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Nur Haldar is a Lecturer in the School of Physics, Mathematics, and Computing at the University of Western Australia. His research focuses on intelligent data systems, including data science, graph-driven analytics, machine learning, and cybersecurity. Haldar's work is positioned at the intersection of large-scale data management and intelligent decision-making, while he has a particular interest in graph structures, hyperparameter optimization, and trustworthy artificial intelligence. Prior to his current role, Haldar served as a Lecturer at Curtin University and has contributed to multiple industry-aligned research projects in areas such as smart infrastructure optimization, digital agriculture, and AI-enhanced education. He has supervised students at various academic levels, including Honours, Master's, and PhD candidates, and has been involved in interdisciplinary initiatives that bridge data science, DevOps, and intelligent automation. Haldar has held several roles at notable organizations, including Research Fellow and Associate Lecturer at the University of Western Australia, and Senior Researcher at King Saud University. He has a proven academic background with contributions to multi-institutional applied research projects and industry partnerships, strengthening collaborations between academia and industry to address practical challenges.
University of Western Australia • Perth, Australia
Lecturing in the areas of data science, computing, and cybersecurity.
University of Western Australia • Perth, Australia
Conducted fundamental applied research on data-driven intelligent systems.
King Saud University • Riyadh, Saudi Arabia
Engaged in applied research projects.
Mahindra Comviva Technologies • India
Developed software solutions for various technological needs.
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