Professor Carlo Harvey is a creative technologist at the School of Digital Arts (SODA), Manchester Metropolitan University. His interdisciplinary research merges games , machine learning , virtual production , and cultural heritage reinterpretation . He leads industry collaborations with entities like Jaguar Land Rover and Epic Games, focusing on AI-driven interactive audio, real-time visualization, and accessibility solutions. Award-winning projects : TIGA, Innovate UK, and Epic Games MegaGrant for Accession Industry partnerships : Automotive sector, cultural institutions His research spans human-computer interaction , multisensory virtual environments , and acoustic-visual cross-modal perception . Recent publications address robotic simulations, motion alignment, and haptic feedback systems. Scientific recognition : TIGA Award, Innovate UK Funding, Epic Games MegaGrant Advocacy : Digital inclusion, creative collaboration, social impact of technology
Professor Gabriel Brostow is a faculty member in the Department of Computer Science at University College London (UCL), where he leads research in Computer Vision and Human-Computer Interaction. He also serves as Chief Research Scientist and Senior Director of the R&D Team at Niantic, the company behind Pokémon GO. His work bridges academic research and industry applications, focusing on developing AI systems that enhance human capabilities through what he terms 'Human in the Loop AI'—now commonly referred to as Human-Centered AI. Brostow completed his BS in Electrical Engineering at UT Austin, followed by a PhD with Irfan Essa at Georgia Tech. He then pursued postdoctoral research with Roberto Cipolla's Computer Vision & Robotics Group at Cambridge University as a Marshall Sherfield Fellow, and with Marc Pollefeys in ETH Zurich's CVG Group. His research explores how AI, particularly Computer Vision, can serve as 'super-tools' for professionals across various domains including filmmaking, architecture, robotics, and scientific research. Specific interests include assistive technology for everyday life, authoring systems that maximize user effort, 3D reconstruction, depth estimation, and vision-language models. His work often involves creating systems that are validated through real-world human interaction to ensure practical utility. Analysis of his recent publications reveals a strong focus on practical applications of Computer Vision that directly interact with humans. His research spans 3D scene understanding, depth estimation, sketch-based interfaces, and multimodal AI systems. There's a clear emphasis on creating benchmarks and tools that facilitate human-AI collaboration, with applications in assistive technology, urban planning, filmmaking, and biodiversity monitoring. His work frequently appears at top conferences including CVPR, NeurIPS, ECCV, and CHI. Marshall Sherfield Fellowship Brostow actively mentors PhD students, with current advisees including Ross Murphy, Skanda Koppula, Gizem Unlu, Omiros Pantazis, and Jamie Watson. His alumni include numerous PhD graduates and MSc students who have gone on to successful careers in academia and industry. He emphasizes selecting students based on passion and potential rather than just academic credentials, valuing traits like helpfulness, drive, and hunger to learn. His research is supported through collaborations with major institutions and companies including DeepMind, MIT, and the University of Edinburgh. He leads a research group at UCL that collaborates closely with Niantic's R&D team, creating a unique bridge between academic research and industry application. His team's work frequently involves developing novel Computer Vision techniques that are validated through real-world human interaction, ensuring practical utility alongside technical innovation. The group explores blue-sky research problems with applications ranging from assistive technology to professional tools for filmmakers, architects, and scientists studying diverse environments.
Dr. John McGowan is a Lecturer at the School of Computing Engineering and the Built Environment , Edinburgh Napier University. His work bridges Music Therapy , Interaction Design , and Assistive Technologies for autistic individuals. Research Focus: Development of the CymaSense application—a real-time 3D audio-visual tool for augmenting music therapy sessions. This research explores how interactive cymatics (sound visualization) can improve communication and social interaction for people on the autism spectrum. Research Trends: His publications emphasize multi-sensory environments , therapeutic software systems , and user-centered design for neurodiverse populations. Recent work addresses stress triggers in autistic adults using augmented reality and mobile technologies . Supervision: Co-supervised PhD projects on topics including auditory selective attention in mixed reality and adaptive sound design for video games . Grants: Secured funding from Edinburgh Napier University and Arts & Humanities Research Council ( Audio Mostly 2023 conference ). £5,000 grant (AHRC) for embodied music interaction research Labs: Affiliated with the Centre for Interaction Design , contributing to interdisciplinary projects in health technology and creative arts .
