Dr. Shadi Jaradat is a research scholar at Queensland University of Technology in Australia and a lecturer at Victoria University, James Cook University, and the Australian Institute of Higher Education (AIIHE). He received his BEng in Computer Engineering and completed his Master's in Computer Science from the University of Queensland. He is a Member of Engineers Australia and a VETASSESS-accredited lecturer. His research interests lie in the fields of data analytics, deep learning, Natural Language Processing (NLP), text analytics, artificial intelligence, transfer learning, and traffic safety. He also has expertise in quantitative research methods and extracting insights from Big Data. In addition to his research, Dr. Jaradat teaches a range of courses, including but not limited to AI, machine learning, NLP, generative AI, data analytics, software engineering, and system analysis and design. His broader research interests include Machine Learning, Pattern Recognition, Intelligent Transport Systems (ITS), AI-driven Data Representation, and Road Safety.