SGAI

AI-2021 Forty-first SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 14-16 DECEMBER 2021 - a virtual conference


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Workshop Sessions

The first part of the conference comprises a range of workshops in two parallel streams. Delegates will find these events to be especially valuable where there is a current need to consider the introduction of new AI technologies into their own organisations.

There will be four half-day workshops, including the Twenty-sixth UK CBR Workshop, with breaks between the sessions. The programme is shown below.

Workshops organiser: Professor Adrian Hopgood, University of Portsmouth, UK

All times given below below are United Kingdom time.   Time in UK now

Stream 1 (breakout room) Stream 2 (breakout room)
9.30 a.m. to 11 a.m. AI for Future Digital Health I 26th UK CBR I
  Refreshment Break Refreshment Break
11.30 a.m. to 1 p.m. AI for Future Digital Health II 26th UK CBR II
  Lunch Break Lunch Break
2 p.m. to 3.30 pm. AI for Software Engineering & Software Engineering for AI I AI in Cybersecurity I
  Refreshment Break Refreshment Break
4 p.m. to 6 p.m. AI for Software Engineering & Software Engineering for AI II
(Ends 5.30 p.m.)
AI in Cybersecurity II
(Ends 6 p.m.)


The first day of the conference comprises a range of workshops, to be held on Tuesday 14th December in two parallel streams. Delegates will find these events to be especially valuable where there is a current need to consider the introduction of new AI technologies into their own organisations.

There will be four half-day workshops, including the Twenty-sixth UK CBR Workshop. Delegates are free to choose any combination of sessions to attend. The programme of workshops is shown below. There is a lunch break at 13:00-14:00 and there is a 30-minute refreshment break scheduled during the morning and afternoon sessions.

Workshops organiser: Professor Adrian Hopgood, University of Portsmouth, UK.


Morning - Stream 1 (09:30 - 13:00, including a 30-minute refreshment break)

AI for Future Digital Health

Chairs:
Prof Nirmalie Wiratunga, Robert Gordon University, Prof. Frans Coenen, University of Liverpool, and Dr Vitaly Kurlin, University of Liverpool

Following the success of this workshops in prior conferences, AI for Digital Health will again bring together AI practitioners representing health provider organisations, commercial enterprises with an interest in health care, and academic researchers. The workshop will encompass a number of strategic research themes including machine learning, medical diagnosis, analysis of health records and reasoning mechanisms to support decision making.

AI offers the potential to revolutionise healthcare; the potential benefits have been well reported. The need for AI skills in healthcare has been identified by governments, and named as the principal driver for personalised healthcare and as providing a potential solution to the health funding gaps. Examples where AI can benefit healthcare and wellbeing include wearable devices for monitoring individuals, more effective diagnoses, better understanding of treatments, the minimisation of clinical risks, the closure of care gaps, drug discovery and innovative preventive healthcare solutions.

Outline programme:

Session 1, Chair: Nirmalie Wiratunga (Aberdeen Robert Gordon University)
09:30 Welcome: Frans Coenen (University of Liverpool)
09:40 Keith Goatman (Canon Medical), AI for improving healthcare: for clinicians, patients, everyone!
10:20 Adrian Hopgood (University of Portsmouth), AI for medical diagnosis and triage.
10:40 Yanhua Xu (University of Liverpool), Predicting Influenza A Viral Host Using PSSM and Word Embeddings.
11:00 Break

Session 2, Chair: Vitaliy Kurlin (University of Liverpool)
11:30 Kyle Martin (Aberdeen Robert Gordon University), An Investigation of Machine Learning for Risk Stratification of Diabetic Foot Ulcer Formation Using Biomarker, Pressure and Temperature Data.
11:50 Obinwa Ozonze (University of Portsmouth), Healthy data: Improving health data quality using intelligent systems.
12:10 Anuja Vats (Norwegian University of Science and Technology), Towards learning with limited supervision for Capsule Endoscopy.
12:30 Daniel Widdowson (University of Liverpool), Data Science-based approach to solid crystalline materials.
12:50 Frans Coenen (Uni of Liverpool), Closing remarks.
13:00 Close

