Tevin Moodley

Dynamic Lecturer and Director at the University of Johannesburg, I have successfully led transformative cyber security initiatives and secured substantial funding for innovative upskilling programs. With a specialised expertise in computer vision and pattern recognition, my contributions significantly enhance both cyber security capabilities and data science research. I currently hold an h-index of 4. I am committed to driving industry excellence and academic advancement, evidenced by my impactful work that bridges theory and practice in a rapidly evolving digital landscape.

• BCS professional membership certification (2018 - present)

• Nomiated as a Young scientist at the 8th BRICS Young Scientist Forum and Innovator 2023.
• 2021 – Play Africa Interview, In 2021, I gave a talk surrounding STEM to various primary schools through Play Africa. The initiative was to get young children in Africa excited by STEM.
• 2021 – ISET Magazine, In 2021, I had the opportunity to share my journey in the ISET magazine, shedding light on the vibrant and challenging life of being a young lecturer and researcher. This feature aimed to draw the community into the heart of academia, offering insights into what it truly means to contribute to knowledge and learning at a youthful stage in one's career.
• 2022 – EurekAlert Interview, In 2022, I was interviewed by EurekAlert about a research article that I wrote surrounding my research: https://www.eurekalert.org/news-releases/951780
• 2022 – BBC Article, I was featured in an article by the BBC in 2022 that speaks about how I aim to help the next generation of cricketers in south Africa by using my research: https://www.bbc.com/news/business-63646696
• 2024 – Study International Article, In 2024 I featured in an article titled: University of Johannesburg: Pioneering research and innovation for a sustainable future that highlights my research areas to the wider community. https://studyinternational.com/news/university-of-johannesburg-pioneering-research-and-innovation-for-a-sustainable-future/

Honours subjects:

• Introduction to IT Project Management (2020 - 2024)
• New Systems Development Paradigms (Computer Vision) (2024 - present)

Undergraduate

• Data Communications (2019 - present)
• Introduction to Programming (2018 - 2021)
• Software Engineering (2021 - present)

• Third year teams: 40 teams (2018 - present)
• Honours students: 6 students (2022 - present)
• Masters students: 2 students (2023 - present)

• Projects day Exhibitors (2022 - 2024) - approx. R100 000
• Thuthuka NRF (2023 - 2024) -approx. R200 000
• Google AI/JBS/ACSSE Initiative (2025-2026) - approx. R2.5 Million
• Security State Agency (2023 - 2024) - approx. R450 000

2024

• Evans, M.R. and Moodley, T., 2024, June. IT Project Management Complexity Framework: Managing and Understanding Complexity in IT Projects in a Remote Working Environment. In International Conference on Human-Computer Interaction (pp. 27-37). Cham: Springer Nature Switzerland.
• Marciano, V. and Moodley, T., 2024, February. IT Project Resilience: Navigating Challenges and Gaining Insights from the COVID-19 Pandemic. In International Congress on Information and Communication Technology (pp. 533-543). Singapore: Springer Nature Singapore.

2023

• Moodley, T. and Sithungu, S., 2023, July. Detecting Minors According to South African Law Using Computer Vision Methods. In International Conference on Human-Computer Interaction (pp. 491-497). Cham: Springer Nature Switzerland.
• Walker, K.L. and Moodley, T., 2023. Handwriting Recognition in Down Syndrome Learners Using Deep Learning Methods. In VISIGRAPP (4: VISAPP) (pp. 936-943).
• Marciano, V. and Moodley, T., 2023. Framework for IT Project Management During the COVID-19 Pandemic. In FEMIB (pp. 68-75).

2022

• Moodley, T. and van der Haar, D., 2022, November. CASA: Cricket Action Similarity Assessment in Video Footage Using Deep Metric Learning. In Southern African Conference for Artificial Intelligence Research (pp. 139-153). Cham: Springer Nature Switzerland.
• Moodley, T., van der Haar, D. and Noorbhai, H., 2022. Automated recognition of the cricket batting backlift technique in video footage using deep learning architectures. Scientific reports, 12(1), p.1895.

2021

• Moodley, T. and van der Haar, D., 2021. Cricket Scene Analysis Using the RetinaNet Architecture. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10–13, 2021, Revised Selected Papers 25 (pp. 197-206). Springer International Publishing.

2020

• Moodley, T. and van der Haar, D., 2020, July. Casrm: cricket automation and stroke recognition model using openpose. In International Conference on Human-Computer Interaction (pp. 67-78). Cham: Springer International Publishing.
• “Scene recognition using AlexNet to recognize significant events within a cricket game footage”, which has been accepted, to be presented at the International Conference on Computer Vision and Graphics 2020 in Warsaw, Poland.
• “CASRM: Cricket automation and stroke recognition model using OpenPose” which was accepted, presented at the 22nd international conference on Human-Computer Interaction 2020 in Copenhagen, Denmark, and to be published in Lecture Notes in Computer Science (ISSN: 1229-1269).

2019

• Publication: “Cricket Stroke Recognition using Computer Vision Methods,” which was accepted, presented at the International Conference on Information Science and Applications 2019 in Seoul, South Korea, and published in Lecture Notes in Electrical Engineering (ISBN: 9811514658, 9789811514654).