Publications

6 Top Papers

Tamlin Love, Ritesh Ajoodha and Benjamin Rosman. Who Should I Trust? Cautiously Learning with Unreliable ExpertsNeural Computing and Applications. Online https://www.springer.com/journal/521. Electronic ISSN: 1433-3058. Print ISSN: 0941-0643.

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Ritesh Ajoodha. Identifying Academically Vulnerable Learners in First-year Science Programmes at a South African Higher-Education Institution. South African Computer Journal. Online ISSN: 2313-7835. Print ISSN: 1015-7999.

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Yaseen Essa , Hugh G. P. Hunt , Morné Gijben, and Ritesh Ajoodha. Deep Learning Prediction of Thunderstorm Severity using Remote Sensing Weather Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2022.3172785, Print ISSN: 1939-1404 Electronic ISSN: 2151-1535.

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Ritesh Ajoodha and Benjamin Rosman. Discovery of Influence between Processes Represented by Hidden Markov Models. The International IOT, Electronics and Mechatronics Conference (IEMTRONICS 2020) in association with IEEE Vancouver section, Vancouver, Canada. https://ieeexplore.ieee.org/document/9216439. DOI: 10.1109/IEMTRONICS51293.2020.9216439. Electronic ISBN: 978-1-7281-9615-2. Print on Demand (PoD) ISBN: 978-1-7281-9616-9.

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Ritesh Ajoodha and Benjamin Rosman. Using Score-based Structure Learning to Computationally Learn Direct Influence between Hierarchical Dynamic Bayesian Networks. 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. https://ieee-csde.org/2021/

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Ritesh Ajoodha, Ashwini Jadhav, and Shalini Dukhan. Forecasting Learner Attrition for Student Success at a South African University. Association for Computing Machinery. In Conference of the South African Institute of Computer Scientists and Information Technologists 2020 (SAICSIT ’20), September 14–16, 2020, Cape Town, South Africa. ACM, New York, NY, USA, 10 pages. pages: 19-28. DOI: 10.1145/3410886.3410973. https://doi.org/10.1145/3410886.3410973

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Other Refereed/Peer-reviewed publications

Sizwe Mzila, Hugh Hunt, Ritesh Ajoodha. Prediction of Lightning Occurrence in South Africa Using Neural Network and Meteorological Data. International Conference on Information Systems and Emerging Technologies (ICISET 2022), Windhoek, Namibia. https://ssrn.com/abstract=4331675. ISSN 1556-5068. https://dx.doi.org/10.2139/ssrn.4331675

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Ahmad Soni, Kershree Padayachee, and Ritesh Ajoodha. A Graph Colouring Solution to the Timetable Problem with Hard Constraints in Higher Education Institutions. International Conference on Information Systems and Emerging Technologies (ICISET 2022), Windhoek, Namibia. https://ssrn.com/abstract=4332718. ISSN 1556-5068. https://dx.doi.org/10.2139/ssrn.4332718

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Siphesihle Ndhlovu and Ritesh Ajoodha. A Novel Feature-Based Music Recommendation System Considering the Uniqueness of Musical Items. International Conference on Information Systems and Emerging Technologies (ICISET 2022), Windhoek, Namibia. https://ssrn.com/abstract=4332853. ISSN 1556-5068. https://dx.doi.org/10.2139/ssrn.4332853

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Erin Ollewagen and Ritesh Ajoodha. Mapping Chordal Progressions from the Magnitude Spectrum to Symbolic Notation. International Conference on Information Systems and Emerging Technologies (ICISET 2022), Windhoek, Namibia. https://ssrn.com/abstract=4332856. ISSN 1556-5068. https://dx.doi.org/10.2139/ssrn.4332856

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Mashaole Masekwameng and Ritesh Ajoodha. A Hybrid Method of Using Feedback from Users to Improve Music. International Conference on Information Systems and Emerging Technologies (ICISET 2022), Windhoek, Namibia. https://ssrn.com/abstract=4332719. ISSN 1556-5068. https://dx.doi.org/10.2139/ssrn.4332719

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Davis Moswedi and Ritesh Ajoodha. A Content-Based Collaborative Filtering Movie Recommendation System using Keywords Extractions. 2022 International Conference on Engineering and Emerging Technologies (ICEET). Kuala Lumpur, Malaysia. DOI: 10.1109/ICEET56468.2022.10007421. Electronic ISBN:978-1-6654-9106-8. CD:978-1-6654-9105-1. Print on Demand(PoD) ISBN:978-1-6654-9107-5. https://ieeexplore.ieee.org/document/10007421

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Mtuthuko Mngomezulu and Ritesh Ajoodha. Music Classification Using Fourier Transform and Support Vector Machines. 2022 International Conference on Engineering and Emerging Technologies (ICEET). Kuala Lumpur, Malaysia. DOI: 10.1109/ICEET56468.2022.10007345. Electronic ISBN:978-1-6654-9106-8. CD:978-1-6654-9105-1. Print on Demand(PoD) ISBN:978-1-6654-9107-5. https://ieeexplore.ieee.org/document/10007345

