Dr. Ignacio Segovia-Dominguez

Postdoctoral Research Associate

Degrees:

• Ph.D, Computer Science, Center for Research in Mathematics, Mexico, 2015
• M.S., Computer Sci. & Industrial Mathematics, Center for Research in Mathematics, Mexico, 2010
• B.S., Computational Systems Engineering, Technological Institute of Cancun, Mexico, 2008

Research Interests:

• Topological Machine Learning
• Time Series Analysis; Dynamic Networks
• Climate Informatics; Healthcare Predictive Analytics
• Numerical Optimization; Evolutionary Computation

Major Honors and Awards:

• Visiting Scientist, NASA JPL Caltech, 2021
• TIES President Appreciation Award, The International Environmetrics Society, 2020
• ConTex Postdoctoral Fellowship Award, 2019 and 2020
• Honorary Guest Distinction, University of Ricardo Palma, 2018

Representative Publications:

• Segovia-Dominguez, I.J., Lee, H., Chen, Y., Garay M., Gorski K., Gel, Y. Does Air Quality Really Impact COVID-19 Clinical Severity: Coupling NASA Satellite Datasets with Geometric Deep Learning. 2021, KDD ’21, ACM, August 14–18, 2021, Singapore.
• Ofori-Boateng, D., Segovia-Dominguez, I., Akcora, C., Kantarcioglu, M., Gel, Y.R. Topological. Anomaly Detection in Dynamic Multilayer Blockchain Networks. 2021, ECML-PKDD ’21, September 13-17, Bilbao, Basque Country, Spain.
• Chen Y., Segovia-Dominguez, I., Gel Y.R. Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting. 2021, ICML: International Conference on Machine Learning.
• Morales-Martinez, J., Segovia-Dominguez, I., Quiros, I., Horta-Rangel, F. A., Sosa-Gomez, G. A modified Multifractal Detrended Fluctuation Analysis (MFDFA) approach for multifractal analysis of precipitation. 2020, Physica A: Statistical Mechanics and its Applications.
• Segovia-Domiguez, I.J., Herrera-Guzman, R., Serrano-Rubio, J.P., Hernandez-Aguirre, A. Geometric Probabilistic Evolutionary Algorithm. 2020, Expert Systems with Applications, Vol 144, 113080.