Professor in Computer Science, Royal Holloway, University of London, with research expertise in deep learning, intelligent robotics, and video/image processing.
At Royal Holloway, University of London, we take pride in our rich history and commitment to academic excellence. As a diverse community of students and scholars, we foster an environment that encourages collaboration, innovation, and critical thinking. Our cutting-edge research and comprehensive programs allow us to tackle real-world challenges and create meaningful impact. We are excited to connect with industry leaders and other institutions to drive forward-thinking initiatives and partnerships.
Professor Zhang holds a PhD degree from University of Birmingham, UK, on machine learning and pattern recognition. Her research has attracted a total of £6.5M from European Commission, Innovate UK, Research England, and other industrial match funding schemes for projects on deep learning, artificial intelligence and computer vision applications. Professor Zhang led Machine Learning and Natural Computing Research Group with 15+ academics and 20+ PhD students with 16 PhD completions. In Royal Holloway, she has led projects funded by AHRC (StoryFutures Sandpit Competition Winner, 2022-2023), Industrial Match Funded PhD Studentship (2022-2026), Innovate UK Smart Grants (2022-2023) and innovate UK KTP projects (2024-2026, 2025-2027) in collaboration with Livr Ltd, Royal Botanic Gardens, Kew, Rubberatkins Ltd. and DDM Health Ltd., respectively as the PI, to develop machine learning solutions for big data problems.
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HORIZON-CL4-2025-03-DATA-13: Fostering Innovative and Compliant Data Ecosystems HORIZON-CL4-2025-03-DATA-12: Preparing the Advancement of the state of the art of submarine cable infrastructures HORIZON-CL4-2025-03-DATA-10: Roadmap for next generation computing technologies from IoT device level to edge to cloud to HPC HORIZON-CL4-2025-03-DIGITAL-EMERGING-09: Challenge-Driven GenAI4EU Booster HORIZON-CL4-2025-03-DIGITAL-EMERGING-07: Robust and trustworthy GenerativeAI for Robotics and industrial automationHORIZON-CL4-2025-03-DIGITAL-EMERGING-08: Strengthening the fabless Start-up and SME ecosystem in EuropeHORIZON-CL4-2025-03-DIGITAL-EMERGING-04: Post-exascale HPC HORIZON-CL4-2025-03-DIGITAL-EMERGING-03: Supporting Digital Partnerships in Quantum technologies HORIZON-CL4-2025-03-DIGITAL-EMERGING-02: Quantum Computing – complementing the quantum computing FPAs with the development of a technology agnostic software stackHORIZON-CL4-2025-03-DIGITAL-EMERGING-01: Continuation of the Quantum Technologies FlagshipHORIZON-CL4-2025-03-HUMAN-18: GenAI4EU central HubHORIZON-CL4-2025-03-HUMAN-17: Specific support for the Virtual Worlds Partnership and the Web 4.0 initiativeHORIZON-CL4-2025-03-HUMAN-15: GenAI4EU: Generative AI for Virtual Worlds: Advanced technologies for better performance and hyper personalised and immersive experienceHORIZON-CL4-2025-03-HUMAN-14: Core technologies for virtual worldsHORIZON-CL4-2025-04-HUMAN-08: GenAI for Africa HORIZON-CL4-2025-04-DIGITAL-EMERGING-07: Enhanced Learning Strategies for General Purpose AI: Advancing GenAI4EUHORIZON-CL4-2025-04-DIGITAL-EMERGING-05: Soft Robotics for Advanced physical capabilities HORIZON-CL4-2025-04-DIGITAL-EMERGING-04: Assessment methodologies for General Purpose AI capabilities and risksHORIZON-CL4-2025-04-DIGITAL-EMERGING-01: Advanced sensor technologies and multimodal sensor integration for multiple application domains HORIZON-CL4-2025-04-DATA-03: Software Engineering for AI and generative AI HORIZON-CL4-2025-04-DATA-02: Empowering AI/generative AI along the Cognitive Computing continuu