Dean van Aswegen is a lecturer with a background in aerospace engineering and a strong focus on artificial intelligence. His teaching and research experience spans robotics, computer vision, natural language processing, and MLOps. Prior to his current role, he lectured at the University of the Witwatersrand and held leadership positions in aviation tech startups, including CTO of a YCombinator-backed autonomous aircraft company. Dean is also part of a taskforce driving AI adoption across academic disciplines and frequently speaks on the future of AI and education.
Expertise
- MLOps
- AI Model Deployment
- AI Infrastrcture
- ML Engineering
- Robotics
Teaching
- MLOps and Cloud Engineering (Y2D)
- Advanced Programming Concepts II (Y2D)
- Robotics and Reinforcement Learning (Y2B)
Education
- M.Sc. Aeronautical Engineering, University of the Witwatersrand, 2016
- B.Sc. Aeronautical Engineering, University of the Witwatersrand, 2013
Courses & Certification
- Production Ready Code and MLOps – Xebia
- Applied Data Science and AI – MIT
- NVIDIA-Certified Associate: AI Infrastructure and Operations – Nvidia
- Machine Learning Engineering – The AI Edge
Publications
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Experimental and analytical investigation of the effects of laser shock peening processing strategy on fatigue crack growth in thin 2024 aluminium alloy panels DC Van Aswegen, C Polese International Journal of Fatigue 142, 105969 38 2021
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Vision Based Stability Augmentation and Attitude Control D van Aswegen Aeronautical Society of South Africa Conference 2019
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Curved jetting anomaly following conical shock wave reflection RT Paton, D van Aswegen 32nd International Congress on High-Speed Imaging and Photonics 11051, 44-49 2019