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        <title>QMUL Centre for Intelligent Transport News</title>
        <description>Here's the latest news from The Centre for Intelligent Transport at QMUL</description>
        <link>https://www.seresearch.qmul.ac.uk/cit/news/</link>
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            <url>https://www.seresearch.qmul.ac.uk/design_local/images/SITE_QMUL_square_logo.png</url>
            <title>QMUL Centre for Intelligent Transport News</title>
            <link>https://www.seresearch.qmul.ac.uk/cit/news/</link>
            <description>News from Centre for Intelligent Transport - click to visit</description>
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        <webMaster>QMUL S&amp;amp;E Research Centres Webmaster (m.m.knight@qmul.ac.uk)</webMaster>
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            <title>International Women in Engineering Day: meet Mona Jaber and Valentina Donzella.</title>
            <link>https://www.seresearch.qmul.ac.uk/news/5584/international-women-in-engineering-day-meet-mona-jaber-and-valentina-donzella/</link>
            <description>&lt;img src=&quot;https://www.seresearch.qmul.ac.uk/content/news/images/8c23f62f8d2a6688989b773666484d4e.jpg&quot; /&gt;

&lt;br&gt;In celebration of International Women in Engineering Day, we highlight the innovative research of Mona Jaber and Valentina Donzella.

Dr Mona Jaber is Head of the Centre for Networks, Communications and Systems.  As a child, Mona was fascinated by how engineering could solve real-world problems and she knew then that she wanted to be an engineer. That early curiosity has grown into a lifelong passion that now drives her research in artificial intelligence and Internet of Things technologies. In this video, Mona discusses her research and explains how the Internet of Things—networks of connected devices and sensors—can help create healthier, more sustainable cities by improving the way we manage resources, services and urban infrastructure.

Professor Valentina Donzella is a member of the Centre for Intelligent Transport and the Deputy Head of the Centre for Advanced Robotics. Her research focuses on making intelligent technologies, such as robots and self-driving vehicles, safer and more reliable. She studies how sensors—including cameras, radar, thermal cameras and LiDAR—collect information about the world, and how factors such as bad weather, poor visibility or busy environments can affect the quality of that information.

Valentina develops new methods to improve and combine data from different sensors, helping artificial intelligence systems make better decisions in real-world situations. She is particularly interested in using computer simulations and AI-generated data to test and train intelligent systems, as well as developing ways to assess data quality and system performance.

Her work also explores how intelligent systems can operate safely using less data, helping to make future transport and robotic technologies both safer and more sustainable.</description>
            <category>Public news</category>
            <pubDate>Wed, 17 Jun 2026 23:00:00 +0100</pubDate>
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            <title>Summer research internships for undergraduate students</title>
            <link>https://www.seresearch.qmul.ac.uk/news/5573/summer-research-internships-for-undergraduate-students/</link>
            <description>&lt;img src=&quot;https://www.seresearch.qmul.ac.uk/content/news/images/89c45348a4c075bdf8013a98d6ae6aa4.jpg&quot; /&gt;

&lt;br&gt;Ten talented undergraduate students from across a wide range of Science and Engineering programmes are embarking on exciting summer research internships under the mentorship of academic supervisors. This fantastic opportunity has been made possible through the QMUL Summer Training Research Initiative to Support Diversity and Equality (STRIDE) and the London Mathematical Society's Undergraduate Research Bursaries (URB) scheme.

Spanning the full breadth of Science and Engineering, these diverse and innovative projects offer students a unique chance to explore research, develop new skills, and gain first-hand experience of academic discovery. We hope the programme will inspire the next generation of researchers and ignite a lasting passion for scientific inquiry.

Below, you can find the full list of projects, students, and supervisors taking part in this year's programme.


    Zahra Ibrahim Ahmed Yusuf: An inclusive approach to measuring depression in neurodivergent young adults from diverse backgrounds (supervisor Giorgia Michelini)
    Tahran Tinnin Motlib-Siddiqui: Bioelectronic Sensors for Lanthanides (supervisor Lin Su)
    Radoslaw Bukowiński: LoRa-Based Satellite Ground Station Development and Link Analysis using the TinyGS Network (supervisor Fatma Benkhelifa)
    Mohammed Rizwan Miah: Offshore Aquaculture Renewables (supervisor Eldad Avital)
    Elsie Chidera Obiako: Developing AI tools for image-based diagnosis (supervisor Shaheer U Saeed)
    Amina Abulrahim Montalto: Domestic Water Recycling (supervisor Eldad Avital)
    Nursen Adiba Chowdhury: Synthesis, Fabrication and Characterization of Novel Antiferroelectric Materials (supervisor Giuseppe Viola)
    Ivet Lobo: Combinatorial search algorithms- AI and Machine Learning vs Integer Optimization (supervisor Thomas Prellberg)
    Zishan Xu: Higher order hyperbolic problems with singularities (LMS URB, supervisor Claudia Garetto)
    Oliver Leo Carter: Matroids that maximase a valuative invariant (LMS URB, supervisors Alex Fink and Mark Jerrum)</description>
            <category>Public news</category>
            <pubDate>Fri, 12 Jun 2026 23:00:00 +0100</pubDate>
            <guid>news5573</guid>
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            <title>Queen Mary students shine at STEM for Britain in Parliament</title>
            <link>https://www.seresearch.qmul.ac.uk/bioengineering/news/5501/queen-mary-students-shine-at-stem-for-britain-in-parliament/</link>
            <description>&lt;img src=&quot;https://www.seresearch.qmul.ac.uk/content/news/images/36c2edc13489c3becc346c8e6c0b85c4.jpg&quot; /&gt;

&lt;br&gt;Two students from the School of Engineering and Materials Science at Queen Mary University of London delivered impressive research presentations at this year's STEM for Britain competition, held at the House of Commons on Tuesday 17 March 2026.

