School of Computer Science and Statistics
RESTful APIs are widely used to allow components of complex, distributed systems to communicate. Their prevalence means it is essential to test them and ensure that the APIs that the different components/systems expose are functional. There are several tools to automatically generate test for them [1] (RQs 8 and 9) [2] with different levels of … Read more
RESTful APIs are widely used to allow components of complex, distributed systems to communicate. Their prevalence means it is essential to test them and ensure that the APIs that the different components/systems expose are functional. There are several tools to test them in an automated fashion [1] (RQs 8 and 9). However, the question of … Read more
ELIGIBILITY: This project is for a student enrolled in MSc in Statistics and Data Science. Interested students should contact Gabriel Palma at GPALMA@tcd.ie Deep Learning (DL)-based clustering methods, such as Variational Deep Embeddings (VaDE) [1], combine model‑based clustering (Gaussian Mixture Models, GMMs) with variational autoencoders and have shown promising results on clustering benchmarks. Building on … Read more
ELIGIBILITY: This project is for a student enrolled in MSc in Statistics and Data Science. Interested students should contact Gabriel Palma at GPALMA@tcd.ie Insect outbreaks have frequently been documented in insect pest populations in various agroecosystems presenting serious economic damage. To address this problem, Integrated Pest Management (IPM) present various techniques to reduce the insect … Read more
Eligibility: Students taking the online MSc in Statistics and Data Science. Interested students should email Caitríona Ryan at ryanc86@tcd.ie. Supervisor: Caitríona Ryan, Associate Professor in Statistics and Trial Design in the School of Medicine at Trinity College Dublin and the Wellcome-HRB Clinical Research Facility in St. James’s hospital. https://www.tcd.ie/medicine/public-health-and-primary-care/staff/caitriona-ryan/ I would be happy to … Read more
(Please note this project is only for MSc in Statistics and Sustainability dissertations) Project background and requirement: Trace gases such as nitrogen dioxide, sulphur dioxide, carbon monoxide and ozone are regulated because of their effect on respiratory and cardiovascular health. They are measured very accurately by ground reference stations, but those stations are sparse and … Read more
Eligibility: this project is only available to students on the online MSc Statistics and Sustainability programme. If interested please contact Cangxiong Chen at Cangxiong.Chen@tcd.ie (personal webpage https://cangxiongchen.github.io/). Knowledge distillation is a machine learning technique in which a smaller student model learns to reproduce information from a larger teacher model, typically using the teacher’s outputs as … Read more
Eligibility: this project is only available to students on the online MSc Statistics and Data Science programme. If interested please contact Cangxiong Chen at Cangxiong.Chen@tcd.ie (personal webpage https://cangxiongchen.github.io/). Modern neural networks are usually overparameterised, i.e. they contain more parameters than necessary to fit the training data. The additional capacity from overparameterisation can improve optimisation and … Read more
Eligibility: This project is only available to students on the online MSc Statistics and Data Science programme. If you are interested, please contact Dr. Rishabh Vishwakarma at rishabh.vishwakarma@tcd.ie Biodiversity and ecosystem function (BEF) studies investigate how diversity, including the number of species and their relative proportions affect the outputs (functions) of an ecosystem. Commonly, BEF experiments establish communities with different species and varying sown proportions at a timepoint t … Read more
Eligibility: This project is only available to students on the online MSc Statistics and Data Science programme. If you are interested, please contact Dr. Rishabh Vishwakarma at rishabh.vishwakarma@tcd.ie. Biodiversity and ecosystem function (BEF) studies investigate how diversity, including the number of species and their relative proportions affect the outputs (functions) of an ecosystem. Commonly, BEF … Read more