Torsten Lauschmann is a Senior Lecturer in Contemporary Art Theory and Practice (Post-Media) at the University of Edinburgh's Edinburgh College of Art. He holds an ORCID iD (0000-0003-3733-6985) and has taught across Fine Art, Intermedia, and Photography programs since 2002. His academic journey includes a BA in Fine Art from Glasgow School of Art (1993-1997) and a Medienkunst degree from Karlsruhe's ZKM (1999). Biography Education: BA (Fine Art), Medienkunst Teaching: Contemporary Art Theory and Practice Lauschmann's research explores intersections of digital and analogue technologies, focusing on human-machine relationships and the nature of the moving image. His works span installation, performance, and experimental film, often combining DIY aesthetics with high-tech elements. Research themes include technological mediation, embodied experience, and the philosophical dimensions of artistic practice. Recent artistic outputs include collaborative multimedia works like Untitled (Puppy) (2024) and explorations of generative AI in contemporary art (2023). His fingerprint in Edinburgh Research Explorer shows active engagement with audio-visual arts, Glasgow-based art communities, and experimental formats. Scientific Awards Paul Hamlyn Award (2013) Samsung Art+ Prize (Shortlisted, 2012) Derek Jarman Award (Shortlisted, 2011) Scottish BAFTA Award (Best Soundtrack, 2000) As advisor and assessor, Lauschmann has guided PhD students and participated in academic activities including symposia, residency panels, and research network involvement. His professional engagements extend to board memberships at Collective Gallery and contributions to new media research collectives.
Tom Mitchell is a Professor of Audio and Music Interaction at the University of the West of England (UWE), Bristol . As leader of the Creative Technologies Laboratory , his research focuses on interactive technologies for creative expression, blending computer science, music, and artificial intelligence. He is the principal investigator for the UKRI Future Leaders Fellowship project "Sensing Music Interactions from the Outside-In" and co-investigator for the Bridge , a £3M creative technology facility. His research spans digital musical instrument design , GPU-accelerated audio processing , and sonification of scientific data . Recent work includes accessibility improvements in virtual environments, AI-driven DMI development, and interdisciplinary collaborations like the MiMU Gloves with Imogen Heap. He also contributes to robotics teleoperation through auditory feedback systems. Selected publications highlight trends in GPU acceleration for audio , generative AI in musical contexts , and human-robot collaboration via sonification. As a software developer , he specializes in C++ and the Juce library , with applications in live performance systems and scientific visualization projects like Soma and danceroom Spectroscopy . UKRI Future Leaders Fellow Active in AHRC and WECA-funded projects Best paper nominations at EvoMUSART and International Faust Conference Mitchell collaborates with institutions including the Bristol Robotics Laboratory , Computer Science Research Centre , and Pervasive Media Studio . His work bridges academic research with commercial applications through ventures like May Productions and x-io Technologies.
Dr Gregory Leplatre serves as a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. He is actively involved with two major research groups: the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems. His work spans across multiple interdisciplinary domains where technology meets human experience. Leplatre's research interests focus on the intersection of sound, visualization, and human interaction. He has made significant contributions to audio-visual interface design, particularly in developing tools that translate sound into visual representations through cymatics. His work extends to therapeutic applications, especially in using real-time 3D graphics to enhance music therapy sessions for individuals on the autism spectrum. Leplatre also investigates speech articulation, soundscape mapping, and multimodal interfaces that create natural cross-modal mappings between visual inputs and sound synthesis. His publication record reveals a consistent trajectory exploring how visual representations of sound can enhance user experience and therapeutic outcomes. Over the past decade, his research has increasingly focused on therapeutic applications for autism spectrum disorder, while maintaining strong foundations in sound synthesis techniques and interface design principles. The work demonstrates a progression from theoretical exploration of audio-visual correspondences to practical implementations with real-world impact. As an academic supervisor, Leplatre has directed or co-supervised numerous doctoral projects, including research on sketching interfaces for sound synthesis, real-time 3D graphic augmentation of music therapy, and emotion recognition in conversational agents. His grant portfolio includes projects like 'Micro-phonics' funded by the Scottish Funding Council and 'Personalisation and the ATM' funded by Innovate UK, demonstrating his ability to secure research funding across different domains. Within the Centre for Interaction Design and the Centre for Algorithms, Visualisation and Evolving Systems, Leplatre contributes to a vibrant research ecosystem focused on creating meaningful human-computer interactions through innovative visualization and sound techniques. His work bridges artistic expression with technical innovation, creating tools that make sound visible and tangible for both therapeutic and creative purposes.
