Professor John Davies is a Senior Research Manager in BT’s Applied Research department, where he leads a team focussed on Internet of Things, Edge Computing, Data Analytics and related technologies and applications.
He is also a Visiting Professor at the Open University and University of Hull, UK. His current research interests include the application of Internet of Things and Edge Computing to smart cities, smart energy grids, business intelligence and agritech.
He is a frequent speaker at industry conferences and has authored over 100 scientific publications. He is a Fellow of the British Computer Society and a Chartered Engineer.
Dani Anderson currently works on the design and implementation of private 5G networks using shared spectrum, and agile SDR implementations across (low/mid) frequency bands from 400MHz to 4GHz.
Building on key partnerships with tier2 RAN providers, Dani has worked on projects including 5GRailNext, designing a standalone 5G demonstrator for Glasgow’s Subway, and a recent NB-IoT project to connect smart meters using shared spectrum RAN solutions.
Dani is currently one of the leads on a joint project with AFRC/NMIS to create a demonstration for N77 shared spectrum networks for Advanced manufacturing environments running in 2021.
Software Defined Radio and Shared Spectrum for Industry 4.0
Stephen Phipson CBE has been the Chief Executive of Make UK since joining in 2017.
Stephen previously spent 5 years as a senior civil servant holding the position of Head of the Defence and Security Organisation within the Department for International trade delivering export support to UK defence and security businesses and prior to this Stephen held the position of Director for Security Industry Engagement within the Office for Security and Counter Terrorism at the Home Office.
Before serving in the UK Government Stephen spent 35 years in senior roles in the manufacturing industry including 15 years with Smiths Group plc as President of Smiths Detection where he was awarded a CBE in 2010 for services to the Security industry. Stephen has worked extensively abroad in high technology manufacturing businesses and started his career as an engineering apprentice with the Plessey company.
How UK manufacturing can build a digital, global and green future
With over 20 years’ experience in industry, Marc specialises in composite design and analysis with a passion, demonstrating success in the digital transformation of engineering practices throughout his career.
Following his MSc in Mechanical Engineering from Stellenbosch University and research activities across the automotive and defence sectors in South Africa, Marc joined the composite research team at Airbus UK, culminating in his role as Head of Analysis for the ALCAS programme, a precursor to the A350.
After leaving Airbus, he ran a private company working across major aerospace OEMs as a specialist in composite analysis and design until joining GKN Aerospace as global Head of Engineering Methodology, responsible for driving engineering change across 56 sites globally.
In 2019 he joined the National Composites Centre as Head of Digital, leading the Digital Engineering Technology & Innovation programme where he is responsible driving the application and adoption of digital technologies to benefit the UK composite engineering and manufacturing industry.
Duncan McFarlane is Professor of Industrial Information Engineering at the University of Cambridge, head of Distributed Information & Automation Lab, chairman of Redbite Solutions Ltd and fellow of St John's College, Fellow of the IET, Honorary Academic Fellow at Trinity College, Melbourne and Visiting Professor at University of Melbourne.
His research work is in intelligent industrial automation, low cost digital systems, resilient control, RFID integration, track and trace systems, IoT and industrial logistics.
He was Research Director of the Auto ID Centre [2000-3]. He is founder and Chairman of RedBite Solutions Ltd - an industrial RFID and track & trace and IoT based asset management solutions company. He leads the Cambridge – Boeing research partnership is Digital Manufacturing theme lead at Cambridge. He is Principal Investigator on the Digital Manufacturing on a Shoestring programme developing low cost digital solutions for small manufacturers.
From March to July 2020 he led a team which won the RAE Presidents Award for providing Industrial Engineering support to local hospitals managing the Covid-19 Epidemic.
Since August 2020 he has also been Operations Logistics lead at Cambridge for its asymptomatic student Covid-19 testing programme.