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Tshepang Motaung, Kershree Padayachee and Ritesh Ajoodha. Predicting Students At-Risk Using Deep Learning Neural Network: A comparison of performance of different models. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives. Electronic ISBN:978-1-6654-7095-7. Print on Demand (PoD). ISBN:978-1-6654-7096-4. DOI: 10.1109/ICECCME55909.2022.9988117. https://ieeexplore.ieee.org/document/9988117

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Themba Ngobeni and Ritesh Ajoodha. Satellite image classification using HOG and DAISY Feature Descriptors. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives. Electronic ISBN:978-1-6654-7095-7. Print on Demand (PoD). ISBN:978-1-6654-7096-4. DOI: 10.1109/ICECCME55909.2022.9988636. https://ieeexplore.ieee.org/document/9988636

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Brenton Budler and Ritesh Ajoodha. Comparative Analysis of Deep Learning Models for Network Intrusion Detection Systems. 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS), Debrecen, Hungary. Electronic ISBN:978-1-6654-9653-7. Print on Demand (PoD) ISBN:978-1-6654-9654-4. DOI: 10.1109/CITDS54976.2022.9914128. https://ieeexplore.ieee.org/document/9914128

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Mpho Nefale and Ritesh Ajoodha. Using Numerous Biographical and Enrolling Observations to Predict Student Performance. Proceedings of 3rd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems. Springer, Singapore. DOI:10.1007/978-981-19-7041-2_55. https://link.springer.com/chapter/10.1007/978-981-19-7041-2_55

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Takalani O. Mufamadi and Ritesh Ajoodha. Crop Recommendation Using Machine Learning Algorithms and Soil Attributes Data. 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022), Japur, India. DOI: https://doi.org/10.1007/978-981-19-7041-2_3. https://link.springer.com/chapter/10.1007/978-981-19-7041-2_3 Print ISBN 978-981-19-7040-5. Online ISBN 978-981-19-7041-2

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Uvir Bhagirathi and Ritesh Ajoodha. Automatic Venue Allocation for Varying Class Sizes using Scoring and Heuristic Hill-climbing. In: Jabeen, S.D., Ali, J., Castillo, O. (eds) Soft Computing and Optimization. SCOTA 2021. Springer Proceedings in Mathematics & Statistics, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-19-6406-0_24 https://link.springer.com/chapter/10.1007/978-981-19-6406-0_24

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Shiluva Kubayi, Ashwini Jadhav, and Ritesh Ajoodha. A Machine Learning Approach for Predicting Students’ Second Year Outcomes. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies. Algorithms for Intelligent Systems. Springer, Singapore. DOI: 10.1007/978-981-19-3951-8_41. https://doi.org/10.1007/978-981-19-3951-8_41

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Jonas Chirindza and Ritesh Ajoodha. Machine Learning Approaches to Stroke Prediction based on the Framingham Cardiovascular Study Dataset. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_36

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Bohlokoa Tilo, Rudzani Mulaudzi, and Ritesh Ajoodha. The Effects of Feature Selection on the Forecast Accuracy of the South African Unemployment Rate. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_50

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Babalwa Nhose, Rudzani Mulaudzi, and Ritesh Ajoodha. A CNN based model to forecast the South African Unemployment Rate. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_6

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Luyanda Makhoba, Ashwini Jadhav, Khanyisile Sixhaxa, and Ritesh Ajoodha. Evaluation of Student Skill-Sets as predictors of Success at Higher-education Institutions. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_45

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Prince Ngema, Ashwini Jadhav, Khanyisile Sixhaxa, and Ritesh Ajoodha. Predicting the Completion of a Science Degree based on the First-year Marks at Higher-education Institutions. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_39

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Jared T. Naidoo, Ashwini Jadhav, Khanyisile Sixhaxa, and Ritesh Ajoodha. Using Student Characteristics to Promote Student Success at Higher-education Institutions. In: Kumar, S., Hiranwal, S., Purohit, S.D., Prasad, M. (eds) Proceedings of International Conference on Communication and Computational Technologies . Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-3951-8_32

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Khanyisile Sixhaxa, Ashwini Jadhav and Ritesh Ajoodha. Predicting Students Performance In Exams Using Machine Learning Techniques. 2022 12th International Conference on Cloud Computing, Data Science Engineering (Confluence). Noida, India. DOI: 10.1109/Confluence52989.2022.9734218. Electronic ISBN:978-1-6654-3701-1. Print on Demand(PoD) ISBN:978-1-6654-3702-8. https://ieeexplore.ieee.org/document/9734218

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Thabo Makola, Rudzani Mulaudzi, and Ritesh Ajoodha.  Using Feature Engineering Techniques to Improve Multivariate Model Forecasting of the South African Unemployment Rate. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa. DOI: 10.1109/ICECET52533.2021.9698753. Electronic ISBN:978-1-6654-4231-2. Print on Demand(PoD) ISBN:978-1-6654-4232-9. https://ieeexplore.ieee.org/document/9698753.

