BEng (Computer Engineering), MBA, Master of Computer Science
Shadi Jaradat is a research scholar at the Queensland University of Technology in Australia. He completed his master’s in Computer Science from the University of Queensland. His research interest lies in the field of data analytics, deep learning, Natural Language Processing, text analytics, artificial intelligence, transfer learning, and traffic safety. He also has expertise in quantitative research methods, extracting information from Big Data.
DOCTORAL RESEARCH
Mining reported crash data to improve road safety: Integrating big data and natural language processing
THESIS SUPERVISORS
Dr Mohammed Elhenawy, Professor Alexander Paz and Professor Richi Nayak
RESEARCH INTERESTS
- Machine Learning
- Pattern recognition
- Intelligent Transport Systems (ITS)
- Natural Language Processing (NLP)
- Artificial Intelligence
- Transfer learning
- Data representation
- Road safety
AWARDS
- 2022 QUT Postgraduate Research Award (QUTPRA) (International)
- 2022 QUT HDR Tuition Fee Sponsorship
- 2019 Australian Postgraduate Scholarship
- UQ Wonder of Science initiative
TEACHING
- Web Programming (HTML, PHP, JavaScript, MySQL)
- Introduction to Computer Systems
- Database Systems