Andrew McPherson is a Professor of Musical Interaction at Queen Mary University of London, affiliated with the School of Electronic Engineering and Computer Science and the Centre for Multimodal AI. He leads the Augmented Instruments Laboratory, a research team focused on music technology and interdisciplinary collaboration. His work bridges electrical engineering, composition, and human-computer interaction, emphasizing the creation of new tools for musicians through hardware/software interfaces and expressive performance modeling. McPherson's research interests include augmented instruments, digital signal processing, and the design of intuitive musical interfaces. He has pioneered projects like the Bela embedded platform and the Magnetic Resonator Piano, emphasizing practical applications in traditional and experimental music venues. Collaborations with artists and industry inform his approach, ensuring research outputs are artistically relevant and accessible. Education & Expertise: Trained in electrical engineering and composition, McPherson combines technical proficiency with artistic sensibility. His lab’s projects, such as the TouchKeys and hackable instruments, highlight his focus on democratizing music technology. Grants & Awards: He holds a Royal Academy of Engineering Senior Research Fellowship (2021–2026) and an ERC Consolidator Grant (2023–2027). He co-leads the UKRI Centre for Doctoral Training in Artificial Intelligence and Music, fostering future researchers in AI-driven music innovation. Labs/Teams: The Augmented Instruments Lab collaborates across disciplines, with dual affiliation at Queen Mary and Imperial College London’s Dyson School of Design Engineering. The lab’s work spans from foundational research to industry partnerships, including spinout company Augmented Instruments Ltd, which supports maker communities and industry consultancy.
Dr. Tony Stockman is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His teaching focuses on Database Systems, Interaction Design, and Semi-structured Data Modelling across undergraduate and postgraduate programs. His research interests include Human-Computer Interaction, Auditory Displays, and Data Sonification, with a strong emphasis on accessibility and cross-modal interfaces. Dr. Stockman has contributed to over 100 publications, exploring topics such as biofeedback systems, assistive technologies for visually impaired individuals, and collaborative design methodologies. His work frequently bridges technical innovation with user-centric design principles. Notable projects include the development of non-visual navigation tools like the Audiom web-based map viewer and co-designed haptic wearables for music synchronization. His research also addresses challenges in education technology, such as dyslexia screening through serious games.
