Staff Profile

Dr James Chambua

Dr James Chambua holds a PhD in Computer Science and Technology specializing in Artificial Intelligence and Machine Learning Algorithms from the Beijing Institute of Technology – Beijing, China. He is currently a Lecturer and Postgraduate Studies Coordinator at the Computer Science and Engineering Department of the University of Dar-es-Salaam. His research interests include improving understanding, design and performance of ML algorithms, recommender systems, information retrieval, big data analytics and visualizations, application of AI techniques, statistics and e-learning systems.

Dr Chambua has conducted consultancies in programming and software development with several organizations including Intrahealth International. His research works have been published in international journals including Artificial Intelligence Review, Expert Systems with Applications, Neurocomputing and Weather. Currently, he is serving as a Co-Guest Editor for the International Journal of Distributed Sensor Networks (SAGE Publications) and also serving as a Program Committee member for the International Conference for Data Mining (ICDM 2021) specifically on its Second International Workshop on Advanced Neural Algorithms and Theories for Recommender Systems (ICDM NeuRec Workshop 2021).

Selected Publications:

1. James Chambua, Zhendong Niu, (2020) “Review Text Rating Prediction Approaches: Preference Knowledge Learning, Representation and Utilization”, Artificial Intelligence Review, DOI: https://doi.org/10.1007/s10462-020-09873-y. (SCI)
   
   
2. Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu (2020) “Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization” Neurocomputing, Volume 415, 20 November 2020, Pages 84-95, DOI: 10.1016/j.neucom.2020.07.064 (SCI)
   
   
3. James Chambua, Zhendong Niu, Abdallah Yousif, Jimmy Mbelwa, (2018) “Tensor Factorization Method based on Review Text Semantic Similarity for Rating Prediction”, Expert Systems with Applications, 114, 629-638, DOI: 1016/j.eswa.2018.07.059 (SCI)
   
   
4. James Chambua, Zhendong Niu, Yifan Zhu, (2019) “User Preferences Prediction Approach based on Embedded Deep Summaries”, Expert Systems with Applications, 132, 87-98. DOI: 10.1016/j.eswa.2019.04.047 (SCI)
   
   
5. Zhu Yifan, James Chambua, Hao Lu, Kaize Shi, Zhendong Niu (2019) “An Opinion based cross- regional meteorological event detection model”. Weather, 74(2), 51-55. (SCI)
   
   
6. Abdallah Yousif, Zhendong Niu, James Chambua, Zahid Younas Khan, (2019) “Multi-Task Learning Model based on Recurrent Convolution Neural Networks for Citation Sentiment and Purpose Classification” Neurocomputing, 335(2), 195-205. DOI: 10.1016/j.neucom.2019.01.021. (SCI)

Contacts
Department of Computer Science and Engineering
University of Dar es Salaam
CoICT Kijitonyama Campus
Ali Hassan Mwinyi Road
P.O. Box 33335, Dar es Salaam, Tanzania.
Mobile: +255 (0) 658 968 922
Email: james.chambua@udsm.ac.tz 
Office location: CoICT Block A Room# 016