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process natural language problem descriptions and translate them into executable code. This research seeks to streamline workflows across diverse domains, from software engineering to data engineering
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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enabled through science-based, collaborative and practice-oriented research. The program builds on nearly a decade of Living Lab interventions across Indonesia and Fiji through the Revitalising Informal
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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knowledge program analysis, fuzzing, software testing, natural language processing
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background in maths but no programming skills in languages such as C++. You will need to read and understand the previous work, and then learn to program in Coq. The research is to extend the existing work
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Science (C6009) - We have a number of scholarships available for this program between 30% and 50% of the tuition fees. Master of CyberSecurity (C6010) - - We have a number of scholarships available
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enjoy my learning experience in the Monash Engineering program. Am I eligible? You must be one of the following: An International student You must meet the following criteria: A commencing student
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Answering over Knowledge Bases. Journal of Web Semantics, 2020. Hua, Yuncheng; Li, Yuan-Fang; Haffari, Reza; Qi, Guilin; Wu, Wei. Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via
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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior