Image credits

Research figures and photographs used in this portfolio.

The portrait is from my existing academic website.

Agentic AI architecture

A conceptual model connects LLM reasoning, agent functions, feedback and external interfaces.

Gill et al. (2026), Agentic AI: Vision and challenges, PLOS Complex Systems, Fig. 1. CC BY 4.0. Unmodified. · CC BY 4.0

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Agentic AI applications

A domain map organises proposed applications across six sectors.

Gill et al. (2026), Agentic AI: Vision and challenges, PLOS Complex Systems, Fig. 2. CC BY 4.0. Unmodified. · CC BY 4.0

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Agentic AI research directions

A conceptual research map groups technical, trust, learning, infrastructure, multi-agent and governance themes.

Gill et al. (2026), Agentic AI: Vision and challenges, PLOS Complex Systems, Fig. 3. CC BY 4.0. Unmodified. · CC BY 4.0

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Cloud, fog and edge

A layered conceptual comparison places processing capabilities across cloud, fog and edge infrastructure.

Gill et al. (2024), Edge AI: A Taxonomy, Systematic Review and Future Directions, arXiv:2407.04053v2, Fig. 1. CC BY 4.0. Unmodified. · CC BY 4.0 (author-deposited arXiv v2)

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Edge AI architecture

A conceptual architecture shows data from IoT devices flowing to edge nodes, with AI results returning.

Gill et al. (2024), Edge AI: A Taxonomy, Systematic Review and Future Directions, arXiv:2407.04053v2, Fig. 2. CC BY 4.0. Unmodified. · CC BY 4.0 (author-deposited arXiv v2)

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Edge AI application domains

A domain map links six edge-AI application areas with their processing objectives.

Gill et al. (2024), Edge AI: A Taxonomy, Systematic Review and Future Directions, arXiv:2407.04053v2, Fig. 3. CC BY 4.0. Unmodified. · CC BY 4.0 (author-deposited arXiv v2)

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CloudAIBus system model

The system diagram links workload analysis and DeepAR forecasting to resource management and VM autoscaling.

Velu, Gill, Murugesan, Wu and Li, CloudAIBus (2024), author repository. Apache-2.0 repository licence. Unmodified. · Apache-2.0 at repository level; no separate image-specific notice found

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RF capsule localisation with body-worn anchors, a cylindrical model and a learned conditional flow

Conceptual overview of RF capsule localisation: wearable anchors, a cylindrical model and a learned conditional flow.

Murugesan et al., EuCAP 2026 paper source. · Author-supplied research figure, included in this private draft.

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Anatomical illustration of the large intestine

The large intestine. Anatomical context for research into gastrointestinal shape variation.

National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health. · NIDDK media-library image, reproduced unchanged with requested credit.

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Robotics demonstration at EME Hub Summer School in Glasgow

A quadruped robot and wheeled Jackal platform in the demonstration area at the EME Hub Summer School, 31 July 2026.

Photograph supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Source capture metadata removed; photograph unchanged.

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University of Glasgow tower during the EME Hub Summer School visit

The University of Glasgow during my visit for the EME Hub Summer School, July 2026.

Photograph supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Source capture metadata removed; photograph unchanged.

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Architecture diagram showing users sending image requests to Amazon EKS, AWS Fargate and a scalable inference service, then receiving prediction responses.

Serverless deployment architecture for tuberculosis prediction using Amazon EKS and AWS Fargate.

Fig. 3 from S. S. Murugesan, S. Velu, M. Golec, H. Wu and S. S. Gill, IEEE Journal of Biomedical and Health Informatics 28(9), 5043–5054 (2024), doi:10.1109/JBHI.2024.3367736. © 2024 IEEE. · Not openly licensed. IEEE copyright with author-retained reuse provisions.

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GAIKube framework diagram connecting DGAN-generated workload data, TimesFM prediction, a scheduler and heterogeneous edge servers.

GAIKube combines generative workload data, TimesFM forecasting and Kubernetes container orchestration.

GAIKube framework by Babar Ali et al., author repository accompanying doi:10.1109/TCCN.2024.3508771. © 2024 Babar Ali. BSD-3-Clause repository licence. · BSD-3-Clause at repository/documentation level; no separate figure-specific licence notice found.

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Attendees speaking beside a CE-Track display table at a MedTech Venture Builder event

CE-Track at a MedTech Venture Builder event, July 2026. A frame from the video supplied for this portfolio.

Video supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Original composition retained; source capture metadata removed.

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Conference attendees seated around a dinner table.

Dinner with fellow attendees at EuCAP 2026 in Dublin.

Photograph supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Source metadata removed; primary photograph unchanged.

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Ships, dockside buildings and cranes along Dublin waterfront under a blue sky.

Dublin waterfront during the EuCAP 2026 visit.

Photograph supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Source metadata removed; primary photograph unchanged.

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A speaker on a blue-lit stage beneath a slide containing research-themed quotations.

Attending a conference talk at EuCAP 2026.

Photograph supplied by Subramaniam Murugesan. Presentation content belongs to its authors. · Used with the portfolio owner’s permission. Source metadata removed; primary photograph unchanged.

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Warm sunset clouds above a Dublin waterside street and church spire.

An evening in Dublin during EuCAP 2026.

Photograph supplied by Subramaniam Murugesan. · Used with the portfolio owner’s permission. Source metadata removed; primary photograph unchanged.

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A projected technical slide describing a three-layer phantom for antenna and propagation modelling.

Attending a EuCAP 2026 session on tissue-mimicking phantoms for antenna and propagation modelling.

Photograph supplied by Subramaniam Murugesan. Presentation content belongs to its authors. · Used with the portfolio owner’s permission. Source metadata removed; primary photograph unchanged.

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