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Xolani Mti, Shalini Dukhan, and Ritesh Ajoodha. The Influence of Interest in a Career Field and Academic Success in First Year Biology Students. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa. DOI: 10.1109/ICECET52533.2021.9698749. Electronic ISBN:978-1-6654-4231-2. Print on Demand(PoD) ISBN:978-1-6654-4232-9. https://ieeexplore.ieee.org/document/9698749

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Joel Mandlazi, Ashwini Jadhav, and Ritesh Ajoodha. Evaluating Deep Sequential Knowledge Tracing Models for Predicting Student Performance. 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Brisbane, Australia. DOI: 10.1109/CSDE53843.2021.9718405. Electronic ISBN:978-1-6654-9552-3. Print on Demand (PoD) ISBN:978-1-6654-9553-0. https://ieeexplore.ieee.org/document/9718405

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Manuel A. Fokam and Ritesh Ajoodha. Influence of Contrastive Learning on Source Code Plagiarism Detection through Recursive Neural Networks. 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). Windhoek, Namibia. DOI: 10.1109/IMITEC52926.2021.9714688. Electronic ISBN:978-1-6654-1749-5. Print on Demand (PoD) ISBN:978-1-6654-1750-1. https://ieeexplore.ieee.org/document/9714688.

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Siyabnga HlomukaShalini Dukhan, and Ritesh Ajoodha. To What Extent Do Mark Expectations of First Years Align With Their Academic Achievement Within Biology Based Degrees At a South African University? 2021 3rd International Multidisciplinary Information Technology and Engineering Conference (IMITEC). Windhoek, Namibia. DOI: 10.1109/IMITEC52926.2021.9714610. Electronic ISBN:978-1-6654-1749-5. Print on Demand(PoD) ISBN:978-1-6654-1750-1. https://ieeexplore.ieee.org/document/9714610.

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Joel Mandlazi, Ashwini Jadhav, and Ritesh Ajoodha. Evaluating Deep Sequential Knowledge Tracing Models for Predicting Student Performance. 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Brisbane, Australia. DOI: 10.1109/CSDE53843.2021.9718405. Electronic ISBN:978-1-6654-9552-3. Print on Demand (PoD) ISBN:978-1-6654-9553-0. https://ieeexplore.ieee.org/document/9718405

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Xolani Mti, Shalini Dukhan, and Ritesh Ajoodha. The Influence of Interest in a Career Field and Academic Success in First Year Biology Students. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa. DOI: 10.1109/ICECET52533.2021.9698749. Electronic ISBN:978-1-6654-4231-2. Print on Demand(PoD) ISBN:978-1-6654-4232-9. https://ieeexplore.ieee.org/document/9698749.

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Tamlin Love, Ritesh Ajoodha, and Benjamin Rosman. Who Should I Trust? Cautiously Learning with Unreliable Experts. Neural Computing and Applications (Impact Factor 5.102, SNIP = 1.784). DOI: 10.1007/s00521-022-07808-y. https://link.springer.com/article/10.1007/s00521-022-07808-y

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Importance of Data Re-Sampling and Dimensionality Reduction in Predicting Students’ Success. The 3rd International Conference on Electrical, Communication, and Computer Engineering (ICECCE 2021) in association with IEEE at Kuala Lumpur, Malaysia. DOI: 10.1109/ICECCE52056.2021.9514123. Electronic ISBN:978-1-6654-3897-1. Print on Demand(PoD) ISBN:978-1-6654-4602-0. https://ieeexplore.ieee.org/document/9514123

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Yaseen Essa, Hugh Hunt, and Ritesh Ajoodha. Short-term Prediction of Lightning in Southern Africa using Autoregressive Machine Learning Techniques. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Publisher: IEEE Conference Location: Toronto, ON, Canada. https://ieeexplore.ieee.org/document/9422493. DOI: 10.1109/IEMTRONICS52119.2021.9422493. Electronic ISBN:978-1-6654-4067-7 Print on Demand (PoD) ISBN:978-1-6654-1160-8

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Application of Machine Learning Techniques to the Prediction of Student Success. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Publisher: IEEE Conference Location: Toronto, ON, Canada. https://ieeexplore.ieee.org/document/9422545 DOI: 10.1109/IEMTRONICS52119.2021.9422545. Electronic ISBN:978-1-6654-4067-7 Print on Demand (PoD) ISBN:978-1-6654-1160-8

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Judith G. K. Mabunda, Ashwini Jadhav and Ritesh Ajoodha. A Review: Predicting Student Success at Various Levels of their Learning Journey in a Science Programme. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Publisher: IEEE Conference Location: Toronto, ON, Canada. https://ieeexplore.ieee.org/document/9422519 DOI: 10.1109/IEMTRONICS52119.2021.9422519. Electronic ISBN:978-1-6654-4067-7 Print on Demand (PoD) ISBN:978-1-6654-1160-8

