Improving existing REST API test generation methods

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. Several tools exist to automatically generate tests for them [1] (RQs 8 and 9) [2] with different levels of success … Read more

Comparing test generation tools for REST APIs

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

Comparing test criteria for REST APIs

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

Deep learning clustering methods applied to outbreak classification

ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. 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 recent advances … Read more

Bayesian Hierarchical Models applied to insect outbreak forecasting

ELIGIBILITY: This project is for a student taking the MSc in Statistics and Sustainability. 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 population … Read more

Design and Analysis of Clinical Trials

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

Fusing Sentinel-5P Satellite Observations with Ground Sensors to Map and Forecast Trace Gases over Large Regions

(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

Knowledge distillation for sustainable prediction

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

Energy–performance trade-offs in compressed overparameterised neural networks

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

Regression with uncontrolled changes in predictors

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