Sarah Hussain and Rory Bennett were selected as finalists in this highly competitive national event, which brings together some of the UK's most promising early-career researchers, to present their work to Members of Parliament and leading scientists. Organised by the Parliamentary and Scientific Committee, the exhibition has been running since 1997.

Sarah presented her project, &quot;At home augmented reality training for upper limb prosthesis control&quot;, which explores a gamified, emotion-aware augmented reality system to support children learning to use myoelectric prostheses. By combining real-time biometric data with adaptive feedback, her work aims to make rehabilitation more engaging and effective at home. This research was supervised by Dr Hasan Shaheed.

Rory presented &quot;Towards Reducing the Burden of Prostate Cancer in the NHS&quot;, introducing a machine learning-based workflow designed to help identify which patients are most likely to need a biopsy. The goal is to reduce unnecessary procedures while improving early detection and easing pressure on the NHS. He is working with Prof Zion Tse.

Both students represented Queen Mary exceptionally well, showcasing not only strong technical work but also a clear focus on real-world impact in healthcare. Their participation highlights the strength of research and innovation within the School of Engineering and Materials Science.</description>
            <category>Public news</category>
            <pubDate>Tue, 05 May 2026 23:00:00 +0100</pubDate>
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            <title>QMUL Recognised for Industry-Led Innovation at The Engineer Collaborate to Innovate Award</title>
            <link>https://www.seresearch.qmul.ac.uk/bioengineering/news/5380/qmul-recognised-for-industry-led-innovation-at-the-engineer-collaborate-to-innovate-award/</link>
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&lt;br&gt;Queen Mary University of London (QMUL) has been recognised at The Engineer Collaborate to Innovate Awards, which celebrate projects where close collaboration between universities, industry and the NHS delivers real-world impact. Three QMUL-involved projects were in the finalist, with Prostate-AI receiving a Highly Commended award. This recognition highlights Queen Mary's strength in translating research into deployable solutions through strong partnerships beyond academia.

Prostate-AI: High-Throughput, AI-Enabled Prostate Cancer Screening for the NHS is led at QMUL by Rory Bennett, Dhruv Basude and Prof Zion Tse and brings together Cambridge University Hospitals NHS Foundation Trust and JEB Technologies. The collaboration combines academic expertise in AI with industrial imaging systems and clinical insight to support faster and scalable prostate cancer screening aligned with NHS workflows. The Highly Commended award reflects the project's readiness for NHS adoption and its potential to improve diagnostic capacity.

QMUL was also shortlisted for Transforming Whole Blood into Accessible and Personalised Regenerative Implants, by Prof Thomas Iskratsch's team in collaboration with the University of Nottingham. The project brings together bioengineering research and translational expertise to explore new routes for creating personalised regenerative implants, with the aim of improving accessibility and clinical relevance.

A third finalist project extends QMUL's collaborative engineering work beyond healthcare. The farming future project, Integrated Human-Augmented Robotics and Intelligent Sensing for Precision Viticulture, is led by Dr Ketao Zhang and Prof Lei Su in collaboration with industry partners Extend Robotics and Saffron Grange Vineyard. By working closely with robotics integrator and end users, the team has developed robotic and sensing technologies for advanced manufacturing at the high-value products in the agriculture sector.

Across all three projects, a common theme is the importance of collaboration with industry and the NHS. By co-developing solutions with partners from the outset, Queen Mary researchers are ensuring that engineering innovation moves efficiently from research to real-world impact.</description>
            <category>Public news</category>
            <pubDate>Wed, 04 Mar 2026 00:00:00 +0100</pubDate>
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            <title>Global Partnership Targets Safer, Cleaner and More Resilient Offshore Aquaculture</title>
            <link>https://www.seresearch.qmul.ac.uk/cit/news/5225/global-partnership-targets-safer-cleaner-and-more-resilient-offshore-aquaculture/</link>
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&lt;br&gt;We have launched a major international research initiative to strengthen the safety, resilience, and sustainability of offshore aquaculture, backed by a £998,330 grant from Lloyd's Register Foundation and under the leadership of Dr Avital. As demand for seafood rises globally, offshore fish farming is increasingly seen as a vital solution, yet the sector continues to face serious engineering and safety challenges in harsh marine environments.

This five-year programme will focus on developing storm-resistant aquaculture cages and safer service vessels capable of operating in wave heights of five metres or more. Researchers will also address one of the industry's most persistent problems—biofouling—by testing advanced materials and innovative cleaning methods designed to cut maintenance needs and improve structural reliability. In parallel, the team will design and validate a renewable-energy solution powered by wave energy (and wind), reducing offshore farms' dependence on diesel and lowering environmental impact.

Delivered in partnership with universities and industry organisations across the UK, Greece, India, Norway and for training purposes only also in China. The project includes a comprehensive training programme to support more than 200 aquaculture professionals worldwide. Its findings will be openly shared to inform best practice, shape policy, and strengthen safety standards across the sector.

Read the Lloyd's Register Foundation announcement here: https://www.lrfoundation.org.uk/news/safety-of-offshore-aquaculture-systems</description>
            <category>Public news</category>
            <pubDate>Mon, 17 Nov 2025 00:00:00 +0100</pubDate>
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