Low Cost Digital Solutions for SMEs - Digital Manufacturing on a Shoestring
Professor Sam Turner is the Chief Technology Officer (CTO) of the High Value Manufacturing (HVM) Catapult. Sam works across the HVM Catapult centres and stakeholders, including government, to develop manufacturing strategy for the UK. He is part of the Made Smarter strategy implementation group led by Juergen Maier and was part of the review team. In this role Sam has chaired the D4I digital industry group, the Through Life Engineering Services (TES) Council and the IMechE Manufacturing Industries Division.
He joined the HVM Catapult team in 2017 from his role as CTO of the Advanced Manufacturing Research Centre (AMRC) with Boeing, where he worked on a range of projects and capabilities including the flagship digital facility Factory 2050, machining, casting and composites technology. As a founding member of the AMRC, Sam led the growth of the AMRC’s Machining Group, with successes in delivering impact to UK industry, before moving into the CTO role. Sam has over 20 years experience in manufacturing working across the aerospace, steel, defence, automotive sectors.
The HVMC and opportunities for UK Smart Connected Factories
Since 2013, Ste has led the Broadband, 5G and Connectivity service at Worcestershire County Council. Including the Superfast and Gigabit agendas. Identifying the sectors of Manufacturing and wider industry along with Health and Social Care as being those with the most potential to benefit from the emergence of 5G and supported applications, whilst also having the highest potential to impact on Worcestershire’s residents and businesses.
Ste has been the lead officer throughout the DCMS supported Worcestershire 5G project, focussed around Industry 4.0 and Security by Design and the ongoing DCMS supported West Mercia 5G project which is exploring models for 5G deployment in rural areas and applications across health and social care.
Post project closure, having demonstrated the productivity benefits of 5G, in particular to the advanced manufacturing sector, Ste has led the transition from the Worcestershire 5G project into a Testbed as a Service, providing services to customers. This testbed is launching as nexGworx in June 2021.
Ste has a background in commercial, programme and project and programme management in both public and private sectors and across a range of disciplines from technology and change management to global sports events such as Olympic and Paralympic Games, Commonwealth Games and single sport world championships.
5G So What? A Testbed's view on Industry 4.0 and the future with nexGworx
Steven Carter works within Rolls-Royce plc. Innovation Hub function as a Technical specialist in SMART Factories - Cyber-Physical Systems.
He has a background within the Manufacturing sector with technology development and application. Specifically developing advanced robotic and automation systems for new manufacturing technologies and assembly processes along with designing and delivering new SMART factories with integrated Digital Manufacturing and IT Systems.
In addition, he also works with research facilities on new technology programmes. External recognised specialist within his field he is also on several Industry level standards bodies technical panels with BSI, ISO, IEC, and CEN on range of topics including Robotics, Automation, Industrial Data, AI, IoT and UK5G.
Oliver is a Manufacturing Technology team leader within BAE Systems’ Air sector, with a team responsible for developing 5G, IIoT and other digital manufacturing capabilities for the Factory of the Future.
Oliver has 20 years' experience in aircraft manufacture at BAE Systems; through roles as a mechanical engineer across multiple platforms, manufacturing engineer focussing on lean and six sigma, and quality lead for Advanced Technology Solutions.
Panel Discussion: Smart Connected Manufacturing – Q&A to the big questions
Sarah is leading BT Enterprise’s unit’s relationships with its business and public sector customers.
Having worked for BT for 24 years and with a wealth of experience in senior sales positions across the business, the Coventry-born executive, who is based in the Wirral, started her career at BT selling analogue mobile to small and medium sized businesses.
Sarah’s current focus is helping businesses survive the economic impact of the coronavirus situation and in the longer term she wants BT to play a key role in the future prosperity of the Midlands and North of England, using the power of Technology to enrich the communities and industries they serve.
Panel Discussion: Smart Connected Manufacturing – Q&A to the big questions
Rab Scott is Head of Digital at the University of Sheffield’s Advanced Manufacturing Research Centre (AMRC). He has been a member of the AMRC staff since its beginning in 2001, after heading up the Virtual Reality and Simulation activities he now leads on the strategic development and implementation of digital solutions across the whole organisation.
Rab is the operational chair of the High Value Manufacturing Catapult Digital Strategy Team. He sits on the Steering Committee of Immerse UK (the UK’s body for immersive technologies), the IET’s Digital Panel and their Applied Visualisation Forum.
