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Industry College Networking 2021

26 November 2021 09:30 - 17:00

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.

Organisers

  • Professor Joe Sweeney, University of Salford

    Professor Joe Sweeney was awarded a BSc in Chemistry and elected an Associate of the Royal College of Science at Imperial College, and carried out a PhD studying synthetic uses of aziridines and allylstannanes at the University of Oxford. In 1990, Joe was appointed as Lecturer in Chemistry at the University of Bristol where he developed research projects focused on new methods for preparation and use of polyhydroxylated ring structures, aziridines and metalled furanones, and the total synthesis of several naturally-occurring lactones.

    He then moved to a Readership in Organic Chemistry at the University of Reading. In 2007, Joe was awarded the inaugural Faculty Output Prize at the University of Reading for his group's publication on asymmetric rearrangements, and became Professor of Synthesis and Chemical Biology. In 2008, Joe was awarded a Royal Society Industry Fellowship with AstraZeneca, which was later extended. Joe is now Dean for the School of Science, Engineering and Environment at the University of Salford.

Schedule

Chair

Professor Joe Sweeney, University of Salford

Opening remarks

Professor Joe Sweeney, University of Salford

Overview of our annual spinout data report and upcoming entrepreneur handbook

Joy Aston, Royal Academy of Engineering

The key stages of company creation

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

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

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.

Mark Evans, Founder and CEO of Adaptix Imaging

Chair

Professor Joe Sweeney, University of Salford

Entrepreneur in Residence Case studies

Dr Alan Roth, University of Oxford

Intro to my Industry Fellowship

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

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

Professor Russell Morris FRS, University of St Andrews

Using Boron Doped Diamond for Wastewater Treatment and Disinfection

Joshua Tully, University of Warwick

Context-Aware Facial Inpainting with GANs

Jireh Jam, Manchester Metropolitan University

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

Salvador Barranco Cárceles, University of Edinburgh

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

Zichen Yang, University of Nottingam

Development of a New Blood Circulatory System Simulator

Xin Shu, University of Nottingham

Functional Aluminium Matrix Nanocomposites

Sunil Poudel, University of Exeter

Chair

Professor Joe Sweeney, University of Salford

Active Controls for Sustainable Aviation

Dr Etienne Coetzee, Airbus

Professor Ian Fairlamb, University of York

Using Light to enable Flight

Dr Christopher Holmes, University of Southampton

Testing Autonomous Vehicle Perception Safety on Hardware Accelerators

Dr Ajitha Rajan, University of Edinburgh

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

Dr Stefan Marr, University of Kent

AI-guided solutions for early dementia prediction

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.

Professor Zoe Kourtzi, University of Cambridge

Thermal Metrology in Steelmaking

Dr Jon Willmott, University of Sheffield

EiR pitches An opportunity for EiRs to pitch collaborative projects and discuss challenges with the group.
Entrepreneur in Residence activity case studies

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

Dr Danuta Mossakowska, Malopolska Centre for Biotechnology Krakow

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

Dr Rupert Lewis, Director of Policy, The Royal Society