Dr. María Inmaculada Rodríguez García (ID: 75895896J), aged 41, is a tenured academic and researcher at the University of Cádiz, Spain. She currently serves as a Tenured Associate Professor (Profesor Contratado Doctor) in the Department of Computer Science Engineering – ETSI Algeciras, where she has been in position since October 23, 2024. Her office is located at Avda. Ramón Puyol s/n, 11203-Algeciras (Cádiz), and she is accredited by ANECA while holding the position of PSI.

Her research identifiers include Researcher ID: rid62227 and ORCID: 0000-0003-1364-1678, which connect her to an extensive body of scholarly work. Her UNESCO specialization codes are 3329.07 and 5312.12, reflecting her expertise across computer science, engineering, and applied sciences.

Dr. Rodríguez García’s research interests span a wide range of cutting-edge topics, including Computer Vision, 3D Modelling, Deep Learning, Hyperspectral Imaging, Air Pollution Forecasting, Soft Computing, Machine Learning, Artificial Neural Networks, Pattern Recognition, Atmospheric Pollution, Transportation, Civil Engineering, and Technical Expression. These keywords highlight her interdisciplinary approach, bridging computational methods with environmental and engineering applications.

Her academic journey is marked by a strong foundation in both engineering and data science. She earned her B.Sc. in Civil Engineering (2009) and later a B.Eng. in Civil Engineering (2019) from the University of Cádiz. She pursued advanced studies with a M.Sc. in Teaching (2011), a M.Sc. in Civil Engineering (2019), and a M.Sc. in Port and Logistics Management (2022), all at the University of Cádiz. In parallel, she completed her Ph.D. in Civil Engineering (2023) at the same institution. Expanding her expertise further, she is currently enrolled in a Ph.D. program in Computer Science at the University of Cádiz and a M.Sc. in Data Science at the Universitat Oberta de Catalunya.

Her career reflects a unique blend of engineering, computational sciences, and applied research. By integrating machine learning techniques with environmental modelling and civil engineering applications, she has contributed to advancing knowledge in areas such as air pollution forecasting and transportation systems optimization.

Dr. Rodríguez García’s professional trajectory demonstrates her commitment to both teaching and research excellence. She continues to mentor students, publish in peer-reviewed journals, and participate in international conferences, while also contributing to the academic community through peer reviewing and collaborative projects.

• Data Analysis
• Image Analysis and Classification via Machine Learning
• Engineering and Architecture
• Civil Engineering and Construction
• Computer Science