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Ndiatenda Ndou, Ritesh Ajoodha and Ashwini Jadhav. Music Genre Classification: A Review of Deep-Learning and Traditional Machine-Learning Approaches. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Publisher: IEEE Conference Location: Toronto, ON, Canada. https://ieeexplore.ieee.org/document/9422487. DOI: 10.1109/IEMTRONICS52119.2021.9422487. Electronic ISBN:978-1-6654-4067-7 Print on Demand (PoD) ISBN:978-1-6654-1160-8 (Best Paper Award)

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Daniel T. Semwayo and Ritesh Ajoodha. A Causal Bayesian Network Model for Resolving Complex Wicked Problems. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Publisher: IEEE Conference Location: Toronto, ON, Canada. https://ieeexplore.ieee.org/document/9422608. DOI: 10.1109/IEMTRONICS52119.2021.9422608. Electronic ISBN:978-1-6654-4067-7 Print on Demand (PoD) ISBN:978-1-6654-1160-8.

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Judith Mabunda, Ashwini Jadhav, and Ritesh Ajoodha. Sentiment Analysis of Student Textual Feedback to Improve Teaching. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 9, eBook ISBN: 9781003202240. DOI: 10.0.4.177/9781003202240-100. Click Here For Online Paper

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Thabo Ramaano, Ritesh Ajoodha and Ashwini Jadhav. Different Models Relating Prior Computer Experience with Performance in First Year Computer Science. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 8, eBook ISBN: 9781003202240. DOI: 10.1201/9781003202240-101. Click Here For Online paper

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Daisy Chabumba, Ashwini Jadhav, and Ritesh Ajoodha. Predicting Telecommunication Customer Churn using Machine Learning Techniques. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 12, eBook ISBN: 9781003202240. DOI: 10.1201/9781003202240-98. Click Here For Online Paper

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Eluwumi Buraimoh, Ritesh Ajoodha and Kershree Padayachee. Prediction of Student Success using Student Engagement with Learning Management System. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 7, eBook ISBN: 9781003202240. DOI: 10.1201/9781003202240-91. Click Here For Online Paper

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Rudzani Mulaudzi and Ritesh Ajoodha. Improving the Performance of Multivariate Forecasting Models Through Feature Engineering: A South African Unemployment Rate Forecasting Case Study. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 6, eBook ISBN: 9781003202240. DOI: 10.1201/9781003202240-66. Click Here For Online Paper. (Best Speaker Award)

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Skhumbuzo Dube and Ritesh Ajoodha. Improving Library Book Retrieval By Using Topic Modeling. IRTM 2021 (International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 6. eBook ISBN: 9781003202240. DOI: 10.1201/9781003202240-92 Click Here For Online Paper

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler,  and Hlanganani Tutu. Application of Recurrent Neural Networks for Scenario Modelling of Groundwater Levels: A Case Study of the Grootfontein Aquifer. IRTM 2021 International conference on Interdisciplinary Research in Technology and Management in association with Taylor & Francis, Kolkata, India. Edition: 1st Edition, First Published: 2021, Imprint: CRC Press, Pages: 10, eBook ISBN: 9781003202240. DOI:10.1201/9781003202240-93. Click Here For Online Paper

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Darren Blackwell and Ritesh Ajoodha. A Bayesian Approach to Understanding the Influence of Traffic Congestion Given the Road Structure. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. Print ISBN 978-981-16-2101-7. Online ISBN 978-981-16-2102-4. https://doi.org/10.1007/978-981-16-2102-4_25.

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Dhevan S. Lau and Ritesh Ajoodha. Music Genre Classification: A Comparative Study Between Deep Learning and Traditional Machine Learning Approaches. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. Print ISBN 978-981-16-2101-7. Online ISBN 978-981-16-2102-4. https://doi.org/10.1007/978-981-16-2102-4_22.

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Rudzani Mulaudzi and Ritesh Ajoodha. Demonstration that the Use of Feature Selection on High Dimensional South African Macroeconomic Data Results in Improved Performance. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. Print ISBN 978-981-16-2101-7. Online ISBN 978-981-16-2102-4. https://doi.org/10.1007/978-981-16-2102-4_27.

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Tshepo Nkambule and Ritesh Ajoodha. Classification of Music by Genre Using Probabilistic Models and Deep Learning Models. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. Print ISBN 978-981-16-2101-7. Online ISBN 978-981-16-2102-4. https://doi.org/10.1007/978-981-16-2102-4_17

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Tristan K. Nagan and Ritesh Ajoodha. Evaluating the Performance of Hybrid Quantum-Classical Convolutional Neural Networks on NISQ Devices. In: Yang XS., Sherratt S., Dey N., Joshi A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 217. Springer, Singapore. Print ISBN 978-981-16-2101-7. Online ISBN 978-981-16-2102-4. https://doi.org/10.1007/978-981-16-2102-4_20.

