Artificial Intelligence (AI), Robotics and Big Data: Academic/Research Workshop

27 Feb 2020

In this workshop, colleagues will share examples of their research

Are you working with AI, robotics or big data in your research? Are you interested in doing more to apply your work to industry? Are you interested in applying techniques from these areas, esp. AI, to scale up your work? If answer to any of these questions is “yes”, then this workshop is for you.

In this workshop, colleagues from these areas will share examples of their research addressing the varied application of these technologies through partnerships with industry. Science and engineering are increasingly becoming data driven and data centric with fast growing amount of information generated and gathered from increasing number of experiments, trials and operations, so are businesses. They become increasingly reliant on advanced machine learning technology and automation for making sense of their data and for optimising decision, efficiency and performance. AI (machine learning, deep learning), data analytics and optimisation techniques have advanced significantly in the last decades and are now making revolutionary impact in many if not all industries and businesses in this digital era.

As part of the Faculty of Science & Engineering’s Business Engagement strategy, five thematic research areas have been devised which will lead our industry engagement. One of these is AI & Big Data.

To put this strategy into practice, we would like to identify colleagues working in this area across all faculties, how you are engaging with industries/companies, and how we can collaborate to do more. This event will be led by Dr Hujun Yin, Reader in EEE and Head of Business Engagement for AI & Big Data. Lunch and refreshments will be provided.

Agenda:

12.30pm Lunch

1pm Welcome/introduction (Emma Finch and Hujun Yin)

1.10pm Hujun Yin "What deep learning (and AI) is and can do"

1.40pm Chris Yau – "On the promise of artificial intelligence for biology, medicine and healthcare"

- refreshment break -

2.20pm Goran Nenadic “Text analytics: unlocking the evidence from large-scale free-text data”

2.50pm Julia Handl “Operations Research and AI”

3.20pm John McNaught “Overview of National Centre of Text Mining”

3.35pm Discussion: How can our academic community support industry in embracing AI-related technologies?

4pm Close

Venue: Room 3.44B, Simon Building, Wednesday 11 March, 12.30pm-4pm

For any queries, contact Kiera Gould, Business Engagement Officer.