Kamuhanda Dany

Academic rank: 
Email: 
dany.kamuhanda@gmail.com
Twitter: 
@danison2
School/centre: 
Published Papers : 

1) Kagyera, D. K., Banzi, W., & Kamuhanda, D. (2022). Analysis Of The Use Of Digital Platforms By University And College Lecturers In Instruction Of Mathematics During Covid-19 Pandemic Era. Webology, 19(2), 7475–7487.       
2) Kagyera, D. K., Wellars, B., & Kamuhanda, D. (2022). An Assessment of Student Teacher’s Attitudes Towards Incorporation of ICT in Mathematics Instruction. Journal of Positive School Psychology, 2022(4), 4185–4193.                                                                      

3) Kamuhanda, D., Wang, M., & He, K. (2020). Sparse Nonnegative Matrix Factorization for Multiple Local Community Detection. IEEE Transactions on Computational Social Systems, vol. 7, no. 5, pp. 1220–1233, 2020. https://doi.org/10.1109/TCSS.2020.3008860                                                                                                                                                                                                                   4) Kamuhanda, D., & He, K. (2018). A Nonnegative Matrix Factorization Approach for Multiple Local Community Detection. Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 642–649. https://doi.org/10.1109/ASONAM.2018.8508796                                                                                                                                              
 5) Barnard, L., & Kamuhanda, D. (2013). A social learning support facility for computer science students. Annual Conference on WWW Applications, 1–16.

Brief profile: 
Dr. Dany KAMUHANDA received a PhD in Computer Application Technology in 2020 at Huazhong University of Science and Technology (China). In 2015, he received a master’s degree in Computer Science and Information Systems at Nelson Mandela Metropolitan University (South Africa). In 2010, he received a bachelor’s degree in Computer Science at Kigali Institute of Education (Rwanda). Currently, he is a Lecturer of Computer Science at the University of Rwanda. From 2011 to 2015, he worked at Kavumu College of Education as an Assistant Tutor of Computer Science. His current research interests include data science, machine learning and specifically, community detection in social networks. His recent publications include 10.1109/TCSS.2020.3008860 and 10.1109/ASONAM.2018.8508796.
Research Area: 
Data Science and ICT in Education