Haowei Huang

Current PhD student at the University of Technology, Sydney, specializing in artificial intelligence with a focus on deep ensemble methods for uncertainty quantification. Research aims to improve predictive models by advancing uncertainty measures through innovative techniques such as deep ensembles and hybrid Bayesian approaches. Expertise in deep learning, particularly in ensemble learning, has been applied to various real-world datasets. The work is focused on contributing to both academic advancements and practical applications in AI, promoting more reliable decision-making.

• Vending Machine, 08/01/20, Collaborated with 5 other teammates to create a java based program using agile development technique., The program features include a GUI for users to log in and purchase products and for owners to modify stock and exchanges., The program also can read and write from JSON files for the remaining product stocks and exchanges.
• Database Application, 08/01/20, Collaborated with 3 other students to create a website to display contents from Jupyter Notebook using MySQL., The project is based on Python flask.
• Website Development, 02/01/21, Collaborated with 3 other students to create a website with the focus of usability and security., The project is based on Java.
• Market Trading System, 02/01/22, A trading system written in C, with the usage of multi-process and process intercommunication.

• Dalyell Showcase - Reading minds, 02/01/19, The project is using a signal receptor to read signals generated by the brain. By processing the signal with MATLAB, one can determine the subjects are opening or moving their eyes.
• Honor Project: detect dark patterns at scale, 2023 Academic Year, The project is using a signal receptor to read signals generated by the brain. By processing the signal with MATLAB, one can determine the subjects are opening or moving their eyes.