
Academic rank:
Email:
p.rukundo@ur.ac.rw/ rukuprince@gmail.com
Telephone:
+250788317992
Twitter:
@rukuprince
School/centre:
Department:
Published Papers :
1. https://link.springer.com/article/10.1186/s12859-023-05427-5
2. https://www.sciencedirect.com/science/article/abs/pii/S0010482525000095
3. https://link.springer.com/article/10.1007/s10462-020-09892-9
4. https://ieeexplore.ieee.org/abstract/document/11091560
5. https://ieeexplore.ieee.org/abstract/document/11584834
6. https://www.amazon.com/Data-Structures-Algorithms-Student-Version/dp/620...
Brief profile:
I specialize in AI data science research using machine learning models, particularly in computer vision, utilizing advanced technologies to innovate and resolve intricate global issues. My extensive experience in deep learning has led me to actively engage in various impactful projects. Notably, I have initiated ventures in medical image analysis, employing sophisticated algorithms to enhance diagnostic precision and elevate patient care standards. Furthermore, my proficiency extends to predicting climate change impacts, wherein I have played a pivotal role in developing models to ensure agricultural security and mitigate associated hazards. Additionally, I have collaborated on endeavors targeting the prediction and mitigation of vector-borne and water-borne diseases, employing data-driven methodologies to drive proactive interventions. My portfolio also encompasses significant contributions to the research and development of mobile-based software applications, enhancing user experiences, and propelling technological advancements across diverse sectors. Finally, I am an academician, teaching at the University of Rwanda both machine learning algorithms and big data analytics.
Research Area:
Artificial Intelligence / Computer Vision.
Research ID number (ORCID): 0000-0003-1044-2868