Computing and Informatics Research and Industry Showcase 2024

The Industry Showcase section is a collaborative event and will provide information and opportunities to:

• Find out about relevant Knowledge Exchange funding and how our staff may be able to work with you
• Find out how we can support your talent recruitment through placements, graduate recruitment and apprenticeships
• Help us to understand your needs as employers so that we can align our teaching to provide you with suitable graduates.

Discussions on the day will include:

• The use of generative AI (eg ChatGPT) within industry, and what knowledge and skills you expect our students to have
• The future of placements
• A framework for live projects

Registration

Poster submissions

All poster presenters are kindly requested to adhere to the poster guidelines provided by the NTU Doctoral School. These guidelines serve as a framework for creating and presenting posters at the event. By following these guidelines, presenters can ensure that their posters are visually appealing, well-structured, and effectively communicate their research findings. It is encouraged that presenters carefully review and implement the guidelines to enhance the overall quality and impact of their posters.

To streamline the submission process and ensure efficient management, all posters MUST be submitted through the Conference Management Toolkit. This toolkit serves as a centralised platform for collecting and organising abstracts, enabling easy access and effective coordination for the event organisers.

Deadline:

The role of functional safety and risk for AI systems applied to healthcare

This session focuses on the convergence of digital health, translation science, and AI, highlighting their increasing importance in the healthcare sector. Peter Bannister, MD of Romilly Life Sciences, with a background in medical imaging and AI from Oxford, is a notable figure in this space. His expertise spans successful collaborations with industry giants like Siemens Healthineers and Rolls Royce Plc, as well as influential roles within prestigious organizations like the Academy of Medical Sciences and the Institution of Engineering and Technology. Bannister's work underscores the critical role of robust regulatory pathways and risk analysis in guiding the development and commercialization of AI-driven healthcare products, ensuring their safe and effective integration into clinical practice.

Explainable AI in Education and Health

Ethical and safety considerations inherent in the rapid evolution of artificial and synthetic intelligence (AI). Delving into the multifaceted dimensions of AI ethics, the presentation explores issues such as privacy concerns, algorithmic bias, and the potential for job displacement. Emphasizing the need for proactive measures to mitigate risks and promote transparency and accountability, the discussion underscores the importance of interdisciplinary collaboration and stakeholder engagement in shaping safe and ethical AI policies. The presentation advocates for the development of universal international standards and protocols to guide the responsible development and deployment of AI technologies, ensuring they align with fundamental values of fairness, equity, and human dignity.

Ethics and Safety in Artificial and Synthetic Intelligence

As technology developments in Artificial Intelligence (AI) advance at an unprecedented pace, they promise significant societal benefits. This affects every aspect of our day-to-day activities, from accessing healthcare, education management and delivery to how businesses are run. It is, important to recognise that with this power comes profound ethical responsibilities and safety concerns. Ensuring that AI systems are designed and deployed responsibly is not just a technical challenge but a moral imperative. In practice, we have standards that governs manufacture of man-made artefacts, yet there are no universally agreed principles that oversee the safety and ethics of AI solutions. This presentation explores ethical and safety protocols, and regulatory measures essential for guiding AI development in a way that safeguards humanity’s best interests and upholds our shared values.

AQUABRAIN ICS: Underwater Species Behavioural Analysis

Introduces the AQUABRAIN impact case, which centres on Behavioural Analysis for AI-assisted Decision-Making (BEHAVIOR-AI), grounded in research on Intelligent Edge devices. These devices, functioning autonomously without internet connectivity, leverage AI and Machine Learning algorithms to glean insights from behavioural data. The interdisciplinary research spearheaded by Dr. Pedro Machado and Dr. Isibor Kennedy Ihianle merges expertise in neuromorphic engineering, edge computing, and pervasive computing. This initiative extends its reach across sectors, notably in healthcare, agriculture/aquaculture, and environmental monitoring, aligning with Sustainable Development Goals. One significant application lies in personalized temperature regulation through Intelligent Edge devices, crucial for enhancing well-being and mitigating heat-related illnesses. As the event unfolds, there will be a focus on leveraging these insights to prepare and submit applications for Horizon and UKRI calls, harnessing the potential of this research to address pressing societal challenges while fostering sustainable practices and ecosystem preservation.

Research at NTU

Research at NTU event is a significant platform for researchers, Postgraduate Researchers (PGRs), Early Career Researchers (ECRs), and Research Groups to showcase their work. Specifically targeting PGRs in computer science, this symposium provides a valuable opportunity to present and discuss research findings.

Research at NTU

Recent developments in the field of AI, particularly the Generative AI has created the potential to disrupt business and industry. Failing to take advantage of the benefits of this revolution can be costly for business.  This workshop has been designed to demonstrate the potential application of GenAI in the creative design process and new product development. The workshop has been supported by the generous support from Omnivati, a US-Australian company who have developed a digital tool to utilise Systematic Inventive Thinking (SIT) methodology and has interfaced the solution with ChatGPT and Dall-E to augment the creative design process. During this workshop, participants will be introduced to the basic concepts of SIT and the digital tool designed for this purpose. As part of this workshop, participants will be provided with free (time-limited) access to Omnivati software tool. A selection of projects undertaken by our PG students will then be introduced as use case scenario for practice. The idea for using use case scenarios is to demonstrate how creative ideas can be produced in unfamiliar domains when ideation is supported through Gen AI. It is anticipated that this should provide a benchmark for effectiveness of the Generative AI in the participants’ business domain.

Research at NTU - Afternoon sessions – Abstracts and Biographies