• Rodríguez-García, M. I., Carrasco-García, M. G., Cardoso, P. J., Camarero Orive, A., & Turias-Domínguez, I. J. (2025). Comparative Evaluation of Feature Graphical Descriptors and Classifiers for Pavement Condition Assessment. 20th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2025).
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruiz-Aguilar, J. J., Turias-Domínguez, I. J., & Cubillas-Fernández, P. R. (2025). A Hybrid CNN-LSTM Model for Hyperspectral Image-Based Detection of Hydrocarbon and Clean Water. SOCO 2025.
• Rodríguez García, M. I. (2026). Aplicaciones de modelos predictivos híbridos de Deep Learning en energías renovables: Fotovoltaica, eólica, y tecnologías del hidrógeno. 1st International Conference on RH2Enovables for Industrial Defossilization / International Conference on Project Engineering and Management.
• Rodríguez García, M. I. (2026). Nuevas Tendencias de la Ingeniería Gráfica en Proyectos de Ingeniería. International Congress Nebrija, Madrid / International Conference on Project Engineering and Management.
• Carrasco García, M. G., Rodríguez García, M. I., Rodríguez Maestre, A., Ruiz Aguilar, J. J., & Turias Domínguez, I. J. (2026). IA Generativa en la Gestión de Proyectos: Aplicaciones reales y nuevas perspectivas profesionales. Congreso Internacional Nebrija, Madrid / International Conference on Project Engineering and Management.
• Rodríguez García, M. I., Carrasco García, M. G., Cubillas Fernández, P. R., Rodrigues Ribeiro, M. C., Cardoso, P. J. S., & Turias Domínguez, I. J. (2025). Air Pollution Forecasting Using Autoencoders: A Classification-Based Prediction of NO₂, PM₁₀, and SO₂ Concentrations. Nitrogen, 6(4), España: MDPI. JCR Q2.
• Rodríguez-García, M. I., Carrasco-García, M. G., Pabón-Noguera, A., Rodrigues Ribeiro, M. C., Cardoso, P. J. S., & Turias-Domínguez, I. J. (2025). Image-Based Detection of Pathologies in Paving Slabs Using Computer Vision. 4th INCREASE – International Congress on Engineering and Sustainability in the XXI Century, Faro. Oral communication.
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruiz-Aguilar, J. J., Turias-Domínguez, I. J., & Cubillas-Fernández, P. R. (2025). Enhancing Oil Spill Detection: A Hyperspectral Imaging Framework Using PCA and CNNs for Environmental Monitoring. 4th INCREASE – Faro. Oral communication.
• Rodríguez-García, M. I., Carrasco-García, M. G., Rodrigues Ribeiro, M. C., Camarero Orive, A., González-Enrique, J., & Turias, I. J. (2025). Geostatistical Approaches for the Estimation and Validation of Air Pollution Forecasting Maps. 34th INGEGRAF International Conference, Seville. Oral communication.
• Rodríguez-García, M. I., Carrasco-García, M. G., Rodríguez Maestre, A., Cubillas Fernández, P. R., & Turias, I. J. (2025). Nuevas Tendencias de la Ingeniería Gráfica en Proyectos de Ingeniería. I Congreso Internacional de Ingeniería y Gestión de Proyectos (Nebrija). Oral communication.
• Carrasco-García, M. G., Rodríguez-García, M. I., Rodríguez-Maestre, A., Ruiz-Aguilar, J. J., & Turias-Domínguez, I. J. (2025). Generative AI in Project Management: Real Applications and New Professional Perspective. I Congreso Internacional de Ingeniería y Gestión de Proyectos (Nebrija). Oral communication.
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias Domínguez, I. J. (2025). Machine Learning and Deep Learning for Water Pollution Detection using Hyperspectral Imaging. Smart Water Quality Monitoring, Springer.
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., Alcántara-Pérez, J. M., & Turias Domínguez, I. J. (2025). Hyperspectral imaging and artificial neural networks for oil spills automatic detection. Logic Journal of the IGPL. JCR: Q1.
• Contreras-Fortes, J., Rodríguez-García, M. I., Sales, D. L., Sánchez-Miranda, R., Almagro, J. F., & Turias, I. (2024a). Virtual Sensor for Estimating the Strain-Hardening Rate of Austenitic Stainless Steels Using a Machine Learning Approach. Applied Sciences, 14(13), 5508.
• Castillo Rivera, J. C., Rodríguez-García, M. I., Carrasco-García, M. G., & Turias Domínguez, I. J. (2024). Stress Concentration Modelling in Internal Stiffeners of Ship-to-shore Quay Cranes Legs due to Structural Heightening. Applied Sciences. JCR: Q1.
• Pabón-Noguera, A., Carrasco-García, M. G., Ruíz-Aguilar, J. J., Rodríguez-García, M. I., Cerbán-Jiménez, M., & Turias Domínguez, I. J. (2024). Multicriteria decision model for port evaluation and ranking: An analysis of container terminals in Latin America and the Caribbean using PCA-TOPSIS methodologies. Applied Sciences. JCR: Q1.
• Carrasco-García, M. G., Rodríguez-García, M. I., Ruíz-Aguilar, J. J., Deka, L., Elizondo, D., & Turias Domínguez, I. J. (2024). Oil Spill Classification Using an Autoencoder and Hyperspectral Technology. Journal of Marine Science and Engineering. JCR: Q1.
• Rodríguez-García, M. I., Carrasco-García, M. G., Rodrigues Ribeiro, M. C., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2024). Air Pollution PM10 Forecasting Maps in the Maritime Area of the Bay of Algeciras (Spain). Journal of Marine Science and Engineering. JCR: Q1.
• Contreras-Fortes, J., Rodríguez-García, M. I., Sales, D. L., Sánchez-Miranda, R., Almagro, J. F., & Turias, I. (2023). A Machine Learning Approach for Modelling Cold-Rolling Curves for Various Stainless Steels. Materials. JCR: Q2.
• Ortega-Leon, A., Khaled, R., Rodríguez-García, M. I., Urda, D., & Turias, I. J. (2023). A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data. Lecture Notes in Computer Science, LNBI 13919, 419–430.
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Cubillas-Fernández, P. R., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Hyperspectral Technology for Oil Spills Detection by Using Artificial Neural Network Classifier. SOCO 2023.
• González-Enrique, J., Rodríguez-García, M. I., Carrasco-García, M. G., Felis Enguix, I., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). A deep learning approach to generate maps of forecasted chlorophyll-ɑ concentrations in El Mar Menor (Spain). Logic Journal of the IGPL.
