Nokshi Technology

Publications

Government-published, industry-commissioned, and peer-reviewed work.

The selection below is the published record associated with the studio's founder. The two featured 2024 publications address applied artificial intelligence directly; the earlier entries belong to the scientific research background from which the studio's engineering practice is drawn.

UK Government · Department for Science, Innovation and Technology (DSIT)

2024

Cyber security risks to artificial intelligence

McCay, Al-Khalidi, Peng, Crossman-Smith, Barua

A commissioned whitepaper for the UK Department for Science, Innovation and Technology identifying twelve critical threat vectors across the artificial-intelligence lifecycle — data, model, and deployment layers — and synthesising findings from ten-plus cross-sector expert interviews into governance and mitigation recommendations. Permanently hosted on the UK Government publishing service.

AI governanceCyber-securityGovernment-published

Read the whitepaper (PDF, UK Government) →

Jersey Finance

2024

Guide to Artificial Intelligence in Jersey's Finance Industry

McCay and Barua

A commissioned industry guide for Jersey's finance sector, addressing the practical and governance dimensions of artificial-intelligence adoption in a financial-services context. Published by Jersey Finance as part of the industry's applied-AI programme.

Financial servicesAI adoptionIndustry guide

Earlier academic work

Peer-reviewed publications from the scientific research period.

The entries below are included for completeness — they inform the studio's scientific-computing orientation rather than its current artificial-intelligence practice.

  • 2018 · Peer-reviewed journal publication

    Rheo-NMR investigations of shear-banding and related flow phenomena (Colbourne, Barua et al.)

    A peer-reviewed contribution from the doctoral and early-career research period. Representative of the scientific-computing and experimental-physics background the studio's engineering work continues to draw on.

  • 2014 · Peer-reviewed journal publication

    Steam-explosion pretreatment of lignocellulosic biomass — process-modelling contribution

    An earlier peer-reviewed contribution in the area of bio-process modelling, from the master's research period at University College London.

Related

The publications above inform the studio's advisory practice.

The governance and cyber-security themes of the DSIT whitepaper, and the sector-specific deployment guidance of the Jersey Finance paper, are both drawn on directly in the studio's AI strategy and governance engagements.

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