Personal profile
Research Interests
Digital communications; Power line communications (PLC); Smart grid; Visible light communications (VLC); Application of Machine Learning.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger -
SDG 3 Good Health and Well-being -
SDG 6 Clean Water and Sanitation -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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Dive into the research topics where Thokozani Shongwe is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Adaptive Hybrid Neural Network Predictor over a Multi-layer Perceptron Neural Network Model for Improved Electromagnetic Signal Power Loss Prediction
Ebhota, V. C. & Shongwe, T., 2026, In: Journal of Communications. 21, 2, p. 245-260 16 p.Research output: Contribution to journal › Article › peer-review
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Machine Learning-Enabled 5G and 6G Networks: Methods, Challenges, and Opportunities
Owais, M. & Shongwe, T., Feb 2026, In: Applied Sciences (Switzerland). 16, 4, 2071.Research output: Contribution to journal › Review article › peer-review
Open Access -
Multi-Layer Perceptron and a Radial Basis Function Architectural Network Models for Signal Propagation Power Loss Prediction – Pros and Cons
Ebhota, V. C. & Shongwe, T., 2026, In: Journal of Communications. 21, 2, p. 177-186 10 p.Research output: Contribution to journal › Article › peer-review
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Optimization of waste heat utilization from green hydrogen PEM electrolyzers for enhanced energy efficiency in hot climates: A Persian Gulf region airport study
Allan, A. M., Hasan, A. N. & Shongwe, T., Jun 2026, In: Energy Reports. 15, 108923.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Performance Evaluation of Machine Learning and Deep Learning Models for Credit Risk Prediction
Mapfumo, I. & Shongwe, T., Mar 2026, In: Journal of Risk and Financial Management. 19, 3, 210.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Innovation in Action: UJ’s Dr. Bonginkosi Thango Honored with Prestigious ECSA Award
9/04/26
1 item of Media coverage
Press/Media
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UJ Engineer Dr Bonginkosi Thango recognised for driving socially responsive innovation
9/04/26
1 item of Media coverage
Press/Media
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Findings in Machine Learning Reported from University of Johannesburg (Machine Learning-Enabled 5G and 6G Networks: Methods, Challenges, and Opportunities)
17/03/26
1 item of Media coverage
Press/Media