• Rodríguez-García, M. I., Carrasco-García, M. G., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Air pollution forecasting using Long Short-Term Memory networks in the Bay of Algeciras (Spain). Transportation Research Procedia, 71, 339–346.
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Hyperspectral technology for oil spills characterisation by using feature selection. Transportation Research Procedia, 71, 117–123.
• Rodríguez-García, M. I., Carrasco-García, M. G., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). SO₂ forecasting using Long Short-Term Memory Networks in the Bay of Algeciras (Spain). XV Congreso de Ingeniería del Transporte (CIT2023).
• Carrasco-García, M. G., Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Characterisation of oil spills using hyperspectral technology and feature selection. XV Congreso de Ingeniería del Transporte (CIT2023).
• Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Autoencoders to forecast SO₂ and NO₂ concentrations in the Bay of Algeciras. Cybernetics and Systems: An International Journal, Taylor & Francis.
• Rodríguez-García, M. I., Carrasco-García, M. G., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). LSTM approach for short-term air quality forecasting in the Bay of Algeciras (Spain). Sustainability. JCR: Q2.
• Rodríguez-García, M. I., Ribeiro, C., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). Forecasting air pollutants using classification models: A case study in the Bay of Algeciras (Spain). Stochastic Environmental Research and Risk Assessment. JCR: Q1.
• Rodríguez-García, M. I., González-Enrique, J., Ruíz-Aguilar, J. J., & Turias, I. J. (2023). A SO₂ Pollution Concentrations Prediction Approach Using Autoencoders. In SOCO 2023 Proceedings, Springer Nature Switzerland, pp. 41–50.
• Rodríguez-García, M. I., Kouadria, N., León, A. M. O., González-Enrique, J., & Turias, I. J. (2023). Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators. In 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023) (pp. 208–216). Springer Nature Switzerland.
• Contreras, J., Rodríguez-García, M. I., Turias, I., Sánchez, R., Almagro, J. F., & Sales, D. L. (2022). Mathematical prediction by multiple regression and neural network of the cold rolling curves and the cold work hardening rate of stainless steel. 12th International Rolling Congress, Trieste (Italy).
• Rodríguez-García, M. I., González-Enrique, J., Ruiz Aguilar, J. J., & Turias, I. J. (2023). Una experiencia en Industria 4.0 en los grados del ámbito de la Ingeniería Industrial y Civil de la ETSIA. Modelling in Science Education and Learning, 16(1). ISSN 1988-3145.
• Rodríguez-García, M. I., González-Enrique, J., Ruiz-Aguilar, J. J., & Turias, I. J. (2022). Una experiencia en Industria 4.0 en los grados del ámbito de la Ingeniería Industrial y la Ingeniería Civil de la ETSI de Algeciras. Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas (CUIEET’29), Universitat Politècnica de València.
• Rodríguez-García, M. I., León, A. M. O., Kouadria, N., González-Enrique, J., Ruiz-Aguilar, J. J., & Turias, I. J. (2022). Nuevo enfoque para el TFG basado en competencias digitales: una experiencia en Ingeniería Civil. CUIEET’29, Universitat Politècnica de València.
• Rodríguez-García, M. I., González-Enrique, J., Moscoso-López, J. A., et al. (2022). Air pollution relevance analysis in the Bay of Algeciras (Spain). International Journal of Environmental Science and Technology. https://doi.org/10.1007/s13762-022-04466-4. JCR: Q3.
• Rodríguez-García, M. I., González-Enrique, J., Moscoso-López, J. A., Ruiz-Aguilar, J. J., Rodríguez-López, J. C., & Turias, I. J. (2021). Comparison of maritime transport influence of SO₂ levels in Algeciras and Alcornocales Park (Spain). Transportation Research Procedia, 58, 591–598. https://doi.org/10.1016/j.trpro.2021.11.078.
• Rodríguez-López, J. C., Rodríguez-García, M. I., Moscoso-López, J. A., Alcántara-Pérez, J. M., & Turias-Domínguez, I. J. (2021). Prediction of container filling for the selective waste collection in Algeciras (Spain). Transportation Research Procedia, 58, 583–590. https://doi.org/10.1016/j.trpro.2021.11.077.
• Rodríguez-García, M. I., González-Enrique, J., Moscoso-López, J. A., Ruiz-Aguilar, J. J., Rodríguez, J. C., & Turias, I. J. (2021). Comparison of maritime transport influence of SO₂ levels in Algeciras and Alcornocales Park (Spain). XIV Congreso de Ingeniería del Transporte (CIT), Burgos (Spain).
• Rodríguez, J. C., Moscoso-López, J. A., Ruiz-Aguilar, J. J., Rodríguez-García, M. I., Alcántara-Pérez, J. M., & Turias, I. J. (2021). Prediction of container filling for the selective waste collection in Algeciras (Spain). XIV Congreso de Ingeniería del Transporte (CIT), Burgos (Spain).
• Rodríguez-García, M. I., González-Enrique, J., Moscoso-López, J. A., Ruiz-Aguilar, J. J., Rodríguez, J. C., & Turias, I. J. (2021). Effect of vessel traffic in SO₂ prediction using artificial neural networks: A case study in the port-city of Algeciras (Spain). XXI Congreso Panamericano de Transporte y Logística, Lima (Perú).
• Rodríguez-García, M. I., Moscoso-López, J. A., Ruiz-Aguilar, J. J., Alcántara-Pérez, J. M., & Turias, I. J. (2021). Forecasting of cardboard containers volume in Algeciras (Spain). XXI Congreso Panamericano de Transporte y Logística, Lima (Perú).
• Rodríguez, I., van Roode, S., Moscoso, J. A., Ruiz-Aguilar, J. J., González-Enrique, F. J., & Turias, I. J. (2020). Spatial and Meteorological Behaviour of Daily Ozone Air Pollution in the Bay of Algeciras (2010–2015). In J. Monteiro, A. João Silva, A. Mortal, J. Aníbal, M. Moreira da Silva, M. Oliveira, & N. Sousa (Eds.), INCREaSE 2019 (pp. 42–55). Springer International Publishing. https://doi.org/10.1007/978-3-030-30938-1_4.

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• https://orcid.org/0000-0003-1364-1678
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