معرفی
Dr. Shahadat Uddin is a Senior Lecturer at the University of Sydney, holding dual positions in the School of Electrical and Computer Engineering and the School of Project Management within the Faculty of Engineering. He earned a PhD in Data Science (2011) from the University of Sydney, a Master's in Information Systems from Central Queensland University, and a Bachelor's in Computer Science from Bangladesh University of Engineering and Technology. His research focuses on AI, machine learning, and complex networks applied to health informatics and project analytics. Notably, he is recognized in the Stanford-Elsevier list of top 2% global scientists in AI and image processing since 2021.
Education:
- PhD in Data Science, University of Sydney (2011)
- Masters in Information Systems, Central Queensland University
- Bachelor in Computer Science and Engineering, Bangladesh University of Engineering and Technology
Research Interests: Dr. Uddin's work emphasizes ethical AI, equitable decision-making algorithms, and applications in healthcare and project management. His contributions include predictive models for adverse drug reactions, stakeholder network analysis in projects, and fairness assessment in deployed ML systems.
Awards:
- University of Sydney Strategic Research Fund Award (2024)
- World's top 2% Scientists in AI & Image Processing (2021–Present)
- Dean’s Research Award (2014), Research Excellence Award (2010)
Advising & Grants: He supervises projects like Tommy Zhou's work on adverse drug reaction prediction. His grants include the 2024 University of Sydney Strategic Research Fund. He also leads projects on predictive analytics and stakeholder engagement in projects.
Labs/Teams: Active collaborations with the Sydney Southeast Asia Centre and Charles Perkins Centre on interdisciplinary research.
