Fringe Events 2026

King's Informatics Industry Showcase: Innovations in Computer Science & AI

Organised by King's College London

Hear from King's College London researchers on emerging technologies and practical applications in computer science and AI.

Join our London Tech Week fringe event for a showcase of the latest innovations in AI and LLMs, robotics, cybersecurity, digital healthcare, education and more.

Researchers from King’s Department of Informatics and the UKRI Centre for Doctoral Training in Safe and Trusted AI (STAI CDT) will demonstrate practical applications and discuss how their research addresses key economic, societal and environmental challenges. You’ll learn what we’re passionate about, see our research up close and meet the brilliant staff and students behind it.


Who is this event for?

The event is open to industry, public and third sectors with an interest in collaborating with King’s or wishing to meet emerging talent for AI and tech industry roles.


What can I expect on the day?

You’ll hear from expert speakers from both academia and industry, who are tackling real‑world challenges around trustworthy, transparent, and reliable AI.

Beyond the talks, you’ll have the chance to experience the research first-hand through an interactive exhibition showcasing cutting‑edge work across Informatics and the CDT. Expect live demos, prototypes, posters, and conversations with the students and academics behind the research.

Whether you’re scouting future collaborators, looking for fresh ideas, or simply curious about what’s coming next in tech, this is your chance to plug into the innovation happening at King’s.


Agenda

2.30pm - Registration and networking

3pm - Speaker sessions

3.45pm-5pm - Meet our researchers - demo & poster sessions

5pm-6pm - STAI CDT panel session

6pm - Event close

 

Event speakers

Our speaker session will feature lightning talks from a range of speakers, including:

Eric Orenstein

Deepening our understanding: AI in Ocean Science

Eric is an AI+ Senior Fellow at King's College London working at the intersection of computer science and ecology, enabling unique studies of rapidly fluctuating marine environments. His expertise in artificial intelligence and machine learning has provided novel perspectives on marine population dynamics, how they are impacted by their environment, and how they in turn influence the rest of the ecosystem.

The ocean’s immense scale and complexity leave much of the ecosystem un- or under-observed, with biological data available for only about 5% of its volume. These gaps limit both scientific insight and effective decision‑making for a resource worth trillions to the global economy. Eric's talk will highlight two approaches in development at King's: using AI models to propose geospatial locations to explore and integrating AI-based decision making on autonomous underwater vehicles for adaptive sampling.

Simon Miles

Aerogility

Simon Miles is Head of AI for Aerogility, a UK company that creates software to help aerospace organisations including airlines such as easyJet and engine manufactures such as Rolls Royce ensure that their aircraft fleets are maintained and ready to fly. We utilise a variety of technologies including simulation, multi-agent systems, planning, and more. Simon has a background in agent-based AI research and leads a team of developers at Aerogility constructing the models and algorithms required.

County Council and Student Projects

Hear from Department of Informatics students who took part in our Impact Accelerator with AWS. Final‑year master’s students worked with public sector partners, Richmond and Wandsworth Councils, to develop digital solutions using AWS technology to support social care and strengthen Deprivation of Liberty Safeguards (DoLS). At the showcase, students and local councillors share their experiences and reflect on the impact of the project.

 

 

Date and Time
Day 10 June
14:30 - 18:00
Location

Bush House 8th Floor

30 Aldwych

London

WC2B 4BG

Find on map
Host Contact Details
King's College London - nmes-events@kcl.ac.uk
Loading