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Marc Marsden and Ritesh Ajoodha. Algorithmic Music Composition using Probabilistic Graphical Models and Artificial Neural Networks. 2021 Southern African Universities Power Engineering Conference/ Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/ RobMech/ PRASA). Publisher: IEEE. Potchefstroom, South Africa, 2021, DOI: 10.1109/SAUPEC/RobMech/PRASA52254.2021.9377235. Electronic ISBN: 978-1-6654-0345-0. Print on Demand (PoD) ISBN: 978-1-6654-4788-1. https://ieeexplore.ieee.org/document/9377235

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Evans Thulare, Ritesh Ajoodha and Ashwini Jadhav. An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data. 2021 Southern African Universities Power Engineering Conference/ Robotics and Mechatronics/ Pattern Recognition Association of South Africa (SAUPEC/ Rob-Mech/ PRASA). Publisher: IEEE. Potchefstroom, South Africa, 2021, DOI: 10.1109/SAUPEC/RobMech/PRASA52254. 2021.9377210. Electronic ISBN: 978-1-6654-0345-0. Print on Demand (PoD) ISBN: 978-1-6654-4788-1. https://ieeexplore.ieee.org/document/9377210

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Lonia Masangu, Aswhini Jadhav, and Ritesh Ajoodha. Predicting Student Academic Performance Using Data Mining Techniques. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 6, Issue 1, Page No 153-163, 2021. Adv. Sci. Technol. Eng. Syst. J. 6(1), 153-163 (2021); DOI: 10.25046/aj060117 https://astesj.com/v06/i01/p17/.

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Rudzani Mulaudzi and Ritesh Ajoodha. Application of deep learning to forecast the South African unemployment rate: a multivariate approach. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI:10.1109/CSDE50874.2020.9411581. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411581

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Yaseen Essa, Ritesh Ajoodha and Hugh Hunt. Evaluation: A Long-Short-Term-Memory Recurrent Neural Network Model for Lightning Flash Prediction within Southern Africa using historical time-series data. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI:10.1109/CSDE50874.2020.9411544. Electronic ISBN:978-1-6654-1974-1. Print

on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411544

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Lomthandazo Matsane, Ritesh Ajoodha, and Ashwini Jadhav. The use of Automatic Speech Recognition in education for identifying attitudes of the Speakers. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. DOI: 10.1109/CSDE50874.2020.9411528. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411528

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler,  and Hlanganani Tutu. Application of Artificial Neural Networks to Forecast Discharge Rates: A Case Study of the Grootfontein Aquifer. 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Publisher: IEEE. Gold Coast, Australia. pp. 1-6. DOI:10.1109/CSDE50874.2020.9411554. Electronic ISBN:978-1-6654-1974-1. Print on Demand(PoD) ISBN:978-1-6654-2991-7. https://ieeexplore.ieee.org/document/9411554

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Yolanda Kanyama, Ritesh Ajoodha, Helen Seyler, Ndivhuwo Makondo, and Hlanganani Tutu. Application of Machine Learning Techniques in Forecasting Groundwater Levels in the Grootfontein Aquifer. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.20 20.9334142, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334142.

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Nastassja Philippou, Ritesh Ajoodha, and Ashwini Jadhav. Using Machine Learning Techniques and Matric Grades to Predict the Success of First Year University Students. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-5, DOI: 10.1109/IMITEC50163.2020.9334087, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334087.

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Ndiatenda Ndou, Ritesh Ajoodha, and Ashwini Jadhav. A Case Study: Educational Data mining to Determine Student Success at Higher Education Institutions. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, doi: 10.1109/IMITEC50163.2020.9334139, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334139.

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Rudzani Mulaudzi and Ritesh Ajoodha. An Exploration of Machine Learning Models to Forecast the Unemployment Rate of South Africa: A Univariate Approach. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-7, doi: 10.1109/IMITEC50163.2020.9334090, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334090.

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Noluthando Mngadi, Ritesh Ajoodha, and Ashwini Jadhav. A Conceptual Model to Identify Vulnerable Undergraduate Learners at Higher-Education Institutions. The International Multidisciplinary Information Technology and Engineering Conference (IMITEC), Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.2020.9334103, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334103.

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Ritesh Ajoodha, Shalini Dukhan, and Ashwini Jadhav. Data-driven Student Support for Academic Success by Developing Student Skill Profiles. The International Multidisciplinary Information Technology and Engineering Conference, Kimberley, South Africa, 2020, pp. 1-8, DOI: 10.1109/IMITEC50163.2020.9334109, Electronic ISBN:978-1-7281-9520-9, Print on Demand (PoD), ISBN:978-1-7281-9521-6 https://ieeexplore.ieee.org/document/9334109.

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Ndiatenda Ndou, Ritesh Ajoodha, and Ashwini Jadhav. A Case Study to Enhance Student Support Initiatives Through Forecasting Student Success in Higher-Education. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Innovation in Computing, Engineering Sciences & Technology. Volume 6, Issue 1, Page No 230-241, 2021. Adv. Sci. Technol. Eng. Syst. J. 6(1), 230-241 (2021); DOI: 10.25046/aj060126 https://astesj.com/v06/i01/p26/.

