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Campbell Wilson is an Associate Professor in the Department of Data Science & AI at Monash University, serving as founding co-director of the AiLECS Research Centre. His research bridges technical and socio-technical aspects of AI应用于 law enforcement and community safety, with a focus on digital forensics, machine learning, and ethical AI frameworks. He has held leadership roles including Deputy Head of the Caulfield School of IT and Associate Dean (International). Education: PhD in Computer Science (Monash University, 2003), Master of Computing (1996), and Bachelor of Science in Applied Mathematics (1993), all from Monash University. Research interests include AI applications for law enforcement, cybersecurity, bioinformatics, and information retrieval. He leads projects like 'Improving Legal Frameworks for CSAM Prosecutions' and 'Detecting Threats in Temporal Networks', collaborating with agencies like Victoria Police and the British Asian Trust. Teaching commitments include chief examining roles for units such as FIT2100 Operating Systems and FIT5166 Information Retrieval Systems. He actively supervises PhD students focusing on AI for law enforcement and community safety. Labs/Teams: AiLECS Research Centre focuses on AI-driven solutions for law enforcement challenges. Projects emphasize ethical AI deployment and forensic data analysis.

• AI for Law Enforcement
• Community Safety
• Digital Forensics
• +4 more

Nur Haldar is a Research Fellow at The University of Western Australia (UWA), Australia, where he also earned his Ph.D. in Data Science. He previously held roles as an Associate Lecturer at UWA, a Researcher at King Saud University (Saudi Arabia), and a Senior Software Engineer at Mahindra Comviva Technologies (India). His research focuses on Data Science, Social Network Analysis, Graph Analytics, Cyber Security, and Deep Learning. Ph.D. in Computer Science (2021) from UWA, supported by CSIRO. Postgraduate Researcher at CSIRO Data61 (2018–2021). Research interests include optimizing location-based social networks, debiasing recommendation systems, dynamic network analysis, and entity alignment using pre-trained models. He has contributed to 27 research outputs, including peer-reviewed articles in IEEE Transactions and the ACM Web Conference. Notable awards: Third Prize in Alpha Innovation Contest (2018), Travel Award (2020), CSIRO Data61 Scholarship (2018). Engagement includes organizing The Web Conference 2023, serving on CIKM 2022 review panels, and contributing to curriculum development in data science.

• Data Science
• Social Network Analysis
• Graph Analytics
• +3 more

Professor Falk Scholer is a Professor of Information Access and Retrieval Technologies in the School of Computing Technologies at RMIT University, Melbourne, Australia. He leads the RMIT University Centre for Human-AI Information Environments (CHAI). His research focuses on understanding how search engines and recommender systems assist users in resolving information needs and measuring their effectiveness. His work emphasizes fairness, accountability, and human-centered computing. Research interests include interactive information access, evaluation methodologies, misinformation, and the ethical implications of AI systems. His projects span topics like bias mitigation in conversational search, physiological data analysis for user behavior, and generative AI adaptation for diverse scenarios. He collaborates on industry projects, such as enhancing job search systems with SEEK, improving query performance prediction, and developing fact-checking tools. His teaching interests include Data Science, Web Programming, and Research Methods. He actively supervises PhD and Master’s students in areas like fairness-aware systems and complex answer retrieval. Professor Scholer serves on committees including RMIT’s Academic Board and Human Research Ethics Committee. His research has been recognized through high-impact publications and partnerships addressing real-world challenges in search and information systems.

• Information Access and Retrieval
• Fairness and Ethics of AI Systems
• Search Engine Evaluation
• +5 more

Associate Professor Darcy Allen is an academic at RMIT University, specializing in economics and digital economy studies. He holds a position as Director of the Digital Economy Council of Australia, focusing on accelerating the transition to a decentralized digital economy through research, industry collaboration, and policy influence. His work emphasizes frontier technologies like blockchain, AI, and web3 governance. Education: Award-winning PhD in Economics. Professional Roles: Associate Professor of Economics at RMIT, Director of Digital Economy Council of Australia, and frequent expert witness in parliamentary inquiries (7 appearances in Australia). Research Interests: Blockchain, cryptocurrency, digital economy, innovation policy, token airdrops, web3 governance, regulatory reform, and institutional economics. He has authored five books and over 25 peer-reviewed journal articles, with his research cited over 2000 times. Awards: Award-winning PhD in Economics and recognition for his research contributions in innovation policy and blockchain governance. Grants & Projects: Collaborates on initiatives such as blockchain traceability in Vietnamese agriculture and policy frameworks for generative AI. His work bridges academic research with practical applications in policy and industry. Labs/Teams: Leads the Digital Economy Council of Australia, contributing to policy development for emerging technologies.