He is also the IET’s spokesman for virtual reality. Rab has recently been made an Honorary Research Fellow at the University of Exeter Business School.
Paul Ceely has over 20 years' experience in technology and network strategy, covering strategy and solutions for mobile, internet, security, network management and technology evolution in general. He is responsible for the medium to long-term technology strategy for Digital Catapult, looking at future digital technology landscape and identifying priority areas to focus on.
He led network strategy in the operators BT and EE in the UK, developing the 5G network strategy for BT, was instrumental in the strategy for EEs 4G launch in 2012, as well as taking a leading role in the network strategy during the merger of BT and EE, and Orange and T-Mobile to become EE.
Having studied Physics at Cambridge University, he started his career as a graduate working on IP networking and security in BT, before leaving for a start-up focusing on network management and network security.
Jon France is the Head of Industry Security at the GSMA. He has been with the GSMA since 2008 having held several technical positions and moving into current position in 2018.
He loves all things technical and is passionate about security as global societal reliance on technology rises, in part driven by the 5G era and strives to ensure that it is resilient and secure and meets operators, consumers and the wider ecosystem expectations
GSMA: The technology road map – from 4G to 5G and onto 6
Another conference produced at the Adastral Park Hybrid studio and this time we were able to invite young researchers on site to watch the production of the conference live "Top of the Pops - style"!
TFNetwork teamed up with iSee
VIRTUAL
- Conference& Workshop -
Workshop: iSee - What do Users Want when Explaining an AI System?
An Introduction to the iSee Project and Co-Creation Activities.
Conference: Data Science - The beating heart of AI
All of the recent successes in Artificial Intelligence (AI) have been made possible by analysing data – lots of it.
Data is the raw material for the type of machine learning that has been so successful in creating ever more AI applications. Data Science is at the heart of it. It sits at the cross-roads of statistics and machine learning. Data Science turns data into insights which can be cast into models through machine learning. Over three days we will explore the state of the art in Data Science and how it leads to applications in industry.
All models are wrong! – The foundations of modern Data Science
10:00 - 10:15Prof Tim Whitley, MD Applied Research for BT and MD of BT’s Technology Campus ‘Adastral Park’
Welcome to 'Data Science - The beating heart of AI'
Recording available, please click link above
10:15 - 10:30Dr Detlef Nauck, Head of AI & Data Science Research at BT, Visiting Professor at Bournemouth University
Programming with Data
Experienced Data Scientists know that the biggest challenge to using insights from data in an operational setting is to get hold of good quality data. Pretty much every talk or blog mentions that 80% of the effort in any data science project are spent on data access and data wrangling. My take is that this effort will approach 99% soon simply because the analytics and machine learning parts are becoming largely automated. It is time that we shift focus from techniques and software to data and make it clear to ourselves what we are doing in Data Science and in particular in Machine Learning – we are programming with data.
Recording available, please click link above
10:30 - 10:45Michael Free, BT Michael Free - AI Research Manager
Models that cheat - Making sure it really works
Machine Learning has made great strides in hard, unstructured problems with the advent of deep learning. However, such progress does not come free of issues. Often treated as black box solutions, interpretability and explainability are complex issues when building deep learning models, and poorly framed experiments and ‘dodgy data’ have led to a litany of models that don’t really work in practise – they merely ‘cheat’ the limited test you’ve given them.
Recording available, please click link above
10:45 - 11:00Blaise F Egan, BT Data Science and Statistics Specialist
Statistics: the original data science Statistical science is the oldest of the components of what is now called Data Science. I will give a quick run-through of some of the bigger landmarks on the road to where we are now and how we got here.
Are we nearly there yet? Model baselines and performance
The process of building models has a strong emphasis on ‘digital performance testing’. In other words, how accurate is my model? Whilst this makes sense when building prototypes or testing the state of the art, it can lead to problems when developing models for production. In this talk we turn the tables and ask the question, how good does my model need to be?
