Research Staff

Research

Anthony Quinn specialises in statistical signal processing and machine learning methods for optimal design amid uncertainty. He is particularly interested in the design of efficient recursive algorithms to enable distributed and sequential learning. His application foci at the Dyson are the AI-Fairness agenda, and problems of resource allocation at scale, using the optimal transport paradigm. He is tenured in Electronic and Electrical Engineering at Trinity College Dublin, where he has taught for many years in probability, statistics, signal processing and telecommunications.

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Johan is a Research Fellow on the SONICOM project, where he is looking at modelling individual user’s characteristics and behaviour with machine learning to enhance immersive audio. In the past, Johan contributed to multiple national and international research projects on music information retrieval in Belgium, France and the UK. He also taught subjects ranging from audio programming to big data processing at various London universities.

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Claire is a 2025 Schmidt Sciences fellow in trauma biomechanics using real-time sensor data prediction of road traffic collision injuries to improve emergency response. She increases traumatic brain injury data access ( TBI-REPORTER ) and advances safety equity through interdisciplinary collaboration ( IMPACT ).

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Roberto is an MSCA Postdoc Fellow exploring spatial hearing through Bayesian statistics to enhance immersive real and virtual environments. His research integrates auditory experiments with probabilistic methods to advance personalised spatial audio and develop explainable AI tools for extended reality applications.

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Francisco is a Research Associate in Digital Musical Instrument Design at the Augmented Instruments Lab within the Dyson School of Design Engineering. His research focuses on advancing digital musical instruments with critical design, entanglement theories, cutting-edge AI and embedded systems. Previously, Francisco was a Research Fellow at the Multi-Sensory-Devices Lab at University College London (UCL), where he worked on computational design and optimization of acoustic metamaterials and ultrasonic phased arrays to develop next-generation mid-air haptic interfaces. Prior to that, he contributed to the Experimental Music Technologies Lab at University of Sussex, where he developed web-based live coding environments, integrating music and machine learning in novel and accessible ways.

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Andrey is a researcher with an electrical engineering background and advanced skills in power systems modelling, mathematical optimisation, electricity markets, energy policies, game theory, and data valuation. He is currently developing novel analytical and data-driven solutions for electricity markets.

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Simon is working on the design of next generation batteries using machine learning and simulation techniques. He is passionate about the complex multi-physics of energy materials and their modelling across different time and length scales. With a background in mechanical engineering, he specialised in computational materials science during his PhD at the Karlsruhe Institute of Technology (KIT) on the simulation of novel sodium-ion cathode materials. His studies were accompanied by an exchange semester at the KTH in Stockholm and a research stay at the MIT in Boston, Massachusetts.

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Rapolas researches personalisation of binaural spatial audio technologies, perceptual and numerical evaluation of spatial audio reproduction algorithms, and human spatial hearing. His research interests include psychoacoustics, auditory and acoustic modelling, audio signal processing, and extended reality (XR).

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Will’s creating a child-specific helmet safety rating system to help inform consumer choices and promote innovation in future helmet designs. This builds on 'Hiper', Imperial Head Lab's research-led adult helmet ratings and is funded by the Road Safety Trust.

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Bowen has a Research background in Materials Science. His Research involves working with patterned hybrid scaffold ceramics for catalyst nanoparticles to enable high-performance systems and help with emission treatments for renewable design.

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Sadhana is an ESRC Postdoctoral Fellow with a background in Environmental Psychology and Architecture. She is looking at the application and impacts of flexible building design (housing, hospital) on user outcomes and wellbeing, focusing on empowering users through building design.

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Rusne is working with the Morph Lab to explore the use of soft robotics, haptics and mixed-mode solutions for medical and commercial devices.

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Lucas has a background in bioengineering, with a focus on injury biomechanics using both computational modelling and lab testing. He is currently based in the Design Engineering HEAD Lab, computationally reconstructing automotive collisions to better inform motorcycle helmet requirements. He is also involved in the college's public engagement, hosting workshops for school visits to the college and the Great Exhibition Road Festival.

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Anna is exploring the intersection of behavioural science and design to better understand how to predict behaviours and develop effective interventions for behaviour change. As a Research Assistant at the Interaction Foundry, part of the Dyson School of Design Engineering, she is applying behaviour settings theory to optimize the design of ProtonDx products, with a focus on enhancing animal health and disease prevention in the UK. Her previous experience as a behaviour change strategist and intervention designer in the international development sector reflects her passion for fostering community-led change and addressing complex global challenges.

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Elyse is working with the morph lab to explore the use of soft robotics and haptics for medical and commercial devices.

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Pouria's research within iCircular3 (Digital Transition of Circular Economy) focuses on Circular Cyber-Physical Product as a Service (PaaS) Infrastructure.

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Katarina researches how the brain processes acoustic environments using EEG, pupillometry, and behavioural methods. She uses this insight to aid spatial audio accessibility using 3D head scans and to inform the development of hearing aids that better support spatial perception.

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Marco is currently conducting research on the design and development of an mHealth diagnostic system for dementia and co-morbidities in rural Peru. The system is designed to be deliverable by non-specialists and includes clinical enquiry, brief cognitive testing, functional assessment, and evaluation of co-morbidities. It is adaptable and acceptable across multiple cultural and cognitive contexts, meeting the pressing need for a diagnostic system for dementia. He has a strong interest in implementing creative and unconventional design methods, while also involving end users throughout the design process.

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Nicole is a researcher in digital musical instrument design and analysis working in the Augmented Instruments Laboratory. Her research integrates critical design, artistic practice, and qualitative methods to investigate the embodied and sensory dimensions of musical interaction, and examine how new technologies are entangled with material and social contexts.

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Toshan studies lithium-ion battery safety, focusing on assessing State of Safety and understanding thermal runaway. His work is part of the Faraday Institution’s Multiscale Modelling Project.

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Haosu has a research background in mechanical engineering, focusing on AI-driven modelling of metal forming. His work develops graph-based surrogate models to accelerate simulation and enable adaptive, high-performance manufacturing for lightweight and sustainable design.

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Xu is a researcher working on AI-based decentralized electricity market design and analytics. Her research interests lie at the intersection of distributed optimization, robust & stochastic optimization, optimal control, game theory, data-driven methodologies, and their applications to multi-energy systems and energy markets.