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 a particular interest in how graph structures, hyperparameter optimisation, and trustworthy AI can improve the performance and reliability of real-world computational systems.

Before joining UWA, Dr Haldar was a Lecturer at Curtin University, where he taught and coordinated units across computer science, software engineering, and cybersecurity. He also contributed to multiple industry-aligned research projects in areas such as smart infrastructure optimisation, digital agriculture, critical mineral processing, and AI-enhanced education. During his time at Curtin, he supervised Honours, Master's, and PhD students and helped lead several interdisciplinary initiatives bridging data science, DevOps, and intelligent automation.

He previously held roles as a Research Fellow and Associate Lecturer at UWA, a Researcher at King Saud University in Saudi Arabia, and a Senior Software Engineer at Mahindra Comviva Technologies in India. Dr Haldar’s research training was supported by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia's national science agency. During his PhD, he worked as a Postgraduate Researcher at CSIRO Data61 from 2018 to 2021, contributing to fundamental and applied research in data-driven intelligent systems.

Dr Haldar is committed to strengthening collaborations between academia, industry, and government. He has contributed to several multi-institutional and applied research projects. His broader interests include trustworthy large language models, secure software pipelines, personalised AI-driven learning systems, and intelligent workload optimisation for smart compute environments.

He welcomes opportunities for supervision, industry partnership, and cross-disciplinary projects.

Data Science, Optimisation, Information Retrieval, Graph Analytics, Cyber Security, Knowledge-centric AI, Social Network Analysis

English, Bengali, Hindi, Urdu

Lecturer at Curtin University, Perth, Australia
Post-Doctoral Research Fellow at The University of Western Australia, Australia
Associate Lecturer at The University of Western Australia, Australia
Researcher at Data61, CSIRO
Senior Researcher at King Saud University, Riyadh, Saudi Arabia
Senior Engineer at Mahindra Comviva Technologies Ltd., India

Dr Haldar contributes actively to academic service, research leadership, and professional engagement within the University and the broader scientific community. He participates in curriculum development, assessment design, and quality enhancement across data science, computing, and cybersecurity units. He has supervised Honours, Master's, and PhD students, supporting their academic progression and fostering research excellence.

He has served on program committees, reviewed for international conferences and journals, and contributed to multi-institutional research initiatives involving CSIRO Data61, DPIRD, and the Pawsey Supercomputing Centre. His leadership extends to coordinating industry-engaged student projects and facilitating collaborations across academia, government, and industry.

Dr Haldar maintains a strong commitment to research integrity, community engagement, and the development of inclusive, high-quality learning environments. He welcomes opportunities to contribute to strategic initiatives that strengthen UWA's teaching, research, and industry partnerships.

Dr Haldar's research addresses industry-focused challenges in smart infrastructure, digital agriculture, transport networks, critical mineral processing, and cybersecurity. He develops data-driven and AI-enabled solutions that combine machine learning, graph analytics, optimisation, and intelligent automation to improve efficiency and decision-making in complex operational settings.

He has worked with partners such as DPIRD, CSIRO Data61, the Pawsey Supercomputing Centre, and organisations in the resources, transport, and cybersecurity sectors, contributing to practical tools and applied research outcomes. He is committed to strong industry engagement through co-designed research, technology translation, and industry-integrated student projects.