Sourav is a highly motivated PhD candidate focusing on mechanical engineering at the University of Melbourne. Throughout my doctoral research, I've honed my skills in C, C++, python, machine learning, and mathematical modelling, GPU Cuda, contributing to advancements in multiscale modelling of interfaces in high-temperature, advanced materials. This work not only reflects his commitment to pushing the boundaries of knowledge in mechanical engineering but also showcases his adaptability and proficiency in diverse technical domains.

Farshid is a PhD Student at Western Sydney University. His research is focused on Structural Health Monitoring of Timber Bridges via non-destructive testing (NDT) and Artificial Intelligence (AI). He is also investigating the behavior of connections in engineered-timber products, such as cross-laminated timber (CLT) and Glulam, and the properties of thermally modified timber are my research interests.

Qifan Deng is a highly skilled digital analyst and software engineer with expertise in cloud computing, data analysis, and software development. With a solid academic background in computer science and a current focus on cloud and distributed systems research, Qifan is passionate about exploring intelligent transportation technologies to enhance urban transport efficiency. Seeking an internship opportunity, Qifan aims to gain valuable industry experience to complement research efforts and alleviate financial constraints, furthering both professional and academic pursuits.

Michelle's research interests lie in behavioural and experimental economics, and consumer finance. She has experience running individual behavioural and mass online studies to understand how people make decisions. She is skilled in multiple programming languages and softwares, including Python, R and C#, Unity and Tobii (eye-tracking). Michelle would like the opportunity to apply her research to real-world problems.

Lucas' research interests include quantum information, error correction and computing. He has worked on R&D for a biomedical startup, and also on academic research in the fields of photonics as well as forecasting. He is a co-inventor of 2 patent applications. He has in-depth experience with high performance computing, numerical electromagnetic simulations, statistical modelling, and the programming languages C, R, Python, MATLAB, Julia and Java. Lucas would like the opportunity to work in industry following his PhD in quantum theory.

Xueyang Kang is a researcher exploring 3D reconstruction, deep learning for 3D data, computer vision, geometric graph representations, sensor fusion, robotic perception, SLAM. His expertise spans embedded systems, C++, Python, MATLAB, PyTorch, TensorFlow, PyG, DGL, CUDA, OpenCV, and ROS 1 and ROS 2, Ubuntu. Xueyang seeks an internship to gain industry experience and advance innovations in 3D computer vision, robotics. Internship would allow him to collaborate on real-world problems, and further develop his abilities in transitioning research into practical applications.

Hualin is passionate about acoustic signal processing, where she blends traditional techniques and machine learning to generate immersive spatial audio and explore spatial audio quality. With expertise in machine learning and artificial intelligence, and proficiency in Python and MATLAB, she aims to apply her research in practical commercial contexts.

Rohan's focus is on particulate soil mechanics using Discrete Element Modelling (DEM). He studies soil fabric's impact on internal erosion, specifically suffusion with DEM-based Particle Flow Code (PFC-3D). Seeking internship to enhance practical skills and academic research, fostering future career prospects. Additionally, participating in an internship can provide him valuable insights and perspectives that enhance their doctoral studies and future career prospects.

Tian's research interests mainly focus on designing waveforms for integrated sensing and communications. His research experience equips him with solid knowledge in communications theory, radar signal processing and optimisation theory, and Matlab programming. He also has experience using Python and machine learning in coursework subjects and projects. Tian would like the opportunity to solve commercial problems in the industry with his knowledge and skills.