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Professor Simon Lucey’s research focuses on computer vision, machine learning, and robotics, drawing inspiration from pioneering AI researchers to uncover computational and mathematical models underlying visual perception. His work aims to bridge the gap between human and machine intelligence by enabling systems to interpret and interact with the world more effectively.

Dr Surya Nepal is a senior principal research scientist at CSIRO's Data61. He leads the cybersecurity and quantum systems research group at Data61. His primary area of research focuses on developing and implementing technologies in distributed systems, with a specific emphasis on AI and cybersecurity, privacy, and trust. He is the interim editor-in-chief of IEEE Transactions on Service Computing and is a member of the ACM Transactions on Internet Technology editorial board. He is a fellow of IEEE and is the RAIR Co-Theme Lead for AI Tackling Misinformation.

Dr Qi Wu specialises in computer vision and machine learning, with a particular focus on Vision-and-Language problems such as Image Captioning and Visual Question Answering (VQA). Dr Wu's work often integrates high-level semantic concepts and external knowledge sources to enhance image understanding and reasoning capabilities in AI systems. He is the RAIR Co-Theme Lead for Safe AI for the Real World.

Professor Jiajun Liu is a Principal Research Scientist and Science Leader from Cyber-Physical Systems Program at the CSIRO’s Data61 and leads the Distributed Intelligence Team. He is also an Adjunct Associate Professor in AI at the �Ӱ�ֱ�� of Queensland. His research interest covers a range of topics in machine learning and data science including efficient neural nets, vision-language tasks, sensing/edge AI systems, and is RAIR Co-Theme Lead for Safe AI for the Real World.

Professor Dino Sejdinovic is a Professor at AIML at the �Ӱ�ֱ�� of Adelaide. His research spans a variety of topics at the interface between statistical methodology and machine learning, including, large-scale nonparametric and kernel methods, robust and trustworthy machine learning, multi-resolution data and data fusion. He is RAIR Co-Theme Lead for AI System Evaluation for Safety.

Dr Qinghua Lu is a principal research scientist and the team leader of Software Engineering for AI research team at CSIRO’s Data61. She was the winner of the 2023 Asia-Pacific Women in AI Trailblazer Award. Dr. Lu contributes to several key AI safety initiatives, including �Ӱ�ֱ��’s AI Safety Standard, Frontier Model Forum, OECD.AI’s trustworthy AI metrics, International Working Group on AI Metrology, and EU General-Purpose AI Code of Practice. She is an associate editor of IEEE Transactions on AI, IEEE Communications Surveys and Tutorials, Empirical Software Engineering Journal, Engineering Applications of Artificial Intelligence. Her research interest includes responsible AI, AI engineering, AI safety, and is RAIR Co-Theme Leader for AI System Evaluation for Safety.

Professor Javen Qinfeng Shi is RAIR Interim Director, and Founding Director of Causal AI Group at AIML. His research interests include causation, AI, mind, and metaphysics. Professor Shi has applied his research across various industries, including material discovery, agriculture, mining, sport, manufacturing, bushfire management, health, and education. He is RAIR Co-Theme Lead for Causal AI for a Changing World.

Professor Lina Yao is the Senior Principal Research Scientist and Science Lead at CSIRO's Data61. Her research area is in Few-Shot Learning, Zero-Shot Learning, Deep Reinforcement Learning, Meta-Learning, Neural Process, Self-supervised Learning, Graph Neural Networks and their applications in a broad range of applications in Recommender Systems, Computer Vision, Brain-Computer Interface, Biomedical Image Analysis, Intelligent Transportation System, and Internet of Things. She is RAIR Co-Theme Lead for Causal AI for a Changing World.

Dr Arpit Garg works on engineering safe and responsible AI systems, with a focus on tackling misinformation and ensuring attribution and integrity for generative AI. His current research centres on developing robust mechanisms to combat AI-generated misinformation, establishing provenance tracking for AI-generated content, and building transparent attribution systems that enhance trust and accountability in generative AI technologies.

Dr Xinyu (Henry) Li

Dr Xinyu (Henry) Li develops machine learning approaches for materials science and drug discovery, integrating computational chemistry and AI to accelerate scientific breakthroughs for real world challenges. His current research focuses on applying causal AI to overcome spurious correlations in these domains.

Dr Sihao Lin

Dr Sihao Lin specialises in visual-language modelling with a core focus on visual-language navigation. His goal is to develop intelligent agents capable of understanding and acting upon combined visual and textual cues. He strives to advance this field by developing solutions that are fundamentally reliable, trustworthy, and ready for practical deployment.

Dr Boming Xia works on engineering safe and responsible AI systems, with a focus on system‐level design and evaluation of advanced AI systems. His current research centres on ensuring the safety and performance of foundation model–based agents across their lifecycle, through methods such as continuous evaluation-driven development that embeds observability and adaptability.

Dr Jason Xue is RAIR's 1st Scientist and a Senior Research Scientist and AI Security Lead at CSIRO's Data61. His research covers AI security, privacy, and software security. He has received multiple distinguished paper and reviewer awards and features in media including The New York Times. He serves on top security conference committees and an associate editor on top security IEEE transactions.

Dr Jinan Zou develops innovative approaches for quantitative finance and agriculture, leveraging causal AI and natural language processing (NLP) to enhance decision-making. He leads a team building a scalable, self-sufficient trading platform using machine learning to refine quantitative trading strategies, with a focus on market-making and arbitrage in equity and digital currency markets.

Kate Klimeš

Kate Klimeš is the Program Manager for the Responsible AI Research (RAIR) Centre. She is Secretariate for the Central Led Team, the Research Steering Committee, and is the point of contact for the Centre. Kate is a member of the team organising the Next Generation Responsible AI Symposium that will see over 200 researchers, senior government, and industry partners converge in Adelaide, South �Ӱ�ֱ�� to focus on all things RAIR.

Lina Court

Lina Court is the Project and Administrative Officer for the Responsible AI Research (RAIR) Centre. With an extensive professional background in project and event management and executive support, she brings a wealth of experience to address the day-to-day administrative needs of the Centre. Lina is a member of the team organising the Next Generation Responsible AI Symposium.