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Gcobisile Matafeni and Ritesh Ajoodha. Using Big Data Analytics to Predict Learner Attrition based on First Year Marks at a South African University. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 5, Issue 5, Page No 920-926, 2020. Adv. Sci. Technol. Eng. Syst. J. 5(5), 920-926 (2020); DOI: 10.25046/aj0505112 https://astesj.com/v05/i05/p112/

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Ritesh Ajoodha and Benjamin Rosman. Learning the Influence between Partially Observable Processes using Score-based Structure Learning. Advances in Science, Technology and Engineering Systems Journal. Special Issue on Multidisciplinary Sciences and Engineering. Volume 5, Issue 5, Page No 16-23, 2020. DOI: 10.25046/aj050503. https://astesj.com/v05/i05/p03

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Tamlin Love and Ritesh Ajoodha. Building Undirected Influence Ontologies Using Pairwise Similarity Functions. International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 2020, pp. 1-6, doi: 10.1109/SAUPEC/RobMech/ PRASA48453.2020.9040984. Electronic ISBN:978-1-7281-4162-6, Print on Demand (PoD), ISBN:978-1-7281-4163-3 https://ieeexplore.ieee.org/document/9040984. Code available at https://anonymous.4open.science/r/CLUE_SSDP-4425.

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Tasneem Abed, Ritesh Ajoodha, and Ashwini Jadhav. A Prediction Model to Improve Student Placement at a South African Higher Education Institution. 2020 International SAUPEC/RobMech/PRASA Conference, Cape Town, South Africa, 2020, pp. 1-6, doi: 10.1109/SAUPEC/RobMech/PRASA48453.2020.9041147. Electronic ISBN: 978-1-7281-4162-6, Print on Demand (PoD), ISBN: 978-1-7281-4163-3 https://ieeexplore.ieee.org/document/9041147.

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Ritesh Ajoodha and Benjamin Rosman. Advancing Intelligent Systems by Learning the Influence Structure between Partially Observed Stochastic Processes using IoT Sensor Data. AAAI SmartIoT: AI Enhanced IoT Data Processing for Intelligent Applications, New Orleans Riverside, New Orleans, Lousiana, USA., May 2018. https://aaai.org/ocs/index.php/WS/AAAIW18/paper/download/16840/15567.

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Ritesh Ajoodha and Benjamin Rosman. Tracking Influence between Naive Bayes Models using Score-Based Structure Learning. The Pattern Recognition Association of South Africa (PRASA). DOI: 10.1109/RoboMech.2017.8261134 https://ieeexplore.ieee.org/document/8261134.

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Ritesh Ajoodha, Richard Klein, Marija Jakovljevic. Using Statistical Models and Evolutionary Algorithms in Algorithmic Music Composition. In Khosrow-Pour Mehdi, editor, The Encyclopedia of Information Science and Technology, 3rd edition, IGI Global: International Publisher of Progressive Academic Research Books and Journals. Volume 10, Number doi:10.4018/978-1-4666-5888-2, pages e37893, Hershey, Pennsylvania, United States. 2015. https://www.igi-global.com/book/encyclopedia-information-science-technology-third/76156.

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Ritesh Ajoodha, Richard Klein, Benjamin Rosman. Single-labelled Music Genre Classification using Content-based Features. Pattern Recognition Association of South Africa, IEEE. Port Elizabeth, South Africa. DOI: 10.1109/RoboMech .2015.7359500.  https://ieeexplore.ieee.org/document/7359500.

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Dissertations and Theses

Wandile K. Bayesian network approach to lightning groundstrike points analysis. Supervised by Dr. Ritesh Ajoodha and Dr. Hugh Hunt. The University of the Witwatersrand, South Africa. 2022.

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Grace Lingandu Mabele. Forecasting the Usage of Groundwater in a Semi-Arid Region using Machine Learning Techniques. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2022.  (Degree awarded with Distinction)

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Yaseen Essa. Thunderstorm Severity Prediction for South Africa between 2015 to 2016 using LSTM Model Variants and Remote Sensing Instruments. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha and Dr. Hugh Hunt. The University of the Witwatersrand, South Africa. 2022.  Code Available here. (Degree awarded with Distinction)

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Tamlin Love. Learning Who to Trust: Policy Learning in Single-Stage Decision Problems with Unreliable Expert Advice. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha and Prof. Benjamin Rosman. The University of the Witwatersrand, South Africa. 2022.  Code Available here: https://github.com/tamlinlove/CLUE_SSDP (Degree awarded with Distinction)

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Rudzani Mulaudzi. A Machine Learning Approach to Quantifying and Relating the Determinants of Unemployment in South Africa. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2021. Data Link:  https://drive.google.com/drive/folders/1XkEJBryoZd3rh-9VwRElw34sh6nJuwT1 (Degree awarded with Distinction)

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Yolanda Kanyama. Application of machine learning techniques in predicting groundwater levels and discharge rates in the North West aquifers. MSc Dissertation. Supervised by Dr. Ritesh Ajoodha and Dr. Hlanganani Tutu. The University of the Witwatersrand, South Africa. 2021. https://github.com/yolanda345/Master-s-thesis-.git (Degree awarded with Distinction)

