Dr. Sabbir Ahmed is a Lecturer in Information Technology at the University of South Australia with over a decade of experience in teaching, research, and curriculum development in Computer Science and Software Engineering. He holds a PhD in Data Science from the University of South Australia, where his research focused on data analytics and sustainability in municipal waste management through smart technologies. His academic background also includes a Master’s and Bachelor’s in Software Engineering.Dr. Ahmed has taught a wide range of undergraduate and postgraduate courses across multiple Australian institutions, including UniSA, Torrens University, and AIH. His teaching expertise spans areas such as relational databases, software engineering, cloud computing, data analytics, blockchain, and user experience design. He is skilled in delivering content through online, blended, and in-person learning environments, and has coordinated courses involving assessment design, practical supervision, and tutor management.His research interests lie at the intersection of data analytics, privacy-preserving computing, environmental sustainability, and smart systems. He has published extensively in international conferences and journals, with notable work on smart waste management, digital twins, blockchain applications, and software design. His work has received media coverage and recognition for its societal impact.In addition to academia, Dr. Ahmed brings industry experience as a former software engineer in Bangladesh, where he contributed to multiple web-based system developments using agile methodologies. He has also recently worked as a Postdoctoral Research Fellow at Flinders University, contributing to machine learning and quantum optimization for digital twin systems.Dr. Ahmed is an Associate Member of the Australian Computer Society and has actively participated in various professional and community leadership roles, including IEEE, ISUniSA, and student societies. He is passionate about advancing research that solves real-world problems and mentoring the next generation of computing professionals.