wireless Networks,” ICEE Access Magazine.
  • Journal Article
    Abusharkh, M., Ouda, A., Shami, A. (2017). “Wind Driven Clouds: Optimal and Suboptimal Resource Allocation Techniques in Cloud Computing Data Centers,” Springer Journal of Cloud Computing.
  • Journal Article
    Abusharkh, M., Ouda, A., Shami, A. (2017). “An Evergreen Cloud: Optimizing Energy Efficiency in Green Cloud Computing Environments Based on Virtual Machine State Prediction,” Elsevier Vehicular Communications Journal.
  • Journal Article
    Abusharkh, M., Kanso, A., Shami, A., Ohlen, P. (2016). “Building a Cloud on Earth: A Study of Cloud Computing Data Center Simulators,” Elsevier Computer Networks Journal.
  • Journal Article
    Alhazmi, K., Abusharkh, M., Shami, A. (2016). “Drawing the Cloud Map: Virtual Network Provisioning in Distributed Cloud Computing Data Centers,” IEEE Systems Journal.
  • Journal Article
    Abusharkh, M., Jammal, M., Ouda, A., Shami, A. (2013). “Resource Allocation in a Network-Based Cloud Computing Environment: Design Challenges,” IEEE Communications Magazine.

Presentations

  • Presentation
    Faroun, A., Abusharkh, M., Kalil, M., IEEE CCECE 2020, “A Cloud-based Architecture for Automated Grading of Computer-Aided Design Student Work Using Deep Learning,” (August 2020).
  • Presentation
    Abusharkh, M., Xu, Y., Leyder, E., IEEE CCECE 2020, “CloudMach: Cloud Computing Application Performance Improvement through Machine Learning,” (August 2020).
  • Presentation
    Abusharkh, M., Kalil, M., IEEE ICC2019, “A Dynamic Algorithm for Fog Computing Data Processing Decision Optimization,” (June 2020).
  • Presentation
    Abusharkh, M., Hatched Education Innovation Conference, “AutoSim: Automotive dealership management experiential learning simulator,” Ferris State University, (September 2019).
  • Presentation
    Abusharkh, M., Hatched Education Innovation Conference, “Teaching Software Engineering Online: SENG-101 Online Course Shell- Lessons & Ideas,” Ferris State University, (September 2019).
  • Presentation
    Abusharkh, M., Kalil, M., IEEE ICC2019, “Optimizing the Data Processing Decision for Hybrid Fog Environments,” (May 2019).
  • Presentation
    Abusharkh, M., Kalil, M., IEEE ICC2018, “A Quest for Optimizing the Data Processing Decision for Cloud-Fog Hybrid Environments,” (May 2018).
  • Presentation
    Abulhameed, T., Zitouni, I., Abdel-Qader, I., Abusharkh, M., ICNLSSP2017 Conference, “Assessing the Usability of Modern Standard Arabic Data in Enhancing the Language Model of Limited Size Dialect Conversations,” (December 2017).
  • Presentation
    Fadheel, W., Abusharkh, M., Abdel-Qader, I., IEEE International Conference on Pervasive Intelligence and Computing, “On Feature Selection for the Prediction of Phishing Websites,” (November 2017).
  • Lecture
    Abusharkh, M., “Climbing up Cloud Nine: Enhancing the Performance of Cloud Computing,” Western Michigan University, (May 2017).

Education:

PhD, University of Western Ontario, London, Canada, Software Engineering

MA, College of Engineering, Kuwait University, Computer Engineering

BA, College of Science, Kuwait University, Computer Science

Programs:

Digital Media Software Engineering, School Of Digital Media