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Eluwumi Folake Buraimoh. Predicting Student Success Using Student Engagement in the Online Component of a Blended-Learning Course. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha and Dr. Kershree Padayachee. The University of the Witwatersrand, South Africa. 2021. http://wiredspace.wits.ac.za/

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Noluthando Mngadi. A Theoretical Model to Predict Undergraduate Learner Attrition using Background, Individual, and Schooling Attributes. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za/handle/10539/31091 (Degree awarded with Distinction)

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Evans Molahlegi Thulare. An Empirical Analysis and Application of the Expectation-Maximization and Matrix Completion Algorithms for Varying Degrees of Missing Data. MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za.

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Macdaline Raisibe Mathye. A Theoretical Model To Predict Undergraduate Attrition Based On Background And Enrollment Characteristics.  MSc Mini-dissertation. Supervised by Dr. Ritesh Ajoodha. The University of the Witwatersrand, South Africa. 2020. http://wiredspace.wits.ac.za/handle/10539/30996

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Ritesh Ajoodha. Influence Modelling and Learning between Dynamic Bayesian Networks using Score-based Structure Learning. Ph.D. Thesis. Supervised by Dr. B. Rosman. The University of the Witwatersrand, South Africa. 2018. http://wiredspace.wits.ac.za/handle/10539/25760.

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Ritesh Ajoodha. Automatic Music Genre Classification. Masters Dissertation. Supervised by Dr. B. Rosman and Dr. R Klein. The University of the Witwatersrand, South Africa. 2016.  http://wiredspace.wits.ac.za/handle/10539/18554 (Degree awarded with Distinction)

Ritesh Ajoodha. Context-free Grammars, Gaussian Distributions and Evolutionary Algorithms in Algorithmic Music Composition. Research Report. Supervised by Dr. R. Klein. The University of the Witwatersrand, South Africa. 2015. 

Research Reports

Vukosi Moyane. Analysis of MFCCs and Data Augmentation in Music Classification by Genre on Deep and Traditional Machine Learning Models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Sibongakonke Kubheka. Deep-Learning Approach for Real-Time Object Detection in Self-Driving Systems. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Suraksha Motilal. Convolutional Neural Network Model Building for Future Medicinal Plant Recognition. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Mmasehume Raphiri. A Bayesian Approach to University Venue Allocation. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Nontsikelelo Qebengu. A Bayesian-LSTM approach to detect and predict traffic congestion on roads in England. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Langiwe Mwale. Classification of Music by Genre using Machine Learning. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Andile Thabethe. Expectation Maximization Imputation in Forecasting the Rate of Unemployment in South Africa. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Aobakwe Sephiri. Algorithmic Music Composition Using Markov Chain Monte Carlo. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Makoko Manape. Automatic Labelling of Student Results as PCD, RET, MBR and MRNM. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Mohammed Gathoo. The Influence of Clarity on Career Choice and Academic Success in First Year. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Rushil Patel. LBCNNSVM: Local Binary Convolutional Neural Network Support Vector Machine for Facial Expression Recognition. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Faisal Saleem. The Influence of Clarity on Career Choice and Academic Success in First Year Biology. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Umair Bham. Library Book Classification Using Topic Modelling. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Khanani Mathebula. Water quality prediction using machine learning models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Mokgethoa Papola. Predicting the price of the FTSE/JSE Top40 Index using RNN Based models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Best Banda. Automatic Music Genre Classification. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Prince Muleya. An Analysis of COVID-19 and its impact on Educational Stress. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2022

