Cloud Large Scale Video Analytics.
EU H2020 project in Big Data, utilising video data from automotive testing to address driver safety and support systems (ASAS) and advanced localisation/cartography as a data source to advance and scale video analytics.
EU H2020 Big Data, 2016-2018
My research interests include multimedia analytics, semantic search and data integration. I've worked in a variety of applications domains including security, technology enhanced learning, biomedical, multimedia archives (news), autonomous vehicles, internet of things and smart communities. I work with tools such as machine learning, computer vision, data management, ontologies and will generally reach for Python when I need to process data or implement a solution.
Cloud Large Scale Video Analytics.
Vision Inspired Driver Assistance Systems
Applying computer vision to the 720o of video data gathered from instrumented vehicles to identify and classify situations externally and internally.
EU H2020 MG3.6 Mobility, 2016-2019
Smart Stadium for Smarter Living
A collaborative initiative between DCU, Arizona State University (ASU), Intel, Microsoft and Croke Park to build an IoT testbed at Croke Park (Ireland) and Sun Devil (Arizona) Stadiums.
Silicon Republic article
Analysis System for Gathered Raw Data
Multimodal data integration from massive amounts of seized and gathered data (documents, photographs, recordings, video, etc.) to support law enforcement and forensics. EU H2020 FCT-1 Security, 2016-2020
SFI Discover Grant to run local events encouraging and facilitating girls (13-17) to consider computing (and other STEM) as a career option. Collaborating with Coding Grace and looking to engage with the many other initiatives in this space.
See here for a list of suggestions for 3rd year, 4th year & MCM projects (2016/2017).
Programming Fundamentals (project)
With Marija Bezbradica. 100% continuous assessment, practical software development, deployment, testing and management project for 3rd year EC students. Covering skills such as source code management (git), databases, web services, deployment and testing tools, UI design and reporting.
Data Management & Visualisation
Practical introduction to all aspects of gathering, cleaning, managing and visualising data including big data. Offered in the MCM and graduate studies courses. This module is run via Loop (Moodle). Please see the module page for all details. If you are interested in the topic then the following books are useful introductions to the visualisation aspect of data analytics: "Data Visualisation" by Andy Kirk & "Show Me the Numbers" by Stephen Few.
Introduction to Operating Systems
Covering fundamentals of operating systems for first year CA students. This module is run via Loop (Moodle). Please see the module page for all details.
Data Analysis & Visualisation
With Marija Bezbradica. An introduction to data analytics and visualisation for first year EC students with a focus on business skills and requirements. Learn how design and interpret information graphis.
I've made appointment slots ("Student consultation") available via my staff google calendar on Thursday afternoons from 2pm to 5pm. Go to http://goo.gl/qr9bvF, preferably while logged in to your DCU student address and find a suitable time slot. Contact me directly to make other appointments.
(call extension 6052 from the phone near the elevator on level 2)
Phone: +353 1 700 6052