Dr Mohammad Swash
Lecturer in Digital Media

Research area(s)

• Advanced 3D imaging and display systems, including gesture sensors
• 3D computer graphics, 3D reconstruction and 3D reformation
• AI and autonomous systems, including mobile robotics and robotic arms
• Computer vision, including video segmentation, classification, super resolution, compression and transmission
• Immersive media, virtual reality, augmented reality and extended mixed reality
• Human computer interaction, user experience and creative technologies
• Medical imaging sensors and data visualisation, including laparoscopic 3D cameras
• Knowledge representation, predictive analytics and pattern modelling

Research Interests

• Advanced 3D imaging, sensors and display systems for industrial and creative applications
• Computer vision and multi-sensor fusion for safety-critical autonomous systems
• Embodied AI, world models and robot learning for industrial autonomous systems
• Robotics foundation models and vision language action models for autonomy in uncertain environments
• Digital mapping, precision positioning and micro 3D gesture sensing for embodied systems
• Autonomous digital twinning and live operational decision making
• Human robot interaction and shared autonomy in mixed traffic and shared work environments
• Generative AI, immersive media and spatial computing for new forms of human-computer interaction
• Bridging advanced sensing, learning and autonomy to deliver intelligent systems that operate reliably in the real world

Grants

Project details

• EPSRC Doctoral Training Partnership Studentship - UKRI / EPSRC Funded Project | Duration: 2018 – 2022: Led research on intelligent and adaptive nozzle systems for concrete 3D printing, contributing to advances in autonomous additive manufacturing for construction. Principal Investigator.
• IoRL Internet of Radio Light - H2020 EU Funded Project | Duration: 2017 – 2020: Developed a hybrid Visible Light Communication and 5G millimetre wave network for indoor environments, delivering high speed, low latency and secure connectivity. The technology was demonstrated through a portable system at the Building Research Establishment with performance suitable for short range applications such as aircraft and train communications. Co-Investigator.
• CEPROQHA Cost Effective High Quality Preservation and Restoration of Qatar Cultural Heritage - Qatar National Research Fund | Duration: 2016 – 2019: Developed a bespoke 3D holoscopic imaging paradigm using advanced cost effective technologies for the acquisition, reconstruction, curation and presentation of cultural heritage assets, enabling accessible and accurate 3D replication of Qatari heritage objects. Co-Investigator.
• 3DVIVANT 3D liVe Immerse Video Audio iNteractive multimedia - FP7 EU Funded Project | Duration: 2010 – 2013: Investigated the generation of a novel true 3D video technology based on mixed 3D holoscopic video content capture and associated manipulation, imaging and display technologies. Research Associate.
• Operational Risk Analysis and Management - EPSRC and Barclays Bank Funded Project | Duration: 2009 – 2010: Investigated AI enabled algorithms for operational risk identification and management in financial institutions under conditions of uncertainty. Research Associate.
• RUSHES Retrieval of Multimedia Semantic Units for Enhanced Reusability - FP6 EU Funded Project | Duration: 2007 – 2009: Designed, implemented and validated a system for the indexing, accessing and delivery of raw, unedited audio visual footage. The project targeted indexing, search and retrieval of rushes archives to enable in house postproduction and reuse in professional environments through a multimodal approach combining metadata extraction, visualisation and interactive browsing. Research Associate.