LAishwarya's research focuses on Social NLP (Natural Language Processing), which focusses on approaches and techniques to use existing language models to generate text that is non-toxic, empathetic and user friendly. She is interested in Dialog systems with applications related to healthcare. She has skills in machine learning, artificial intelligence, and has worked with popular models like GPT2 and more recent large language models.

Luyi's research interests include statistical modeling, time series analysis, and spatial modeling. Luyi has practical experience in stock market and precipitation prediction, and is proficient in using the R and Python programming languages. Luyi seeks to apply these analytical skills in a commercial setting.

Waleed’s research interests lie in applied statistics, machine learning (ML) and Bayesian statistics. In each area, his work will strive for a balance between consistent application methods in the practice of statistics in real-world problems and in more innovation in statistics. Applications include various problems in statistics, machine learning, health, social media, environment and society.

Soobok Yoon is a PhD candidate focusing on solving charging scheduling issues for electric vehicle fleets and optimizing the infrastructure design and investment strategies of smart charging systems. He is skilled in mathematical modelling and algorithm design, with extensive experience in MATLAB/Simulink programming. Through this internship, he aims to comprehensively understand the energy market's working principles and acquire expertise in developing energy trading systems.

Karina is a final year PhD student at the University of New South Wales, interested in exploring novel approaches to target neurocognitive risk factors for psychological disorders in adolescents through cognitive training interventions as a Scientia Scholar. She has extensive experience in behavioural experimental design and using R programming language. Karina would like the opportunity to apply her research knowledge and skills in real-world projects.

Asifa is deeply invested in Machine Learning, with a focus on distributed systems, and Cloud Computing on AWS. Proficient in Python, RDBMS, PHP, HTML, CSS, and JavaScript, she's eager to leverage her skills in practical projects and contribute to pioneering solutions through an internship opportunity.

Sonam's research interests include LiDAR data processing, plant ecology and ecosystem modelling. He is also skilled in and has extensive experience using R, Python, C++ Fortran and Matlab programming languages in the above fields. Sonam is interested in any opportunities related to applications of LiDAR technologies and ecosystem modelling to improving ecosystem management and carbon estimation for diverse ecosystems and future conditions.

Mustafijur Rahman, a Ph.D. researcher at Center for Materials Innovation and Future Fashion in RMIT University, holds an M.Sc. from the University of Manchester. His expertise spans medical implant fabrication, biomedical textiles, nanomaterials, nanotechnology, tissue engineering, and novel medical dyes. Eager to contribute to innovative research, Mustafijur seeks a research internship to further enrich his interdisciplinary skills and knowledge.

Oliver's research interests include wireless communications waveform design, statistical signal processing, coding and algorithm development. He is skilled in developing detection and decoding algorithm for wireless communications and has extensive experience using Matlab, C programming languages. Oliver would like the opportunity to apply his research expertise in real world projects.