Assistant Professor
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Ignacio Segovia-Dominguez
Ignacio Segovia-Dominguez
Ignacio Segovia-Dominguez is an Assistant Professor in the School of Mathematical and Data Sciences at West Virginia University. Previous appointments include a visiting scientist position at NASA Jet Propulsion Laboratory, Caltech, a postdoctoral research associate role at the University of Texas at Dallas, and a postdoctoral fellowship at the Center for Research in Mathematics. He participates in a number of collaborative research projects with institutions across North America.
Segovia-Dominguez's research interests are in the intersection of applied mathematics, statistical modeling and computer science. His broader research agenda focuses on developing scientific-based methods to address interdisciplinary challenges, thus helping to integrate knowledge and expertise from different disciplines. His publications span the areas of machine learning, optimization, statistical modeling, computational applications, and mathematical foundations of data science. Dr. Ignacio Segovia-Dominguez received his master’s and doctoral degrees from the Department of Computer Science at the Center for Research in Mathematics (CIMAT) in Guanajuato, Mexico. Additionally, he has active participation in initiatives to support underrepresented students in STEM.
Research Interests
Research Interests
Data Science: Mathematical Foundations and Applications
Quantum Computing and Information Sciences
Statistical Pattern Recognition and Computational Statistics
Machine Learning for Social Good
Computational Mathematics
Artificial Intelligence and Mathematical Modeling for Social Sciences
Applications to Defense and National Security.
Research Expertise
Research Expertise
Computational Statistics and Climate Informatics
Numerical Optimization and Evolutionary Computation
Applications of Topological Data Analysis
Graphical Models and Applications of Information Geometry
Healthcare Predictive Analytics
Spatio-temporal Complex Networks
Selected Professional Experience
Selected Professional Experience
Adjunct Position. Lane Department of CS & EE at WVU.
Visiting Scientist. NASA Jet Propulsion Laboratory, Caltech.
Postdoctoral Research Associate. Department of Mathematical Sciences. University of Texas at Dallas.
Postdoctoral Research Fellow. Computer Science & Math departments. CIMAT.
Visiting Assistant professor. Computational Systems Engineering. TecNM-ITESG.
Lecturer. University of Guanajuato.
Other Selected Skills & Experience
Other Selected Skills & Experience
Spoken Languages:
English
Spanish
Various Roles in Professional and Academic Services.
Mentoring at Undergraduate and Graduate Levels.
Expertise in programming, data management, mathematical computing, and machine learning.
Media Appearance in Television, Newspaper, and Magazines.
Recent News
Recent News
Selected Media Appearance. TV, Newspapers and Magazines
April, 2025. Congratulations to Connor Lewis on his poster presentation win at the Spring Research Symposium!
April, 2025. AMS Spring Eastern Sectional Meeting, Special Session!
March, 2025. Poster presentation by Mayley Guitard at the 2025 URDC in the WV Capitol!
February, 2025. Quantum Information Processing Conference, Raleigh, NC!
February, 2025. B.S. degree program changes accepted!
January, 2025. Welcome to the team, Connor Lewis, Prasiddha Siwakoti and Hunter Lousher!
December, 2024. Poster presentations by Caleb Hoffman, Mayley Guitard, Connor Lewis, Morgan Baker, and Nya Feinstein!
November, 2023. Multiple service and recruitment events.
October, 2024. Many thanks to SIAM and the organizers of the Quantum Intersections Convening!
October, 2024. Research talks at the TecNM and UAC. Many thanks to the organizers!
July, 2024. New travel award!
June, 2024. Revising existing courses and degree program.
April, 2024. Poster presentations by Caleb Hoffman, Connor Lewis, and Morgan Baker!
March, 2024. New published paper in AAAI-24!
February, 2024. New published paper in Artificial Intelligence for the Earth Systems!
December, 2023. Poster presentations by Daniel Campa and Allen Reese.
November, 2023. New accepted paper in LoG 2023!
November, 2023. Multiple service and recruitment events.
October, 2023. Research showcase in the DSCI club at WVU.
August, 2023. New position as Assistant Professor in the School of Mathematical and Data Sciences at West Virginia University. Let's Go... Mountaineers!
May, 2023. Multiple grant proposal and paper submissions.
April, 2023. New accepted paper in IGARSS 2023!!
March, 2023. New accepted paper in the Journal of Combinatorics!
February, 2023. Many thanks to all our team members (UTD, IIT, TU, JPL) for all your support during our mid-term report to NASA!
February, 2023. A new grant proposal is likely to be recommended for award!
January, 2023. Research talk in the School of Mathematical and Data Sciences at West Virginia University.
December, 2022. Poster presentation in the 2022 AGU Fall Meeting, Chicago, Illinois, USA. Many thanks to our colleague Matthew Dixon!
November, 2022. Paper presentation in the Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, USA.
October, 2022. New accepted paper, titled Learning on Health Fairness and Environmental Justice via Interactive Visualization, in the IEEE International Conference on BigData 2022.
October, 2022. Poster presentation in the ENVR 2022 Workshop: Environmental and Ecological Research with Societal Impacts at Provo, UT.
October, 2022. Plenary talk in the 5th International Conference on Mathematical Modelling, virtual, at Oaxaca, Mexico; many thanks to the organizers!
October, 2022. New accepted paper in the 36th Conference on Neural Information Processing Systems (NeurIPS-2022). ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery.
September, 2022. Member of the SpatialEpi’22 program committee, 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology.
August, 2022. New Journal Paper. Prediction of microbial growth via the hyperconic neural network approach. Chemical Engineering Research and Design.
July, 2022. Round table in the Summer Research School at the CIMAT.
June, 2022. New published paper in the 32nd European Symposium on Computer Aided Process Engineering (ESCAPE32). In Hyperconic Machine Learning to Predict Microbial Growth, we introduce ML to predict microbial growth.
June, 2022. Seminar talk in the department of Operations Research at the Naval Postgraduate School.
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