Professor George Ghinea is a distinguished academic in the Department of Computer Science at Brunel University London's College of Engineering, Design and Physical Sciences. With over 350 publications and 33 successfully supervised PhD students, he leads cutting-edge research at the intersection of computer science, media studies, and psychology. His educational background includes a PhD from the University of Reading (1999) where he pioneered the Quality of Perception (QoP) metric - a precursor to today's widely adopted Quality of Experience (QoE) concept. He holds multiple degrees with distinction from the University of the Witwatersrand in South Africa, including BSc, BSc (Hons), and MSc in Computer Science. Professor Ghinea's research focuses on perceptual multimedia quality and human-centered e-systems, with particular emphasis on mulsemedia (multiple sensorial media) - his own conceptual framework extending multimedia to engage non-traditional senses. His work spans eye-tracking applications, telemedicine, multi-modal interaction, and ubiquitous computing. Current research explores mulsemedia integration in autonomous vehicles, security-enhanced systems, and accessibility solutions. His publications reveal strong trends in multisensory computing (42% of recent works), telemedicine applications (28%), accessibility research (18%), and network optimization (12%). The work consistently bridges theoretical frameworks with practical implementations, often incorporating physiological data and user perception metrics. Distinguished Visiting Fellow of the Royal Academy of Engineering (2018) SPARC DUO-India 2020 Fellowship Programme recipient Principal Investigator for multiple EU Horizon 2020 projects Research featured in major media including BBC, Forbes, and Daily Telegraph Professor Ghinea has secured substantial research funding through projects like the EU H2020 NEWTON initiative, Royal Academy of Engineering partnerships, and multiple Newton Fund collaborations. His supervision portfolio includes 33 PhD completions with diverse research spanning security behavior in Ghana, physiological QoE in VR, smart city adoption in Oman, and sustainable digital transformation in Qatar. He leads the IMUSY research group focusing on mulsemedia systems and human perception. His laboratory work centers on the IMUSY research group where they develop mulsemedia applications integrating thermal, wind, and olfactory devices for enhanced user experiences. Current team projects include mulsemedia in autonomous vehicles (MulsEAV), physiological data for QoE assessment, and smart city adoption studies.
Dr. Jenny Holt is a Reader in Film and Deputy Head of the School of Digital Arts (SODA) at Manchester Metropolitan University. Her practice-led research bridges film practice, pedagogy, and environmental humanities, focusing on dialogues between human labor and natural landscapes through documentary filmmaking. Current Research : Multispecies industries in Scottish Highlands rewilding initiatives, exploring film’s role in repositioning human activity within ecological flows. Pedagogy : Emphasizes innovative storytelling, critical praxis, and student-led research strategies in art and design education. Screenings : Films like Uplands and The Great Bear have been featured at Ethnografilm, London Short Film Festival, and international galleries. Industry Experience : Freelance TV production work for UK broadcasters including BBC, ITV, and Channel 4. Her recent publications examine film’s intersection with environmental futures, rural labor, and educational design. She actively supervises PhD students in film practice as research.
Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.
Kartic Subr is a Senior Lecturer (equivalent to Associate Professor) in the School of Informatics at the University of Edinburgh, where he conducts research at the intersection of computer graphics, machine learning, and robotics. He is affiliated with the Institute of Perception, Action and Behaviour and leads an active research group in physics-aware simulation and AI for scientific discovery. His research interests span Computer Graphics , Monte Carlo Rendering , Physics-based Simulation , Machine Learning , Robotics , and Computational Biology . He has made significant contributions to rendering theory, light transport analysis, BRDF modeling, and simulation of fluids and fractures. Recently, his group has applied deep learning to protein design, achieving notable success in international competitions. The recent publications reflect a strong trend toward interdisciplinary research, combining computer graphics with AI and biology. Key themes include explainable AI for physics-aware interfaces (e.g., CueTip), neural rendering (NeRF), protein design with CNNs, and reward learning in robotics. His group regularly publishes in top venues such as SIGGRAPH, NeurIPS, and IEEE RA-L. Royal Society University Research Fellowship (2014–2024) Lead, GCRF Impact Accelerator (2019) Lead, EPSRC First Grant (2017) Royal Society Challenge Grant (2016) Royal Society Newton International Fellow (2010) Marie-Curie Visitor (2006) Best Paper Honorable Mention, I3D 2012 Best Paper, I3D 2011 Kartic Subr actively supervises PhD students and postdocs, including Leonardo Castorina, Zhiyuan Zhang, and Kevin Denamganaï. Former students have gone on to positions at DeepMind, University of Edinburgh, and industry. He has secured multiple grants, including from the Royal Society and EPSRC. His research group collaborates across disciplines, particularly with biological sciences on protein design. He leads projects on approximate physics for robotics, protein design via deep learning, and interactive rendering systems. The group has developed frameworks like TIMED for de novo protein design and tools for explainable physics-aware assistants.
