FOCUS AREAS
Highlighted Work
- L. Addison, A. Hosang, T.-A. Tuitt, K. Manohar, and P. Hosein, “A Large Language Model (LLM) Platform for Flood Risk Education and Weather Alerts in Small Island Developing States (SIDS),” in 6th IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), American University of Sharjah, United Arab Emirates, Nov. 2024.
- A. Kemp, L. Addison, and P. Hosein, “On the Prediction of a Multidimensional Vulnerability Index for Climate Resilience,” in 6th IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), American University of Sharjah, United Arab Emirates, Nov. 2024.
- T. Tewari and P. Hosein, “Automating the Conducting of Surveys using Large Language Models,” in 5th International Conference on Deep Learning Theory and Applications, Dijon, France, 2024.
- L. Addison, K. Rajaram, K. Manohar, and S. P. Myneni, “Improving Building Energy Consumption Predictions Using Machine Learning Methods,” in Joint Statistical Meetings (JSM) Proceedings, Oct. 2023. Available: https://doi.org/10.5281/zenodo.8410995
- L. Addison, K. Rajaram, K. Manohar, and C. Charles, “OECS Disaster Risk Smart Classifier (DRSmC) Project: Climate Resilience Using Responsible AI,” Unite Research, Technical Report, 2023. Available on the Unite Research/Repository for UN Secretariat and other entities.
- K. Rajaram and L. Addison, “Predicting Hurricane Trajectories: A Comparison Between Classical Statistical Modelling and Contemporary Machine Learning Methods,” in Conference on Mathematics of Data Science (MDS22), 2022.
- L. M. Addison, G. A. Hosein, S. Bahadoorsingh, and C. Sharma, “Goodness-of-Fit Probabilistic Models for EV Charging in Caribbean Small Island States,” in Towards Sustainable Transport and Mobility, J. R. Kotzebue, Ed. 2022, p. 47.
Upcoming work
- L. M. Addison, T. Tewari, S. Gooljar, and P. Hosein, “Understanding Climate Action Perceptions in the Caribbean: Harnessing Machine Learning Insights,” MDPI Book Chapter Submission in Transitioning to Climate Action, in print.