Ratings & reviews
Encourages students to think independently. I like his teaching style.
Makes learning interactive and fun.
Always patient and encouraging to students.
Always goes the extra mile for students.
Always patient and encouraging to students.
A true inspiration to all learners.
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About Nur
Dr. Nur Haldar is a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University. He earned his PhD in Computer Science in 2021, with a thesis titled 'Personalized Location Selection in Location based Social Networks.' His career includes previous roles as Lecturer and Post-Doctoral Research Fellow at The University of Western Australia, where he taught and coordinated units in computer science, software engineering, and cybersecurity, and supervised Honours, Master's, and PhD students. Earlier positions encompass Researcher at Data61, CSIRO from 2018 to 2021, Senior Researcher at King Saud University in Riyadh, Saudi Arabia, and Senior Software Engineer at Mahindra Comviva Technologies Ltd. in India. At Curtin, he contributes to industry-aligned research in smart infrastructure optimisation, digital agriculture, critical mineral processing, and AI-enhanced education, as evidenced by his supervision of student internships and receipt of a 2025 Resources Technology and Critical Minerals Trailblazer Early Career Researcher Grant.
Haldar's research focuses on data science, knowledge-centric AI, cyber security, graph analytics, database systems, optimisation, information retrieval, social network analysis, trustworthy large language models, intelligent transport modelling, sustainable resource systems, graph machine learning, multi-objective optimisation, knowledge graphs, and risk modelling for cyber resilience. Notable publications include 'A Cloud-based Healthcare Framework for Security and Patients’ Data Privacy Using Wireless Body Area Networks' (2014), 'Arrhythmia classification using Mahalanobis distance based improved Fuzzy C-Means clustering for mobile health monitoring systems' (2017, Neurocomputing), 'BiSAL–A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security' (2015, Digital Investigation), 'Location prediction in large-scale social networks: an in-depth benchmarking study' (2019, VLDB Journal), 'Debiasing recommendation with personal popularity' (2024, ACM Web Conference), 'Dynamic watermarks in images generated by diffusion models' (2025, IEEE/CVF CVPRW), and 'AI-generated content in cross-domain applications: Research trends, challenges and propositions' (2025, Knowledge-Based Systems). He has received the Third Prize in the Alpha Innovation Contest (2018), Travel Award (2020), Top-up Scholarship (2019), and CSIRO Data61 Scholarship (2018). Haldar has served on programme committees for ICDE 2022, The Web Conference 2023, CIKM 2022, and as a reviewer for ACM Web Conference 2026. He delivered a guest lecture on 'Teens, Tech, and Mental Health: Navigating Social Media in the Digital Age'.
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