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MICHAEL JOSEPH RYOBA

Lecturer, Dar Es Salaam University College Of Education
Education:

Ph.D. in System Analysis and Integration – University of Shanghai for Science and Technology, China

Teaching:

  1. Object Oriented Programming
  2. Data science with Python
  3. Database concepts
  4. Data structure and algorithms
  5. Machine Learning

Research:

  1. Data Science and Machine Learning
  2. System Analysis
  3. Programming

Projects:

  • Web-based System for Examination Invigilation Timetable Generation in Higher Learning Institutions. Researchers: Michael Joseph Ryoba (PI), Linus John, Elimboto Yohana and Cecilia Swai. Amount: 20,000,000.00 TZS. Duration: 1 year (April 2023 to March 2024). Funding: UDSM the 5th Call for competitive research and innovation grants 2022/20223.
  • Accelerating Natural Products Antimalarial Drug Discovery using Artificial Intelligence and Atomistic Simulations. Researchers: Grace Kinunda (PI), Geradius Deogratias, Lucas Luchemba, Michael Joseph Ryoba, Olivia Kalokora, Stephen Nyandoro. Amount: 29,225,000.00 TZS. Duration: 1 year (April 2023 to March 2024). Funding: UDSM the 5th Call for competitive research and innovation grants 2022/20223.

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, Feng, Fang Dai, Michael J. Ryoba, Shaojian Qu, and Ying Ji. "A PROUD Methodology for TOGAF Business Architecture Modeling." In International Conference on Intelligent and Interactive Systems and Applications, pp. 457-463. Springer, Cham, 2017.