Professor Nick Bryan-Kinns is Professor of Creative Computing at the Creative Computing Institute, University of the Arts London. His research explores new approaches to interactive technologies for the Arts and Creative Industries through Creative Computing, with a current focus on Human-Centred AI and eXplainable AI for the Arts. His research interests center on making audio engineering more accessible and inclusive, championing sustainable and ethical IoT and wearables, and engaging communities with physical computing through craft and cultural heritage. He has developed and led collaborative research with institutions including Tsinghua University, Hunan University, Tongji University, Huazhong University of Science and Technology, and Ateneo de Manila University. His recent publications demonstrate a strong trend toward Responsible AI in music creation, with a focus on reducing bias in AI music generation systems and leveraging small datasets for ethical AI applications. His work explores how AI can be made more transparent and accountable within creative practices. Fellow of the Royal Society of Arts Fellow of the British Computer Society Senior Member of the Association of Computing Machinery Recipient of ACM and BCS Recognition of Service Awards Multiple conference paper awards including Honourable Mentions at ACM CHI conferences QMUL Public Engagement Award Winner (2017, 2015) Professor Bryan-Kinns has supervised 24 graduated PhD students and examined 19 PhD candidates. He has secured over £24 million in research funding, including recent projects such as the AHRC BRAID Fellowship on Explainable Generative AI in the BBC (£117k), AHRC BRAID Flexible Fund on Embracing Authenticity (£10k), and Innovate-UK Creative Catalyst: AI in the Music Industry (£236k). His grant portfolio demonstrates strong international collaboration, particularly with Chinese institutions. He leads the MusicRAI research project focused on building an international community to address bias in AI music generation and analysis, and has developed an open repository of generative AI models for music. His work bridges academic research with practical applications that have been exhibited internationally at venues including Ars Electronica, the V&A, and the Science Museum.
Mark Carey is a Lecturer in the School of Computing, Engineering and Physical Sciences at the University of the West of Scotland, specializing in the Computer Animation degree program. He currently serves as Level 8 Year Leader for the programme. His teaching areas include Visual Effects, Professional Portfolio Production, Audio Visual techniques, and Animation. His research focuses on Education Research, particularly the application of peer review to improve student assessment and understanding. He has also explored Interactive Television content, Animation, and Media Technology. Additional expertise spans Audio/Visual production, compositing, image editing, and railway history. Externally, Carey has held numerous roles as an External Examiner and Validator at institutions including Newcastle College, Manchester Metropolitan University, and the University of Lincoln, with terms spanning from 2002 to 2022. These roles highlight his contribution to curriculum validation and academic standards across multiple institutions. His recent work emphasizes VR applications in education, such as the MoonBase VR project exploring gamified programming learning environments. Earlier research addressed interactivity in archival TV content, reflecting his long-standing interest in media technology and adaptation. Despite no formal scientific awards listed, his contributions to educational innovation and media technology demonstrate impactful scholarly engagement. Advising and grant details are not explicitly documented in the provided text.
Andrew Duff is an Assistant Professor in Digital Media (Media and Film) at the University of Sussex's School of Media, Arts and Humanities. A practicing artist and educator since the late 1980s, he focuses on interactive multimedia, experimental audio, and modular synthesizers. He holds a Master's in Design and Digital Media (2000) and has taught courses in graphic design, interaction design, and digital media theory. Education: Master of Design and Digital Media (2000) His research explores reactive multimedia systems, vintage synthesizers, and collaborative sound art. Notable projects include the 200.104.200.2 installation series exhibited at NIME, Sussex Humanities Lab, and DesInc. He co-organized the Brighton Modular Meet (2012–2019) and actively participates in European audio-visual events. Recent works emphasize social capital dynamics in modular synth communities, as seen in his 2016 article Synths and Social Capital . Teaching & Grants: Teaches courses such as Interactive Design (2023) and Communication Design (2018–2020). No specific grants mentioned, though his teaching focuses on Adobe Creative Suite and MAX platform development. Labs/Teams: Collaborates with Cécile Chevalier on sound installations and maintains ties with the Attenborough Centre for the Creative Arts.
