Skills:
Development of numerical simulations using Python and Fortran. Stochastic modelling and statistical inference. Cellular Automata. Bayesian networks, Unsupervised machine learning: Clustering Supervised machine learning: neural networks, random forests, regression techniques.
Current research interests:
- Inference of stochastic propagation rules using fire data. - Exploration of uncertainty propagation in fire simulations from modeling with uncertainties in the input variables in operational fire models. - Use of evolutionary algorithms for the optimization of the design of sensor networks as early fire detection systems.
J.L. Gómez, E. Marcoulaki, A. Cantizano, M. Konstantinidou, R. Caro, M. Castro, "Wildfire Mitigation in Small-to-Medium-Scale Industrial Hubs Using Cost-Effective Optimized Wireless Sensor Networks", Fire, Vol. 9, nº. 1, pp. 43, January 2026. [Online: January 2026] doi: 10.3390/fire9010043
JCR-JIF: 3,200 Q1 (2025) - SJR: 0,641 Q1 (2025) J.L. Gómez, E. Marcoulaki, A. Cantizano, M. Konstantinidou, R. Caro, M. Castro, "Simulated fire observables as indicators for optimizing wireless sensor networks in wildfire risk monitoring", Ecological Indicators, Vol. 175, pp. 113509, June 2025. [Online: May 2025] doi: 10.1016/j.ecolind.2025.113509
JCR-JIF: 8,700 Q1 (2025); - SJR: 2,099 Q1 (2025); J.L. Gómez, A. Cantizano, R. Caro, M. Castro, "Leveraging national forestry data repositories to advocate wildfire modeling towards simulation-driven risk assessment", Ecological Indicators, Vol. 158, pp. 111306, January 2024. [Online: December 2023] doi: 10.1016/j.ecolind.2023.111306
JCR-JIF: 7,400 Q1 (2024); 8,700 Q1 (2025) - SJR: 1,959 Q1 (2024); 2,099 Q1 (2025) T.M. Ribeiro, A. D’Ambrosio, G.J. Domínguez Calabuig, D. Athanasopoulos, H. Bates, C. Riegler, O. Gassot, S.B. Gerig, J.L. Gómez, N. Huber, R. Seton, T.E.C. Magalhães, "CARINA: a near-Earth D-type asteroid sample return mission", Acta Astronautica, Vol. 212, pp. 213 - 225, November 2023. [Online: August 2023] doi: 10.1016/j.actaastro.2023.07.035
JCR-JIF: 3,100 Q1 (2023); 3,700 Q1 (2025) - SJR: 1,106 Q1 (2023); 1,078 Q1 (2025) 