Recording available, please click link above
11:15 - 11:30Prof Alessio Lomuscio, Department of Computing, Imperial College London
Towards verifying neural systems A key difficulty in the deployment of AI solutions, including machine learning, remains their inherent fragility and difficulty of certification and explainability. Formal verification has long been employed in the analysis and debugging of traditional computer systems, including hardware and networks, but its deployment in the context of AI-systems remains largely unexplored.
Data is all around us and transforming how organisations are having to operate. As a result, data is significantly impacting the future of work. In this talk, we will cover what are the key skills for individuals and organisation to invest in across all roles for a successful future.
Recording available, please click link above
11:45 - 12:30
Panel on 'Foundations of Data Science' and Q&A
When we analyse data we often search for a model to describe what we find, to make decisions, or to make predictions. A model is always a simplification of what we find in the data and so “all models are wrong but some are useful” (George Box, 1978). What do we need to do to make sure our models are as good and useful as they can be?
That doesn't look right! – How to find the glitches in your data and models (anomaly detection, bias/fairness)
14:00 - 14:10 Julien Gruhier, Senior Manager Data Scientist at BT Challenges of analysing mobile network data The Geo-spatial analytics market is large and expanding every year. As a Telecommunication operator we can access part of this market relying primarily on the meta data of our mobile network. Despite a limited location accuracy compared with GPS based providers, we are nevertheless a strong contender. However, there are numerous data science challenges that need to be tackled to extract relevant insights from this wealth of information. I will touch on some of our core challenges to filter out noise from the signal to enable the extraction of data insights and help our customers to make data driven decisions. No recording available
14:10 - 14:15 Oliver Waring, Senior Data Science Specialist at BT Q&A for "Challenges of analysing mobile network data"
No recording available
14:15 - 14:30 Trevor Burbridge, BT
Anomaly Detection
A look at anomaly detection, focussing on streamed data and an examination of the underlying models and potential pitfalls
No recording available
14:30 - 14:45 Kes Ward, Mathematics PhD student at Lancaster University
Anomaly Detection at the Edge
In an Internet of Things where everything is collecting and analysing its own data, we need edge analytics to help us sort the meaningful from the muck without breaking the computational bank. In this talk I will present a new statistical method for finding anomalies of different shapes and sizes in a real-time data signal, while working under extremely tight computational constraints.
Faisal Nazir on "The importance of explainability of AI"
Data scientist could potentially wield great power over the lives of everyday people. This power comes from how they develop ML models that can be used to make life-changing decisions. Explainability - having knowledge of why an model makes an inference - is the field that tries make sense of a models decision. We will discuss what tooling is available to Data Scientists to help them find out what is going on with the models they train.
Subhash Talluri on "Data Science on AWS"
AWS has been continually expanding its service portfolio to support virtually any cloud workload, including many services and features in the area of artificial intelligence. In the context of data science projects on AWS, the benefits of cloud computing include agility, cost savings, elasticity, faster innovation and smooth transition from prototype to production. Amazon SageMaker is a fully managed offering that addresses every aspect of machine learning by its modular design. All machine intelligence is powered by data. However, not all data are created equal. We need to critically evaluate machine-learning products from a standpoint that prioritizes the quality of the data streaming into them. This necessitates the need for a data lake or a data platform with considerations
Recording available, please click either of the links above
Bias, transparency and governance in automated decision making
As they look at the great landscape of AI, organisations are getting to picture machine learning in finer detail. But the closer they get to the detail, the more they notice a chasm emerging between prediction and automated decision. And for no organisation does that chasm pose greater danger than those who operate in regulated industries.
Recording available, please click link above
15:15 - 15:30Alex Healing, Future Cyber Defence Research at BT
Human-Machine Collaborative Analytics
The use of AI is clearly a critical part of analysing data at the scale that today’s IT systems allow, but sadly the human user in the system is often an afterthought. This talk will touch on the challenge, opportunity and progress made so far to create more human-centric AI systems for data analysis, involving visual interfaces for presenting machine learning results, and to help analysts better explore and generate insight from data.
