Mohamed Abusharkh, PhD

Mohamed Abusharkh, PhD

Assistant Professor & Program Coordinator
Digital Media Software Engineering
School of Digital Media
Phone: (616) 643-5748
Email: [email protected]

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

Biography

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

• Journal Article
  Ahmed, M., Ouda, A., Abusharkh, M., Kohli, S., Rai, K. (2023). "An Optimized Approach to Translate Technical Patents from English to Japanese Using Machine Translation Models," Applied sciences. 13 (12). p. 7126. basel: MDPI. https://www.mdpi.com/2076-3417/13/12/7126
• Conference Proceeding
  Abusharkh, M., Leonard, R. A., Goeldel, J. (2023). "Teaching Autonomous Vehicles at the Graduate Level: Challenges and Efficient Offering," 2023 IEEE Global Engineering Education Conference (EDUCON) New Jersey: IEEE.
• Conference Proceeding
  Ahmed, M., Ouda, A., Abusharkh, M. (2022). "An Analysis of the Effects of Hyperparameters on the Performance of Simulated Autonomous Vehicles," International telecommunication conference. (2022). New Jersey: IEEE.
• Conference Proceeding
  Li, J., Abusharkh, M., Xu, Y. (2022). "DeepRacer Model Training for autonomous vehicles on AWS EC2," ITC conference. (2022). New Jersey: IEEE.
• Conference Proceeding
  Wilson, E., Abusharkh, M., Xu, Y. (2022). "Methods for Generating Data Sets and Training Cascade Classifiers Using OpenCV," International telecommunication conference. (2022). New Jersey: IEEE.
• Conference Proceeding
  Jammal, M., Abusharkh, M. (2021). "Machine Learning for Edge-Aware Resource Orchestration for IoT Applications," GCIoT. (2021). New Jersey: IEEE.
• Conference Proceeding
  Xu, Y., Abusharkh, M. (2020). "CloudMach: Cloud Computing Application Performance Improvement through Machine Learning," CCECE. IEEE.
• 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.

Presentations

• Presentation
  Jammal, M., Abusharkh, M., IEEE GCIoT Conference, "Machine Learning for Edge-Aware Resource Orchestration for IoT Applications," (September 2021).
• 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).