Dr. Kudakwashe Zvarevashe

Qualifications:

Doctor of Philosophy in Information Technology, Durban University of Technology, 2021 Masters degree in Information Technology (Specialising in Data Science), Jawaharlal Nehru Technological University

Academic Appointments:

Lecturer

Research Interests:

Speech Processing
Image Processing
Computer Vision
Natural Language Processing
Machine Learning Applications

Faculty: Computer Engineering Informatics and Communications

Department: Department of Analytics and Informatics

Research Category: Computer Science

Biography:

Dr Kudakwashe Zvarevashe is the chairperson of the department of Analytics and Informatics. He holds a Doctor of Philosophy in Information Technology. Dr has 10 years University experience in Teaching, Research and Administration. He is a member of the icABCDConference Review Committee

Email: kzvarevashe@ceic.uz.ac.zw

Phone: +263-242303211 Ext. 15073

Publications:

Zvarevashe, K., Kadebu, P., Mukwazvure, A., Mukora, F. & Gotora, T. (2020). Majority voting ensemble learning for intrusion detection using recursive feature elimination. Proceedings of the 2nd African International Conference on Industrial Engineering and Operations Management. Michigan: IEOM .

Kadebu, P., Zvarevashe, K., Mukwazvure, A, Mukora, F., Gotora, T. & Mapanga, I. (2020). Towards Cyber Security: An Evaluation of methods for Malware Analysis. Proceedings of the 2nd African International Conference on Industrial Engineering and Operations Management. Michigan: IEOM.

Zvarevashe, K.& Olugbara, O. O. (2020). Recognition of speech emotion using custom 2D-convolution neural network deep learning algorithm. Intelligent Data Analytics, 24 (5), 1065-1086.

Zvarevashe, K. & Olugbara, O. O. (2020). Recognition of Cross-Language Acoustic Emotional Valence Using Stacked Ensemble Learning. Algorithms, 13 (10) 246. https://doi.org/10.3390/a13100246.

Zvarevashe, K. and Olugbara, O. (2020). Ensemble Learning of Hybrid Acoustic Features for Speech Emotion Recognition, Algorithms 13 (3), 70, https://doi.org/10.3390/a13030070

Madzika, G. & Zvarevashe, K. (2020). Design and Development of a Prototype for Spam Email Detection using Multilayer Perceptron Algorithm. HIT Journal of Information Technology, 1 (1), 17-21.

Chimedza, V. T. & Zvarevashe, K. (2020). Opinion Mining of Feedback using Sentiment Analysis. HIT Journal of Information Technology, 1 (1), 30-34.
Zvarevashe, K. & Olugbara, O. O. (2018). Gender Voice Recognition Using Random Forest Recursive Feature Elimination with Gradient Boosting Machines. Proceedings of the 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), 6-7 August 2018, Durban, South Africa. DOI: 10.1109/ICABCD.2018.8465466

Zvarevashe, K. & Olugbara, O. O. (2018). A framework for sentiment analysis with opinion mining of hotel reviews. Conference on Information Communications Technology and Society (ICTAS), 8- 9 March, Durban, South Africa. DOI: 10.1109/ICTAS.2018.8368746

Zvarevashe, K., Mapanga, I. & Kadebu, P. (2016). A technical evaluation of the performance of classical Artificial intelligence (AI) and methods based on computational intelligence (CI) i.e supervised learning, unsupervised learning, ensemble and immune algorithms in intrusion detection systems. Proceedings and Report of the 9th UbuntuNet Alliance Annual Conference, 3 -4 November, Entebbe, Uganda.

Gotora, T. T., Zvarevashe, K., Govere, W. & Padenga, T. (2014). Virtual SIMs – the Future of Telephony as a Service. Proceedings and report of the 7th UbuntuNet Alliance Annual Conference, 13- 14 November, Lusaka, Zambia, 111-124.

Mawere, C., Zvarevashe, K., Sengudzwa, T. and Padenga, T. (2014). Cloud-Based Big Data Analytics in Bioinformatics: A Survey. Proceedings and report of the 7th UbuntuNet Alliance Annual Conference, 13- 14 November, Lusaka, Zambia.

Patented Work:

Grants & Funding (current and Past projects):

Awards & Achievements:

2021 Faculty top published student of the year, Faculty of Accounting and Informatics

Consultancy and advisory work (current and past):

Supervision information (MPhil, DPhil, etc.):

Professional membership, Committees, Boards:

External Profile Links (Google Scholar, ResearchGate, LinkedIn, other social media links):

https://scholar.google.com/citations?user=DxMt3fgAAAAJ&hl=en
https://zw.linkedin.com › kudakwashe-zvarevashe
https://orcid.org/0000-0001-8426-1221
https://www.researchgate.net/profile/Kudakwashe-Zvarevashe