# Student Projects

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**Parent**: https://projects.scss.tcd.ie

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Student Projects

https://projects.scss.tcd.ie
School of Computer Science and Statistics
Wed, 10 Sep 2025 17:20:54 +0000
en-GB

hourly 

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Estimating the number of species
https://projects.scss.tcd.ie/2025/09/estimating-the-number-of-species/
Simon Wilson
Wed, 10 Sep 2025 17:20:54 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=3803
ELIGIBILITY: This project is for a student in the MSc in Statistics and Data Science. In this project, we’ll look at the various ways in which ecologists have attempted to answer the question ‘How many species are there?’. Some of these methods are statistical, and we’ll focus on those, but we’ll also take a look ... <a title="Estimating the number of species" class="read-more" href="https://projects.scss.tcd.ie/2025/09/estimating-the-number-of-species/" aria-label="Read more about Estimating the number of species">Read more</a>

Synthetic Data Generation of Children Performing Motor Skills
https://projects.scss.tcd.ie/2024/09/synthetic-data-generation-of-children-performing-motor-skills/
Inmaculada Arnedillo
Fri, 13 Sep 2024 07:44:47 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=3326
This project will aim to generate synthetic data of children performing a set of motor skills, such us hoping, jumping forward, skipping etc. Real data sets of children performing the skills will be provided. The end objective is to generate ML models of the children performing the various motor skills tasks.   

Face-masked Face Blurring App
https://projects.scss.tcd.ie/2024/09/face-masked-face-blurring-app/
Inmaculada Arnedillo
Fri, 13 Sep 2024 07:44:01 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=3324
This project involves creating an app to anonymise (blur) large amounts of video footage of people wearing face masks. The obfuscation technique developed should have a minimal impact on the accuracy of vision recognition models. So, the anonymised data should keep markers to core reference points such as ears, eyes, nose etc. so that the ... <a title="Face-masked Face Blurring App" class="read-more" href="https://projects.scss.tcd.ie/2024/09/face-masked-face-blurring-app/" aria-label="Read more about Face-masked Face Blurring App">Read more</a>

Identifying Employability Skills in LinkedIn Profiles
https://projects.scss.tcd.ie/2024/09/identifying-employability-skills-in-linkedin-profiles/
Inmaculada Arnedillo
Fri, 13 Sep 2024 07:43:12 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=3322
This project will look at how to assess LinkedIn profiles to identify whether the owner of the profile exhibits a set of employability skills such as reliability, common sense, commitment, motivation, enthusiasm, ability to deal with pressure, etc. The project will require an analysis of the LinkedIn features which could potentially allow users to exhibit ... <a title="Identifying Employability Skills in LinkedIn Profiles" class="read-more" href="https://projects.scss.tcd.ie/2024/09/identifying-employability-skills-in-linkedin-profiles/" aria-label="Read more about Identifying Employability Skills in LinkedIn Profiles">Read more</a>

Artificial Intelligence, the Internet of Things (IoT) and Smart Cities
https://projects.scss.tcd.ie/2020/09/artificial-intelligence-the-internet-of-things-iot-and-smart-cities/
Siobhan Clarke
Tue, 15 Sep 2020 08:26:22 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=1194
I am interested in any project that applies Artificial Intelligence and Machine Learning algorithms to real-time data gathered from sensors (or any Internet of Things devices) to address sustainability challenges in smart cities. The perspective of any stakeholder within a city is interesing to explore (citizens, commuters, bus providers, private transport providers (bike, taxi, car), ... <a title="Artificial Intelligence, the Internet of Things (IoT) and Smart Cities" class="read-more" href="https://projects.scss.tcd.ie/2020/09/artificial-intelligence-the-internet-of-things-iot-and-smart-cities/" aria-label="Read more about Artificial Intelligence, the Internet of Things (IoT) and Smart Cities">Read more</a>

Clustering multiple data sets using consensus clustering
https://projects.scss.tcd.ie/2020/09/clustering-multiple-data-sets-using-consensus-clustering/
Arthur White
Tue, 08 Sep 2020 14:56:51 +0000
Uncategorized
Data analytics
Machine Learning
Statistics
https://projects.scss.tcd.ie/?p=1173
Clustering methods are usually applied to a single data set of interest. However, several related data sets can sometimes be available. In this case it is often of interest to determine whether the features of a single data set identified by a cluster analysis are common across all data sets. Consensus clustering has been proposed ... <a title="Clustering multiple data sets using consensus clustering" class="read-more" href="https://projects.scss.tcd.ie/2020/09/clustering-multiple-data-sets-using-consensus-clustering/" aria-label="Read more about Clustering multiple data sets using consensus clustering">Read more</a>

Digital Twin Cities
https://projects.scss.tcd.ie/2019/09/digital-twin-cities/
Siobhan Clarke
Thu, 12 Sep 2019 13:00:05 +0000
Uncategorized
https://projects.scss.tcd.ie/?p=599
Supervised with the assistance of Gary White. A digital twin is a highly accurate digital representation of a physical process, person, place, system or device. Digital twins were originally designed to improve manufacturing processes using simulations that have highly accurate models of individual components. However, with increasingly scalable and accurate BIM model creation capabilities, it ... <a title="Digital Twin Cities" class="read-more" href="https://projects.scss.tcd.ie/2019/09/digital-twin-cities/" aria-label="Read more about Digital Twin Cities">Read more</a>

Deep-Learning Bibliographic Reference Strings with a 1-Billion-Instances Dataset
https://projects.scss.tcd.ie/2019/09/deep-learning-bibliographic-reference-strings-with-a-1-billion-instances-dataset/
Joeran Beel
Sun, 08 Sep 2019 09:57:02 +0000
Uncategorized
Deep Learning
Machine Learning
https://projects.scss.tcd.ie/?p=500
Problem/Background Effective citation parsing is crucial for academic search engines, patent databases and many other applications in academia, law, and intellectual property protection. It helps to identify related documents and calculate the impact of researchers and journals (e.g. h-index). “Citation parsing” refers to identifying and extracting a reference like “[4]” in the full text, and ... <a title="Deep-Learning Bibliographic Reference Strings with a 1-Billion-Instances Dataset" class="read-more" href="https://projects.scss.tcd.ie/2019/09/deep-learning-bibliographic-reference-strings-with-a-1-billion-instances-dataset/" aria-label="Read more about Deep-Learning Bibliographic Reference Strings with a 1-Billion-Instances Dataset">Read more</a>