Rapidly developing areas of information technology are generating massive amounts of data. Human errors, sensor failures, and other unforeseen circumstances unfortunately tend to undermine the quality and consistency of these datasets by introducing outliers -- data points that exhibit surprising behaviour when compared to the rest of the data.
Recording available, please click link above
15:45 - 16:30
Panel on 'Data quality and data anomalies' and Q&A
Sometimes the data we work with is not right. Some parts may be missing or some may be plain wrong. Data can misrepresent the world which leads to bias in models. How do we find what’s wrong in data and models – or what looks wrong but tells us something interesting?
Where's my model? – Putting it all together and running the AI factory
10:00 - 10:15Zoë Webster, Artificial Intelligence Director - Data Solutions, BT
Establishing an AI Centre of Enablement
There are a number of questions to consider when setting up a team to accelerate the development and adoption of AI at scale. Not all of these centre on the technology. This talk will discuss some of the questions that have focused my attention here at BT and the perspectives that are important in addressing them.
Recording available, please click link above
10:15 - 10:30James Hamilton, TUI Head of Commercial Analytics
It’s not all about the model – challenges applying artificial intelligence
In TUI we have a very successful automated pricing system that has delivered significant benefits over a number of years. We continue to develop it incrementally and our current focus is on better use of our data and applying artificial intelligence. We have experienced a number of challenges in applying these approaches and I will talk about our experiences, how we are overcoming them and why if we get to training a new model we have already done the hard part.
ML Journey into production - What are the challenges and how to tackle them?
In this talk, we will share the key challenges that the organizations are likely to face when they move their machine learning models from experimentation stage into production and provide recommendations on how to handle these challenges with the right process and technology in place.
No recording available
10:45 - 11:00Prof Maria Fasli, Executive Dean, Faculty of Science and Health, University of Essex
Collaboration in Data Science Projects
No recording available
11:00 - 11:15Libby Kinsey, Head of Data Science - Strategy and Operations at Ocado Technologies
Scaling Data Science
Data science already powers insights, products and capabilities in every part of Ocado Technology’s solutions, i.e. we know how to do data science at scale. The next big challenge is about reducing effort to value. Scaling data science is hard.
Recording available, please click link above
11:15 - 11:30Dr James Grant, Lecturer in Statistics, Lancaster University
Multi-armed Bandits
In modern data science applications, there is often the opportunity to observe the effects of a decision and revise it, and to iterate this process repeatedly, experimenting in order to learn an optimal action. Multi-armed bandits provide mathematical models of such settings, where designing an optimal sequence of decisions can be highly challenging. This talk will give an introduction to multi-armed bandit models, and explore the best techniques used to tackle the problems.
Recording available, please click link above
11:30 - 11:45Dr Matloob Khushi, Senior Lecturer in AI at the University of Suffolk - UoS
AI: The Fourth Edge
In this talk Matloob will talk about how AI has transformed our society and has defined new norms of livings. He will also share some of the outcomes of his AI research.
Recording available, please click link above
11:45 - 12:30
Panel on 'Running Data Science for real'
When we have analysed all the data, when we have
built all the models, we need to bring everything back from the lab to the real
world. How does Data Science ultimately lead to models in operation and how do
we keep track of it all?
Industrialist, Chair of the Digital Catapult and former Chief Executive of Siemens UK
Juergen Maier is Chair of the Digital Catapult, founded and co-Chairs Made Smarter and is Vice-Chair of the Northern Powerhouse Partnership where he supports the drive for the green re-industrialisation of the North of England. He advises tech start-up and scale-up businesses which are a key part of the industrial ecosystem creating the green 4th Industrial revolution. In that capacity Juergen advises the Welsh hydrogen car company Riversimple.
Juergen is the former Chief Executive of Siemens UK. A position he held from July 2014 to December 2019. Over his 33 year career with Siemens he held a number of senior roles within Siemens in the UK and Germany.
