Khmaies Ouahada

Phone+27 11 559 3864
Emailkouahadauj.acza
Websitehttps://www.uj.ac.za/members/prof-khmaies-ouahada

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Research activity per year

Research Interests

Information theory, coding techniques, power-line communications, visible light communications, smart home, smart grid, energy demand management, renewable energy, wireless sensor networks, reverse engineering and engineering education.

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):

SDG 1 No Poverty
SDG 2 Zero Hunger
SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 5 Gender Equality
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 10 Reduced Inequalities
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production
SDG 13 Climate Action
SDG 16 Peace, Justice and Strong Institutions
SDG 17 Partnerships for the Goals

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Dive into the research topics where Khmaies Ouahada is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

95 Article
77 Conference contribution
7 Review article
3 Paper
More

Algorithmic optimization of figure-of-9 fiber lasers via particle swarm methods
Nsoungui, G. C. M., Karar, A. S., Monga, K. J. J., Adibnia, E., Zayani, H. M., Salhi, M., Bahloul, F. & Ouahada, K., Jan 2026, In: Results in Optics. 22, 100955.
Research output: Contribution to journal › Article › peer-review

Open Access
Cross-domain convergence of generative models: From biomedical to astronomical applications
Ghodhbani, H., Rimer, S., Ouahada, K. & Alimi, A. M., Mar 2026, In: Machine Learning with Applications. 23, 100841.
Research output: Contribution to journal › Article › peer-review

Open Access
Dynamic Electric Vehicle Charging Pricing for Load Balancing in Power Distribution Networks based on Collaborative DDPG Agents
Lepolesa, L. J., Adetunji, K. E., Ouahada, K., Liu, Z. & Cheng, L., 2026, (Accepted/In press) In: IEEE Transactions on Smart Grid.
Research output: Contribution to journal › Article › peer-review
Flatness-Based Control in Successive Loops for Delta Parallel Robots in the Task Space
Rigatos, G., Abbaszadeh, M., Siano, P., Ouahada, K. & Gao, Z., Jun 2026, In: Advanced Control for Applications: Engineering and Industrial Systems. 8, 2, e70053.
Research output: Contribution to journal › Article › peer-review
Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies
Ahmad, B., Ouahada, K. & Hamam, H., Jan 2026, In: Computational and Structural Biotechnology Journal. 31, p. 316-345 30 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
1 Citation (Scopus)

Research on Machine Learning Published by Researchers at University of Johannesburg (Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies)
Ouahada, K.
27/01/26
1 item of Media coverage
Press/Media
Research Study Findings from University of Johannesburg Update Understanding of Computer Engineering (Mamba-caption: Long-range sequence modelling for efficient and accurate image captioning)
Ouahada, K.
30/12/25
1 item of Media coverage
Press/Media
Researchers at University of Johannesburg Target Networks (Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement)
Ouahada, K.
1/09/25
1 item of Media coverage
Press/Media
University of Johannesburg Researchers Detail Findings in Breast Cancer (Transformer-inspired training principles based breast cancer prediction: combining EfficientNetB0 and ResNet50)
Ouahada, K.
7/05/25
1 item of Media coverage
Press/Media
University of Johannesburg Researchers Provide New Insights into Sustainability Research (A comprehensive review of large language models: issues and solutions in learning environments)
Ouahada, K.
3/02/25
1 item of Media coverage
Press/Media

Prof Khmaies Ouahada

Personal profile

Research Interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Algorithmic optimization of figure-of-9 fiber lasers via particle swarm methods

Cross-domain convergence of generative models: From biomedical to astronomical applications

Dynamic Electric Vehicle Charging Pricing for Load Balancing in Power Distribution Networks based on Collaborative DDPG Agents

Flatness-Based Control in Successive Loops for Delta Parallel Robots in the Task Space

Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies

Research on Machine Learning Published by Researchers at University of Johannesburg (Machine learning for drug-target interaction prediction: A comprehensive review of models, challenges, and computational strategies)

Research Study Findings from University of Johannesburg Update Understanding of Computer Engineering (Mamba-caption: Long-range sequence modelling for efficient and accurate image captioning)

Researchers at University of Johannesburg Target Networks (Improved leukocyte classification in bone marrow cytology using convolutional neural network with contrast enhancement)

University of Johannesburg Researchers Detail Findings in Breast Cancer (Transformer-inspired training principles based breast cancer prediction: combining EfficientNetB0 and ResNet50)

University of Johannesburg Researchers Provide New Insights into Sustainability Research (A comprehensive review of large language models: issues and solutions in learning environments)

Prof Khmaies Ouahada

Personal profile

Research Interests

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media