Academic rank:
Assistant Lecturer
School:
School of Business
College:
College of Business and Economics(CBE)
Phone:
+250 788317992
E-mail:
rukuprince@gmail.com
Educational Background:
RUKUNDO Prince is currently working under the Department of Business Information Technology, School of Business, College of Business and Economics, University of Rwanda. He is pursuing his doctoral studies at Beijing Institute of Technology, Computer Science and Technology.
Research Interests and area of expertise :
Artificial Intelligence, Machine learning, Deep learning & Med Image analysis
Publications:
- Zahid Younas Khan1,2 · Zhendong Niu1,3 · Sulis Sandiwarno1 · Rukundo Prince1 “Deep learning techniques for rating prediction : a survey of the state-of – art” Vol. :(0123456789) Artificial Intelligence Review ,doi : 10.1007/s10462-020-09892-9
- Rukundo Prince, Mbanzabugabo Jean Baptiste (PhD), Nsabumuhire Innocent, Kagemana Gaston. “Convolution Neural Networkto Uncover Bank’s Hidden Patterns and unknown Correlation” June 2018, Vol VI Issue –11ISSN : 2026 -6839, International Journal of ICT and Management
- Rukundo Prince, Mbanzabugabo jean baptiste (PhD).“Cloud Computing as a Suitable Alternative to the Traditional On-Premise ERP and Massive Data Storage” June 2017, https://www.scribd.com/document/310248790/Cloud-Computing-as-a-Suitable-Alternative-to-the-Traditional-Paper
- Mbanzabugabo Jean Baptiste, Rukundo Prince, “Data structure and algorithms student version I” (Book ) ISBN-13 : 978-620-2-28796-8,