Building Research Relationships with the School of Computer Science and Statistics2019 June 20
The spotlight fell firmly on both the computer science innovators and innovations of tomorrow at a special showcase held in the School of Computer Science and Statistics, Trinity College Dublin on Thursday 20th June, when postgraduate students presented their next-gen research to industry guests.
The theme of the showcase, Building a Research Relationship with TCD,began with a business breakfast focusing on how businesses can grow by engaging in research relationships with Trinity. Stories from industry collaborations with TCD were shared.
Jamie Cudden, Smart City Programme Manager, Dublin City Council collaborating with CONNECT
Sean Carthy, Founder of Searsol collaborating with Learnovate
Derek Collins, Director of Industry Engagement & Co-operation, HUAWEI’s Irish Research Centre collaborating with ADAPT.
Dr. Gerard Lacey, Associate Professor in Graphics and Vision from the School of Computer Science and Statistics and Dr. John Whelan from Trnity Research and Innovation presented an Academy perspective.
The showcase of MSc Dissertations in progress, displayed in the O’Reilly Institute, facilitated MSc in Computer Science candidates to meet and informally engage with future potential employers in the computer science and technology sector. The event offered guests from industry, academia and public service the chance to grab a sneak peek at the latest technology and talent emerging from Trinity.
Examples of the research projects displayed, which fall into one of four distinct strands of the MSc in Computer Science programme (Data Science, Intelligent Systems, Future Networks, Augmented and Virtual Reality), include:
Analysis and prediction of intrusion attempts on internet servers (Data Science strand): This research aims to enhance “Intrusion Detection Systems”, which are akin to burglar alarms for internet servers. Exploring data can provide information on attack trends and geo-spatial and temporal patterns, from which Machine Learning systems can be developed to predict malicious activity.
“eCommute” – a smart mobility system to generate sustainable, personalised and context-aware route recommendations (Intelligent Systems strand): This project aims to develop an automated and personally adaptive software solution that optimises the use of public transport systems and at the same time reduces a user’s carbon footprint.
Blockchain-based mobile wi-fi roaming (Future Networks strand): This project investigates the design, implementation and evaluation of a blockchain-based Wi-Fi roaming solution, which will allow users to roam freely between a cellular network and a Wi-Fi network with an existing identification issued by the carrier. Blockchain technology allows trust to be established between cellular carriers and Wi-Fi network providers for authentication, authorization, and accounting (AAA) protocols that can be used in billing and profit sharing.
Multi-view camera synthesis for improved 3D reconstruction (Augmented & Virtual Reality strand): This research proposes to improve digital 3D reconstructions of human motion by using a neural network to synthesise novel images that can be inserted to fill in gaps in between images that have been captured by real cameras.
Assistant Professor in Computer Science at Trinity, John Dingliana, said: “Our students presented examples of work-in-progress research that they are conducting within the School’s new MSc in Computer Science programme. These research projects require a commitment of 600-750 hours of work over the academic year, culminating in the submission of a dissertation in mid-August.
The research projects, a selection of which were displayed at this event, represent very specialised work, which we expect to deliver novel results that address some of today’s cutting-edge technological challenges.”
Posted by: Catherine O’Connor, Head of External Relations, School of Computer Science and Statistics, Trinity College Dublin