Lieu's research delves into enhancing cybersecurity using advanced AI techniques, particularly focusing on the application of Large Language Models (LLMs) in Natural Language Processing (NLP) to analyze and interpret cyber threat intelligence. Ultimately, her thesis represents a significant stride in combining AI, cybersecurity, and data science to create more robust digital defense mechanisms.

Clinton's research seeks to develop universal representations and applications of data features learned from non-standardised human motion datasets. Clinton's work involves a high affinity towards computational geometry, Python development, and graphics data visualisations, in order to produce artificial intelligence solutions with extremely low error tolerances.

Quang Du has a deep passion for artificial intelligence and its applications in structural health monitoring. Quang Du is skilled in data processing, deep learning, natural language processing, and generative AI and is experienced in Python programming and deep learning frameworks such as Pytorch, Numpy, and Pandas. Quang Du seeks an internship to apply his research in the industry context.

Lily's research contributes to Prefabricated Construction, Modular Construction, Logistics Planning, Sustainability and Decarbonisation, and Operations Research disciplines. She is skilled at mathematical optimisation and simulation modelling, and is proficient in programming languages Python and Matlab, and simulation software AnyLogic. Lily seeks an internship opportunity to gain valuable practical experience and further develop her skillset.

Masoud Kamali is a PhD student at the University of Melbourne. Masoud’s PhD research centres on the development of spatially-enabled 3D asset recognition for complex environments. As a AI researcher, and full-stack developer, he has undertaken multiple research and development projects related to 3D computer vision and object detection, as well as web-based and mobile applications in the geospatial industry.

Amin is researching local decentralized renewable energy markets, with the goal of comprehending market dynamics and creating tools to optimize advantages for homeowners utilizing solar energy. Throughout his research journey, skills have been developed in operations research, numerical simulations, and data analysis using Python, alongside gaining proficiency in blockchain smart contracts. Amin would like to engage in an internship to gain industrial insight and apply his skills and research in practice.

Fang is interested in understanding, analyzing, and building effective digital health tools. She wants to work on real-life projects during an internship, where she can bring her expertise and build effective real-life digital health platforms.

Eliza is a PhD candidate in the School of Agriculture, Food and Ecosystem Sciences. Her research explores alternative management options to increase the number and diversity of insectivorous birds within forestry plantations and mixed-use landscapes. In partnership with PF Olsen and BirdLife Australia, Eliza is developing field experiments to investigate: the benefits of bird diversity in providing pest control and the biodiversity values of commercial forestry plantations.

Songyan is a PhD candidate specialising in Human-Computer Interaction, with interests and experience in smartphone sensing, natural language processing (NLP), and large language models (LLMs). He is passionate about programming and creating new tools for people to use. His expertise includes extensive experience with the Python language and web development. Songyan is keen on applying his research skills to address problems and challenges in the industry.