Juergen joined Siemens in 1986 as a graduate engineer with a BSc in production engineering from Nottingham Trent University, on a Siemens-sponsored graduate programme. He was made an honorary professor of Engineering at the University of Manchester in March 2014 and became a Fellow of the Royal Academy of Engineering in September 2017. Juergen has also received honorary doctorates for his services to UK Science and Engineering from the Universities of Lincoln, Nottingham Trent, Salford Manchester, Cranfield, Sheffield and Manchester Metropolitan who also made him an honorary Professor in 2019. Juergen was awarded a Fellowship of the City & Guilds Institute in 2020, in recognition of skills development support for technical apprenticeships and workplace upskilling for 4th Industrial Revolution technologies.He was awarded a CBE in the New Years honours list 2019.
Made Smarter in support of Smart Connected Manufacturing
Mark's career spans over 30 years in the communications and digital sectors with the likes of O2, giffgaff, BT as well as being focussed in his own County of Worcestershire, chairing the LEP and the exciting DCMS 5G test beds.
Mark is focused on driving greater digital connectivity to the benefit of all.
Born in Warwickshire, Katherine joined the HVM Catapult as CEO in June 2021 following a 16 year career at Airbus, including as Senior Vice President leading the company’s external engagement and strategy in the UK.
Katherine’s previous employment was with Vauxhall Motors where she headed up their government affairs function and prior to that worked for Hill and Knowlton Public Relations in London, working with a range of industrial clients.
Katherine was awarded the Order of Commander of the British Empire in January 2019 for services to the aerospace and aviation sector. She has served on various boards of public/private enterprises. She is Vice President, Aerospace on the Council of ADS (the UK aerospace trade association), on the Board of the Aerospace Growth Partnership (part of the UK Government’s Industrial Strategy) and of the Wales Government Science and Innovation Council.
In November 2019 Katherine was appointed as Chair of the Western Gateway, a cross government and local authority initiative which will aim to promote and maximise economic growth across south Wales and the West of England. Katherine managed the public affairs for VentilatorChallengeUK which was led by the HVM Catapult.
In July 2018, Katherine founded the UK’s Women in Aviation and Aerospace Charter which is committed to building a fair and balanced industry for women in this sector and is on the Board of the International Aviation Women’s Association. Katherine has an Honorary Doctorate from Cranfield University.
In January, The High Value Manufacturing Catapult announced that Katherine would succeed Dick Elsy as its CEO. She will join the organisation in June this year.
High Value Manufacturing Catapult: Their role and the importance of Smart Connected Manufacturing
Prof Tim Whitley is a BT Distinguished Engineer and serves as MD Applied Research for BT and MD of BT’s Technology Campus ‘Adastral Park’ in Suffolk, England. He is accountable for all aspects of BT’s Global Research activities, which includes applied research, technology and partnerships with world leading universities.
From 2007 to 2011 he was BT Group Strategy Director. Tim holds a BSc in Physics and a PhD in Optical Fibre Systems. Tim is a Board member for the New Anglia Local Enterprise Partnership and a BT visiting Professor with the School of Computer Science and Electronic Engineering at the University of Essex.
In December 2016, Professor Whitley was appointed as a member of the Engineering and Physical Sciences Research Council (EPSRC) by the UK Government.
In February 2018 Tim was admitted as BT's William Pitt Fellow at Pembroke College Cambridge.
Tim joined BT in 1981 as a Telephone Engineering apprentice in North Wales and has held roles in Research, Technical Architecture, Strategic Analysis and Corporate Strategy.
Welcome to TFNetwork and setting the scene for the conference and Smart Connected Manufacturing
The University of Essex School of Computer Science and Electronics Engineering Project Open Day could not be held this year due to the ongoing pandemic. The Project Open Day is an important event in the academic calendar of the school, connecting final year students presenting their projects to a broader community consisting of Industry/Professional bodies, CSEE Staff and students of CSEE (Year 1/Year 2).
As a small replacement, with great pleasure the University have released:
A Video showing all the e-posters students have created (many with animations), to summarize their work/project in one slide. The Video has an introduction from the Head of School Prof Anthony Vickers and Module supervisors.
Enjoy browsing through the booklet and the poster video - if you want more information about any particular project, student who developed it – please get in touch!