Join us at the Kent Technology Fair at the University of Kent on 20 and 21 June 2022, to discover how the latest research can help your business.
During the Fair, we will dive into three themes: Healthcare Technologies, Security and Environmental Sustainability. Our range of speakers will explore each of these themes in details, and you will have the chance to learn about our latest advancements in a variety of formats, from lectures and talks, to wandering through the exhibitor’s fair or just striking an engaging chat with one of our renowned academic experts.
The confirmed speakers for the event are:
Professor Ben Azvine (BT) – Ben is Global head of security research and innovation at BT. He has led research programmes to develop and exploit novel Artificial Intelligence technology to support next generation IT systems and has held senior, principal, chief research scientist posts at BT’s global R&D headquarters in Ipswich.
Dr Andrew Hopkins (ARM) – Andrew is Director of System Technology at ARM where he drives technology strategy within ARM’s Automotive and IoT business focusing on AI, ML and functional safety systems. He was previously heavily involved in successful Kent technology start-up UltraSoC Technologies, now part of Siemens Digital Industries.
Dr Chris Allgrove (Ingenium Biometric Laboratories) – Chris is co-founder of Ingenium Biometrics Laboratories Ltd, a biometric services company providing consultancy, test and training support to the digital identity industry. A Kent graduate, he has previously held several senior positions relating to biometrics technology across UK Government.
Dr Jason Nurse (University of Kent) – Jason’s research concentrates on investigating interdisciplinary approaches to enhance and maintain cyber security for organisations, individuals and governments. This often focuses on human individuals and users and how they interact with technologies.
Dr James Bentham (University of Kent) – James’ research revolves around the development of Bayesian hierarchical models and their application to data on risk factors for non-communicable diseases. He is also interested in the application of multivariate statistical methods to genetic data, and the development text mining methods.
Professor Yong Yan (University of Kent) – Yong Yan’s main areas of expertise are in Sensors, Instrumentation, Measurement, Condition Monitoring, Digital Signal Processing, Digital Image Processing and Applications of Artificial Intelligence. He has worked on the application of his knowledge on flow measurement and instrumentation, condition monitoring of industrial systems and processes, quality assessment of recycled materials
Book your ticket for the event here:
If you have any questions, please contact us at CEMSRI@kent.ac.uk