Dr. Nur Al Hasan 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, spanning data science, graph-driven analytics, machine learning, cybersecurity, and knowledge-centric AI. He works at the intersection of large-scale data management and intelligent decision-making, with particular interest in graph structures, hyperparameter optimisation, and trustworthy AI to improve the performance and reliability of real-world computational systems. Haldar completed his PhD in Computer Science at The University of Western Australia in 2021, with the thesis titled "Personalized Location Selection in Large-scale Geo-social Networks." His doctoral research was supported by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Data61 scholarship and a postgraduate researcher position from 2018 to 2021. His career includes previous roles as Post-Doctoral Research Fellow and Associate Lecturer at UWA, Lecturer at Curtin University—where he taught and coordinated units in computer science, software engineering, and cybersecurity, supervised Honours, Master's, and PhD students, and contributed to industry-aligned projects in smart infrastructure optimisation, digital agriculture, critical mineral processing, and AI-enhanced education—Senior Researcher at King Saud University in Riyadh, Saudi Arabia, and Senior Software Engineer at Mahindra Comviva Technologies Ltd. in India.

Haldar has received several awards, including Third Prize in the Alpha Innovation Contest 2018, a Travel Award in 2020, Top-up Scholarship in 2019, and CSIRO Data61 Scholarship in 2018. Key publications include his PhD thesis (2021), "AI-generated content in cross-domain applications: Research trends, challenges and propositions" (Knowledge-Based Systems, 2025), "Deepfake Detection with Spatio-Temporal Consistency and Attention" (2025), "Dynamic watermarks in images generated by diffusion models" (IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025), and "Image Watermarking of Generative Diffusion Models" (2025). His work has garnered over 796 citations according to Google Scholar. He has served on programme committees for the 38th IEEE International Conference on Data Engineering (2022), The Web Conference 2023, and 31st ACM International Conference on Information and Knowledge Management (2022), and acts as a reviewer for ACM Web Conference 2026. Haldar is committed to fostering collaborations between academia, industry, and government through multi-institutional projects addressing trustworthy large language models, secure software pipelines, personalised AI-driven learning systems, and intelligent workload optimisation for smart compute environments.

Professional Email: nur.haldar@uwa.edu.au