Siya Wang is interested in complex geometry modelling, CAE analysis, workflow automation, and 3D/4D printing.

Amir's research applies machine learning and large language models to accelerate catalyst discovery for CO2 reduction. He is skilled in interpretable ML, scientific NLP, and production data analytics, drawing on seven years of mechanical engineering experience across energy and healthcare. Amir is interested in an internship to apply his research to real-world industrial challenges.

Sohaib Dastgoshade is a PhD candidate in Supply Chain and Logistics Management at RMIT University, specializing in optimization, artificial intelligence, and sustainable operations. His research focuses on data-driven modeling of donor management and resilient supply networks. He seeks an internship to apply analytical and optimization skills to real-world decision-making challenges in industry.

Rajan Paudel has experience with bank and financial institutions, being that he was a Branch Manager for two years before coming to Australia. He graduated from Pokhara University with an MBA in 2022. Now he wants to experience work culture in Australia.

Samira Ghafari Gousheh is a data-driven researcher specialising in modelling human responses using large-scale observational datasets (ASHRAE) and physiological signals (EEG). She develops end-to-end analytical pipelines incorporating feature selection, validation, and interpretability. She aims to apply these methods to biomedical data and contribute to robust, clinically meaningful biomarker discovery.

Gary is an ICT PhD researcher with interests in educational technology, generative AI, learner capability development, and technology-enhanced higher education. He has skills in literature synthesis, mixed-methods research, data analysis, and AI-based prototype design. He is interested in an APR.Intern placement to apply EdTech research to real industry challenges.

Saghar Ali Rabbani is a PhD candidate in Biomedical Engineering at Swinburne University, researching computational neuromodulation for hypertension treatment. His expertise includes engineering design and analysis and biomedical modelling. He is interested to apply his research skills in a real-world industrial project as in product development or healthcare environment while gaining industry experience through an internship.

A Master of Research student in Information Technology at Swinburne University, specializing in natural language processing, data analysis, and recommendation systems. With three years of software development experience, currently seeking an internship to apply technical and research expertise to real-world industry challenges and innovative solutions.

Nhu Thao Huynh is passionate about translational research in nanotechnology, biomaterials, drug delivery, tissue engineering and advanced treatments for auto-immune diseases. As a dedicated and science-driven researcher, she aspires to design innovative drug delivery systems that can enhance therapeutic efficacy by integrating chemistry, immunology and engineering.