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Ankonisaho Nenungwi. Classification of Suicide Data Using the Nave Bayes Classifier Algorithm. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Onesm Mokoena. Biological Invasions in the USA. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Babalwa Nhose. A CNN based model to forecast the South African Unemployment Rate. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Khanyisile Sixhaxa. Predicting Students Performance In Exams Using Machine Learning Techniques. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Khomotjo Mathabatha. Forecasting Student GPA using Data from Kaggle. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Zinhle Ndlovu. An Extensive Exploratory Data Analysis of the Kaggle Machine Learning and Data Science Survey Based on Education, Language and Salary. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Charlotte Savage. The Effects of Data Augmentation on Convolutional Neural Network Performance in Plant Disease Recognition. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Ndaedzo Makgatho. Using Traditional Machine Learning Algorithms to Classify Lightning Occurrence. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Mpho Nefale. Using numerous biographical and enrolling observations to predict student performance. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Nduvheni Mulavhelesi. The identification of edible plants using supervised machine models for traditional medicine. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Mulweli Mudau. Student Outcomes Prediction by used of Machine Learning. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Lenny Bokgoshi. Predicting Students That Are At Risk Of Not Graduating In Record Time. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Shiluva Claudia Kubayi. Forecasting Student Second Year Academic Outcome. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Takalani Mufamadi. Crop Recommendation using Machine Learning Algorithms and Soil Attributes Data. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Ahmad Soni. A Solution to the University Timetabling Problem using Graph Colouring. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Brenton Budler. Comparative Analysis of Deep Learning Models for Network Intrusion Detection Systems. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Chloë Smith. Galaxy Zoo: Data Augmentation and Loss for Galaxy Morphology Classification. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Davis Moswedi. Music Classification Using Fourier Transform and Support Vector Machines. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Erin Ollewagen. Mapping Chordal Progressions from the Magnitude Spectrum to Symbolic Notation. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Manuel Fokam. Influence of Contrastive Learning on Source Code Plagiarism Detection through Recursive Neural Networks. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Jonas Chirindza. Machine Learning Approaches To Stroke Prediction Based On The Framingham Cardiovascular Study Dataset. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Kabelo Komape. Classifying lightning events in low-quality webcam footage using a CNN-RNN algorithm. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Maisngita Rikhotso. Comparing a 5 traditional machine classifiers against deep learning approaches in the task of music genre classification. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Thabo Rachidi. Predicting the success of tech startups in South Africa. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Mtuthuko Mngomezulu. A Content-Based Collaborative Filtering Movie Recommendation System using Keywords Extractions. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Nasiem Ayob. Library Book Classification Using an LDA Model. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Nhlalala Maluleke. Visual Simultaneous Localisation And Mapping: Challenges and Improvements. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Philani Mpofu. Generating Frank Ocean Music Using Deep Learning. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Siphesihle Ndhlovu. Mood-Based Music Recommendation System: Optimal GMM Clustering. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Siyabonga Hlomuka. To what extent do mark expectations of first years align with their academic achievement within biology based degrees at a South African university? School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Sizwe Mzila. Using Neural Networks to Predict Lightning Occurrences. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Tarshen Naidoo. Filter Detection using a VGG16 based neural network. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Thabo Makola. Using Feature Engineering Techniques to Improve Multivariate Model Forecasting of the South African Unemployment Rate. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Themba Ngobeni. Satellite image classification using HOG and DAISY Feature Descriptors. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Bohlokoa Tilo. The Effects of Filter, Wrapper, and Embedded Feature Selection on Forecast Accuracy of the South African Unemployment Rate. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Khumo Tsagae. Predicting Student Performance using the APS based on a Conceptual Model. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Mashaole Masekwameng. A Hybrid Approach for Music Classification and Recommendation through Genre Feedback. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Tebogo Mojela. Using Hybrid Models Made of Two Neural Networks to Forecast Groundwater Levels in the Grootfontein Aquifer. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Tshepang Motaung. Predicting Students At-Risk Using Deep Learning Neural Network. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Xolani Mti. The Influence of Interest in a Career Field and Academic Success in First Year Biology Students. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Prof. Ritesh Ajoodha. 2021

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Darren Kevin Blackwell. A Bayesian Approach to Understanding the Influence of Traffic Congestion given the Road Structure. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Dhevan Stephen Lau. Music Genre Classification: A Comparative Study Between Deep-Learning And Traditional Machine Learning Approaches. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Marc Marsden. Algorithmic Music Composition Using Probabilistic Graphical Models and Artificial Neural Networks. Big Data Analytics. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Nastassja Jacqueline Philippou. Using Machine Learning Techniques and Matric Grades to Predict the Success of First Year University Students. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Ndiatenda Ndou. A Case Study to Enhance Student Support Initiatives through Forecasting Student Success in Higher-Education. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Skhumbuzo Salmon Dube. Improving Library Book Retrieval By Using Topic Modeling. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Thabo Victor Ramaano. Different Models Relating Prior Computer Experience with Performance in First Year Computer Science. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2020.

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Tristan K. Nagan. Evaluating the Performance of Hybrid Quantum-Classical Convolutional Neural Networks on NISQ Devices. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Tshepo Nkambule. Classification of Music by Genre using Probabilistic Models and Deep Learning Models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Harmony Mncube. Predicting student Performance using first year marks. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2020.

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Tasneem Abed. A Programme recommendation engine: Predicting student performance in Degrees. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha and Dr. Ashwini Jadhav. 2019.

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Jared Naidoo. Identifying at risk students using Biographical and Enrolment observations in the Earth Sciences. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Prince Ngema. Predicting student performance using Enrolment Figures. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Luyanda Makhoba. Using Psychometric Data and matric marks to recommend suitability for a degree. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Tamlin Love. Building Bayesian Influence Ontologies. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2019.

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Uvir Bhagirathi. Automatic Venue Allocation. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2018.

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Vaughn Ho. Content-based Music Recommendation Using Probabilistic Models. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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Gcobisile Matafeni. Predicting the Completion of a Student's Science Degree based only on their First-year Marks. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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Jettiniel Chepiri. Automatic Labelling of Student Results as PCD, RET, MBR and MRNM. School of Computer Science and Applied Mathematics. The University of the Witwatersrand, Johannesburg. Supervised by Dr. Ritesh Ajoodha. 2017.

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