Gary Smith

Senior Researcher

Gary Smith is a senior software engineer at the Nimbus research with a keen interest in the internet of things (IoT), device communication and data collection. Graduating with a certificate of excellence for best academic performance, he completed a first class B.Sc honours degree in Web Systems Development from the Computer Science department in University College Cork (UCC) in 2012. As an undergrad, he was awarded the UCC scholarship for outstanding academic performance.

Within Nimbus, he acts as an applications software engineer for a myriad of domains, performing full stack development in web, mobile, tablet and micro-controller applications. He has experience, applying a broad range of low-to-high level languages and frameworks in real world industrial applications. He has a background in ingesting data flows from heterogenous systems and integrating same with micro-services and RESTful API’s.

 
 
C. O’Leary, C. Lynch, R. Bain, G. Smith, D. Grimes, “A Comparison of Deep Learning vs Traditional Machine Learning for Electricity Price Forecasting”, ICICT 2021, 4th International Conference on Information and Computer Technologies, Kahului, Maui Island, Hawaii, United States, 11-14 March 2021. DOI: 10.1109/ICICT52872.2021.00009 – Awarded Best Conference Presentation Certificate
 
C. Lynch, C. O’Leary, G. Smith, R. Bain, J. Kehoe, A. Vakaloudis, R. Linger, “A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification”, WCCI 2020, IEEE World Conference on Computational Intelligence, Glasgow, Scotland, 19-24th July 2020.
 

C. Lynch, J. Kehoe, R. Bain, F. Zhang, J. Flynn, C. O’Leary, G. Smith, R. Linger, K. Fitzgibbon and F. Feijoo, “SVM-Based Day-Ahead Electricity Price Prediction Model for the Single Electricity Market in Ireland”, ISF 2019, 39th International Symposium on Forecasting, Thessaloniki, Greece, 16 -19th Jun. 2019.