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Name
Dr. Michael Joseph Ryoba

Academic Rank
Lecturer

Department
Physics, Mathematics & Informatics(PMI)

Biography

Biography

Michael Joseph Ryoba is a lecturer in the department of Physics, Mathematics, and Informatics at Dar es Salaam University College of Education (DUCE). His area of specialization is machine learning and data analytics. Ryoba hold a Ph. D in System Analysis and Integration from University of Shanghai for Science and Technology, China. Masters of Science in Computer Science and Bachelor of Science in Computer Science both from University of Dar es salaam. Dr. Ryoba dedicated his Ph.D research in analyzing influential features for predicting the success of crowdfunding project campaigns. 

Contacts

Email:

Email Address
michael.ryoba@duce.ac.tz

Mob:

Research Interest

Research Interest
Feature Engineering, Machine Learning, Big data analytics, Artificial Intelligency (AI), Systems Analysis and Design, and System Development

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Projects

Projects

Web-based System for Examination Invigilation Timetable Generation in Higher Learning Institutions. Researchers: Michael Ryoba (PI), Elimboto Yohana, Cecilia Swai and Linus John. Funding: UDSM the 5th Call for competitive research and innovation grants 2022/20223. 

Publications

Publications
  1. Ryoba M. J., Qu S., Ji Y., Qu D. The Right Time for Crowd Communication during Campaigns for Sustainable Success of Crowdfunding: Evidence from Kickstarter Platform. Sustainability. 2020; 12(18):7642.
  2. Ryoba, M. J., Qu, S., & Zhou, Y. Feature subset selection for predicting the success of crowdfunding project campaigns. Electron Markets (2020).
  3. Ni, F., Dai, F., Ryoba, M. J., Qu, S., & Ji, Y. A PROUD Methodology for TOGAF Business Architecture Modeling. In International Conference on Intelligent and Interactive Systems and Applications, (2018) (pp. 457-463). Springer, Cham.