Morning - Stream 2 (09:30 - 13:00, including a 30-minute refreshment break)

AI for Software Engineering & Software Engineering for AI

Chairs:
Adam Ziolkowski, Dr Joost Noppen, and Alistair McCormick, BT Research

Software underpins almost all aspects of our lives today and code bases grow ever bigger and more complex as developers throughout the world write and commit many new lines of code each day. To account for this ever-growing use of software and the complexity that comes with it, people have made concerted efforts over many years to evolve software development discipline. These evolutions have encompassed many areas such as introducing more expressive programming languages, promoting the use of static analysis approaches to improve code quality, and making the whole development process more efficient using increased automation.

Alongside the ever-growing size and complexity of systems, the prevalence of software in areas that would never have previously required it is becoming more common. For instance, data scientists building reasoning models from big data often want to offer their capabilities for use by others. This brings new challenges, in that such citizen developers do not always have the expertise to use these advanced best practise tools and techniques, nor do they have the time or mandate to upskill in these areas.

AI offers the possibility to unlock new potential and opportunities in the process of engineering software, while building on the best practises of today. Some examples of this include the use of AI based techniques for detecting faults in applications, how AI approaches can be used to help in testing software and how AI can be used by developers to find the best architectures for their systems. All these examples help experienced developers manage the complexity of systems, meanwhile, AI can also be used in tooling that helps citizen developers to engineer robust applications, such as low-code platforms. In essence, AI can help augment the development process, allowing both citizen and experienced developers the space to focus on their area of expertise streamlining the adoption of best-in-class software engineering principles.

In this workshop we explore the current landscape of applying AI techniques to Software Engineering problems and the prospects for the future. Alongside this, the workshop will also cover approaches applying novel software engineering techniques in the AI space. We feature presentations Software Engineering researchers who are working on applying AI to software engineering and software engineering to AI.


Afternoon - Stream 1 (14:00 - 18:00, including a 30-minute refreshment break)

AI-CyberSec 2021: AI in Cybersecurity

Chairs:
Dr Sadiq Sani, BT Applied Research, and Dr Harsha Kalutarage, Robert Gordon University

The AI-CyberSec workshop organising committee would like to invite submissions of novel theoretical and applied research in all areas where AI and cybersecurity intersect. These include the effective use of AI technologies in defensive/offensive security applications, the malicious use of AI technologies, and the improvement of the security and resilience of AI technologies.

The workshop focuses on three research areas that intersect with AI and Security:

  1. AI for cybersecurity - studies that cover effective use of AI techniques to improve the security of systems and networks
  2. Malicious use of AI - studies that cover how advances in AI lead to new types of threats, expanding the existing threat landscape
  3. Cybersecurity for AI - studies that cover vulnerabilities of AI-enabled systems and how to protect AI-enabled systems from potential threats
Please see the AI-CyberSec 2021 webpage for further workshop information.

Afternoon - Stream 2 (14:00 - 17:30, including a 30-minute refreshment break)

26th Case-Based Reasoning Workshop

Programme Chairs:
Dr Stelios Kapetanakis, University of Brighton, Dr Frederic Stahl, DFKI, and Nadia Abouayoub, SGAI

The symposium will be a relatively informal occasion where you can meet CBR colleagues and exchange news, views and opinions as well as learning about the work of other researchers and practitioners.


SGAI

AI-2021 Forty-first SGAI International Conference on Artificial Intelligence
CAMBRIDGE, ENGLAND 14-16 DECEMBER 2021 - a virtual conference


home | schedule | workshop sessions | technical & application sessions
technical stream | application stream | workshops
proceedings | registration | sponsors | organisers
enquiries | panel session | virtual posters | short paper presentations
ai open mic | information for speakers | previous conferences
paper submission and info for authors | accepted papers

BCS