• Blockchain
• Cryptocurrency
• Digital Economy
• +5 more

Mr. Boming Xia is a Research Fellow at the Responsible AI Research Centre (RAIR) and the Australian Institute for Machine Learning (AIML), University of Adelaide. He holds a position within the Faculty of Sciences, Engineering and Technology. His research focuses on advancing responsible and safe AI through a software engineering lens, particularly exploring the integration of system-level practices with machine learning approaches. His work emphasizes ethical AI development, including frameworks for risk assessment, ESG (Environmental, Social, Governance) integration, and blockchain-based accountability mechanisms. Key areas of interest include AI safety, privacy protection in generative AI, and the design of transparent software supply chains using tools like SBOM (Software Bill of Materials). Xia's contributions span empirical studies on SBOM adoption, AI system evaluation frameworks, and tools like CDCAT for cross-document entity and event coreference. His research bridges theoretical AI foundations with practical software engineering methodologies to ensure AI systems are both innovative and ethically grounded.

• Responsible AI
• Software Engineering
• Machine Learning
• +3 more

Dr. Michael Stewart is a postdoctoral research fellow at The University of Western Australia (UWA), affiliated with the School of Physics, Maths and Computing's Computer Science and Software Engineering department. He holds a PhD from UWA (2020) and works on knowledge graph construction, information extraction, and deep learning methods. His research focuses on technical text analysis, including maintenance documents and log data. Key research areas include entity typing, lexical normalisation, and semantic parsing. He co-leads the UWA Natural and Technical Language Processing Group, co-supervising Honours, Masters, and PhD students. Notable contributions include the MaintIE benchmark, MWO2KG knowledge graph, and tools like Echidna and QuickGraph. His work contributes to UN Sustainable Development Goals through technical innovation in data-driven decision-making. Awards include the 2019 WAITTA INCITE Award and first prize in the ICDM 2019 Knowledge Graph Contest. Current projects explore deep learning-based methods for knowledge graph construction from short technical texts.

• Information Extraction
• Knowledge Graph Construction
• Deep Learning
• +3 more

Dr Elizabeth Englezos is a Lecturer at Griffith Law School, Griffith University, appointed since February 2024. She serves as a member of the QLS Advisory Group on Generative AI in Legal Education and previously contributed to the Law Futures Centre (2023-2024). Her academic appointments include editorial roles as Managing Editor of Griffith Law Review (2025-present) and Copy-editor for the Journal of Cross-disciplinary Research in Computational Law (2024-present). Her educational background features: Doctor of Philosophy (PhD), Griffith University (2022), thesis: '#Hyperconnection: Law and the digital influence on individual identity' Bachelor of Laws (First Class Honours), Griffith University (2019) Graduate Diploma of Legal Practice, Queensland University of Technology Dr Englezos' research examines law's intersection with digital technologies, focusing on digital identity harms, algorithmic decision-making, and privacy regulation. Her work analyzes how digital environments impact individual autonomy through platforms, misinformation ecosystems, and AI systems. Key contributions address platform liability frameworks, democratic challenges in digital public spaces, and regulatory responses to emerging technologies. She employs interdisciplinary methodologies combining legal theory, semiotic analysis, and policy evaluation to develop practical governance solutions for contemporary digital dilemmas. Her publication trajectory (15 outputs 2018-2025) reveals increasing focus on AI governance and platform accountability, with recent works examining algorithmic policing, biodiversity law in pandemic contexts, and generative AI implications. The research consistently bridges theoretical analysis with practical regulatory applications across jurisdictions. Dr Englezos actively translates research into pedagogy through her 'Law and Digital Media' elective (launched 2022) and Contracts 1 teaching. Her professional engagement includes policy submissions to government consultations and editorial leadership. Current activities center on generative AI's impact on legal education through her QLS Advisory Group membership, positioning her at the forefront of emerging digital law challenges.

• Digital Media Law
• Technology Law
• Data Privacy
• +5 more