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Industry College Networking 2021

Conference

Location

The Royal Society, London, 6-9 Carlton House Terrace, London, SW1Y 5AG

Overview

Credit: Rolls-Royce

This conference will address cross-sector collaborations by bringing together past and current Royal Society Industry FellowsEntrepreneurs in Residence and their collaborators.

Participants will have the opportunity to discuss issues and successes and hear about the wider work of the Society.

Event organisers

Select an organiser for more information

Schedule of talks

26 November

09:30-10:00

Registration and breakfast

10:00-11:00

Commercialising ideas

4 talks Show detail Hide detail

Chairs

Professor Joe Sweeney, University of Salford

Opening remarks

Professor Joe Sweeney, University of Salford

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The clue is in the titles - Why Hardware is hard and why deep tech is deeply problematic

Mark Evans, Founder and CEO of Adaptix Imaging

Abstract

Mark will give an overview of the offer and journey of a Deep Tech start-up, and what he would have done differently based on experience to date.

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The key stages of company creation

Dr Fiona Marston OBE, Royal Society Entrepreneur in Residence at the Liverpool School of Tropical Medicine

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Overview of our annual spinout data report and upcoming entrepreneur handbook

Joy Aston, Royal Academy of Engineering

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11:00-11:20

Break

11:20-12:00

Commercialising Ideas - part 2

3 talks Show detail Hide detail

Chairs

Professor Joe Sweeney, University of Salford

What did a Royal Society Industry Fellowship ever do for me?

Professor Russell Morris FRS, University of St Andrews

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Intro to my Industry Fellowship

Professor I. David Abrahams, Director of the Isaac Newton Institute, University of Cambridge

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Entrepreneur in Residence Case studies

12:00-13:30

Lunch and PhD poster presentations

6 talks Show detail Hide detail

Context-Aware Facial Inpainting with GANs

Jireh Jam, Manchester Metropolitan University

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Using Boron Doped Diamond for Wastewater Treatment and Disinfection

Joshua Tully, University of Warwick

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Transforming Radiology: High Flux Field Emission for 3D Medical Imaging

Salvador Barranco Cárceles, University of Edinburgh

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Functional Aluminium Matrix Nanocomposites

Sunil Poudel, University of Exeter

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Development of a New Blood Circulatory System Simulator

Capillary refill time and SpO2 measurement using optical wireless pulse oximeter sensor

Zichen Yang, University of Nottingam

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13:30-15:00

Parallel: Entrepreneur in residence case studies and pitches

2 talks Show detail Hide detail

Entrepreneur in Residence activity case studies

James Otter, Founder of CommLit.Online, Ellipson, and former Entrepreneur in Residence

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EiR pitches

Abstract

An opportunity for EiRs to pitch collaborative projects and discuss challenges with the group.

13:30-15:00

Parallel: New Industry Fellows introductions

7 talks Show detail Hide detail

Chairs

Professor Joe Sweeney, University of Salford

Testing Autonomous Vehicle Perception Safety on Hardware Accelerators

Dr Ajitha Rajan, University of Edinburgh

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Using Light to enable Flight

Dr Christopher Holmes, University of Southampton

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Active Controls for Sustainable Aviation

Dr Etienne Coetzee, Airbus

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Professor Ian Fairlamb, University of York

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Thermal Metrology in Steelmaking

Dr Jon Willmott, University of Sheffield

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Building Faster Interpreters to Reduce Cost and Energy Use of Massive Ecommerce Systems

Dr Stefan Marr, University of Kent

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AI-guided solutions for early dementia prediction

Professor Zoe Kourtzi, University of Cambridge

Abstract

Alzheimer’s disease (AD) is characterised by a dynamic process of neurocognitive changes from normal cognition to mild cognitive impairment (MCI) and progression to dementia. However, not all individuals with MCI develop dementia. Predicting whether individuals with (MCI) or without symptoms (pre-symptomatic) will decline or remain stable is impeded by patient heterogeneity due to comorbidities that may lead to MCI diagnosis without progression to AD. Despite the importance of early diagnosis of AD for prognosis and personalised interventions, we still lack robust tools for predicting individual progression to dementia. Here, we propose a novel trajectory modelling approach that mines multimodal data patients to derive individualised prognostic scores of cognitive decline due to AD before symptoms occur. Our approach has strong potential to facilitate effective stratification of individuals based on prognostic disease trajectories, reducing patient misclassification with important implications for clinical practice and discovery of personalised interventions.

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13:30-16:00

Parallel: training workshop for students

14:45-15:15

Coffee and networking

15:15-15:45

Innovation policy at the Society and discussion

1 talk Show detail Hide detail

15:15-15:45 How is the Royal Society approaching innovation policy and what are your thoughts?

Dr Rupert Lewis, Director, Government Office for Science

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16:00-17:00

Drinks and canapes reception

Related events

Industry College Networking 2021

This Industry Fellows College networking event takes place at the Royal Society on 26 November from 10am - 5pm.

 

The Royal Society, London 6-9 Carlton House Terrace London SW1Y 5AG UK
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