Christian O' Leary

Senior Researcher

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Christian O’Leary is a senior researcher in Artificial Intelligence (AI) at the Nimbus Research Centre with interests in Machine Learning, Optimisation and Multi-Agent Systems. Working within Nimbus’ software team, he has worked on applications involving Computer Vision, Forecasting, Anomaly Detection, Chatbots, Sentiment Analysis and Schedule Optimisation. He has been a Principal Investigator managing some of Nimbus’ Cyber-Security projects and also has experience as a full stack developer working with a range of domains including smart microcontrollers, cloud deployments (AWS, GCP, Azure), desktop applications and web applications.

He has completed a MSc in Artificial Intelligence from CIT (2020) with a thesis on using Capsule Networks for Day-Ahead Electricity Price Forecasting. He also completed a BSc in Computer Science at UCC (2017) with a project on Multi-Agent Communication in a Search Situation. He has previously worked in Johnson Controls (formerly Tyco) as a Software Engineer.

His research interests include: AI, Machine Learning, Deep Learning, Reinforcement Learning, Metaheuristics, Decision Analytics, Image Processing, Time Series Modelling, NLP, Multi-Agent Systems, Software Architecture and Design

Besnier, B. Basu, C. O Leary, C. Lynch, S. McKeever, V. Lakshmi, “Understanding the Inniscarra reservoir fluctuations to predict downstream flooding through hydrological modelling”, 2023, American Geophysical Union (AGU) fall meeting, San Francisco, CA, December 11-15.

P. Q. An, C. O’Leary, G. Smith, M. Caballero, C. Lynch, “Evaluation of Perceptron Learning Algorithm for Day-Ahead Photovoltaic Power Forecasting”, 2023, International Symposium on Electrical and Electronics Engineering (ISEE), Vietnam, 19-20 Oct.

C. O’Leary, F. Ghassemi Toosi, C. Lynch, “A Review of AutoML Software Tools for Time Series Forecasting and Anomaly Detection”, 2023, 15th International Conference on Agents and Artificial Intelligence (ICAART), 22-24 February, Lisbon, Portugal 

C. O’Leary, C. Lynch, “An Evaluation of Machine Learning Approaches for Milk Volume Prediction in Ireland”, 2022, 33rd Irish Signals & Systems Conference (ISSC), Cork, Ireland, 9-10 June

C. O’Leary, C. Lynch, “An Evaluation of Machine Learning Approaches for Milk Volume Prediction in Ireland”, 2022, 33rd Irish Signals & Systems Conference (ISSC), Cork, Ireland, June 9-10th – accepted for presentation

Lynch C., O’Leary C., Sundareshan PGK., Akin Y., “Experimental Analysis of GBM to Expand the Time Horizon of Irish Electricity Price Forecasts”, Energies, 2021; 14(22):7587. https://doi.org/10.3390/en14227587
 
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
 

Vakaloudis, B. Cahill, C. O’Leary, D. Challa, “Preparation and execution of final year student projects on the cloud” IEEE 50th Frontiers in Education Conference, Uppsala, Sweden, October 2020.

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.

A. Vakaloudis, C. O’Leary. “A Framework for Rapid Integration of IoT Systems with Industrial Environments”
IEEE 5th World Forum on Internet of Things, Limerick, Ireland, April 2019.

Analog Devices International – AI solution to detect and segment wafer map anomalies

PlayerStat Data – Object detection and recognition for soccer analysis

SERTS – Sentiment Analysis Evaluation of Real-Time Speech

PredictView (formerly Fastmodel Technologies) – Twitter Sentiment Analysis Project